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Neddermann-Carrillo S, Abidi L, Gea A, Bes-Rastrollo M, de la Fuente-Arrillaga C, Lahortiga-Ramos F, Martínez-González MÁ, Pardavila-Belio MI, Ruiz-Canela M. Tobacco and alcohol co-use: Lifestyle and sociodemographic factors, and personality aspects as potential predictors in the "Seguimiento Universidad de Navarra" cohort. Res Nurs Health 2024; 47:251-265. [PMID: 38217468 DOI: 10.1002/nur.22367] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Revised: 11/08/2023] [Accepted: 12/24/2023] [Indexed: 01/15/2024]
Abstract
Tobacco and alcohol co-use are two major lifestyle modifiable risk factors. Understanding the determinants of both behaviors helps to develop interventions to prevent these exposures. However, previous studies have focused on predictors of individual tobacco or alcohol use. This study aims to explore the potential predictors of tobacco and alcohol co-use among Spanish university graduates from the "Seguimiento Universidad de Navarra" (SUN) cohort study. A total of 7175 participants who were co-users of tobacco and alcohol were selected for this cross-sectional analysis. Their mean age was 39.1 years (12.04 SD) and 57.3% were women. Univariate regression models were used to select the potential predictors of tobacco and alcohol co-use, and the areas under the ROC curves (AUC) were calculated. Multivariable logistic regression models were used to create a predictive model. Baseline potential predictors included sociodemographic factors, lifestyle habits, and perceived personality aspects. In the multivariable model, the main significant potential predictors of tobacco and alcohol co-use were driving under the influence of alcohol (odds ratio [OR] = 1.65 [1.43-1.90]), drinking 1-2 cups of coffee daily (OR = 1.50 [1.24-1.84]), drinking three or more cups of coffee daily (OR = 1.61 [1.35-1.91]), and doing more physical activity than recommended (OR = 1.18 [1.02-1.34]) when compared with the reference group. Conversely, those who were married (OR = 0.87 [0.75-0.99], ate at home 7 days a week (OR = 0.69 [0.60-0.80]), or had a high perceived level of competitiveness (OR = 0.83 [0.72-0.95]) had a lower risk of co-use (AUC 0.61 [confidence interval 95% 0.59-0.63]), compared to the reference group. These results could be used by healthcare professionals, especially nurses, to effectively assess patients at higher risk of tobacco and alcohol co-use. [Correction added on 16 February 2024, after first online publication: The abstract section has been revised to provide more clarity in this version.].
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Affiliation(s)
- Sofía Neddermann-Carrillo
- Department of Community Nursing and Maternal & Child Health Care, University of Navarra, Pamplona, Navarra, Spain
- IdiSNA, Navarra Institute for Health Research, Pamplona, Spain
| | - Latifa Abidi
- Department of Health Promotion, Faculty of Health, Medicine, and Life Sciences, Maastricht University, Maastricht, Limburg, The Netherlands
| | - Alfredo Gea
- IdiSNA, Navarra Institute for Health Research, Pamplona, Spain
- Department of Preventive Medicine and Public Health, Faculty of Medicine, University of Navarra, Pamplona, Navarra, Spain
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III, Madrid, Spain
| | - Maira Bes-Rastrollo
- IdiSNA, Navarra Institute for Health Research, Pamplona, Spain
- Department of Preventive Medicine and Public Health, Faculty of Medicine, University of Navarra, Pamplona, Navarra, Spain
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III, Madrid, Spain
| | - Carmen de la Fuente-Arrillaga
- IdiSNA, Navarra Institute for Health Research, Pamplona, Spain
- Department of Preventive Medicine and Public Health, Faculty of Medicine, University of Navarra, Pamplona, Navarra, Spain
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III, Madrid, Spain
| | - Francisca Lahortiga-Ramos
- IdiSNA, Navarra Institute for Health Research, Pamplona, Spain
- Department of Psychiatry and Clinical Psycology, University Clinic of Navarra, Pamplona, Navarra, Spain
| | - Miguel Ángel Martínez-González
- IdiSNA, Navarra Institute for Health Research, Pamplona, Spain
- Department of Preventive Medicine and Public Health, Faculty of Medicine, University of Navarra, Pamplona, Navarra, Spain
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III, Madrid, Spain
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Miren Idoia Pardavila-Belio
- Department of Community Nursing and Maternal & Child Health Care, University of Navarra, Pamplona, Navarra, Spain
- IdiSNA, Navarra Institute for Health Research, Pamplona, Spain
| | - Miguel Ruiz-Canela
- IdiSNA, Navarra Institute for Health Research, Pamplona, Spain
- Department of Preventive Medicine and Public Health, Faculty of Medicine, University of Navarra, Pamplona, Navarra, Spain
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III, Madrid, Spain
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García-Gavilán JF, Atzeni A, Babio N, Liang L, Belzer C, Vioque J, Corella D, Fitó M, Vidal J, Moreno-Indias I, Torres-Collado L, Coltell O, Toledo E, Clish C, Hernando J, Yun H, Hernández-Cacho A, Jeanfavre S, Dennis C, Gómez-Pérez AM, Martínez MA, Ruiz-Canela M, Tinahones FJ, Hu FB, Salas-Salvadó J. Effect of 1-year lifestyle intervention with energy-reduced Mediterranean diet and physical activity promotion on the gut metabolome and microbiota: a randomized clinical trial. Am J Clin Nutr 2024:S0002-9165(24)00167-9. [PMID: 38428742 DOI: 10.1016/j.ajcnut.2024.02.021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2023] [Revised: 02/23/2024] [Accepted: 02/26/2024] [Indexed: 03/03/2024] Open
Abstract
BACKGROUND The health benefits of the Mediterranean diet (MedDiet) have been linked to the presence of beneficial gut microbes and related metabolites. However, its impact on the fecal metabolome remains poorly understood. OBJECTIVES Our goal was to investigate the weight-loss effects of a 1-y lifestyle intervention based on an energy-reduced MedDiet coupled with physical activity (intervention group), compared with an ad libitum MedDiet (control group), on fecal metabolites, fecal microbiota, and their potential association with cardiovascular disease risk factors. METHODS A total of 400 participants (200 from each study group), aged 55-75 y, and at high cardiovascular disease risk, were included. Dietary and lifestyle information, anthropometric measurements, blood biochemical parameters, and stool samples were collected at baseline and after 1 y of follow-up. Liquid chromatography-tandem mass spectrometry was used to profile endogenous fecal metabolites, and 16S amplicon sequencing was employed to profile the fecal microbiota. RESULTS Compared with the control group, the intervention group exhibited greater weight loss and improvement in various cardiovascular disease risk factors. We identified intervention effects on 4 stool metabolites and subnetworks primarily composed of bile acids, ceramides, and sphingosines, fatty acids, carnitines, nucleotides, and metabolites of purine and the Krebs cycle. Some of these were associated with changes in several cardiovascular disease risk factors. In addition, we observed a reduction in the abundance of the genera Eubacterium hallii group and Dorea, and an increase in alpha diversity in the intervention group after 1 y of follow-up. Changes in the intervention-related microbiota profiles were also associated with alterations in different fecal metabolite subnetworks and some cardiovascular disease risk factors. CONCLUSIONS An intervention based on an energy-reduced MedDiet and physical activity promotion, compared with an ad libitum MedDiet, was associated with improvements in cardiometabolic risk factors, potentially through modulation of the fecal microbiota and metabolome. This trial was registered at https://www.isrctn.com/ as ISRCTN89898870 (https://doi.org/10.1186/ISRCTN89898870).
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Affiliation(s)
- Jesús F García-Gavilán
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain; Departament de Bioquímica i Biotecnologia, Alimentaciò, Nutrició, Desenvolupament i Salut Mental (ANUT-DSM), Universitat Rovira i Virgili, Reus, Spain; Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
| | - Alessandro Atzeni
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain; Departament de Bioquímica i Biotecnologia, Alimentaciò, Nutrició, Desenvolupament i Salut Mental (ANUT-DSM), Universitat Rovira i Virgili, Reus, Spain; Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain.
| | - Nancy Babio
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain; Departament de Bioquímica i Biotecnologia, Alimentaciò, Nutrició, Desenvolupament i Salut Mental (ANUT-DSM), Universitat Rovira i Virgili, Reus, Spain; Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
| | - Liming Liang
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, United States; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, United States
| | - Clara Belzer
- Laboratory of Microbiology, Wageningen University, Wageningen, The Netherlands
| | - Jesús Vioque
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; Instituto de Investigación Sanitaria y Biomédica de Alicante, Universidad Miguel Hernández (ISABIAL-UMH), Alicante, Spain
| | - Dolores Corella
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain; Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Montserrat Fitó
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain; Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d'Investigació Médica (IMIM), Barcelona, Spain
| | - Josep Vidal
- CIBER Diabetes y Enfermedades Metabólicas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Department of Endocrinology, Institut d'Investigacions Biomédiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Isabel Moreno-Indias
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain; Department of Endocrinology and Nutrition, Instituto de Investigación Biomédica de Málaga (IBIMA), Hospital Universitario Virgen de la Victoria, Málaga, Spain
| | - Laura Torres-Collado
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; Instituto de Investigación Sanitaria y Biomédica de Alicante, Universidad Miguel Hernández (ISABIAL-UMH), Alicante, Spain
| | - Oscar Coltell
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain; Department of Computer Languages and Systems, Jaume I University, Castellón, Spain
| | - Estefanía Toledo
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain; Department of Preventive Medicine and Public Health, University of Navarra, Pamplona, Spain; Epidemiología y Salud Pública, Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Spain
| | - Clary Clish
- Metabolomics Platform, The Broad Institute of MIT and Harvard, Boston, MA, United States
| | - Javier Hernando
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain; Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d'Investigació Médica (IMIM), Barcelona, Spain
| | - Huan Yun
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, United States; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, United States
| | - Adrián Hernández-Cacho
- Departament de Bioquímica i Biotecnologia, Alimentaciò, Nutrició, Desenvolupament i Salut Mental (ANUT-DSM), Universitat Rovira i Virgili, Reus, Spain; Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
| | - Sarah Jeanfavre
- Metabolomics Platform, The Broad Institute of MIT and Harvard, Boston, MA, United States
| | - Courtney Dennis
- Metabolomics Platform, The Broad Institute of MIT and Harvard, Boston, MA, United States
| | - Ana M Gómez-Pérez
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain; Department of Endocrinology and Nutrition, Instituto de Investigación Biomédica de Málaga (IBIMA), Hospital Universitario Virgen de la Victoria, Málaga, Spain
| | - Maria Angeles Martínez
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain; Departament de Bioquímica i Biotecnologia, Alimentaciò, Nutrició, Desenvolupament i Salut Mental (ANUT-DSM), Universitat Rovira i Virgili, Reus, Spain; Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
| | - Miguel Ruiz-Canela
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain; Department of Preventive Medicine and Public Health, University of Navarra, Pamplona, Spain; Epidemiología y Salud Pública, Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Spain
| | - Francisco J Tinahones
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain; Department of Endocrinology and Nutrition, Instituto de Investigación Biomédica de Málaga (IBIMA), Hospital Universitario Virgen de la Victoria, Málaga, Spain
| | - Frank B Hu
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA, United States; Channing Division for Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States
| | - Jordi Salas-Salvadó
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain; Departament de Bioquímica i Biotecnologia, Alimentaciò, Nutrició, Desenvolupament i Salut Mental (ANUT-DSM), Universitat Rovira i Virgili, Reus, Spain; Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain.
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Barrio-Lopez MT, Ruiz-Canela M, Goni L, Valiente AM, Garcia SR, de la O V, Anton BD, Fernandez-Friera L, Castellanos E, Martínez-González MA, Almendral J. Mediterranean diet and epicardial adipose tissue in patients with atrial fibrillation treated with ablation: a substudy of the 'PREDIMAR' trial. Eur J Prev Cardiol 2024; 31:348-355. [PMID: 37950920 DOI: 10.1093/eurjpc/zwad355] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/30/2023] [Revised: 08/21/2023] [Accepted: 11/07/2023] [Indexed: 11/13/2023]
Abstract
AIMS To analyse the relationship between Mediterranean diet (MedDiet) adherence and epicardial adipose tissue (EAT) in patients with atrial fibrillation (AF) and the association between EAT or MedDiet adherence at baseline with AF recurrence after ablation. METHODS AND RESULTS We included 199 patients from the PREDIMAR trial (PREvención con DIeta Mediterránea de Arritmias Recurrentes), in a single centre in this substudy. All of them had a computed tomography with EAT measurement. Lifestyle and clinical characteristics were obtained at baseline. The traditional MedDiet pattern was defined according to the MedDiet Adherence Screener (MEDAS). Any documented AF > 30 s after ablation was considered a recurrence. Multivariable-adjusted linear and logistic regression models were run to assess the cross-sectional association of MedDiet with EAT, and of EAT with the AF type at baseline. Also, Cox regression models were used to prospectively assess the associations of MedDiet adherence and EAT with AF recurrences after ablation. Median EAT was 135 g (interquartile range: 112-177), and the mean MedDiet score was 7.75 ± 2 points. A higher MEDAS ≥ 7 that was associated with lower odds of an EAT ≥ 135 g [multivariable odds ratio (mOR) = 0.45; 95% CI = 0.22-0.91; P = 0.025] was significantly associated with persistent AF after adjusting for traditional risk factors (mOR: 2.22; 95% CI: 1.03-4.79; P = 0.042). No significant associations were observed between EAT ≥ 135 g and the risk of atrial tachyarrhythmia recurrences after ablation [multivariable-adjusted hazard ratio (mHR) = 1.18; 95% CI: 0.72-1.94; P = 0.512], or between MEDAS ≥ 7 and AF recurrence (mHR = 0.78; 95% CI: 0.47-1.31; P = 0.344). CONCLUSION In patients with AF, higher adherence to MedDiet is associated with a significantly lower amount of EAT. Epicardial adipose tissue ≥ 135 g was significantly associated with persistent AF.
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Affiliation(s)
- María Teresa Barrio-Lopez
- Electrophysiology Laboratory and Arrhythmia Unit, Centro integral de Enfermedades Cardiovasculares (HM CIEC), Hospital Universitario HM Monteprincipe, HM Hospitales, Avda Monteprincipe 25, 28660 Madrid, Spain
| | - Miguel Ruiz-Canela
- Department of Preventive Medicine and Public Health, University of Navarra, IDISNA (Instituto de Investigación Sanitaria de Navarra), Pamplona, Spain
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain
| | - Leticia Goni
- Department of Preventive Medicine and Public Health, University of Navarra, IDISNA (Instituto de Investigación Sanitaria de Navarra), Pamplona, Spain
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain
| | - Almudena Martinez Valiente
- Cardiac Imagine Unit, Centro integral de Enfermedades Cardiovasculares (HM CIEC), Hospital Universitario HM Monteprincipe, HM Hospitales, Madrid, Spain
| | - Silvia Romero Garcia
- Cardiac Imagine Unit, Centro integral de Enfermedades Cardiovasculares (HM CIEC), Hospital Universitario HM Monteprincipe, HM Hospitales, Madrid, Spain
| | - Víctor de la O
- IMDEA-Food Institute (Madrid Institute for Advances Studies), Campus of International Excellence (CEI), 28040 Madrid, Spain
| | - Belen Diaz Anton
- Cardiac Imagine Unit, Centro integral de Enfermedades Cardiovasculares (HM CIEC), Hospital Universitario HM Monteprincipe, HM Hospitales, Madrid, Spain
| | - Leticia Fernandez-Friera
- Cardiac Imagine Unit, Centro integral de Enfermedades Cardiovasculares (HM CIEC), Hospital Universitario HM Monteprincipe, HM Hospitales, Madrid, Spain
| | - Eduardo Castellanos
- Electrophysiology Laboratory and Arrhythmia Unit, Centro integral de Enfermedades Cardiovasculares (HM CIEC), Hospital Universitario HM Monteprincipe, HM Hospitales, Avda Monteprincipe 25, 28660 Madrid, Spain
| | - Miguel Angel Martínez-González
- Department of Preventive Medicine and Public Health, University of Navarra, IDISNA (Instituto de Investigación Sanitaria de Navarra), Pamplona, Spain
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain
| | - Jesus Almendral
- Electrophysiology Laboratory and Arrhythmia Unit, Centro integral de Enfermedades Cardiovasculares (HM CIEC), Hospital Universitario HM Monteprincipe, HM Hospitales, Avda Monteprincipe 25, 28660 Madrid, Spain
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Talavera-Rodríguez I, Banegas JR, de la Cruz JJ, Martínez-Gómez D, Ruiz-Canela M, Ortolá R, Hershey MS, Artalejo FR, Sotos-Prieto M. Mediterranean lifestyle index and 24-h systolic blood pressure and heart rate in community-dwelling older adults. GeroScience 2024; 46:1357-1369. [PMID: 37561386 PMCID: PMC10828285 DOI: 10.1007/s11357-023-00898-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Accepted: 07/28/2023] [Indexed: 08/11/2023] Open
Abstract
Specific foods, nutrients, dietary patterns, and physical activity are associated with lower blood pressure (BP) and heart rate (HR), but little is known about the joint effect of lifestyle factors captured in a multidimensional score. We assessed the association of a validated Mediterranean-lifestyle (MEDLIFE) index with 24-h-ambulatory BP and HR in everyday life among community-living older adults. Data were taken from 2,184 individuals (51% females, mean age: 71.4 years) from the Seniors-ENRICA-2 cohort. The MEDLIFE index consisted of 29 items arranged in three blocks: 1) Food consumption; 2) Dietary habits; and 3) Physical activity, rest, and conviviality. A higher MEDLIFE score (0-29 points) represented a better Mediterranean lifestyle adherence. 24-h-ambulatory BP and HR were obtained with validated oscillometric devices. Analyses were performed with linear regression adjusted for the main confounders. The MEDLIFE-highest quintile (vs Q1) was associated with lower nighttime systolic BP (SBP) (-3.17 mmHg [95% CI: -5.25, -1.08]; p-trend = 0.011), greater nocturnal-SBP fall (1.67% [0.51, 2.83]; p-trend = 0.052), and lower HR (-2.04 bpm [daytime], -2.33 bpm [nighttime], and -1.93 bpm [24-h]; all p-trend < 0.001). Results were similar for each of the three blocks of MEDLIFE and by hypertension status (yes/no). Among older adults, higher adherence to MEDLIFE was associated with lower nighttime SBP, greater nocturnal-SBP fall, and lower HR in their everyday life. These results suggest a synergistic BP-related protection from the components of the Mediterranean lifestyle. Future studies should determine whether these results replicate in older adults from other Mediterranean and non-Mediterranean countries.
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Affiliation(s)
- Irene Talavera-Rodríguez
- Department of Preventive Medicine and Public Health, School of Medicine, Universidad Autónoma de Madrid, 28049, Madrid, Spain
| | - José R Banegas
- Department of Preventive Medicine and Public Health, School of Medicine, Universidad Autónoma de Madrid, 28049, Madrid, Spain
- CIBERESP (CIBER of Epidemiology and Public Health), Madrid, Spain
| | - Juan J de la Cruz
- Department of Preventive Medicine and Public Health, School of Medicine, Universidad Autónoma de Madrid, 28049, Madrid, Spain
- CIBERESP (CIBER of Epidemiology and Public Health), Madrid, Spain
| | - David Martínez-Gómez
- Department of Preventive Medicine and Public Health, School of Medicine, Universidad Autónoma de Madrid, 28049, Madrid, Spain
- CIBERESP (CIBER of Epidemiology and Public Health), Madrid, Spain
- IMDEA-Food Institute, CEI UAM + CSIC, Madrid, Spain
| | - Miguel Ruiz-Canela
- Department of Preventive Medicine and Public Health, Navarra Institute for Health Research (IdisNa), University of Navarra, 31008, Pamplona, Spain
- CIBEROBN (CIBER of Pathophysiology of Obesity and Nutrition), Madrid, Spain
| | - Rosario Ortolá
- Department of Preventive Medicine and Public Health, School of Medicine, Universidad Autónoma de Madrid, 28049, Madrid, Spain
- CIBERESP (CIBER of Epidemiology and Public Health), Madrid, Spain
| | - Maria S Hershey
- Department of Preventive Medicine and Public Health, Navarra Institute for Health Research (IdisNa), University of Navarra, 31008, Pamplona, Spain
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, 677 Huntington Avenue, Boston, MA, 02115, USA
| | - Fernando Rodríguez Artalejo
- Department of Preventive Medicine and Public Health, School of Medicine, Universidad Autónoma de Madrid, 28049, Madrid, Spain
- CIBEROBN (CIBER of Pathophysiology of Obesity and Nutrition), Madrid, Spain
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, 677 Huntington Avenue, Boston, MA, 02115, USA
| | - Mercedes Sotos-Prieto
- Department of Preventive Medicine and Public Health, School of Medicine, Universidad Autónoma de Madrid, 28049, Madrid, Spain.
- CIBERESP (CIBER of Epidemiology and Public Health), Madrid, Spain.
- IMDEA-Food Institute, CEI UAM + CSIC, Madrid, Spain.
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, 677 Huntington Avenue, Boston, MA, 02115, USA.
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5
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Semnani-Azad Z, Toledo E, Babio N, Ruiz-Canela M, Wittenbecher C, Razquin C, Wang F, Dennis C, Deik A, Clish CB, Corella D, Fitó M, Estruch R, Arós F, Ros E, García-Gavilan J, Liang L, Salas-Salvadó J, Martínez-González MA, Hu FB, Guasch-Ferré M. Plasma metabolite predictors of metabolic syndrome incidence and reversion. Metabolism 2024; 151:155742. [PMID: 38007148 PMCID: PMC10872312 DOI: 10.1016/j.metabol.2023.155742] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/02/2023] [Revised: 11/19/2023] [Accepted: 11/19/2023] [Indexed: 11/27/2023]
Abstract
BACKGROUND Metabolic Syndrome (MetS) is a progressive pathophysiological state defined by a cluster of cardiometabolic traits. However, little is known about metabolites that may be predictors of MetS incidence or reversion. Our objective was to identify plasma metabolites associated with MetS incidence or MetS reversion. METHODS The study included 1468 participants without cardiovascular disease (CVD) but at high CVD risk at enrollment from two case-cohort studies nested within the PREvención con DIeta MEDiterránea (PREDIMED) study with baseline metabolomics data. MetS was defined in accordance with the harmonized International Diabetes Federation and the American Heart Association/National Heart, Lung, and Blood Institute criteria, which include meeting 3 or more thresholds for waist circumference, triglyceride, HDL cholesterol, blood pressure, and fasting blood glucose. MetS incidence was defined by not having MetS at baseline but meeting the MetS criteria at a follow-up visit. MetS reversion was defined by MetS at baseline but not meeting MetS criteria at a follow-up visit. Plasma metabolome was profiled by LC-MS. Multivariable-adjusted Cox regression models and elastic net regularized regressions were used to assess the association of 385 annotated metabolites with MetS incidence and MetS reversion after adjusting for potential risk factors. RESULTS Of the 603 participants without baseline MetS, 298 developed MetS over the median 4.8-year follow-up. Of the 865 participants with baseline MetS, 285 experienced MetS reversion. A total of 103 and 88 individual metabolites were associated with MetS incidence and MetS reversion, respectively, after adjusting for confounders and false discovery rate correction. A metabolomic signature comprised of 77 metabolites was robustly associated with MetS incidence (HR: 1.56 (95 % CI: 1.33-1.83)), and a metabolomic signature of 83 metabolites associated with MetS reversion (HR: 1.44 (95 % CI: 1.25-1.67)), both p < 0.001. The MetS incidence and reversion signatures included several lipids (mainly glycerolipids and glycerophospholipids) and branched-chain amino acids. CONCLUSION We identified unique metabolomic signatures, primarily comprised of lipids (including glycolipids and glycerophospholipids) and branched-chain amino acids robustly associated with MetS incidence; and several amino acids and glycerophospholipids associated with MetS reversion. These signatures provide novel insights on potential distinct mechanisms underlying the conditions leading to the incidence or reversion of MetS.
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Affiliation(s)
- Zhila Semnani-Azad
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
| | - Estefanía Toledo
- Department of Preventive Medicine and Public Health, University of Navarra, Pamplona, Spain; IdiSNA, Navarra Institute for Health Research, Pamplona, Spain; Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.
| | - Nancy Babio
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana, Reus, Spain; Institut d'Investigació Sanitària Pere i Virgili, Hospital Universitari Sant Joan de Reus, Reus, Spain.
| | - Miguel Ruiz-Canela
- Department of Preventive Medicine and Public Health, University of Navarra, Pamplona, Spain; IdiSNA, Navarra Institute for Health Research, Pamplona, Spain; Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.
| | - Clemens Wittenbecher
- Division of Food and Nutrition Sciences, Department of Biology, Chalmers University of Technology, Gothenburg, Sweden.
| | - Cristina Razquin
- Department of Preventive Medicine and Public Health, University of Navarra, Pamplona, Spain; IdiSNA, Navarra Institute for Health Research, Pamplona, Spain; Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.
| | - Fenglei Wang
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
| | - Courtney Dennis
- Metabolomics Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
| | - Amy Deik
- Metabolomics Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
| | - Clary B Clish
- Metabolomics Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
| | - Dolores Corella
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Department of Preventive Medicine and Public Health, University of Valencia, Valencia, Spain.
| | - Montserrat Fitó
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; IMIM Hospital del Mar Medical Research Institute, Grup de Risc Cardiovascular i Nutrició, Barcelona, Spain.
| | - Ramon Estruch
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Department of Internal Medicine, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain.
| | - Fernando Arós
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Bioaraba Health Research Institute, Osakidetza Basque Health Service, Araba University Hospital, Vitoria-Gasteiz, Spain; University of the Basque Country (UPV/EHU), Vitoria-Gasteiz, Spain.
| | - Emilio Ros
- Lipid Clinic, Department of Endocrinology and Nutrition, August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain.
| | - Jesús García-Gavilan
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana, Reus, Spain.
| | - Liming Liang
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
| | - Jordi Salas-Salvadó
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana, Reus, Spain; Institut d'Investigació Sanitària Pere i Virgili, Hospital Universitari Sant Joan de Reus, Reus, Spain.
| | - Miguel A Martínez-González
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Department of Preventive Medicine and Public Health, University of Navarra, Pamplona, Spain; IdiSNA, Navarra Institute for Health Research, Pamplona, Spain; Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.
| | - Frank B Hu
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
| | - Marta Guasch-Ferré
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Department of Public Health and Novo Nordisk Foundation Center for Basic Metabolic Research (CBMR), University of Copenhagen, Copenhagen, Denmark.
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6
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Margara-Escudero HJ, Paz-Graniel I, García-Gavilán J, Ruiz-Canela M, Sun Q, Clish CB, Toledo E, Corella D, Estruch R, Ros E, Castañer O, Arós F, Fiol M, Guasch-Ferré M, Lapetra J, Razquin C, Dennis C, Deik A, Li J, Gómez-Gracia E, Babio N, Martínez-González MA, Hu FB, Salas-Salvadó J. Plasma metabolite profile of legume consumption and future risk of type 2 diabetes and cardiovascular disease. Cardiovasc Diabetol 2024; 23:38. [PMID: 38245716 PMCID: PMC10800064 DOI: 10.1186/s12933-023-02111-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Accepted: 12/29/2023] [Indexed: 01/22/2024] Open
Abstract
BACKGROUND Legume consumption has been linked to a reduced risk of type 2 diabetes (T2D) and cardiovascular disease (CVD), while the potential association between plasma metabolites associated with legume consumption and the risk of cardiometabolic diseases has never been explored. Therefore, we aimed to identify a metabolite signature of legume consumption, and subsequently investigate its potential association with the incidence of T2D and CVD. METHODS The current cross-sectional and longitudinal analysis was conducted in 1833 PREDIMED study participants (mean age 67 years, 57.6% women) with available baseline metabolomic data. A subset of these participants with 1-year follow-up metabolomics data (n = 1522) was used for internal validation. Plasma metabolites were assessed through liquid chromatography-tandem mass spectrometry. Cross-sectional associations between 382 different known metabolites and legume consumption were performed using elastic net regression. Associations between the identified metabolite profile and incident T2D and CVD were estimated using multivariable Cox regression models. RESULTS Specific metabolic signatures of legume consumption were identified, these included amino acids, cortisol, and various classes of lipid metabolites including diacylglycerols, triacylglycerols, plasmalogens, sphingomyelins and other metabolites. Among these identified metabolites, 22 were negatively and 18 were positively associated with legume consumption. After adjustment for recognized risk factors and legume consumption, the identified legume metabolite profile was inversely associated with T2D incidence (hazard ratio (HR) per 1 SD: 0.75, 95% CI 0.61-0.94; p = 0.017), but not with CVD incidence risk (1.01, 95% CI 0.86-1.19; p = 0.817) over the follow-up period. CONCLUSIONS This study identified a set of 40 metabolites associated with legume consumption and with a reduced risk of T2D development in a Mediterranean population at high risk of cardiovascular disease. TRIAL REGISTRATION ISRCTN35739639.
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Affiliation(s)
- Hernando J Margara-Escudero
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Alimentació, Nutrició, Desenvolupament i Salut Mental ANUT-DSM, Reus, Spain
- Alimentació, Nutrició, Desenvolupament i Salut Mental, Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
| | - Indira Paz-Graniel
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Alimentació, Nutrició, Desenvolupament i Salut Mental ANUT-DSM, Reus, Spain
- Alimentació, Nutrició, Desenvolupament i Salut Mental, Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
- Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
| | - Jesús García-Gavilán
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Alimentació, Nutrició, Desenvolupament i Salut Mental ANUT-DSM, Reus, Spain.
- Alimentació, Nutrició, Desenvolupament i Salut Mental, Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain.
- Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.
| | - Miguel Ruiz-Canela
- Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Department of Preventive Medicine and Public Health, University of Navarra, Instituto de Investigación Sanitario de Navarra (IdiSNA), Pamplona, Spain
| | - Qi Sun
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Clary B Clish
- The Broad Institute of Harvard and MIT, Boston, MA, 02142, USA
| | - Estefania Toledo
- Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Department of Preventive Medicine and Public Health, University of Navarra, Instituto de Investigación Sanitario de Navarra (IdiSNA), Pamplona, Spain
- Navarra Institute for Health Research, IdiSNA, Pamplona, Navarre, Spain
| | - Dolores Corella
- Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Ramón Estruch
- Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Department of Internal Medicine, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Emilio Ros
- Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Department of Endocrinology and Nutrition, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Lipid Clinic, Hospital Clínic, Barcelona, Spain
| | - Olga Castañer
- Centro de Investigación Biomédica en Red (CIBERESP) de Epidemiología y Salud Pública, Instituto de Salud Carlos III, Madrid, Spain
- Cardiovascular Risk and Nutrition Research Group, Hospital del Mar Research Institute, Barcelona, Spain
| | - Fernando Arós
- Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Department of Cardiology, University Hospital of Alava, Vitoria, Spain
| | - Miquel Fiol
- Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Illes Balears Health Research Institute (IdISBa), Hospital Son Espases, Palma, Spain
| | - Marta Guasch-Ferré
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Public Health, Section of Epidemiology, University of Copenhagen, Copenhagen, Denmark
- Novo Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen, Copenhagen, Denmark
| | - José Lapetra
- Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Department of Family Medicine, Research Unit, Distrito Sanitario Atención Primaria Sevilla, Seville, Spain
| | - Cristina Razquin
- Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Department of Preventive Medicine and Public Health, University of Navarra, Instituto de Investigación Sanitario de Navarra (IdiSNA), Pamplona, Spain
| | - Courtney Dennis
- The Broad Institute of Harvard and MIT, Boston, MA, 02142, USA
| | - Amy Deik
- The Broad Institute of Harvard and MIT, Boston, MA, 02142, USA
| | - Jun Li
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Enrique Gómez-Gracia
- Preventive Medicine and Public Health Department, School of Medicine, University of Málaga, 29010, Malaga, Spain
- Biomedical Research Institute of Malaga-IBIMA Plataforma BIONAND, 29010, Malaga, Spain
| | - Nancy Babio
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Alimentació, Nutrició, Desenvolupament i Salut Mental ANUT-DSM, Reus, Spain.
- Alimentació, Nutrició, Desenvolupament i Salut Mental, Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain.
- Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.
| | - Miguel A Martínez-González
- Department of Preventive Medicine and Public Health, University of Navarra, Instituto de Investigación Sanitario de Navarra (IdiSNA), Pamplona, Spain
| | - Frank B Hu
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Jordi Salas-Salvadó
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Alimentació, Nutrició, Desenvolupament i Salut Mental ANUT-DSM, Reus, Spain
- Alimentació, Nutrició, Desenvolupament i Salut Mental, Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
- Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
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7
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García-Gavilán JF, Babio N, Toledo E, Semnani-Azad Z, Razquin C, Dennis C, Deik A, Corella D, Estruch R, Ros E, Fitó M, Arós F, Fiol M, Lapetra J, Lamuela-Raventos R, Clish C, Ruiz-Canela M, Martínez-González MÁ, Hu F, Salas-Salvadó J, Guasch-Ferré M. Olive oil consumption, plasma metabolites, and risk of type 2 diabetes and cardiovascular disease. Cardiovasc Diabetol 2023; 22:340. [PMID: 38093289 PMCID: PMC10720204 DOI: 10.1186/s12933-023-02066-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/28/2023] [Accepted: 11/14/2023] [Indexed: 12/17/2023] Open
Abstract
BACKGROUND Olive oil consumption has been inversely associated with the risk of type 2 diabetes (T2D) and cardiovascular disease (CVD). However, the impact of olive oil consumption on plasma metabolites remains poorly understood. This study aims to identify plasma metabolites related to total and specific types of olive oil consumption, and to assess the prospective associations of the identified multi-metabolite profiles with the risk of T2D and CVD. METHODS The discovery population included 1837 participants at high cardiovascular risk from the PREvención con DIeta MEDiterránea (PREDIMED) trial with available metabolomics data at baseline. Olive oil consumption was determined through food-frequency questionnaires (FFQ) and adjusted for total energy. A total of 1522 participants also had available metabolomics data at year 1 and were used as the internal validation sample. Plasma metabolomics analyses were performed using LC-MS. Cross-sectional associations between 385 known candidate metabolites and olive oil consumption were assessed using elastic net regression analysis. A 10-cross-validation (CV) procedure was used, and Pearson correlation coefficients were assessed between metabolite-weighted models and FFQ-derived olive oil consumption in each pair of training-validation data sets within the discovery sample. We further estimated the prospective associations of the identified plasma multi-metabolite profile with incident T2D and CVD using multivariable Cox regression models. RESULTS We identified a metabolomic signature for the consumption of total olive oil (with 74 metabolites), VOO (with 78 metabolites), and COO (with 17 metabolites), including several lipids, acylcarnitines, and amino acids. 10-CV Pearson correlation coefficients between total olive oil consumption derived from FFQs and the multi-metabolite profile were 0.40 (95% CI 0.37, 0.44) and 0.27 (95% CI 0.22, 0.31) for the discovery and validation sample, respectively. We identified several overlapping and distinct metabolites according to the type of olive oil consumed. The baseline metabolite profiles of total and extra virgin olive oil were inversely associated with CVD incidence (HR per 1SD: 0.79; 95% CI 0.67, 0.92 for total olive oil and 0.70; 0.59, 0.83 for extra virgin olive oil) after adjustment for confounders. However, no significant associations were observed between these metabolite profiles and T2D incidence. CONCLUSIONS This study reveals a panel of plasma metabolites linked to the consumption of total and specific types of olive oil. The metabolite profiles of total olive oil consumption and extra virgin olive oil were associated with a decreased risk of incident CVD in a high cardiovascular-risk Mediterranean population, though no associations were observed with T2D incidence. TRIAL REGISTRATION The PREDIMED trial was registered at ISRCTN ( http://www.isrctn.com/ , ISRCTN35739639).
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Affiliation(s)
- Jesús F García-Gavilán
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Alimentaciò, Nutrició Desenvolupament i Salut Mental ANUT-DSM, Reus, Spain.
- Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain.
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain.
| | - Nancy Babio
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Alimentaciò, Nutrició Desenvolupament i Salut Mental ANUT-DSM, Reus, Spain
- Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
| | - Estefanía Toledo
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
- Department of Preventive Medicine and Public Health, University of Navarra, IdiSNA, Pamplona, Spain
| | - Zhila Semnani-Azad
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Cristina Razquin
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
- Department of Preventive Medicine and Public Health, University of Navarra, IdiSNA, Pamplona, Spain
| | | | - Amy Deik
- The Broad Institute of Harvard and MIT, Boston, MA, USA
| | - Dolores Corella
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
- Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Ramón Estruch
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
- Department of Internal Medicine, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain
- Institut de Nutrició I Seguretat Alimentària (INSA-UB), Universitat de Barcelona, Barcelona, Spain
| | - Emilio Ros
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
- Department of Endocrinology and Nutrition, Lipid Clinic, IDIBAPS, Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Montserrat Fitó
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
- Cardiovascular and Nutrition Research Group, Institut de Recerca Hospital del Mar, Barcelona, Spain
| | - Fernando Arós
- Bioaraba Health Research Institute, Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country UPV/EHU, 01009, Vitoria-Gasteiz, Spain
| | - Miquel Fiol
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
- Plataforma de Ensayos Clínicos, Instituto de Investigación Sanitaria Illes Balears (IdISBa), Hospital Universitario Son Espases, 07120, Palma, Spain
| | - José Lapetra
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
- Department of Family Medicine, Research Unit, Distrito Sanitario Atención Primaria Sevilla, Seville, Spain
| | - Rosa Lamuela-Raventos
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
- Institut de Nutrició I Seguretat Alimentària (INSA-UB), Universitat de Barcelona, Barcelona, Spain
- Polyphenol Research Group, Departament de Nutrició, Ciències de L'Alimentació I Gastronomia, Universitat de Barcelon (UB), Av. de Joan XXII, 27-31, 08028, Barcelona, Spain
| | - Clary Clish
- The Broad Institute of Harvard and MIT, Boston, MA, USA
| | - Miguel Ruiz-Canela
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
- Department of Preventive Medicine and Public Health, University of Navarra, IdiSNA, Pamplona, Spain
| | - Miguel Ángel Martínez-González
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
- Department of Preventive Medicine and Public Health, University of Navarra, IdiSNA, Pamplona, Spain
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Frank Hu
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Jordi Salas-Salvadó
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Alimentaciò, Nutrició Desenvolupament i Salut Mental ANUT-DSM, Reus, Spain
- Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
| | - Marta Guasch-Ferré
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
- Department of Public Health, Section of Epidemiology, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
- Faculty of Health and Medical Sciences, Novo Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen, Øster Farimagsgade 5, 1014, Copenhagen, Denmark.
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8
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Atzeni A, Nishi SK, Babio N, Belzer C, Konstanti P, Vioque J, Corella D, Castañer O, Vidal J, Moreno-Indias I, Torres-Collado L, Asensio EM, Fitó M, Gomez-Perez AM, Arias A, Ruiz-Canela M, Hu FB, Tinahones FJ, Salas-Salvadó J. Carbohydrate quality, fecal microbiota and cardiometabolic health in older adults: a cohort study. Gut Microbes 2023; 15:2246185. [PMID: 37610130 PMCID: PMC10449004 DOI: 10.1080/19490976.2023.2246185] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/21/2023] [Revised: 08/03/2023] [Accepted: 08/04/2023] [Indexed: 08/24/2023] Open
Abstract
The impact of carbohydrate quality, measured by the carbohydrate quality index (CQI), on gut microbiota and health has been scarcely investigated. The aim of this study was to cross-sectionally and longitudinally explore the relationships between CQI, fecal microbiota, and cardiometabolic risk factors in an elderly Mediterranean population at high cardiovascular risk. At baseline and 1-year, CQI was assessed from food frequency questionnaires data, cardiometabolic risk factors were measured, and fecal microbiota profiled from 16S sequencing. Multivariable-adjusted linear regression models were fitted to assess the associations between tertiles of baseline CQI, fecal microbiota, and cardiometabolic risk factors at baseline, and between tertiles of 1-year change in CQI, 1-year change in fecal microbiota and cardiometabolic risk factors. Cross-sectionally, higher CQI was positively associated with Shannon alpha diversity index, and abundance of genera Faecalibacterium and Christensenellaceae R7 group, and negatively associated with the abundance of Odoribacter, and uncultured Rhodospirillales genera. Some of these genera were associated with higher glycated hemoglobin and lower body mass index. In addition, we observed a positive association between CQI, and some pathways related with the metabolism of butyrate precursors and plants-origin molecules. Longitudinally, 1-year improvement in CQI was associated with a concurrent increase in the abundance of genera Butyrivibrio. Increased abundance of this genera was associated with 1-year improvement in insulin status. These observations suggest that a better quality of carbohydrate intake is associated with improved metabolic health, and this improvement could be modulated by greater alpha diversity and abundance of specific genera linked to beneficial metabolic outcomes.
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Affiliation(s)
- Alessandro Atzeni
- Departament de Bioquímica i Biotecnologia, Universitat Rovira i Virgili, Unitat de Nutrició Humana, Reus, Spain
- Human Nutrition Unit, Institut d’Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
| | - Stephanie K. Nishi
- Departament de Bioquímica i Biotecnologia, Universitat Rovira i Virgili, Unitat de Nutrició Humana, Reus, Spain
- Human Nutrition Unit, Institut d’Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
- Toronto 3D (Diet Digestive Tract and Disease) Knowledge Synthesis and Clinical Trials Unit, Toronto, Canada
- Clinical Nutrition and Risk Factor Modification Centre, St. Michael’s Hospital, Unity Health Toronto, Toronto, Canada
| | - Nancy Babio
- Departament de Bioquímica i Biotecnologia, Universitat Rovira i Virgili, Unitat de Nutrició Humana, Reus, Spain
- Human Nutrition Unit, Institut d’Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
| | - Clara Belzer
- Laboratory of Microbiology, Wageningen University, Wageningen, The Netherlands
| | - Prokopis Konstanti
- Laboratory of Microbiology, Wageningen University, Wageningen, The Netherlands
| | - Jesús Vioque
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
- Instituto de Investigación Sanitaria y Biomédica de Alicante, Universidad Miguel Hernández (ISABIAL-UMH), Alicante, Spain
| | - Dolores Corella
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
- Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Olga Castañer
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d’Investigació Médica (IMIM), Barcelona, Spain
| | - Josep Vidal
- CIBER Diabetes y Enfermedades Metabólicas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Endocrinology, Institut d’Investigacions Biomédiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Isabel Moreno-Indias
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
- Department of Endocrinology and Nutrition, Virgen de la Victoria University Hospital, the Biomedical Research Institute of Malaga and Platform in Nanomedicine (IBIMA-BIONAND Platform), University of Malaga, Malaga, Spain
| | - Laura Torres-Collado
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
- Instituto de Investigación Sanitaria y Biomédica de Alicante, Universidad Miguel Hernández (ISABIAL-UMH), Alicante, Spain
| | - Eva M. Asensio
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
- Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Montserrat Fitó
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d’Investigació Médica (IMIM), Barcelona, Spain
| | - Ana Maria Gomez-Perez
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
- Department of Endocrinology and Nutrition, Virgen de la Victoria University Hospital, the Biomedical Research Institute of Malaga and Platform in Nanomedicine (IBIMA-BIONAND Platform), University of Malaga, Malaga, Spain
| | - Alejandro Arias
- Department of Psychiatry, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
- Department of Human Genetics, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Miguel Ruiz-Canela
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
- Department of Preventive Medicine and Public Health, University of Navarra, Pamplona, Spain
- IdiSNA, Navarra Institute for Health Research, Pamplona, Spain
| | - Frank B. Hu
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA, USA
- Channing Division for Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Francisco J. Tinahones
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
- Department of Endocrinology and Nutrition, Virgen de la Victoria University Hospital, the Biomedical Research Institute of Malaga and Platform in Nanomedicine (IBIMA-BIONAND Platform), University of Malaga, Malaga, Spain
| | - Jordi Salas-Salvadó
- Departament de Bioquímica i Biotecnologia, Universitat Rovira i Virgili, Unitat de Nutrició Humana, Reus, Spain
- Human Nutrition Unit, Institut d’Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
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9
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Murcia-Lesmes D, Domínguez-López I, Laveriano-Santos EP, Tresserra-Rimbau A, Castro-Barquero S, Estruch R, Vazquez-Ruiz Z, Ruiz-Canela M, Razquin C, Corella D, Sorli JV, Salas-Salvadó J, Pérez-Vega KA, Gómez-Gracia E, Lapetra J, Arós F, Fiol M, Serra-Majem L, Pinto X, Ros E, Lamuela-Raventós RM. Association between tomato consumption and blood pressure in an older population at high cardiovascular risk: observational analysis of PREDIMED trial. Eur J Prev Cardiol 2023:zwad363. [PMID: 38001046 DOI: 10.1093/eurjpc/zwad363] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/24/2023] [Revised: 10/12/2023] [Accepted: 11/23/2023] [Indexed: 11/26/2023]
Abstract
AIMS Clinical studies have produced conflicting evidence on the effects of the consumption of tomatoes on blood pressure, and there are limited data from epidemiologic studies. This study assesses whether tomato consumption (Solanum lycopersicum L.) is associated with Systolic (SBP) and Diastolic Blood Pressure (DBP), and the risk of hypertension in a prospective 3-year longitudinal study in older adults at high cardiovascular risk. METHODS The present study was carried out within the PREDIMED (Prevención con Dieta Mediterránea) trial involving 7,056 (82.5% hypertensive) participants. The consumption of tomato (g/d) was measured using a validated Food Frequency Questionnaire (FFQ) and categorized into 4 groups: lowest (<44 g), intermediate (44-82 g), upper-intermediate (82 -110 g), and highest (>110 g). Multilevel linear mixed models examined blood pressure and tomato consumption association. Cox proportional-hazards models analyzed hypertension risk in 1,097 non-hypertensive participants, studying risk reductions versus the lowest tomato consumers. RESULTS An inverse association between tomato consumption and diastolic blood pressure was observed between the intermediate group β = -0.65 mmHg [95% CI:-1.20, -0.10] and the lowest consumption group. A significant inverse association was observed for blood pressure in grade 1 hypertension participants in the intermediate tomato consumption group. The risk of hypertension decreased with consumption of >110 g/d tomato (highest vs lowest consumption; HR, 0.64 [95% CI, 0.51-0.89]). CONCLUSIONS Tomato consumption, including tomato-based products, is beneficial in preventing and managing hypertension. Higher tomato intake reduces hypertension risk by 36%, and moderate consumption lowers blood pressure, especially in grade 1 hypertension.
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Affiliation(s)
- David Murcia-Lesmes
- Polyphenol Research Group. Departament de Nutrició, Ciències de l'Alimentació i Gastronomía, Facultat de Farmàcia i Ciències de l'Alimentació, Barcelona, Spain
- Institut de Nutrició i Seguretat Alimentària (INSA-UB), Universitat de Barcelona, Barcelona, Spain
| | - Inés Domínguez-López
- Polyphenol Research Group. Departament de Nutrició, Ciències de l'Alimentació i Gastronomía, Facultat de Farmàcia i Ciències de l'Alimentació, Barcelona, Spain
- Institut de Nutrició i Seguretat Alimentària (INSA-UB), Universitat de Barcelona, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
| | - Emily P Laveriano-Santos
- Polyphenol Research Group. Departament de Nutrició, Ciències de l'Alimentació i Gastronomía, Facultat de Farmàcia i Ciències de l'Alimentació, Barcelona, Spain
- Institut de Nutrició i Seguretat Alimentària (INSA-UB), Universitat de Barcelona, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
| | - Anna Tresserra-Rimbau
- Polyphenol Research Group. Departament de Nutrició, Ciències de l'Alimentació i Gastronomía, Facultat de Farmàcia i Ciències de l'Alimentació, Barcelona, Spain
- Institut de Nutrició i Seguretat Alimentària (INSA-UB), Universitat de Barcelona, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
| | - Sara Castro-Barquero
- Institut de Nutrició i Seguretat Alimentària (INSA-UB), Universitat de Barcelona, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- BCNatal. Hospital Clínic and Hospital Sant Joan de Déu, Universitat de Barcelona, Barcelona, Spain
| | - Ramón Estruch
- Institut de Nutrició i Seguretat Alimentària (INSA-UB), Universitat de Barcelona, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Department of Internal Medicine, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Zenaida Vazquez-Ruiz
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Department of Preventive Medicine and Public Health, IdiSNA, University of Navarra, Pamplona, Spain
| | - Miguel Ruiz-Canela
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Department of Preventive Medicine and Public Health, IdiSNA, University of Navarra, Pamplona, Spain
| | - Cristina Razquin
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Department of Preventive Medicine and Public Health, IdiSNA, University of Navarra, Pamplona, Spain
| | - Dolores Corella
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Jose V Sorli
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Jordi Salas-Salvadó
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Departament de Bioquímica i Biotecnologia, Unitat de Nutrició, Universitat Rovira i Virgili, Reus, Spain
- Nutrition Unit, Institut d'Investigació Sanitària Pere Virgili (IISPV), University Hospital of Sant Joan de Reus, Reus, Spain
| | - Karla-Alejandra Pérez-Vega
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d`Investigació Médica (IMIM), Barcelona, Spain
| | - Enrique Gómez-Gracia
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Department of Preventive Medicine, University of Malaga, Campus de Teatinos, Malaga, Spain
| | - José Lapetra
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Department of Family Medicine, Research Unit, Distrito Sanitario Atención Primaria, Sevilla, Spain
| | - Fernando Arós
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Department of Cardiology, University Hospital of Araba, Vitoria-Gasteiz, Araba, Spain
| | - Miquel Fiol
- Institute of Health Sciences, University of Balearic Islands and Son Espases Hospital, Palma de Mallorca, Spain
| | - Luis Serra-Majem
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Research Institute of Biomedical and Health Sciences, University of Las Palmas de Gran Canaria, Las Palmas, Spain
| | - Xavier Pinto
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Lipid and Vascular Risk Unit, Department of Internal Medicine, Bellvitge University Hospital, Hospitalet de Llobregat, FIPEC, Barcelona, Spain
| | - Emilio Ros
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Lipid Clinic, Endocrinology and Nutrition Service, IDIBAPS, Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Rosa M Lamuela-Raventós
- Polyphenol Research Group. Departament de Nutrició, Ciències de l'Alimentació i Gastronomía, Facultat de Farmàcia i Ciències de l'Alimentació, Barcelona, Spain
- Institut de Nutrició i Seguretat Alimentària (INSA-UB), Universitat de Barcelona, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
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10
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Muñoz-Bravo C, Olmedo P, Gil F, Ruiz-Canela M, Martínez-González MA, Martínez MÁ, Babio N, Fitó M, Del Val JL, Corella D, Sorlí JV, Ros E, Fiol M, Estruch R, Santos-Lozano JM, Arós F, Serra-Majem L, Pintó X, Gómez-Gracia E, Gutiérrez-Bedmar M. Association between serum copper levels and risk of cardiovascular disease: A nested case-control study in the PREDIMED trial. Nutr Metab Cardiovasc Dis 2023; 33:2199-2208. [PMID: 37580236 DOI: 10.1016/j.numecd.2023.07.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/18/2023] [Revised: 07/04/2023] [Accepted: 07/06/2023] [Indexed: 08/16/2023]
Abstract
BACKGROUND AND AIM Certain trace elements have been associated with increased cardiovascular risk. The aim of this study was to evaluate the association between serum copper (S-Cu) levels and the risk of a first event of cardiovascular disease (CVD) in a population of older adults with high cardiovascular risk. METHODS AND RESULTS We conducted a case-control study nested within the PREDIMED trial. During a median follow-up of 4.8 years, a total of 207 incident cases diagnosed with CVD were matched for sex, age, and intervention group with 436 controls. Personal interviews, reviews of medical records, and validated questionnaires were used to assess known CVD risk factors. Biological serum samples were collected annually. Inductively coupled plasma mass spectrometry analysis was used to determine S-Cu levels. Adjusted odds ratios were calculated using multivariate conditional logistic regression models. All participants had S-Cu levels within the reference values, 750 μg/L to 1450 μg/L. Among men, but not among women, the mean S-Cu concentration was higher in cases 1014.1 μg/L than in controls 959.3 μg/L; (p = 0.004). In men, the multivariable-adjusted odds ratio for CVD was 2.36 (95% CI 1.07-5.20 for the comparison of the highest vs. the lowest quartile; p for trend = 0.02), in women, it was 0.43 (95% CI 0.11-1.70; p for trend = 0.165). CONCLUSION In older Spanish men with high cardiovascular risk, a significant association was observed between high S-Cu levels, but still within the reference values, and an increased risk of a first event of CVD. Our findings suggest a sex difference in CVD risk and S-Cu levels. To confirm this relationship and to analyze the differences observed between men and women, further studies are needed.
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Affiliation(s)
- Carlos Muñoz-Bravo
- Department of Public Health and Psychiatry, School of Medicine, University of Málaga, Málaga, Spain; Biomedical Research Institute of Malaga (IBIMA), Spain.
| | - Pablo Olmedo
- Department of Legal Medicine, Toxicology, and Physical Anthropology, School of Medicine, University of Granada, Granada, Spain
| | - Fernando Gil
- Department of Legal Medicine, Toxicology, and Physical Anthropology, School of Medicine, University of Granada, Granada, Spain
| | - Miguel Ruiz-Canela
- Department of Preventive Medicine and Public Health, School of Medicine, University of Navarra, Pamplona, Spain; CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Miguel A Martínez-González
- Department of Preventive Medicine and Public Health, School of Medicine, University of Navarra, Pamplona, Spain; CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - María Ángeles Martínez
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Universitat Rovira i Virgili, Reus, Spain
| | - Nancy Babio
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Universitat Rovira i Virgili, Reus, Spain; Human Nutrition Unit, Institud d'Investigació Sanitaria Pere Virgili, Spain
| | - Montserrat Fitó
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Cardiovascular Risk and Nutrition Research Group. Hospital Del Mar Medical Research Institute (IMIM), Barcelona, Spain
| | - Jose L Del Val
- Unitat d'Avaluació, Sistemes d'Informació i Qualitat (BASIQ), Gerència Territorial Atenció Primària Barcelona Ciutat, Institut Català de la Salut, Barcelona, Spain; Fundació Institut Universitari per a la Recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain
| | - Dolores Corella
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Department of Preventive Medicine, Universidad de Valencia, Valencia, Spain
| | - José V Sorlí
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Department of Preventive Medicine, Universidad de Valencia, Valencia, Spain
| | - Emilio Ros
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Lipid Clinic, Endocrinology and Nutrition Service, Institut d'Investigations Biomèdiques August Pi I Sunyer (IDIBAPS), Hospital Clínic, Barcelona, Spain
| | - Miquel Fiol
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Health Research Institute of the Balearic Islands (IdISBa), Hospital Son Espases, Palma de Mallorca, Spain
| | - Ramón Estruch
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Department of Internal Medicine, IDIBAPS, Hospital Clínic, University of Barcelona, Barcelona, Spain
| | - José Manuel Santos-Lozano
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Department of Family Medicine, Research Unit, Distrito Sanitario Atención Primaria Sevilla, Sevilla, Spain
| | - Fernando Arós
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Department of Cardiology, Hospital Universitario de Álava, Vitoria, Spain
| | - Luis Serra-Majem
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Department of Clinical Sciences & Research Institute of Biomedical and Health Sciences, Universidad de Las Palmas de Gran Canaria, Las Palmas, Spain
| | - Xavier Pintó
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Lipid and Vascular Risk Unit, Internal Medicine Service, Hospital Universitario de Bellvitge, Hospitalet de Llobregat, Spain
| | - Enrique Gómez-Gracia
- Department of Public Health and Psychiatry, School of Medicine, University of Málaga, Málaga, Spain; Biomedical Research Institute of Malaga (IBIMA), Spain
| | - Mario Gutiérrez-Bedmar
- Department of Public Health and Psychiatry, School of Medicine, University of Málaga, Málaga, Spain; Biomedical Research Institute of Malaga (IBIMA), Spain; CIBERCV Cardiovascular Diseases, Instituto de Salud Carlos III (ISCIII), Madrid, Spain
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11
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Donat-Vargas C, Mico V, San-Cristobal R, Martínez-González MÁ, Salas-Salvadó J, Corella D, Fitó M, Alonso-Gómez ÁM, Wärnberg J, Vioque J, Romaguera D, López-Miranda J, Estruch R, Damas-Fuentes M, Lapetra J, Serra-Majem L, Bueno-Cavanillas A, Tur JA, Cinza-Sanjurjo S, Pintó X, Delgado-Rodríguez M, Matía-Martín P, Vidal J, Causso C, Ros E, Toledo E, Manzanares JM, Ortega-Azorín C, Castañer O, Peña-Orihuela PJ, Zazo JM, Muñoz Bravo C, Martinez-Urbistondo D, Chaplin A, Casas R, Cano Ibáñez N, Tojal-Sierra L, Gómez-Perez AM, Pascual Roquet-Jalmar E, Mestre C, Barragán R, Schröder H, Garcia-Rios A, Candela García I, Ruiz-Canela M, Babio N, Malcampo M, Daimiel L, Martínez A. Dietary Iron, Anemia Markers, Cognition, and Quality of Life in Older Community-Dwelling Subjects at High Cardiovascular Risk. Nutrients 2023; 15:4440. [PMID: 37892515 PMCID: PMC10610130 DOI: 10.3390/nu15204440] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Revised: 10/05/2023] [Accepted: 10/10/2023] [Indexed: 10/29/2023] Open
Abstract
Anemia causes hypo-oxygenation in the brain, which could lead to cognitive disorders. We examined dietary iron intake as well as anemia markers (i.e., hemoglobin, hematocrit, mean corpuscular volume) and diabetes coexistence in relation to neuropsychological function and quality of life. In this study, 6117 community-dwelling adults aged 55-75 years (men) and 60-75 years (women) with overweight/obesity and metabolic syndrome were involved. We performed the Mini-Mental State Examination (MMSE), the Trail Making Test parts A and B (TMT-A/B), Semantic Verbal Fluency of animals (VFT-a), Phonological Verbal Fluency of letter P (VFT-p), Digit Span Test (DST), the Clock Drawing Test (CDT), and the Short Form-36 Health Survey (SF36-HRQL test). Dietary iron intake did not influence neuropsychological function or quality of life. However, anemia and lower levels of anemia markers were associated with worse scores in all neurophysiological and SF36-HRQL tests overall, but were especially clear in the MMSE, TMT-B (cognitive flexibility), and the physical component of the SF36-HRQL test. The relationships between anemia and diminished performance in the TMT-A/B and VFT tasks were notably pronounced and statistically significant solely among participants with diabetes. In brief, anemia and reduced levels of anemia markers were linked to inferior cognitive function, worse scores in different domains of executive function, as well as a poorer physical, but not mental, component of quality of life. It was also suggested that the coexistence of diabetes in anemic patients may exacerbate this negative impact on cognition. Nevertheless, dietary iron intake showed no correlation with any of the outcomes. To make conclusive recommendations for clinical practice, our findings need to be thoroughly tested through methodologically rigorous studies that minimize the risk of reverse causality.
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Affiliation(s)
- Carolina Donat-Vargas
- ISGlobal, Campus Mar, 08036 Barcelona, Spain
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, 28029 Madrid, Spain; (J.V.); (A.B.-C.); (N.C.I.); (H.S.)
| | - Víctor Mico
- Cardiometabolic Nutrition Group, IMDEA Food, CEI UAM + CSIC, 28049 Madrid, Spain; (V.M.); (R.S.-C.); (M.D.-R.)
| | - Rodrigo San-Cristobal
- Cardiometabolic Nutrition Group, IMDEA Food, CEI UAM + CSIC, 28049 Madrid, Spain; (V.M.); (R.S.-C.); (M.D.-R.)
| | - Miguel Ángel Martínez-González
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (D.C.); (M.F.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (M.D.-F.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (E.R.); (E.T.); (C.O.-A.); (P.J.P.-O.); (A.C.); (R.C.); (L.T.-S.); (A.M.G.-P.); (C.M.); (R.B.); (A.G.-R.); (M.R.-C.); (N.B.)
- Department of Preventive Medicine and Public Health, University of Navarra, IDISNA, 31008 Pamplona, Spain
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA 02115, USA
| | - Jordi Salas-Salvadó
- Unitat de Nutrició Humana, Departament de Bioquímica i Biotecnologia, Universitat Rovira i Virgili, 43201 Reus, Spain; (J.S.-S.); (J.M.M.)
- Food, Nutrition, Development and Mental Health Research Group, Institut d’Investigació Pere Virgili (IISPV), 43204 Reus, Spain
- Department of Preventive Medicine, University of Valencia, 46010 Valencia, Spain
| | - Dolores Corella
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (D.C.); (M.F.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (M.D.-F.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (E.R.); (E.T.); (C.O.-A.); (P.J.P.-O.); (A.C.); (R.C.); (L.T.-S.); (A.M.G.-P.); (C.M.); (R.B.); (A.G.-R.); (M.R.-C.); (N.B.)
- Department of Preventive Medicine, University of Valencia, 46010 Valencia, Spain
| | - Montserrat Fitó
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (D.C.); (M.F.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (M.D.-F.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (E.R.); (E.T.); (C.O.-A.); (P.J.P.-O.); (A.C.); (R.C.); (L.T.-S.); (A.M.G.-P.); (C.M.); (R.B.); (A.G.-R.); (M.R.-C.); (N.B.)
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d’Investigació Médica (IMIM), 08003 Barcelona, Spain; (O.C.); (M.M.)
| | - Ángel Maria Alonso-Gómez
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (D.C.); (M.F.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (M.D.-F.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (E.R.); (E.T.); (C.O.-A.); (P.J.P.-O.); (A.C.); (R.C.); (L.T.-S.); (A.M.G.-P.); (C.M.); (R.B.); (A.G.-R.); (M.R.-C.); (N.B.)
- Bioaraba Health Research Institute, Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country UPV/EHU, 01009 Vitoria-Gasteiz, Spain
| | - Julia Wärnberg
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (D.C.); (M.F.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (M.D.-F.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (E.R.); (E.T.); (C.O.-A.); (P.J.P.-O.); (A.C.); (R.C.); (L.T.-S.); (A.M.G.-P.); (C.M.); (R.B.); (A.G.-R.); (M.R.-C.); (N.B.)
- EpiPHAAN Research Group, Department of Nursing, School of Health Sciences, University of Málaga-IBIMA (Instituto de Investigación Biomédica de Málaga), 29071 Málaga, Spain
| | - Jesús Vioque
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, 28029 Madrid, Spain; (J.V.); (A.B.-C.); (N.C.I.); (H.S.)
- Instituto de Investigación Sanitaria y Biomédica de Alicante, Universidad Miguel Hernández (ISABIAL-UMH), 03010 Alicante, Spain
| | - Dora Romaguera
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (D.C.); (M.F.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (M.D.-F.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (E.R.); (E.T.); (C.O.-A.); (P.J.P.-O.); (A.C.); (R.C.); (L.T.-S.); (A.M.G.-P.); (C.M.); (R.B.); (A.G.-R.); (M.R.-C.); (N.B.)
- Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain
| | - José López-Miranda
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (D.C.); (M.F.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (M.D.-F.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (E.R.); (E.T.); (C.O.-A.); (P.J.P.-O.); (A.C.); (R.C.); (L.T.-S.); (A.M.G.-P.); (C.M.); (R.B.); (A.G.-R.); (M.R.-C.); (N.B.)
- Lipids and Atherosclerosis Unit, Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, 14004 Córdoba, Spain
| | - Ramon Estruch
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (D.C.); (M.F.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (M.D.-F.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (E.R.); (E.T.); (C.O.-A.); (P.J.P.-O.); (A.C.); (R.C.); (L.T.-S.); (A.M.G.-P.); (C.M.); (R.B.); (A.G.-R.); (M.R.-C.); (N.B.)
- Department of Internal Medicine, Institut d’Investigació Biomèdica August Pi I Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, 08036 Barcelona, Spain
| | - Miguel Damas-Fuentes
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (D.C.); (M.F.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (M.D.-F.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (E.R.); (E.T.); (C.O.-A.); (P.J.P.-O.); (A.C.); (R.C.); (L.T.-S.); (A.M.G.-P.); (C.M.); (R.B.); (A.G.-R.); (M.R.-C.); (N.B.)
- Department of Endocrinology, Instituto de Investigación Biomédica de Málaga (IBIMA), Virgen de la Victoria Hospital, University of Málaga, 29016 Málaga, Spain
| | - José Lapetra
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (D.C.); (M.F.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (M.D.-F.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (E.R.); (E.T.); (C.O.-A.); (P.J.P.-O.); (A.C.); (R.C.); (L.T.-S.); (A.M.G.-P.); (C.M.); (R.B.); (A.G.-R.); (M.R.-C.); (N.B.)
- Department of Family Medicine, Research Unit, Distrito Sanitario Atención Primaria Sevilla, 41013 Sevilla, Spain
| | - Luís Serra-Majem
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (D.C.); (M.F.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (M.D.-F.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (E.R.); (E.T.); (C.O.-A.); (P.J.P.-O.); (A.C.); (R.C.); (L.T.-S.); (A.M.G.-P.); (C.M.); (R.B.); (A.G.-R.); (M.R.-C.); (N.B.)
- Research Institute of Biomedical and Health Sciences (IUIBS), University of Las Palmas de Gran Canaria, Preventive Medicine Service, Centro Hospitalario Universitario Insular Materno Infantil (CHUIMI), Canarian Health Service, 35016 Las Palmas, Spain
| | - Aurora Bueno-Cavanillas
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, 28029 Madrid, Spain; (J.V.); (A.B.-C.); (N.C.I.); (H.S.)
- Department of Preventive Medicine and Public Health, University of Granada, 18016 Granada, Spain
| | - Josep Antoni Tur
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (D.C.); (M.F.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (M.D.-F.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (E.R.); (E.T.); (C.O.-A.); (P.J.P.-O.); (A.C.); (R.C.); (L.T.-S.); (A.M.G.-P.); (C.M.); (R.B.); (A.G.-R.); (M.R.-C.); (N.B.)
- Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain
- Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands, 07122 Palma de Mallorca, Spain
| | - Sergio Cinza-Sanjurjo
- CS Milladoiro, Área Sanitaria de Santiago de Compostela, 15706 Santiago de Compostela, Spain;
- Instituto de Investigación de Santiago de Compostela (IDIS), 15706 Santiago de Compostela, Spain
- Departamento de Medicina, Universidad de Santiago de Compostela, 15701 Santiago de Compostela, Spain
| | - Xavier Pintó
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (D.C.); (M.F.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (M.D.-F.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (E.R.); (E.T.); (C.O.-A.); (P.J.P.-O.); (A.C.); (R.C.); (L.T.-S.); (A.M.G.-P.); (C.M.); (R.B.); (A.G.-R.); (M.R.-C.); (N.B.)
- Lipids and Vascular Risk Unit, Internal Medicine, Hospital Universitario de Bellvitge, Hospitalet de Llobregat, 08907 Barcelona, Spain
| | - Miguel Delgado-Rodríguez
- Cardiometabolic Nutrition Group, IMDEA Food, CEI UAM + CSIC, 28049 Madrid, Spain; (V.M.); (R.S.-C.); (M.D.-R.)
- Division of Preventive Medicine, Faculty of Medicine, University of Jaén, 23071 Jaén, Spain
| | - Pilar Matía-Martín
- Department of Endocrinology and Nutrition, Instituto de Investigación Sanitaria Hospital Clínico San Carlos (IdISSC), 28040 Madrid, Spain;
| | - Josep Vidal
- Department of Endocrinology, IDIBAPS, Hospital Clinic, University of Barcelona, 08036 Barcelona, Spain;
- Biomedical Research Centre for Diabetes and Metabolic Diseases Network (CIBERDEM), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
| | - Claudia Causso
- Servicio de Endocrinologia Hospital General de Villalba, 28400 Madrid, Spain;
| | - Emilio Ros
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (D.C.); (M.F.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (M.D.-F.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (E.R.); (E.T.); (C.O.-A.); (P.J.P.-O.); (A.C.); (R.C.); (L.T.-S.); (A.M.G.-P.); (C.M.); (R.B.); (A.G.-R.); (M.R.-C.); (N.B.)
- Lipid Clinic, Department of Endocrinology and Nutrition, Institut d’Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clínic, 08036 Barcelona, Spain
| | - Estefanía Toledo
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (D.C.); (M.F.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (M.D.-F.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (E.R.); (E.T.); (C.O.-A.); (P.J.P.-O.); (A.C.); (R.C.); (L.T.-S.); (A.M.G.-P.); (C.M.); (R.B.); (A.G.-R.); (M.R.-C.); (N.B.)
- Department of Preventive Medicine and Public Health, University of Navarra, IDISNA, 31008 Pamplona, Spain
| | - Josep Maria Manzanares
- Unitat de Nutrició Humana, Departament de Bioquímica i Biotecnologia, Universitat Rovira i Virgili, 43201 Reus, Spain; (J.S.-S.); (J.M.M.)
| | - Carolina Ortega-Azorín
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (D.C.); (M.F.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (M.D.-F.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (E.R.); (E.T.); (C.O.-A.); (P.J.P.-O.); (A.C.); (R.C.); (L.T.-S.); (A.M.G.-P.); (C.M.); (R.B.); (A.G.-R.); (M.R.-C.); (N.B.)
- Department of Preventive Medicine, University of Valencia, 46010 Valencia, Spain
| | - Olga Castañer
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d’Investigació Médica (IMIM), 08003 Barcelona, Spain; (O.C.); (M.M.)
| | - Patricia Judith Peña-Orihuela
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (D.C.); (M.F.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (M.D.-F.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (E.R.); (E.T.); (C.O.-A.); (P.J.P.-O.); (A.C.); (R.C.); (L.T.-S.); (A.M.G.-P.); (C.M.); (R.B.); (A.G.-R.); (M.R.-C.); (N.B.)
- Lipids and Atherosclerosis Unit, Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, 14004 Córdoba, Spain
| | - Juan Manuel Zazo
- Department of Preventive Medicine and Public Health, School of Medicine, Instituto de Investigación Biomédica de Málaga, University of Málaga, 29590 Málaga, Spain;
| | - Carlos Muñoz Bravo
- Department of Public Health and Psychiatry, University of Malaga-IBIMA (Instituto de Investigación Biomédica de Málaga), 29071 Málaga, Spain
| | | | - Alice Chaplin
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (D.C.); (M.F.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (M.D.-F.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (E.R.); (E.T.); (C.O.-A.); (P.J.P.-O.); (A.C.); (R.C.); (L.T.-S.); (A.M.G.-P.); (C.M.); (R.B.); (A.G.-R.); (M.R.-C.); (N.B.)
- Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain
| | - Rosa Casas
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (D.C.); (M.F.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (M.D.-F.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (E.R.); (E.T.); (C.O.-A.); (P.J.P.-O.); (A.C.); (R.C.); (L.T.-S.); (A.M.G.-P.); (C.M.); (R.B.); (A.G.-R.); (M.R.-C.); (N.B.)
- Department of Internal Medicine, Institut d’Investigació Biomèdica August Pi I Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, 08036 Barcelona, Spain
| | - Naomi Cano Ibáñez
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, 28029 Madrid, Spain; (J.V.); (A.B.-C.); (N.C.I.); (H.S.)
- Department of Preventive Medicine and Public Health, University of Granada, 18016 Granada, Spain
- Instituto de Investigación Biosanitaria ibs.Granada, 18012 Granada, Spain
| | - Lucas Tojal-Sierra
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (D.C.); (M.F.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (M.D.-F.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (E.R.); (E.T.); (C.O.-A.); (P.J.P.-O.); (A.C.); (R.C.); (L.T.-S.); (A.M.G.-P.); (C.M.); (R.B.); (A.G.-R.); (M.R.-C.); (N.B.)
- Bioaraba Health Research Institute, Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country UPV/EHU, 01009 Vitoria-Gasteiz, Spain
| | - Ana María Gómez-Perez
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (D.C.); (M.F.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (M.D.-F.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (E.R.); (E.T.); (C.O.-A.); (P.J.P.-O.); (A.C.); (R.C.); (L.T.-S.); (A.M.G.-P.); (C.M.); (R.B.); (A.G.-R.); (M.R.-C.); (N.B.)
- Department of Endocrinology, Instituto de Investigación Biomédica de Málaga (IBIMA), Virgen de la Victoria Hospital, University of Málaga, 29016 Málaga, Spain
| | | | - Cristina Mestre
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (D.C.); (M.F.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (M.D.-F.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (E.R.); (E.T.); (C.O.-A.); (P.J.P.-O.); (A.C.); (R.C.); (L.T.-S.); (A.M.G.-P.); (C.M.); (R.B.); (A.G.-R.); (M.R.-C.); (N.B.)
- Unitat de Nutrició Humana, Departament de Bioquímica i Biotecnologia, Universitat Rovira i Virgili, 43201 Reus, Spain; (J.S.-S.); (J.M.M.)
- Food, Nutrition, Development and Mental Health Research Group, Institut d’Investigació Pere Virgili (IISPV), 43204 Reus, Spain
| | - Rocío Barragán
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (D.C.); (M.F.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (M.D.-F.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (E.R.); (E.T.); (C.O.-A.); (P.J.P.-O.); (A.C.); (R.C.); (L.T.-S.); (A.M.G.-P.); (C.M.); (R.B.); (A.G.-R.); (M.R.-C.); (N.B.)
- Department of Preventive Medicine, University of Valencia, 46010 Valencia, Spain
| | - Helmut Schröder
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, 28029 Madrid, Spain; (J.V.); (A.B.-C.); (N.C.I.); (H.S.)
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d’Investigació Médica (IMIM), 08003 Barcelona, Spain; (O.C.); (M.M.)
| | - Antonio Garcia-Rios
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (D.C.); (M.F.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (M.D.-F.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (E.R.); (E.T.); (C.O.-A.); (P.J.P.-O.); (A.C.); (R.C.); (L.T.-S.); (A.M.G.-P.); (C.M.); (R.B.); (A.G.-R.); (M.R.-C.); (N.B.)
- Lipids and Atherosclerosis Unit, Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, 14004 Córdoba, Spain
| | | | - Miguel Ruiz-Canela
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (D.C.); (M.F.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (M.D.-F.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (E.R.); (E.T.); (C.O.-A.); (P.J.P.-O.); (A.C.); (R.C.); (L.T.-S.); (A.M.G.-P.); (C.M.); (R.B.); (A.G.-R.); (M.R.-C.); (N.B.)
- Department of Preventive Medicine and Public Health, University of Navarra, IDISNA, 31008 Pamplona, Spain
| | - Nancy Babio
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (D.C.); (M.F.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (M.D.-F.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (E.R.); (E.T.); (C.O.-A.); (P.J.P.-O.); (A.C.); (R.C.); (L.T.-S.); (A.M.G.-P.); (C.M.); (R.B.); (A.G.-R.); (M.R.-C.); (N.B.)
- Unitat de Nutrició Humana, Departament de Bioquímica i Biotecnologia, Universitat Rovira i Virgili, 43201 Reus, Spain; (J.S.-S.); (J.M.M.)
- Food, Nutrition, Development and Mental Health Research Group, Institut d’Investigació Pere Virgili (IISPV), 43204 Reus, Spain
| | - Mireia Malcampo
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d’Investigació Médica (IMIM), 08003 Barcelona, Spain; (O.C.); (M.M.)
| | - Lidia Daimiel
- Nutritional Control of the Epigenome Group, Precision Nutrition and Obesity Program, IMDEA Food, CEI UAM + CSIC, 28049 Madrid, Spain;
| | - Alfredo Martínez
- Cardiometabolic Nutrition Group, IMDEA Food, CEI UAM + CSIC, 28049 Madrid, Spain; (V.M.); (R.S.-C.); (M.D.-R.)
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (D.C.); (M.F.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (M.D.-F.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (E.R.); (E.T.); (C.O.-A.); (P.J.P.-O.); (A.C.); (R.C.); (L.T.-S.); (A.M.G.-P.); (C.M.); (R.B.); (A.G.-R.); (M.R.-C.); (N.B.)
- Department of Nutrition, Food Sciences and Physiology, University of Navarra, 31008 Pamplona, Spain
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Liu X, Etxeberria U, Ruiz-Canela M. Editorial: Nutrition and neurodegenerative diseases: insights and perspectives on prevention strategies. Front Nutr 2023; 10:1272338. [PMID: 37899830 PMCID: PMC10602772 DOI: 10.3389/fnut.2023.1272338] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Accepted: 09/27/2023] [Indexed: 10/31/2023] Open
Affiliation(s)
- Xiaoran Liu
- Department of Internal Medicine, Rush University Medical Center, Chicago, IL, United States
- Rush Institute for Healthy Aging, Chicago, IL, United States
| | - Usune Etxeberria
- Basque Culinary Center, Faculty of Gastronomic Sciences, Mondragon Unibertsitatea, Donostia-San Sebastián, Spain
- BCC Innovation, Technology Center in Gastronomy, Basque Culinary Center, Donostia-San Sebastián, Spain
| | - Miguel Ruiz-Canela
- Department of Preventive Medicine and Public Health, University of Navarra, IdiSNA, Pamplona, Spain
- Consorcio Centro de Investigaciones Biomédicas en Red (CIBERObn), Institute of Health Carlos III (ISCIII), Madrid, Spain
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Konieczna J, Ruiz-Canela M, Galmes-Panades AM, Abete I, Babio N, Fiol M, Martín-Sánchez V, Estruch R, Vidal J, Buil-Cosiales P, García-Gavilán JF, Moñino M, Marcos-Delgado A, Casas R, Olbeyra R, Fitó M, Hu FB, Martínez-Gonzalez MÁ, Martínez JA, Romaguera D, Salas-Salvadó J. An Energy-Reduced Mediterranean Diet, Physical Activity, and Body Composition: An Interim Subgroup Analysis of the PREDIMED-Plus Randomized Clinical Trial. JAMA Netw Open 2023; 6:e2337994. [PMID: 37851444 PMCID: PMC10585413 DOI: 10.1001/jamanetworkopen.2023.37994] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/06/2023] [Accepted: 09/01/2023] [Indexed: 10/19/2023] Open
Abstract
Importance Strategies targeting body composition may help prevent chronic diseases in persons with excess weight, but randomized clinical trials evaluating lifestyle interventions have rarely reported effects on directly quantified body composition. Objective To evaluate the effects of a lifestyle weight-loss intervention on changes in overall and regional body composition. Design, Setting, and Participants The ongoing Prevención con Dieta Mediterránea-Plus (PREDIMED-Plus) randomized clinical trial is designed to test the effect of the intervention on cardiovascular disease prevention after 8 years of follow-up. The trial is being conducted in 23 Spanish research centers and includes men and women (age 55-75 years) with body mass index between 27 and 40 and metabolic syndrome. The trial reported herein is an interim subgroup analysis of the intermediate outcome body composition after 3-year follow-up, and data analysis was conducted from February 1 to November 30, 2022. Of 6874 total PREDIMED-Plus participants, a subsample of 1521 individuals, coming from centers with access to a dual energy x-ray absorptiometry device, underwent body composition measurements at 3 time points. Intervention Participants were randomly allocated to a multifactorial intervention based on an energy-reduced Mediterranean diet (MedDiet) and increased physical activity (PA) or to a control group based on usual care, with advice to follow an ad libitum MedDiet, but no physical activity promotion. Main Outcomes and Measures The outcomes (continuous) were 3-year changes in total fat and lean mass (expressed as percentages of body mass) and visceral fat (in grams), tested using multivariable linear mixed-effects models. Clinical relevance of changes in body components (dichotomous) was assessed based on 5% or more improvements in baseline values, using logistic regression. Main analyses were performed in the evaluable population (completers only) and in sensitivity analyses, multiple imputation was performed to include data of participants lost to follow-up (intention-to-treat analyses). Results A total of 1521 individuals were included (mean [SD] age, 65.3 [5.0] years; 52.1% men). In comparison with the control group (n=761), participants in the intervention arm (n=760) showed greater reductions in the percentage of total fat (between group differences after 1-year, -0.94% [95% CI, -1.19 to -0.69]; 3 years, -0.38% [95% CI, -0.64 to -0.12] and visceral fat storage after 1 year, -126 g [95% CI, -179 to -73.3 g]; 3 years, -70.4 g [95% CI, -126 to -15.2 g] and greater increases in the percentage of total lean mass at 1 year, 0.88% [95% CI, 0.63%-1.12%]; 3-years 0.34% [95% CI, 0.09%-0.60%]). The intervention group was more likely to show improvements of 5% or more in baseline body components (absolute risk reduction after 1 year, 13% for total fat mass, 11% for total lean mass, and 14% for visceral fat mass; after 3-years: 6% for total fat mass, 6% for total lean mass, and 8% for visceral fat mass). The number of participants needed to treat was between 12 and 17 to attain at least 1 individual with possibly clinically meaningful improvements in body composition. Conclusions and Relevance The findings of this trial suggest a weight-loss lifestyle intervention based on an energy-reduced MedDiet and physical activity significantly reduced total and visceral fat and attenuated age-related losses of lean mass in older adults with overweight or obesity and metabolic syndrome. Continued follow-up is warranted to confirm the long-term consequences of these changes on cardiovascular clinical end points. Trial Registration isrctn.org Identifier: ISRCTN89898870.
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Affiliation(s)
- Jadwiga Konieczna
- Research Group on Nutritional Epidemiology & Cardiovascular Physiopathology, Health Research Institute of the Balearic Islands, University Hospital Son Espases, Palma de Mallorca, Spain
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición, Institute of Health Carlos III, Madrid, Spain
| | - Miguel Ruiz-Canela
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición, Institute of Health Carlos III, Madrid, Spain
- Department of Preventive Medicine and Public Health, IDISNA, University of Navarra, Pamplona, Spain
| | - Aina M. Galmes-Panades
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición, Institute of Health Carlos III, Madrid, Spain
- Global Health Research Group, Health Research Institute of the Balearic Islands, University of the Balearic Islands, Palma de Mallorca, Spain
| | - Itziar Abete
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición, Institute of Health Carlos III, Madrid, Spain
- Department of Nutrition, Food Sciences, and Physiology, University of Navarra, Pamplona, Spain
| | - Nancy Babio
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición, Institute of Health Carlos III, Madrid, Spain
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Alimentaciò, Nutrició Desenvolupament i Salut Mental ANUT-DSM, Reus, Spain
- Institut d’Investigació Pere Virgili, Reus, Spain
| | - Miquel Fiol
- Research Group on Nutritional Epidemiology & Cardiovascular Physiopathology, Health Research Institute of the Balearic Islands, University Hospital Son Espases, Palma de Mallorca, Spain
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición, Institute of Health Carlos III, Madrid, Spain
| | - Vicente Martín-Sánchez
- CIBER de Epidemiología y Salud Pública, Instituto de Salud Carlos III, Madrid, Spain
- Institute of Biomedicine, University of León, León, Spain
| | - Ramón Estruch
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición, Institute of Health Carlos III, Madrid, Spain
- Department of Internal Medicine, IDIBAPS, Hospital Clinic, University of Barcelona, Barcelona, Spain
- Institut de Recerca en Nutrició i Seguretat Alimentaria, University of Barcelona, Barcelona, Spain
| | - Josep Vidal
- CIBER Diabetes y Enfermedades Metabólicas, Instituto de Salud Carlos III, Madrid, Spain
- Department of Endocrinology, Institut d’Investigacions Biomédiques August Pi Sunyer, Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Pilar Buil-Cosiales
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición, Institute of Health Carlos III, Madrid, Spain
- Department of Preventive Medicine and Public Health, IDISNA, University of Navarra, Pamplona, Spain
- Primary Care Services, Navarra Regional Health Service, Pamplona, Spain
| | - Jesús F. García-Gavilán
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición, Institute of Health Carlos III, Madrid, Spain
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Alimentaciò, Nutrició Desenvolupament i Salut Mental ANUT-DSM, Reus, Spain
- Institut d’Investigació Pere Virgili, Reus, Spain
| | - Manuel Moñino
- Research Group on Nutritional Epidemiology & Cardiovascular Physiopathology, Health Research Institute of the Balearic Islands, University Hospital Son Espases, Palma de Mallorca, Spain
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición, Institute of Health Carlos III, Madrid, Spain
| | | | - Rosa Casas
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición, Institute of Health Carlos III, Madrid, Spain
- Department of Internal Medicine, IDIBAPS, Hospital Clinic, University of Barcelona, Barcelona, Spain
- Institut de Recerca en Nutrició i Seguretat Alimentaria, University of Barcelona, Barcelona, Spain
| | - Romina Olbeyra
- Department of Endocrinology, Institut d’Investigacions Biomédiques August Pi Sunyer, Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Montserrat Fitó
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición, Institute of Health Carlos III, Madrid, Spain
- Cardiovascular Risk and Nutrition Research Group, Hospital del Mar Medical Research Institute, Barcelona, Spain
| | - Frank B. Hu
- Channing Division of Network Medicine, Department of Medicine, Brigham & Women’s Hospital and Harvard Medical School, Boston, Massachusetts
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
| | - Miguel Ángel Martínez-Gonzalez
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición, Institute of Health Carlos III, Madrid, Spain
- Department of Preventive Medicine and Public Health, IDISNA, University of Navarra, Pamplona, Spain
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
| | - J. Alfredo Martínez
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición, Institute of Health Carlos III, Madrid, Spain
- Department of Nutrition, Food Sciences, and Physiology, University of Navarra, Pamplona, Spain
- Precision Nutrition and Cardiometabolic Health Program, IMDEA Food, CEI UAM + CSIC, Madrid, Spain
| | - Dora Romaguera
- Research Group on Nutritional Epidemiology & Cardiovascular Physiopathology, Health Research Institute of the Balearic Islands, University Hospital Son Espases, Palma de Mallorca, Spain
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición, Institute of Health Carlos III, Madrid, Spain
| | - Jordi Salas-Salvadó
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición, Institute of Health Carlos III, Madrid, Spain
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Alimentaciò, Nutrició Desenvolupament i Salut Mental ANUT-DSM, Reus, Spain
- Institut d’Investigació Pere Virgili, Reus, Spain
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14
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Henn M, Ruiz-Canela M. Reply to the letter to the editor (YCLNU-D-23-00494). Clin Nutr 2023; 42:2093-2094. [PMID: 37331828 DOI: 10.1016/j.clnu.2023.06.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2023] [Accepted: 06/01/2023] [Indexed: 06/20/2023]
Affiliation(s)
- Matthias Henn
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA; University of Navarra- IdiSNA (Instituto de Investigación Sanitaria de Navarra), Department of Preventive Medicine and Public Health, Pamplona, Spain
| | - Miguel Ruiz-Canela
- University of Navarra- IdiSNA (Instituto de Investigación Sanitaria de Navarra), Department of Preventive Medicine and Public Health, Pamplona, Spain; CIBER Fisiopatología de La Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain.
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15
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Martínez-González MA, Montero P, Ruiz-Canela M, Toledo E, Estruch R, Gómez-Gracia E, Li J, Ros E, Arós F, Hernáez A, Corella D, Fiol M, Lapetra J, Serra-Majem L, Pintó X, Cofán M, Sorlí JV, Babio N, Márquez-Sandoval YF, Castañer O, Salas-Salvadó J. Yearly attained adherence to Mediterranean diet and incidence of diabetes in a large randomized trial. Cardiovasc Diabetol 2023; 22:262. [PMID: 37775736 PMCID: PMC10542699 DOI: 10.1186/s12933-023-01994-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/24/2023] [Accepted: 09/15/2023] [Indexed: 10/01/2023] Open
Abstract
BACKGROUND Several large observational prospective studies have reported a protection by the traditional Mediterranean diet against type 2 diabetes, but none of them used yearly repeated measures of dietary intake. Repeated measurements of dietary intake are able to improve subject classification and to increase the quality of the assessed relationships in nutritional epidemiology. Beyond observational studies, randomized trials provide stronger causal evidence. In the context of a randomized trial of primary cardiovascular prevention, we assessed type 2 diabetes incidence according to yearly repeated measures of compliance with a nutritional intervention based on the traditional Mediterranean diet. METHODS PREDIMED (''PREvención con DIeta MEDiterránea'') was a Spanish trial including 7447 men and women at high cardiovascular risk. We assessed 3541 participants initially free of diabetes and originally randomized to 1 of 3 diets: low-fat diet (n = 1147, control group), Mediterranean diet supplemented with extra virgin olive (n = 1154) or Mediterranean diet supplemented with mixed nuts (n = 1240). As exposure we used actual adherence to Mediterranean diet (cumulative average), yearly assessed with the Mediterranean Diet Adherence Screener (scoring 0 to 14 points), and repeated up to 8 times (baseline and 7 consecutive follow-up years). This score was categorized into four groups: < 8, 8-< 10, 10- < 12, and 12-14 points. The outcome was new-onset type 2 diabetes. RESULTS Multivariable-adjusted hazard ratios from time-varying Cox models were 0.80 (95% confidence interval, 0.70-0.92) per + 2 points in Mediterranean Diet Adherence Screener (linear trend p = .001), and 0.46 (0.25-0.83) for the highest (12-14 points) versus the lowest (< 8) adherence. This inverse association was maintained after additionally adjusting for the randomized arm. Age- and sex-adjusted analysis of a validated plasma metabolomic signature of the Mediterranean Diet Adherence Screener (constituted of 67 metabolites) in a subset of 889 participants also supported these results. CONCLUSIONS Dietary intervention trials should quantify actual dietary adherence throughout the trial period to enhance the benefits and to assist results interpretation. A rapid dietary assessment tool, yearly repeated as a screener, was able to capture a strong inverse linear relationship between Mediterranean diet and type 2 diabetes. Trial registration ISRCTN35739639.
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Affiliation(s)
- Miguel A Martínez-González
- Instituto de Salud Carlos III, Centro de Investigacion Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBERObn), Madrid, Spain.
- IdiSNA (Instituto de Investigación Sanitaria de Navarra), Pamplona, Spain.
- Department of Preventive Medicine and Public Health, University of Navarra, Pamplona, Spain.
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
| | - Pedro Montero
- Department of Preventive Medicine and Public Health, University of Navarra, Pamplona, Spain
| | - Miguel Ruiz-Canela
- Instituto de Salud Carlos III, Centro de Investigacion Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBERObn), Madrid, Spain
- IdiSNA (Instituto de Investigación Sanitaria de Navarra), Pamplona, Spain
- Department of Preventive Medicine and Public Health, University of Navarra, Pamplona, Spain
| | - Estefanía Toledo
- Instituto de Salud Carlos III, Centro de Investigacion Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBERObn), Madrid, Spain
- IdiSNA (Instituto de Investigación Sanitaria de Navarra), Pamplona, Spain
- Department of Preventive Medicine and Public Health, University of Navarra, Pamplona, Spain
| | - Ramón Estruch
- Instituto de Salud Carlos III, Centro de Investigacion Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBERObn), Madrid, Spain
- Department of Internal Medicine, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Enrique Gómez-Gracia
- Department of Preventive Medicine, University of Malaga, Instituto de Investigación Biomédica de Málaga (IBIMA), Málaga, Spain
| | - Jun Li
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Division of Preventive Medicine, Deparment of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Emilio Ros
- Instituto de Salud Carlos III, Centro de Investigacion Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBERObn), Madrid, Spain
- Lipid Clinic, Department of Endocrinology and Nutrition, August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Hospital Clinic,, University of Barcelona, Barcelona, Spain
| | - Fernando Arós
- Instituto de Salud Carlos III, Centro de Investigacion Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBERObn), Madrid, Spain
- Osakidetza Basque Health Service, Bioaraba Health Research Institute, Araba University Hospital, University of the Basque Country (UPV/EHU), Vitoria-Gasteiz, Spain
| | - Alvaro Hernáez
- Instituto de Salud Carlos III, Centro de Investigacion Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBERObn), Madrid, Spain
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar d'Investigacions Mèdiques (IMIM), Barcelona, Spain
- Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway
- Blanquerna School of Health Sciences, Universitat Ramon Llull, Barcelona, Spain
| | - Dolores Corella
- Instituto de Salud Carlos III, Centro de Investigacion Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBERObn), Madrid, Spain
- Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Miquel Fiol
- Instituto de Salud Carlos III, Centro de Investigacion Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBERObn), Madrid, Spain
- Platform for Clinical Trials, Instituto de Investigación Sanitaria Illes Balears (IdISBa), Hospital Universitario Son Espases, Palma de Mallorca, Spain
| | - José Lapetra
- Instituto de Salud Carlos III, Centro de Investigacion Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBERObn), Madrid, Spain
- Research Unit, Department of Family Medicine, Distrito Sanitario Atención Primaria Sevilla, Sevilla, Spain
| | - Lluis Serra-Majem
- Instituto de Salud Carlos III, Centro de Investigacion Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBERObn), Madrid, Spain
- Nutrition Research Group, Research Institute of Biomedical and Health Sciences (IUIBS), University of Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain
| | - Xavier Pintó
- Instituto de Salud Carlos III, Centro de Investigacion Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBERObn), Madrid, Spain
- Lipids and Vascular Risk Unit, Internal Medicine, Hospital Universitario de Bellvitge, Hospitalet de Llobregat, Barcelona, Spain
| | - Montse Cofán
- Lipid Clinic, Department of Endocrinology and Nutrition, August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Hospital Clinic,, University of Barcelona, Barcelona, Spain
| | - José V Sorlí
- Instituto de Salud Carlos III, Centro de Investigacion Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBERObn), Madrid, Spain
- Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Nancy Babio
- Instituto de Salud Carlos III, Centro de Investigacion Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBERObn), Madrid, Spain
- Universitat Rovira i Virgili, Departament de Bioquimica i Biotecnologia, Unitat de Nutrició Humana (Grup ANUT-DSM). Institut d'Investigació Sanitària Pere Virgili, Reus, Spain
- Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana, Universitat Rovira i Virgili, Reus, Spain
| | - Yolanda F Márquez-Sandoval
- Cuerpo Académico UDG-CA-454 Alimentación y Nutrición en el Proceso de Salud-enfermedad, Centro Universitario de Ciencias de la Salud, Universidad de Guadalajara, Guadalajara, Mexico
| | - Olga Castañer
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar d'Investigacions Mèdiques (IMIM), Barcelona, Spain
- Centro de Investigacion Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
| | - Jordi Salas-Salvadó
- Instituto de Salud Carlos III, Centro de Investigacion Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBERObn), Madrid, Spain
- Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana, Universitat Rovira i Virgili, Reus, Spain
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16
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Rios S, García-Gavilán JF, Babio N, Paz-Graniel I, Ruiz-Canela M, Liang L, Clish CB, Toledo E, Corella D, Estruch R, Ros E, Fitó M, Arós F, Fiol M, Guasch-Ferré M, Santos-Lozano JM, Li J, Razquin C, Martínez-González MÁ, Hu FB, Salas-Salvadó J. Plasma metabolite profiles associated with the World Cancer Research Fund/American Institute for Cancer Research lifestyle score and future risk of cardiovascular disease and type 2 diabetes. Cardiovasc Diabetol 2023; 22:252. [PMID: 37716984 PMCID: PMC10505328 DOI: 10.1186/s12933-023-01912-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/24/2023] [Accepted: 07/01/2023] [Indexed: 09/18/2023] Open
Abstract
BACKGROUND A healthy lifestyle (HL) has been inversely related to type 2 diabetes (T2D) and cardiovascular disease (CVD). However, few studies have identified a metabolite profile associated with HL. The present study aims to identify a metabolite profile of a HL score and assess its association with the incidence of T2D and CVD in individuals at high cardiovascular risk. METHODS In a subset of 1833 participants (age 55-80y) of the PREDIMED study, we estimated adherence to a HL using a composite score based on the 2018 Word Cancer Research Fund/American Institute for Cancer Research recommendations. Plasma metabolites were analyzed using LC-MS/MS methods at baseline (discovery sample) and 1-year of follow-up (validation sample). Cross-sectional associations between 385 known metabolites and the HL score were assessed using elastic net regression. A 10-cross-validation procedure was used, and correlation coefficients or AUC were assessed between the identified metabolite profiles and the self-reported HL score. We estimated the associations between the identified metabolite profiles and T2D and CVD using multivariable Cox regression models. RESULTS The metabolite profiles that identified HL as a dichotomous or continuous variable included 24 and 58 metabolites, respectively. These are amino acids or derivatives, lipids, and energy intermediates or xenobiotic compounds. After adjustment for potential confounders, baseline metabolite profiles were associated with a lower risk of T2D (hazard ratio [HR] and 95% confidence interval (CI): 0.54, 0.38-0.77 for dichotomous HL, and 0.22, 0.11-0.43 for continuous HL). Similar results were observed with CVD (HR, 95% CI: 0.59, 0.42-0.83 for dichotomous HF and HR, 95%CI: 0.58, 0.31-1.07 for continuous HL). The reduction in the risk of T2D and CVD was maintained or attenuated, respectively, for the 1-year metabolomic profile. CONCLUSIONS In an elderly population at high risk of CVD, a set of metabolites was selected as potential metabolites associated with the HL pattern predicting the risk of T2D and, to a lesser extent, CVD. These results support previous findings that some of these metabolites are inversely associated with the risk of T2D and CVD. TRIAL REGISTRATION The PREDIMED trial was registered at ISRCTN ( http://www.isrctn.com/ , ISRCTN35739639).
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Affiliation(s)
- Santiago Rios
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Alimentaciò, Nutrició Desenvolupament i Salut Mental ANUT-DSM, Reus, Spain
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
- Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
| | - Jesús F García-Gavilán
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Alimentaciò, Nutrició Desenvolupament i Salut Mental ANUT-DSM, Reus, Spain.
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain.
- Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain.
| | - Nancy Babio
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Alimentaciò, Nutrició Desenvolupament i Salut Mental ANUT-DSM, Reus, Spain
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
- Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
| | - Indira Paz-Graniel
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Alimentaciò, Nutrició Desenvolupament i Salut Mental ANUT-DSM, Reus, Spain
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
- Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
| | - Miguel Ruiz-Canela
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
- Department of Preventive Medicine and Public Health, University of Navarra, IdiSNA, Pamplona, Spain
| | - Liming Liang
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Clary B Clish
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Estefania Toledo
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
- Department of Preventive Medicine and Public Health, University of Navarra, IdiSNA, Pamplona, Spain
| | - Dolores Corella
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
- Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Ramón Estruch
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
- Department of Internal Medicine, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clínic, Barcelona, Spain
| | - Emilio Ros
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
- Department of Endocrinology and Nutrition, Lipid Clinic, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clínic, Barcelona, Spain
| | - Montserrat Fitó
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d'Investigació Médica (IMIM), Barcelona, Spain
| | - Fernando Arós
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
- Department of Cardiology, Hospital Universitario de Álava, Vitoria, Spain
| | - Miquel Fiol
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
- Health Research Institute of the Balearic Islands (IdISBa), Hospital Son Espases, Palma de Mallorca, Spain
| | - Marta Guasch-Ferré
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Public Health and Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - José M Santos-Lozano
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
- Research Unit, Department of Family Medicine, Distrito Sanitario Atención Primaria Sevilla, Sevilla, Spain
| | - Jun Li
- Department of Preventive Medicine and Public Health, University of Navarra, IdiSNA, Pamplona, Spain
- Health Research Institute of the Balearic Islands (IdISBa), Hospital Son Espases, Palma de Mallorca, Spain
| | - Cristina Razquin
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
- Department of Preventive Medicine and Public Health, University of Navarra, IdiSNA, Pamplona, Spain
| | - Miguel Ángel Martínez-González
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
- Department of Preventive Medicine and Public Health, University of Navarra, IdiSNA, Pamplona, Spain
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Frank B Hu
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Jordi Salas-Salvadó
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Alimentaciò, Nutrició Desenvolupament i Salut Mental ANUT-DSM, Reus, Spain.
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain.
- Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain.
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Vasilj M, Goni L, Gayoso L, Razquin C, Sesma MT, Etxeberria U, Ruiz-Canela M. Correlation between serum advanced glycation end products and dietary intake of advanced glycation end products estimated from home cooking and food frequency questionnaires. Nutr Metab Cardiovasc Dis 2023; 33:1768-1777. [PMID: 37414659 DOI: 10.1016/j.numecd.2023.05.022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Revised: 04/27/2023] [Accepted: 05/18/2023] [Indexed: 07/08/2023]
Abstract
BACKGROUND & AIMS To our knowledge the association between dietary advanced glycation end-products (dAGEs) and cardiometabolic disease is limited. Our aim was to examine the association between dAGEs and serum concentration of carboxymethyl-lysine (CML) or soluble receptor advanced glycation end-products (sRAGEs), and to assess the difference on dAGEs and circulating AGEs according to lifestyle and biochemical measures. METHODS AND RESULTS 52 overweight or obese adults diagnosed with type 2 diabetes were included in this cross-sectional analysis. dAGEs were estimated from a Food Frequency Questionnaire (FFQ) or from a FFQ + Home Cooking Frequency Questionnaire (HCFQ). Serum concentrations of CML and sRAGEs were measured by ELISA. Correlation tests were used to analyze the association between dAGEs derived from the FFQ or FFQ + HCFQ and concentrations of CML or sRAGEs. Demographic characteristics, lifestyle factors and biochemical measures were analyzed according to sRAGEs and dAGEs using student t-test and ANCOVA. A significant inverse association was found between serum sRAGEs and dAGEs estimated using the FFQ + HCFQ (r = -0.36, p = 0.010), whereas no association was found for dAGEs derived from the FFQ alone. No association was observed between CML and dAGEs. dAGEs intake estimated from the FFQ + HCFQ was significantly higher among younger and male participants, and in those with higher BMI, higher Hb1Ac levels, longer time with type 2 diabetes, lower adherence to Mediterranean diet, and higher use of culinary techniques that generate more AGEs (all p values p < 0.05). CONCLUSIONS These results show knowledge on culinary techniques is relevant to derive the association between dAGEs intake and cardiometabolic risk factors.
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Affiliation(s)
- Maria Vasilj
- University of Navarra, Department of Preventive Medicine and Public Health, IdiSNA (Instituto de Investigación Sanitaria de Navarra), Pamplona, Spain
| | - Leticia Goni
- University of Navarra, Department of Preventive Medicine and Public Health, IdiSNA (Instituto de Investigación Sanitaria de Navarra), Pamplona, Spain; CIBER Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain
| | - Lucía Gayoso
- Basque Culinary Center, Faculty of Gastronomic Sciences, Mondragon Unibertsitatea, Donostia-San Sebastián, Spain; BCC Innovation, Technology Center in Gastronomy, Basque Culinary Center, Donostia-San Sebastián, Spain
| | - Cristina Razquin
- University of Navarra, Department of Preventive Medicine and Public Health, IdiSNA (Instituto de Investigación Sanitaria de Navarra), Pamplona, Spain; CIBER Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain
| | - María Teresa Sesma
- University of Navarra, Department of Preventive Medicine and Public Health, IdiSNA (Instituto de Investigación Sanitaria de Navarra), Pamplona, Spain; CIBER Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain
| | - Usune Etxeberria
- Basque Culinary Center, Faculty of Gastronomic Sciences, Mondragon Unibertsitatea, Donostia-San Sebastián, Spain; BCC Innovation, Technology Center in Gastronomy, Basque Culinary Center, Donostia-San Sebastián, Spain
| | - Miguel Ruiz-Canela
- University of Navarra, Department of Preventive Medicine and Public Health, IdiSNA (Instituto de Investigación Sanitaria de Navarra), Pamplona, Spain; CIBER Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain.
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18
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Domper J, Gayoso L, Goni L, de la O V, Etxeberria U, Ruiz-Canela M. Culinary medicine and healthy ageing: a comprehensive review. Nutr Res Rev 2023:1-15. [PMID: 37605999 DOI: 10.1017/s0954422423000148] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/23/2023]
Abstract
Culinary medicine (CM) represents a novel strategy to promote healthy ageing, as it improves adherence to healthy dietary patterns by providing nutritional education and training in cooking skills. We conducted a comprehensive review of the current scientific literature (2011-2022) concerning CM programmes implemented among participants over the age of 40. This review includes fourteen culinary-nutritional interventions. Each CM programme was analysed according to seven variables: health goal, study design, theoretical basis of the intervention, intervention duration, main outcomes, culinary intervention and the effectiveness of intervention. Although CM programmes showed low effectiveness in achieving positive results on psychosocial outcomes, they were successful in improving dietary intake and health-related outcomes. The interventions lasting for at least 5 months and employing study designs with two or more groups seemed to be important factors associated with achieving significant results. Significant results were observed regardless of the prevention phase defined as the health objective of the CM programme. The use of theoretical frameworks as an educational resource did not influence the effectiveness of the interventions. Other variables such as the inclusion of culinary outcomes, the optimisation of the culinary curriculum taught to the participants and the participation of a chef in the intervention are factors that should be taken into account. In addition, several educational components (cooking classes, hands-on cooking, free food delivery, individualized counselling) were promising for achieving health outcomes in ageing people. Our review has shown that CM programmes can be a powerful tool to improve the health status of ageing people.
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Affiliation(s)
- Jara Domper
- Basque Culinary Center, Faculty of Gastronomic Sciences, Mondragon UnibertsitateaDonostia-San Sebastián, Spain
- BCC Innovation, Technology Center in Gastronomy, Basque Culinary Center, Donostia-San Sebastián, Spain
| | - Lucía Gayoso
- Basque Culinary Center, Faculty of Gastronomic Sciences, Mondragon UnibertsitateaDonostia-San Sebastián, Spain
- BCC Innovation, Technology Center in Gastronomy, Basque Culinary Center, Donostia-San Sebastián, Spain
| | - Leticia Goni
- Department of Preventive Medicine and Public Health, University of Navarra, IdiSNA, Pamplona, Spain
- Consorcio Centro de Investigaciones Biomédicas en Red (CIBERObn), Institute of Health Carlos III (ISCIII), Madrid, Spain
| | - Victor de la O
- Department of Preventive Medicine and Public Health, University of Navarra, IdiSNA, Pamplona, Spain
- Cardiometabolic Nutrition Group, IMDEA Food, CEI UAM + CSIC, Madrid, Spain
| | - Usune Etxeberria
- Basque Culinary Center, Faculty of Gastronomic Sciences, Mondragon UnibertsitateaDonostia-San Sebastián, Spain
- BCC Innovation, Technology Center in Gastronomy, Basque Culinary Center, Donostia-San Sebastián, Spain
| | - Miguel Ruiz-Canela
- Department of Preventive Medicine and Public Health, University of Navarra, IdiSNA, Pamplona, Spain
- Consorcio Centro de Investigaciones Biomédicas en Red (CIBERObn), Institute of Health Carlos III (ISCIII), Madrid, Spain
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19
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Ni J, Nishi SK, Babio N, Ros E, Basterra-Gortari FJ, Corella D, O C, Martínez JA, Alonso-Gómez ÁM, Wärnberg J, Vioque J, Romaguera D, López-Miranda J, Estruch R, Tinahones FJ, Santos-Lozano JM, Serra-Majem L, Cano-Ibáñez N, Tur JA, Fernández-García JM, Pintó X, Delgado-Rodríguez M, Matía-Martín P, Vidal J, Vázquez C, Daimiel L, Fernández-Aranda F, Ruiz-Canela M, Mestres Solà C, Portolés O, Sala-Vila A, Garcia-Rios A, Compañ-Gabucio LM, Gómez-Gracia E, Zulet MA, Chaplin A, Casas R, Martínez-Diz S, Tojal-Sierra L, Gómez-Pérez AM, Toledo E, Rios S, Ortega-Azorín C, de la Torre R, Peña-Orihuela PJ, Garcia-de la Hera M, Sayón-Orea C, Malcampo M, Salas-Salvadó J. Higher versus lower nut consumption and changes in cognitive performance over two years in a population at risk of cognitive decline: a cohort study. Am J Clin Nutr 2023; 118:360-368. [PMID: 37269908 PMCID: PMC10447472 DOI: 10.1016/j.ajcnut.2023.05.032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2023] [Revised: 05/24/2023] [Accepted: 05/30/2023] [Indexed: 06/05/2023] Open
Abstract
BACKGROUND Tree nuts and peanuts (henceforth, nuts) are nutrient-dense foods rich in neuroprotective components; thus, their consumption could benefit cognitive health. However, evidence to date is limited and inconsistent regarding the potential benefits of nuts for cognitive function. OBJECTIVE To prospectively evaluate the association between nut consumption and 2-y changes in cognitive performance in older adults at cognitive decline risk. METHODS A total of 6,630 participants aged 55 to 75 y (mean age 65.0±4.9 y, 48.4% women) with overweight/obesity and metabolic syndrome completed a validated semi-quantitative food frequency questionnaire and a comprehensive battery of neuropsychological tests at baseline and a 2-y follow-up. Composite cognitive scores were used to assess global, general, attention, and executive function domains. Nut consumption was categorized as <1, ≥1 to <3, ≥3 to <7, and ≥7 servings/wk (1 serving=30 g). Multivariable-adjusted linear regression models were fitted to assess associations between baseline nut consumption and 2-y cognitive changes. RESULTS Nut consumption was positively associated with 2-y changes in general cognitive function (P-trend <0.001). Compared with participants consuming <1 serving/wk of nuts, those categorized as consuming ≥3 to <7 and ≥7 servings/wk showed more favorable changes in general cognitive performance (β z-score [95% CI] = 0.06 [0.00,0.12] and 0.13 [0.06,0.20], respectively). No significant changes were observed in the multivariable-adjusted models for other cognitive domains assessed. CONCLUSION Frequent nut consumption was associated with a smaller decline in general cognitive performance over 2 y in older adults at risk of cognitive decline. Randomized clinical trials to verify our findings are warranted.
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Affiliation(s)
- Jiaqi Ni
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Alimentació, Nutrició, Desenvolupament i Salut Mental (ANUT-DSM), Unitat de Nutrició Humana, Reus, Spain; Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain; Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
| | - Stephanie K Nishi
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Alimentació, Nutrició, Desenvolupament i Salut Mental (ANUT-DSM), Unitat de Nutrició Humana, Reus, Spain; Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain; Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Toronto 3D (Diet, Digestive Tract and Disease) Knowledge Synthesis and Clinical Trials Unit, Toronto, ON, Canada; Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Unity Health Toronto, ON, Canada
| | - Nancy Babio
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Alimentació, Nutrició, Desenvolupament i Salut Mental (ANUT-DSM), Unitat de Nutrició Humana, Reus, Spain; Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain; Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.
| | - Emilio Ros
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Lipid Clinic, Department of Endocrinology and Nutrition, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clinic, Barcelona, Spain
| | - F Javier Basterra-Gortari
- Department of Preventive Medicine and Public Health, Universidad de Navarra, IdiSNA, Pamplona, Spain; Department of Endocrinology and Nutrition, Hospital Universitario de Navarra, IdiSNA, Universidad Pública de Navarra, Pamplona, Spain
| | - Dolores Corella
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Castañer O
- Centro de Investigación Biomédica en Red Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d`Investigació Médica (IMIM), Barcelona, Spain
| | - J Alfredo Martínez
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, University of Navarra, IdiSNA, Pamplona, Spain; Precision Nutrition and Cardiometabolic Health Program. IMDEA Food, CEI UAM + CSIC, Madrid, Spain
| | - Ángel M Alonso-Gómez
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Bioaraba Health Research Institute, Cardiovascular, Respiratory and Metabolic Area; Osakidetza Basque Health Service, Araba University Hospital; University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain
| | - Julia Wärnberg
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; EpiPHAAN research group, School of Health Sciences, University of Malaga - Instituto de Investigación Biomédica en Málaga (IBIMA), Málaga, Spain
| | - Jesús Vioque
- Centro de Investigación Biomédica en Red Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; Instituto de Investigación Sanitaria y Biomédica de Alicante. Universidad Miguel Hernández (ISABIAL-UMH). Alicante, Spain
| | - Dora Romaguera
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Health Research Institute of the Balearic Islands (IdISBa), Palma de Mallorca, Spain
| | - José López-Miranda
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, Cordoba, Spain
| | - Ramon Estruch
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Department of Internal Medicine, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain; Institut de Recerca en Nutrició i Seguretata Alimentaria (INSA-UB). University of Barcelona, Barcelona, Spain
| | - Francisco J Tinahones
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Virgen de la Victoria Hospital, Department of Endocrinology, Instituto de Investigación Biomédica de Málaga (IBIMA). University of Málaga, Málaga, Spain
| | - José Manuel Santos-Lozano
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Department of Family Medicine, Research Unit, Distrito Sanitario Atención Primaria Sevilla, Sevilla, Spain
| | - Lluís Serra-Majem
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Research Institute of Biomedical and Health Sciences (IUIBS), University of Las Palmas de Gran Canaria & Centro Hospitalario Universitario Insular Materno Infantil (CHUIMI), Canarian Health Service, Las Palmas de Gran Canaria, Spain
| | - Naomi Cano-Ibáñez
- Centro de Investigación Biomédica en Red Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; Department of Preventive Medicine and Public Health, University of Granada, Granada, Spain; Instituto de Investigación Biosanitaria de Granada (ibs.GRANADA), Granada, Spain
| | - Josep A Tur
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands, Palma de Mallorca, Spain
| | - José Manuel Fernández-García
- Medicina Familiar y Comunitaria. Grupo de trabajo de Nutrición, Sociedad Española de Médicos de Atención Primaria (SEMERGEN), Centro de Salud de Valga, Pontevedra, Spain; Department of Psychiatry, Radiology, Public Health, Nursing and Medicine, University of Santiago de Compostela, Santiago de Compostela, Spain
| | - Xavier Pintó
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Lipids and Vascular Risk Unit, Internal Medicine, Hospital Universitario de Bellvitge-IDIBELL, Hospitalet de Llobregat, Barcelona Spain
| | - Miguel Delgado-Rodríguez
- Precision Nutrition and Cardiometabolic Health Program. IMDEA Food, CEI UAM + CSIC, Madrid, Spain; Division of Preventive Medicine, Faculty of Medicine, University of Jaén, Jaén, Spain
| | - Pilar Matía-Martín
- Department of Endocrinology and Nutrition, Instituto de Investigación Sanitaria Hospital Clínico San Carlos (IdISSC), Madrid, Spain
| | - Josep Vidal
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, Madrid, Spain; Department of Endocrinology, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Clotilde Vázquez
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Department of Endocrinology and Nutrition, Hospital Fundación Jimenez Díaz. Instituto de Investigaciones Biomédicas IISFJD. University Autonoma, Madrid, Spain
| | - Lidia Daimiel
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Nutritional Control of the Epigenome Group. Precision Nutrition and Obesity Program. IMDEA Food, CEI UAM + CSIC, Madrid, Spain; Departamento de Ciencias Farmacéuticas y de la Salud, Facultad de Farmacia, Universidad San Pablo-CEU, CEU Universities, Urbanización Montepríncipe, 28660 Boadilla del Monte, Spain
| | - Fernando Fernández-Aranda
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Clinical Psychology Unit, University Hospital of Bellvitge-Instituto de Investigación Biomédica de Bellvitge (IDIBELL), Barcelona, Spain; Department of Clinical Sciences, School of Medicine and Health Sciences, University of Barcelona, Barcelona, Spain
| | - Miguel Ruiz-Canela
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Department of Preventive Medicine and Public Health, Universidad de Navarra, IdiSNA, Pamplona, Spain
| | | | - Olga Portolés
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Aleix Sala-Vila
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d`Investigació Médica (IMIM), Barcelona, Spain
| | - Antonio Garcia-Rios
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, Cordoba, Spain
| | - Laura María Compañ-Gabucio
- Centro de Investigación Biomédica en Red Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; Instituto de Investigación Sanitaria y Biomédica de Alicante. Universidad Miguel Hernández (ISABIAL-UMH). Alicante, Spain
| | - Enrique Gómez-Gracia
- Preventive Medicine and Public Health Department, School of Medicine, University of Málaga, 29010 Malaga, Spain; Biomedical Research Institute of Malaga-IBIMA Plataforma BIONAND, 29010 Malaga, Spain
| | - M Angeles Zulet
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, University of Navarra, IdiSNA, Pamplona, Spain
| | - Alice Chaplin
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Health Research Institute of the Balearic Islands (IdISBa), Palma de Mallorca, Spain
| | - Rosa Casas
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Department of Internal Medicine, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain; Institut de Recerca en Nutrició i Seguretata Alimentaria (INSA-UB). University of Barcelona, Barcelona, Spain
| | - Silvia Martínez-Diz
- Service of Preventive Medicine and Public Health, Hospital Universitario Clínico San Cecilio, 18016 Granada, Spain
| | - Lucas Tojal-Sierra
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Bioaraba Health Research Institute, Cardiovascular, Respiratory and Metabolic Area; Osakidetza Basque Health Service, Araba University Hospital; University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain
| | - Ana María Gómez-Pérez
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Virgen de la Victoria Hospital, Department of Endocrinology, Instituto de Investigación Biomédica de Málaga (IBIMA). University of Málaga, Málaga, Spain
| | - Estefanía Toledo
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Department of Preventive Medicine and Public Health, Universidad de Navarra, IdiSNA, Pamplona, Spain
| | - Santiago Rios
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Alimentació, Nutrició, Desenvolupament i Salut Mental (ANUT-DSM), Unitat de Nutrició Humana, Reus, Spain; Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain; Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
| | - Carolina Ortega-Azorín
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Rafael de la Torre
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Integrative Pharmacology and Systems Neurosciences Research Group, Hospital del Mar Medical Research Institute, Barcelona, Spain; Department of Medicine and Life Sciences (MELIS), Universitat Pompeu Fabra, Barcelona, Spain
| | - Patricia J Peña-Orihuela
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, Cordoba, Spain
| | - Manuela Garcia-de la Hera
- Centro de Investigación Biomédica en Red Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; Instituto de Investigación Sanitaria y Biomédica de Alicante. Universidad Miguel Hernández (ISABIAL-UMH). Alicante, Spain
| | - Carmen Sayón-Orea
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Department of Preventive Medicine and Public Health, Universidad de Navarra, IdiSNA, Pamplona, Spain
| | - Mireia Malcampo
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d`Investigació Médica (IMIM), Barcelona, Spain
| | - Jordi Salas-Salvadó
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Alimentació, Nutrició, Desenvolupament i Salut Mental (ANUT-DSM), Unitat de Nutrició Humana, Reus, Spain; Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain; Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
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20
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Bouzas C, Pastor R, García S, Monserrat-Mesquida M, Martínez-González MÁ, Salas-Salvadó J, Corella D, Schröder H, Martínez JA, Alonso-Gómez ÁM, Wärnberg J, Vioque J, Romaguera D, Lopez-Miranda J, Estruch R, Tinahones FJ, Lapetra J, Serra-Majem L, Riquelme-Gallego B, Romero-Secin A, Pintó X, Gaforio JJ, Matía P, Vidal J, Zapatero M, Daimiel L, Ros E, García-Arellano A, Babio N, Gonzalez-Monje I, Castañer O, Abete I, Tojal-Sierra L, Benavente-Marín JC, Signes-Pastor A, Konieczna J, García-Ríos A, Castro-Barquero S, Fernández-García JC, Santos-Lozano JM, Bes-Rastrollo M, Mestres C, Guillem-Saiz P, Goday A, Goicolea-Güemez L, Puig-Aguiló E, Ruiz-Canela M, Palau-Galindo A, Fitó M, Tur JA. Association of monetary diet cost of foods and diet quality in Spanish older adults. Front Public Health 2023; 11:1166787. [PMID: 37559740 PMCID: PMC10408666 DOI: 10.3389/fpubh.2023.1166787] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2023] [Accepted: 06/26/2023] [Indexed: 08/11/2023] Open
Abstract
Background A major barrier to a healthy diet may be the higher price of healthy foods compared to low-quality foods. Objectives This study aimed to assess the association between the monetary cost of food and diet quality in Spanish older adults at high risk of cardiovascular disease. Methods Cross-sectional analysis was carried out in Spanish older adults (n = 6,838; 48.6% female). A validated food frequency questionnaire was used to assess dietary intake. Metabolic syndrome severity, adherence to the Mediterranean diet (MedDiet), adherence to a provegetarian dietary pattern, and dietary inflammatory index were assessed. The economic cost of the foods was obtained from the Spanish Ministry of Agriculture Fisheries and Food database (2015-2017, the period of time when the participants were recruited). The total cost of diet adjusted per 1,000 kcal was computed. Results The healthier dietary pattern was associated with a higher cost of the diet. Higher adherence to the MedDiet, anti-inflammatory diet, and the healthy version of the provegetarian dietary pattern were related to higher costs of the diet. Conclusion Higher diet quality was associated with a higher dietary cost of the diet per 1,000 kcal/day. Food prices can be an important component of interventions and policies aimed at improving people's diets and preventing diet-related chronic diseases. Clinical trial registry number The trial was registered in 2014 at the International Standard Randomized Controlled Trial (ISRCT; http://www.isrctn.com/ISRCTN89898870) with the number 89898870.
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Affiliation(s)
- Cristina Bouzas
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Research Group on Community Nutrition and Oxidative Stress, University of Balearic Islands, Palma de Mallorca, Spain
- Health Research Institute of the Balearic Islands (IdISBa), Palma de Mallorca, Spain
| | - Rosario Pastor
- Research Group on Community Nutrition and Oxidative Stress, University of Balearic Islands, Palma de Mallorca, Spain
- Faculty of Health Sciences, Catholic University of Ávila, Ávila, Spain
| | - Silvia García
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Research Group on Community Nutrition and Oxidative Stress, University of Balearic Islands, Palma de Mallorca, Spain
- Health Research Institute of the Balearic Islands (IdISBa), Palma de Mallorca, Spain
| | - Margalida Monserrat-Mesquida
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Research Group on Community Nutrition and Oxidative Stress, University of Balearic Islands, Palma de Mallorca, Spain
- Health Research Institute of the Balearic Islands (IdISBa), Palma de Mallorca, Spain
| | - Miguel Ángel Martínez-González
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Preventive Medicine and Public Health, IDISNA, University of Navarra, Pamplona, Spain
| | - Jordi Salas-Salvadó
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana & Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
| | - Dolores Corella
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Helmut Schröder
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d'Investigació Mèdica (IMIM), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - J. Alfredo Martínez
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Cardiometabolics Precision Nutrition Program, IMDEA Food, CEI UAM + CSIC, Madrid, Spain
- Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, University of Navarra, Pamplona, Spain
| | - Ángel M. Alonso-Gómez
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Bioaraba Health Research Institute, Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain
| | - Julia Wärnberg
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Nursing, School of Health Sciences, University of Málaga-IBIMA, Málaga, Spain
| | - Jesús Vioque
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Instituto de Investigación Sanitaria y Biomédica de Alicante, Universidad Miguel Hernández, ISABIAL-UMH, Alicante, Spain
| | - Dora Romaguera
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Health Research Institute of the Balearic Islands (IdISBa), Palma de Mallorca, Spain
| | - José Lopez-Miranda
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Lipids and Atherosclerosis Unit, Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Córdoba, Córdoba, Spain
| | - Ramon Estruch
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Internal Medicine, IDIBAPS, Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Francisco J. Tinahones
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Endocrinology, Virgen de la Victoria Hospital, University of Málaga, Málaga, Spain
| | - José Lapetra
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Family Medicine, Research Unit, Distrito Sanitario Atención Primaria Sevilla, Sevilla, Spain
| | - Lluís Serra-Majem
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Institute for Biomedical Research, University of Las Palmas de Gran Canaria, Las Palmas, Spain
| | - Blanca Riquelme-Gallego
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Preventive Medicine, University of Granada, Granada, Spain
| | - Anny Romero-Secin
- CIBER Diabetes y Enfermedades Metabólicas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Consultorio de Colloto, Centro de Salud Ventanielles, Oviedo, Spain
| | - Xavier Pintó
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Lipids and Vascular Risk Unit, Internal Medicine, Hospital Universitari de Bellvitge, Hospitalet de Llobregat, Barcelona, Spain
| | - José J. Gaforio
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Health Sciences, Center for Advanced Studies in Olive Grove and Olive Oils, University of Jaén, Jaén, Spain
| | - Pilar Matía
- Department of Endocrinology and Nutrition, Instituto de Investigación Sanitaria San Carlos (IdISSC), Hospital Clínico San Carlos, Universidad Complutense, Madrid, Spain
| | - Josep Vidal
- Department of Endocrinology, IDIBAPS, Hospital Clinic, University of Barcelona, Barcelona, Spain
| | | | - Lidia Daimiel
- Nutritional Control of the Epigenome Group, Precision Nutrition and Obesity Program, IMDEA Food, CEI UAM + CSIC, Madrid, Spain
| | - Emilio Ros
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Lipid Clinic, Department of Endocrinology and Nutrition, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Hospital Clínic, Barcelona, Spain
| | - Ana García-Arellano
- Department of Preventive Medicine and Public Health, IDISNA, University of Navarra, Pamplona, Spain
- Osasunbidea, Servicio Navarro de Salud, Atención Primaria, Pamplona, Spain
| | - Nancy Babio
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana & Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
| | | | - Olga Castañer
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d'Investigació Mèdica (IMIM), Barcelona, Spain
| | - Itziar Abete
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, University of Navarra, Pamplona, Spain
| | - Lucas Tojal-Sierra
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Bioaraba Health Research Institute, Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain
| | - Juan Carlos Benavente-Marín
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Nursing, School of Health Sciences, University of Málaga-IBIMA, Málaga, Spain
| | - Antonio Signes-Pastor
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Instituto de Investigación Sanitaria y Biomédica de Alicante, Universidad Miguel Hernández, ISABIAL-UMH, Alicante, Spain
| | - Jadwiga Konieczna
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Health Research Institute of the Balearic Islands (IdISBa), Palma de Mallorca, Spain
| | - Antonio García-Ríos
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Lipids and Atherosclerosis Unit, Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Córdoba, Córdoba, Spain
| | - Sara Castro-Barquero
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Internal Medicine, IDIBAPS, Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - José C. Fernández-García
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Endocrinology, Virgen de la Victoria Hospital, University of Málaga, Málaga, Spain
| | - José Manuel Santos-Lozano
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Family Medicine, Research Unit, Distrito Sanitario Atención Primaria Sevilla, Sevilla, Spain
| | - Maira Bes-Rastrollo
- Department of Preventive Medicine and Public Health, IDISNA, University of Navarra, Pamplona, Spain
| | - Cristina Mestres
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana & Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
| | - Patricia Guillem-Saiz
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Albert Goday
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d'Investigació Mèdica (IMIM), Barcelona, Spain
| | - Leire Goicolea-Güemez
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Bioaraba Health Research Institute, Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain
| | | | - Miguel Ruiz-Canela
- Department of Preventive Medicine and Public Health, IDISNA, University of Navarra, Pamplona, Spain
| | - Antoni Palau-Galindo
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana & Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
- ABS Reus V. Centre d'Assistència Primària Marià Fortuny, Salut Sant Joan de Reus-Baix Camp, Reus, Spain
| | - Montse Fitó
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d'Investigació Mèdica (IMIM), Barcelona, Spain
| | - Josep A. Tur
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Research Group on Community Nutrition and Oxidative Stress, University of Balearic Islands, Palma de Mallorca, Spain
- Health Research Institute of the Balearic Islands (IdISBa), Palma de Mallorca, Spain
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López-Herreros J, Martínez-González MA, Gea A, Sánchez-Villegas A, Dierssen-Sotos T, Jiménez-Moleón JJ, Ruiz-Canela M, Toledo E. Health-related quality of life and mortality in the 'Seguimiento Universidad de Navarra' prospective cohort study. Exp Gerontol 2023; 178:112224. [PMID: 37244372 DOI: 10.1016/j.exger.2023.112224] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2022] [Revised: 05/03/2023] [Accepted: 05/24/2023] [Indexed: 05/29/2023]
Abstract
OBJECTIVE To study the association between health-related quality of life (HRQoL) and all-cause mortality in a healthy middle-aged Mediterranean cohort. METHODS We included 15,390 participants -mean age 42.8 years at first HRQoL ascertainment, all university graduates-. HRQoL was assessed with the self-administered Medical Outcomes Study Short Form-36 (SF-36) twice, with a 4-year gap. We used multivariable-adjusted Cox regression models to address the relation between self-reported health and Physical or Mental Component Summary (PCS-36 or MCS-36) and mortality, and their interaction with prior comorbidities or adherence to the Mediterranean diet (MedDiet). RESULTS Over 8.7 years of median follow-up time, 266 deaths were identified. Hazard ratio (HR) for the excellent vs. poor/fair category in self-reported health was 0.30 (95 % confidence interval (CI), 0.16-0.57) in the model with repeated measurements of HRQoL. Both the PCS-36 (HRquartile4(Q4)vs.Q1 0.57 [95%CI, 0.36-0.90], ptrend < 0.001; HRper+10points: 0.64 [95%CI, 0.54-0.75]) and the MCS-36 (HRQ4vs.Q1 0.67 [95%CI, 0.46-0.97], ptrend = 0.025; HRper+10points: 0.86 [95%CI, 0.74-0.99]) were inversely associated with mortality in the model with repeated measurements of HRQoL. Previous comorbidities or adherence to the MedDiet did not modify these associations. CONCLUSIONS Self-reported HRQoL -assessed as self-reported health, PCS-36 and MCS-36- obtained with the Spanish version of the SF-36 were inversely associated with mortality risk, regardless of the presence of previous comorbidities or adherence to the MedDiet.
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Affiliation(s)
- J López-Herreros
- Universidad de Navarra, Department of Preventive Medicine and Public Health, Pamplona, Spain
| | - M A Martínez-González
- Universidad de Navarra, Department of Preventive Medicine and Public Health, Pamplona, Spain; Biomedical Research Network Centre for Pathophysiology of Obesity and Nutrition (CIBEROBN), Carlos III Health Institute, Madrid, Spain; IdiSNA, Navarra Institute for Health Research, Pamplona, Spain; Department of Nutrition, Harvard T. H Chan School, Boston, MA 02115, USA
| | - A Gea
- Universidad de Navarra, Department of Preventive Medicine and Public Health, Pamplona, Spain; Biomedical Research Network Centre for Pathophysiology of Obesity and Nutrition (CIBEROBN), Carlos III Health Institute, Madrid, Spain; IdiSNA, Navarra Institute for Health Research, Pamplona, Spain
| | - A Sánchez-Villegas
- Biomedical Research Network Centre for Pathophysiology of Obesity and Nutrition (CIBEROBN), Carlos III Health Institute, Madrid, Spain; IdiSNA, Navarra Institute for Health Research, Pamplona, Spain; ISFOOD - Institute for Innovation & Sustainable Development in Food Chain, Universidad Pública de Navarra (UPNA), Pamplona, Spain
| | - T Dierssen-Sotos
- Biomedical Research Network Centre for Pathophysiology of Epidemiology and Public Health (CIBERESP), Carlos III Health Institute, Madrid, Spain; IDIVAL Santander, 39011 Santander, Spain; Faculty of Medicine, University of Cantabria, 39011 Santander, Spain
| | - J J Jiménez-Moleón
- Biomedical Research Network Centre for Pathophysiology of Epidemiology and Public Health (CIBERESP), Carlos III Health Institute, Madrid, Spain; Universidad de Granada, Department of Preventive Medicine and Public Health, Granada, Spain; Instituto de Investigación Biosanitaria ibs. GRANADA, Granada, Spain
| | - M Ruiz-Canela
- Universidad de Navarra, Department of Preventive Medicine and Public Health, Pamplona, Spain; Biomedical Research Network Centre for Pathophysiology of Obesity and Nutrition (CIBEROBN), Carlos III Health Institute, Madrid, Spain; IdiSNA, Navarra Institute for Health Research, Pamplona, Spain
| | - E Toledo
- Universidad de Navarra, Department of Preventive Medicine and Public Health, Pamplona, Spain; Biomedical Research Network Centre for Pathophysiology of Obesity and Nutrition (CIBEROBN), Carlos III Health Institute, Madrid, Spain; IdiSNA, Navarra Institute for Health Research, Pamplona, Spain.
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22
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González-Palacios S, Oncina-Cánovas A, García-de-la-Hera M, Martínez-González MÁ, Salas-Salvadó J, Corella D, Schröder H, Martínez JA, Alonso-Gómez ÁM, Wärnberg J, Romaguera D, López-Miranda J, Estruch R, Tinahones FJ, Lapetra J, Serra-Majem JL, Cano-Ibañez N, Tur JA, Martín-Sánchez V, Pintó X, Delgado-Rodríguez M, Matía-Martín P, Vidal J, Vázquez C, Daimiel L, Ros E, Bes-Rastrollo M, Atzeni A, Sorli JV, Zomeño MD, Peña-Orihuela PJ, Compañ-Gabucio LM, Barón-López FJ, Zulet MÁ, Konieczna J, Casas RM, Garrido-Garrido EM, Tojal-Sierra L, Gomez-Perez AM, Ruiz-Canela M, Palau A, Saiz C, Pérez-Vega KA, Garcia-Rios A, Torres-Collado L, Basterra-Gortari J, Garcidueñas-Fimbres TE, Malcampo M, Vioque J. Increased ultra-processed food consumption is associated with worsening of cardiometabolic risk factors in adults with metabolic syndrome: Longitudinal analysis from a randomized trial. Atherosclerosis 2023; 377:12-23. [PMID: 37343432 DOI: 10.1016/j.atherosclerosis.2023.05.022] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Revised: 05/31/2023] [Accepted: 05/31/2023] [Indexed: 06/23/2023]
Abstract
BACKGROUND AND AIMS The association between changes in ultra-processed food (UPF) consumption and cardiometabolic risk (CMR) factors remains understudied. We evaluated the association between changes in UPF consumption over 12 months of follow-up and changes in CMR factors in adults diagnosed with metabolic syndrome. METHODS We analysed data from 5373 adults (aged 55-75 years) participating in the PREDIMED-Plus trial. Diet was evaluated at baseline, 6- and 12-month visits using a validated food frequency questionnaire, and UPF consumption (in grams/day and percentage of total daily dietary intake in grams) was categorized based on NOVA classification. We used mixed-effects linear models with repeated measurements at baseline, 6 and 12 months of follow-up to assess the associations between changes in UPF consumption and changes in CMR factors adjusting for sociodemographic and lifestyles variables. RESULTS In multivariable-adjusted models, when comparing the highest versus the lowest quartile of UPF consumption, positive associations were found for several CMR factors: weight (kg, β = 1.09; 95% confidence interval 0.91 to 1.26); BMI (kg/m2, β = 0.39; 0.33 to 0.46); waist circumference (cm, β = 1.03; 0.81 to 1.26); diastolic blood pressure (mm Hg, β = 0.67; 0.29 to 1.06); fasting blood glucose (mg/dl, β = 1.66; 0.61 to 2.70); HbA1c (%, β = 0.04; 0.01 to 0.07); triglycerides (mg/dl, β = 6.79; 3.66 to 9.91) and triglycerides and glucose index (β = 0.06; 0.04 to 0.08). CONCLUSIONS Higher UPF consumption was associated with adverse evolution in objectively measured CMR factors after 12 months of follow-up in adults with metabolic syndrome. Further research is needed to explore whether these changes persist for longer periods.
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Affiliation(s)
- Sandra González-Palacios
- Unidad de Epidemiología de la Nutrición, Instituto de Investigación Sanitaria y Biomédica de Alicante. Universidad Miguel Hernández, (ISABIAL-UMH), Alicante, Spain; CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain
| | - Alejandro Oncina-Cánovas
- Unidad de Epidemiología de la Nutrición, Instituto de Investigación Sanitaria y Biomédica de Alicante. Universidad Miguel Hernández, (ISABIAL-UMH), Alicante, Spain; CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain
| | - Manuela García-de-la-Hera
- Unidad de Epidemiología de la Nutrición, Instituto de Investigación Sanitaria y Biomédica de Alicante. Universidad Miguel Hernández, (ISABIAL-UMH), Alicante, Spain; CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain
| | - Miguel Ángel Martínez-González
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; University of Navarra, Department of Preventive Medicine and Public Health, IDISNA, Pamplona, Spain; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Jordi Salas-Salvadó
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició, Reus, Spain; Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
| | - Dolores Corella
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Helmut Schröder
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain; Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d'Investigació Médica (IMIM), Barcelona, Spain
| | - J Alfredo Martínez
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, University of Navarra, Pamplona, Spain; Precision Nutrition and Cardiometabolic Health Program. IMDEA Food, CEI UAM + CSIC, Madrid, Spain
| | - Ángel M Alonso-Gómez
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Bioaraba Health Research Institute, Cardiovascular, Respiratory and Metabolic Area; Osakidetza Basque Health Service, Araba University Hospital; University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain
| | - Julia Wärnberg
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; EpiPHAAN research Group, School of Health Sciences, University of Málaga-Instituto de Investigación Biomédica en Málaga (IBIMA), Málaga, Spain
| | - Dora Romaguera
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Research Group on Nutritional Epidemiology & Cardiovascular Physiopathology (NUTRECOR), Health Research Institute of the Balearic Islands (IdISBa), University Hospital Son Espases (HUSE), Palma de Mallorca, Spain
| | - José López-Miranda
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, Cordoba, Spain
| | - Ramon Estruch
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Department of Internal Medicine, Hospital Clinic, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Institut de Recerca en Nutrició i Seguretata Alimentaria (INSA-UB). University of Barcelona, Barcelona, Spain
| | - Francisco J Tinahones
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Virgen de la Victoria Hospital, Department of Endocrinology, Instituto de Investigación Biomédica de Málaga (IBIMA). University of Málaga, Málaga, Spain
| | - José Lapetra
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Department of Family Medicine, Research Unit, Distrito Sanitario Atención Primaria Sevilla, Sevilla, Spain
| | - J Luís Serra-Majem
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Research Institute of Biomedical and Health Sciences (IUIBS), University of Las Palmas de Gran Canaria & Centro Hospitalario Universitario Insular Materno Infantil (CHUIMI), Canarian Health Service, Las Palmas de Gran Canaria, Spain
| | - Naomi Cano-Ibañez
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain; Department of Preventive Medicine and Public Health, University of Granada, Granada, Spain; Instituto de Investigación Biosanitaria de Granada (ibs.GRANADA), Granada, Spain
| | - Josep A Tur
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands, Palma de Mallorca, Spain
| | - Vicente Martín-Sánchez
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain; Institute of Biomedicine (IBIOMED), University of León, León, Spain
| | - Xavier Pintó
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Lipids and Vascular Risk Unit, Internal Medicine, Hospital Universitario de Bellvitge-IDIBELL, Hospitalet de Llobregat, Barcelona, Spain
| | | | - Pilar Matía-Martín
- Department of Endocrinology and Nutrition, Instituto de Investigación Sanitaria Hospital Clínico San Carlos (IdISSC), Madrid, Spain
| | - Josep Vidal
- CIBER Diabetes y Enfermedades Metabólicas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Department of Endocrinology, Institut d' Investigacions Biomédiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Clotilde Vázquez
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Department of Endocrinology and Nutrition, Hospital Fundación Jimenez Díaz. Instituto de Investigaciones Biomédicas IISFJD. University Autonoma, Madrid, Spain
| | - Lidia Daimiel
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Nutritional Control of the Epigenome Group, Precision Nutrition and Obesity Program. IMDEA Food, CEI UAM + CSIC, Madrid, Spain; Departamento de Ciencias Farmacéuticas y de la Salud, Faculty de Farmacia, Universidad San Pablo-CEU, CEU Universities, 28660, Boadilla del Monte, Spain
| | - Emili Ros
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Lipid Clinic, Department of Endocrinology and Nutrition, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clínic, Barcelona, Spain
| | - Maira Bes-Rastrollo
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; University of Navarra, Department of Preventive Medicine and Public Health, IDISNA, Pamplona, Spain
| | - Alessandro Atzeni
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició, Reus, Spain; Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
| | - Jose V Sorli
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - M Dolors Zomeño
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d'Investigació Médica (IMIM), Barcelona, Spain; Blanquerna-Ramon Llull University, Barcelona, Spain
| | - Patricia J Peña-Orihuela
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, Cordoba, Spain
| | - Laura M Compañ-Gabucio
- Unidad de Epidemiología de la Nutrición, Instituto de Investigación Sanitaria y Biomédica de Alicante. Universidad Miguel Hernández, (ISABIAL-UMH), Alicante, Spain; CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain
| | - Francisco J Barón-López
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; EpiPHAAN research Group, School of Health Sciences, University of Málaga-Instituto de Investigación Biomédica en Málaga (IBIMA), Málaga, Spain
| | - María Ángeles Zulet
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, University of Navarra, Pamplona, Spain
| | - Jadwiga Konieczna
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Research Group on Nutritional Epidemiology & Cardiovascular Physiopathology (NUTRECOR), Health Research Institute of the Balearic Islands (IdISBa), University Hospital Son Espases (HUSE), Palma de Mallorca, Spain
| | - Rosa M Casas
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Department of Internal Medicine, Hospital Clinic, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Institut de Recerca en Nutrició i Seguretata Alimentaria (INSA-UB). University of Barcelona, Barcelona, Spain
| | | | - Lucas Tojal-Sierra
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Bioaraba Health Research Institute, Cardiovascular, Respiratory and Metabolic Area; Osakidetza Basque Health Service, Araba University Hospital; University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain
| | - Ana M Gomez-Perez
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Virgen de la Victoria Hospital, Department of Endocrinology, Instituto de Investigación Biomédica de Málaga (IBIMA). University of Málaga, Málaga, Spain
| | - Miguel Ruiz-Canela
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; University of Navarra, Department of Preventive Medicine and Public Health, IDISNA, Pamplona, Spain
| | - Antoni Palau
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició, Reus, Spain; Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain; Centre d'Assistència Primària Marià Fortuny, ABS Reus V. Salut Sant Joan de Reus, Reus, Spain
| | - Carmen Saiz
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Karla A Pérez-Vega
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d'Investigació Médica (IMIM), Barcelona, Spain
| | - Antonio Garcia-Rios
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, Cordoba, Spain
| | - Laura Torres-Collado
- Unidad de Epidemiología de la Nutrición, Instituto de Investigación Sanitaria y Biomédica de Alicante. Universidad Miguel Hernández, (ISABIAL-UMH), Alicante, Spain; CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain
| | - Javier Basterra-Gortari
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; University of Navarra, Department of Preventive Medicine and Public Health, IDISNA, Pamplona, Spain; Servicio de Endocrinología, Hospital Universitario de Navarra, Servicio Navarro de Salud-Osasunbidea, Pamplona, Spain
| | - Tany E Garcidueñas-Fimbres
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició, Reus, Spain; Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
| | - Mireia Malcampo
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d'Investigació Médica (IMIM), Barcelona, Spain
| | - Jesús Vioque
- Unidad de Epidemiología de la Nutrición, Instituto de Investigación Sanitaria y Biomédica de Alicante. Universidad Miguel Hernández, (ISABIAL-UMH), Alicante, Spain; CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain.
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23
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Díaz-Gutiérrez J, Martínez-González MÁ, Alonso A, Toledo E, Salas-Salvadó J, Sorlí JV, Ros E, Fitó M, Estruch R, Arós F, Fiol M, Lapetra J, Gómez-Gracia E, Serra-Majem L, Pintó X, Portolés O, Babio N, Castañer O, Ruiz-Canela M. American Heart Association's life simple 7 and the risk of atrial fibrillation in the PREDIMED study cohort. Nutr Metab Cardiovasc Dis 2023; 33:1144-1148. [PMID: 36958970 DOI: 10.1016/j.numecd.2023.02.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/22/2022] [Revised: 12/17/2022] [Accepted: 02/08/2023] [Indexed: 02/18/2023]
Abstract
BACKGROUND AND AIMS The American Heart Association proposed 7 ideal cardiovascular health metrics (Life's Simple 7 [LS7]) namely, not smoking, body mass index <25 kg/m2, healthy diet, moderate physical activity ≥150 min/week, total blood cholesterol <200 mg/dL, blood pressure <120/80 mmHg and fasting blood glucose <100 mg/dL. Our objective was to assess the association between these LS7 metrics and the incidence of atrial fibrillation (AF). METHODS AND RESULTS A total of 6,479 participants of the PREDIMED study were included. We calculated the participants' baseline LS7 index ranging 0-7 points to categorize them according to their adherence to these LS7 health metrics. Multivariable Cox regression models were used to estimate Hazard Ratios (HR) and their 95% Confidence Intervals (95% CI). After a median follow-up of 4.8 years, we identified 250 incident cases of AF. After adjusting for potential confounders, adherence to LS7 index was not associated with the incidence of AF (adjusted HR 0.90 [95% CI: 0.56-1.45] for highest vs. lowest LS7 categories). Body mass index <25 kg/m2 was the only health metric individually associated with a lower risk of AF (HR 0.36 [95% CI: 0.16-0.78]). CONCLUSIONS In a high cardiovascular risk Spanish population, adherence to American Heart Association's LS7 metrics was not associated with the risk of incident AF. CLINICAL TRIALS NUMBER ISRCTN35739639.
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Affiliation(s)
- Jesús Díaz-Gutiérrez
- Department of Cardiology, University Hospital Juan Ramón Jiménez, Huelva, Spain; Department of Preventive Medicine and Public Health, School of Medicine, University of Navarra, IdiSNA, Pamplona, Spain
| | - Miguel Ángel Martínez-González
- Department of Preventive Medicine and Public Health, School of Medicine, University of Navarra, IdiSNA, Pamplona, Spain; Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Department of Nutrition, Harvard TH Chan School of Public Health, Boston, MA, United States
| | - Alvaro Alonso
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, United States
| | - Estefanía Toledo
- Department of Preventive Medicine and Public Health, School of Medicine, University of Navarra, IdiSNA, Pamplona, Spain; Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Jordi Salas-Salvadó
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana. Reus, Spain; Institut d'Investigació Sanitària Pere Virgili (IISPV). Hospital Universitari San Joan de Reus. Reus, Spain
| | - Jose V Sorlí
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Emilio Ros
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Endocrinology & Nutrition Service, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clínic, University of Barcelona, Barcelona, Spain
| | - Montse Fitó
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Cardiovascular Risk and Nutrition (Regicor Study Group), Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
| | - Ramón Estruch
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Department of Internal Medicine, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Fernando Arós
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Department of Cardiology, University Hospital of Alava, Vitoria, Spain
| | - Miquel Fiol
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; lles Balears Health Research Institute (IdISBa), Hospital Son Espases, Palma de Mallorca, Spain
| | - José Lapetra
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Department of Family Medicine, Research Unit, Distrito Sanitario Atención Primaria Sevilla, Sevilla, Spain
| | - Enrique Gómez-Gracia
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Departament of Preventive Medicine, University of Málaga, Málaga, Spain
| | - Lluis Serra-Majem
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Research Institute of Biomedical and Health Sciences (IUIBS), University of Las Palmas de Gran Canaria & CHUIMI Canarian Health Service, Las Palmas, Spain
| | - Xavier Pintó
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Internal Medicine Department, Hospital Universitari de Bellvitge (IDIBELL), University of Barcelona, Barcelona, Spain
| | - Olga Portolés
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Nancy Babio
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana. Reus, Spain; Institut d'Investigació Sanitària Pere Virgili (IISPV). Hospital Universitari San Joan de Reus. Reus, Spain
| | - Olga Castañer
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Cardiovascular Risk and Nutrition (Regicor Study Group), Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
| | - Miguel Ruiz-Canela
- Department of Preventive Medicine and Public Health, School of Medicine, University of Navarra, IdiSNA, Pamplona, Spain; Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain.
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24
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Toledo E, Wittenbecher C, Razquin C, Ruiz-Canela M, Clish CB, Liang L, Alonso A, Hernández-Alonso P, Becerra-Tomás N, Arós-Borau F, Corella D, Ros E, Estruch R, García-Rodríguez A, Fitó M, Lapetra J, Fiol M, Alonso-Gomez ÁM, Serra-Majem L, Deik A, Salas-Salvadó J, Hu FB, Martínez-González MA. Plasma lipidome and risk of atrial fibrillation: results from the PREDIMED trial. J Physiol Biochem 2023; 79:355-364. [PMID: 37004634 PMCID: PMC10300169 DOI: 10.1007/s13105-023-00958-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2021] [Accepted: 03/16/2023] [Indexed: 04/04/2023]
Abstract
The potential role of the lipidome in atrial fibrillation (AF) development is still widely unknown. We aimed to assess the association between lipidome profiles of the Prevención con Dieta Mediterránea (PREDIMED) trial participants and incidence of AF. We conducted a nested case-control study (512 incident centrally adjudicated AF cases and 735 controls matched by age, sex, and center). Baseline plasma lipids were profiled using a Nexera X2 U-HPLC system coupled to an Exactive Plus orbitrap mass spectrometer. We estimated the association between 216 individual lipids and AF using multivariable conditional logistic regression and adjusted the p values for multiple testing. We also examined the joint association of lipid clusters with AF incidence. Hitherto, we estimated the lipidomics network, used machine learning to select important network-clusters and AF-predictive lipid patterns, and summarized the joint association of these lipid patterns weighted scores. Finally, we addressed the possible interaction by the randomized dietary intervention.Forty-one individual lipids were associated with AF at the nominal level (p < 0.05), but no longer after adjustment for multiple-testing. However, the network-based score identified with a robust data-driven lipid network showed a multivariable-adjusted ORper+1SD of 1.32 (95% confidence interval: 1.16-1.51; p < 0.001). The score included PC plasmalogens and PE plasmalogens, palmitoyl-EA, cholesterol, CE 16:0, PC 36:4;O, and TG 53:3. No interaction with the dietary intervention was found. A multilipid score, primarily made up of plasmalogens, was associated with an increased risk of AF. Future studies are needed to get further insights into the lipidome role on AF.Current Controlled Trials number, ISRCTN35739639.
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Affiliation(s)
- Estefania Toledo
- Department of Preventive Medicine and Public Health, Edificio de Investigación, University of Navarra, Planta 2, Calle Irunlarrea 1, 31008, Pamplona, Spain.
- IdiSNA, Navarra Institute for Health Research, Pamplona, Spain.
- CIBER Fisiopatología de La Obesidad Y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain.
| | - Clemens Wittenbecher
- SciLifeLab & Division of Food and Nutrition Science, Department of Life Sciences, Chalmers University of Technology, Gothenburg, Sweden
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
| | - Cristina Razquin
- Department of Preventive Medicine and Public Health, Edificio de Investigación, University of Navarra, Planta 2, Calle Irunlarrea 1, 31008, Pamplona, Spain
- IdiSNA, Navarra Institute for Health Research, Pamplona, Spain
- CIBER Fisiopatología de La Obesidad Y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Miguel Ruiz-Canela
- Department of Preventive Medicine and Public Health, Edificio de Investigación, University of Navarra, Planta 2, Calle Irunlarrea 1, 31008, Pamplona, Spain
- IdiSNA, Navarra Institute for Health Research, Pamplona, Spain
- CIBER Fisiopatología de La Obesidad Y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Clary B Clish
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Liming Liang
- Department of Biostatistics, Harvard TH Chan School of Public Health, Boston, MA, USA
- Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA, USA
| | - Alvaro Alonso
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Pablo Hernández-Alonso
- CIBER Fisiopatología de La Obesidad Y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Departament de Bioquímica I Biotecnologia, Universitat Rovira I Virgili, Unitat de Nutrició Humana, Reus, Spain
- Institut d'Investigació Sanitària Pere Virgili (IISPV), Hospital Universitari San Joan de Reus, Reus, Spain
- Unidad de Gestión Clínica de Endocrinología Y Nutrición del Hospital Virgen de La Victoria, Instituto de Investigación Biomédica de Málaga (IBIMA), Málaga, Spain
| | - Nerea Becerra-Tomás
- Departament de Bioquímica I Biotecnologia, Universitat Rovira I Virgili, Unitat de Nutrició Humana, Reus, Spain
- Institut d'Investigació Sanitària Pere Virgili (IISPV), Hospital Universitari San Joan de Reus, Reus, Spain
- Department of Preventive Medicine and Public Health, School of Medicine, University of Valencia, Valencia, Spain
| | - Fernando Arós-Borau
- CIBER Fisiopatología de La Obesidad Y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Bioaraba Health Research Institute Osakidetza Basque Health Service, Araba University Hospital University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain
| | - Dolores Corella
- CIBER Fisiopatología de La Obesidad Y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Preventive Medicine and Public Health, School of Medicine, University of Valencia, Valencia, Spain
| | - Emilio Ros
- CIBER Fisiopatología de La Obesidad Y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Endocrinology & Nutrition, Hospital Clinic, Barcelona, Spain
| | - Ramón Estruch
- CIBER Fisiopatología de La Obesidad Y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Internal Medicine, Institut d'Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain
| | | | - Montserrat Fitó
- CIBER Fisiopatología de La Obesidad Y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Cardiovascular Risk and Nutrition Group, Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
| | - José Lapetra
- CIBER Fisiopatología de La Obesidad Y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Family Medicine, Research Unit, Distrito Sanitario Atención Primaria Sevilla, 41013, Seville, Spain
| | - Miquel Fiol
- CIBER Fisiopatología de La Obesidad Y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- IdISBa. Health Research Institute of the Balearis Islands, Palma, Spain
| | - Ángel M Alonso-Gomez
- CIBER Fisiopatología de La Obesidad Y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Bioaraba Health Research Institute Osakidetza Basque Health Service, Araba University Hospital University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain
| | - Luis Serra-Majem
- CIBER Fisiopatología de La Obesidad Y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Research Institute of Biomedical and Health Sciences, University of Las Palmas de Gran Canaria, & Centro Hospitalario Universitario Insular Materno Infantil (CHUIMI) del Servicio Canario de Salud, Gobierno de Canarias, Las Palmas de Gran Canaria, Spain
| | - Amy Deik
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Jordi Salas-Salvadó
- CIBER Fisiopatología de La Obesidad Y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Departament de Bioquímica I Biotecnologia, Universitat Rovira I Virgili, Unitat de Nutrició Humana, Reus, Spain
- Institut d'Investigació Sanitària Pere Virgili (IISPV), Hospital Universitari San Joan de Reus, Reus, Spain
| | - Frank B Hu
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Channing Division for Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Miguel A Martínez-González
- Department of Preventive Medicine and Public Health, Edificio de Investigación, University of Navarra, Planta 2, Calle Irunlarrea 1, 31008, Pamplona, Spain
- IdiSNA, Navarra Institute for Health Research, Pamplona, Spain
- CIBER Fisiopatología de La Obesidad Y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
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Sanchis P, Prieto RM, Konieczna J, Grases F, Abete I, Salas-Salvadó J, Martín V, Ruiz-Canela M, Babio N, García-Gavilán JF, Goday A, Costa-Bauza A, Martínez JA, Romaguera D. Estimated Phytate Intake Is Associated with Bone Mineral Density in Mediterranean Postmenopausal Women. Nutrients 2023; 15:nu15071791. [PMID: 37049631 PMCID: PMC10097286 DOI: 10.3390/nu15071791] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2023] [Revised: 04/03/2023] [Accepted: 04/04/2023] [Indexed: 04/14/2023] Open
Abstract
The main objective of this work was to explore the association of dietary phytate intake with bone mineral density (BMD) in a Mediterranean population of postmenopausal women. For this purpose, a cross-sectional analysis of 561 women aged 55-75 years with overweight/obesity and metabolic syndrome from a Mediterranean area and with data on dual-energy X-ray absorptiometry (DXA) scans in femur and lumbar spine was performed. Estimated phytate intake was calculated using a validated food frequency questionnaire. Our results indicated that phytate intake was associated with BMD [β(95%CI) per each 25 mg/100 kcal] in femoral neck [0.023(0.060-0.040) g/cm2], femoral Ward's triangle [0.033(0.013-0.054) g/cm2], total femur [0.018(0.001-0.035) g/cm2], and all the analyzed lumbar spine sites [L1-L4: 0.033(0.007-0.059) g/cm2] after adjusting for potential confounders. The sensitivity analysis showed that phytate intake was directly associated with lumbar spine BMD in women younger than 66 years, with a body mass index higher than 32.6 kg/cm2 and without type 2 diabetes (all p-for interactions < 0.05). The overall results indicated that phytate, a substance present in food as cereals, legumes and nuts, was positively associated with BMD in Mediterranean postmenopausal women. Phytate may have a protective effect on bone resorption by adsorbing on the surfaces of HAP. Nevertheless, large, long-term, and randomized prospective clinical studies must be performed to assess the possible benefits of phytate consumption on BMD in postmenopausal women.
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Grants
- NIH 1R01DK127601 NIH HHS
- Advanced Research Grant 2014-2019; agreement #34091 European Research Council
- PI13/00673, PI13/00492, PI13/00272, PI13/01123, PI13/00462,PI13/00233, PI13/02184, PI13/00728, PI13/01090, PI13/01056, PI14/01722,PI14/00636, PI14/00618, PI14/00696, PI14/01206, PI14/01919,PI14/00853,PI14/01374, PI14/00972, PI14/00728, PI14/01471, PI16/00 Instituto de Salud Carlos III
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Affiliation(s)
- Pilar Sanchis
- Laboratory of Renal Lithiasis Research, University Institute of Health Science Research (IUNICS), Health Research Institute of the Balearic Islands (IdISBa), University of the Balearic Islands, 07122 Palma de Mallorca, Spain
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
| | - Rafael María Prieto
- Laboratory of Renal Lithiasis Research, University Institute of Health Science Research (IUNICS), Health Research Institute of the Balearic Islands (IdISBa), University of the Balearic Islands, 07122 Palma de Mallorca, Spain
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
| | - Jadwiga Konieczna
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
- Research Group on Nutritional Epidemiology & Cardiovascular Physiopathology (NUTRECOR), Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain
| | - Félix Grases
- Laboratory of Renal Lithiasis Research, University Institute of Health Science Research (IUNICS), Health Research Institute of the Balearic Islands (IdISBa), University of the Balearic Islands, 07122 Palma de Mallorca, Spain
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
| | - Itziar Abete
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
- Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, Navarra Institute for Health Research (IdiSNA), University of Navarra, 31008 Pamplona, Spain
| | - Jordi Salas-Salvadó
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
- Unitat de Nutrició Humana, Departament de Bioquímica i Biotecnologia, Universitat Rovira i Virgili, 43007 Tarragona, Spain
- Institut d'Investigació Pere Virgili (IISPV), 43204 Reus, Spain
| | - Vicente Martín
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
- Institute of Biomedicine (IBIOMED), University of León, 24071 León, Spain
| | - Miguel Ruiz-Canela
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
- Department of Preventive Medicine and Public Health, IdiSNA, University of Navarra, 31008 Pamplona, Spain
| | - Nancy Babio
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
- Unitat de Nutrició Humana, Departament de Bioquímica i Biotecnologia, Universitat Rovira i Virgili, 43007 Tarragona, Spain
- Institut d'Investigació Pere Virgili (IISPV), 43204 Reus, Spain
| | - Jesús Francisco García-Gavilán
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
- Unitat de Nutrició Humana, Departament de Bioquímica i Biotecnologia, Universitat Rovira i Virgili, 43007 Tarragona, Spain
- Institut d'Investigació Pere Virgili (IISPV), 43204 Reus, Spain
| | - Albert Goday
- Cardiovascular Risk and Nutrition Research Group, Hospital del Mar Medical Research Institute (IMIM), Department of Medicine, University of Barcelona, 08193 Barcelona, Spain
| | - Antonia Costa-Bauza
- Laboratory of Renal Lithiasis Research, University Institute of Health Science Research (IUNICS), Health Research Institute of the Balearic Islands (IdISBa), University of the Balearic Islands, 07122 Palma de Mallorca, Spain
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
| | - José Alfredo Martínez
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
- Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, Navarra Institute for Health Research (IdiSNA), University of Navarra, 31008 Pamplona, Spain
- Precision Nutrition and Cardiometabolic Health Program, IMDEA Food, CEI UAM + CSIC, 28049 Madrid, Spain
| | - Dora Romaguera
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
- Research Group on Nutritional Epidemiology & Cardiovascular Physiopathology (NUTRECOR), Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain
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Gayoso L, Goni L, de la O V, Domper J, C R, Ruiz-Canela M, Etxeberria U. An intensive culinary intervention programme to empower type 2 diabetic patients in cooking skills: The SUKALMENA pilot study. Int J Gastron Food Sci 2023. [DOI: 10.1016/j.ijgfs.2023.100721] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/09/2023]
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27
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Henn M, Babio N, Romaguera D, Vázquez-Ruiz Z, Konieczna J, Vioque J, Torres-Collado L, Razquin C, Buil-Cosiales P, Fitó M, Schröder H, Hu FB, Abete I, Zulet MÁ, Fernández-Villa T, Martín V, Estruch R, Vidal J, Paz-Graniel I, Martínez JA, Salas-Salvadó J, Martínez-González MA, Ruiz-Canela M. Increase from low to moderate, but not high, caffeinated coffee consumption is associated with favorable changes in body fat. Clin Nutr 2023; 42:477-485. [PMID: 36870243 DOI: 10.1016/j.clnu.2023.02.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2022] [Revised: 12/07/2022] [Accepted: 02/07/2023] [Indexed: 02/13/2023]
Abstract
BACKGROUND & AIMS Higher consumption of coffee and caffeine has been linked to less weight gain and lower body mass index in prospective cohort studies. The aim of the study was to longitudinally assess the association of changes in coffee and caffeine intake with changes in fat tissue, in particular, visceral adipose tissue (VAT) using dual x-ray absorptiometry (DXA). METHODS In the setting of a large, randomized trial of Mediterranean diet and physical activity intervention, we evaluated 1483 participants with metabolic syndrome (MetS). Repeated measurements of coffee consumption from validated food frequency questionnaires (FFQ) and DXA measurements of adipose tissue were collected at baseline, 6 months, 12 months and 3 years of follow-up. DXA-derived measurements of total and regional adipose tissue expressed as % of total body weight were transformed into sex-specific z-scores. Linear multilevel mixed-effect models were used to investigate the relationship between changes in coffee consumption and corresponding concurrent changes in fat tissue during a 3-year follow-up. RESULTS After adjustment for intervention group, and other potential confounders, an increase in caffeinated coffee consumption from no or infrequent consumption (≤3 cups/month) to moderate consumption (1-7 cups/week) was associated with reductions in total body fat (Δ z-score: -0.06; 95% CI: -0.11 to -0.02), trunk fat (Δ z-score: -0.07; 95% CI: -0.12 to -0.02), and VAT (Δ z-score: -0.07; 95% CI: -0.13 to -0.01). Neither changes from no or infrequent consumption to high levels of caffeinated coffee consumption (>1 cup/day) nor any changes in decaffeinated coffee consumption showed significant associations with changes in DXA measures. CONCLUSIONS Moderate changes in the consumption of caffeinated coffee, but not changes to high consumption, were associated with reductions in total body fat, trunk fat and VAT in a Mediterranean cohort with MetS. Decaffeinated coffee was not linked to adiposity indicators. Moderate consumption of caffeinated coffee may be part of a weight management strategy. TRIAL REGISTRATION The trial was registered at the International Standard Randomized Controlled Trial (ISRCTN: http://www.isrctn.com/ISRCTN89898870) with number 89898870 and registration date of 24 July 2014, retrospectively registered.
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Affiliation(s)
- Matthias Henn
- University of Navarra- IdiSNA (Instituto de Investigacion Sanitaria de Navarra), Department of Preventive Medicine and Public Health, Pamplona, Spain; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
| | - Nancy Babio
- CIBER Fisiopatología de La Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain; Universitat Rovira i Virgili, Institut D'Investigació Sanitària Pere i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana, 43201 Reus, Spain
| | - Dora Romaguera
- CIBER Fisiopatología de La Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain; Research Group on Nutritional Epidemiology & Cardiovascular Physiopathology (NUTRECOR), Health Research Institute of the Balearic Islands (IdISBa), University Hospital Son Espases (HUSE), Palma de Mallorca, Spain
| | - Zenaida Vázquez-Ruiz
- University of Navarra- IdiSNA (Instituto de Investigacion Sanitaria de Navarra), Department of Preventive Medicine and Public Health, Pamplona, Spain; CIBER Fisiopatología de La Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain
| | - Jadwiga Konieczna
- CIBER Fisiopatología de La Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain; Research Group on Nutritional Epidemiology & Cardiovascular Physiopathology (NUTRECOR), Health Research Institute of the Balearic Islands (IdISBa), University Hospital Son Espases (HUSE), Palma de Mallorca, Spain
| | - Jesús Vioque
- Instituto de Investigación Sanitaria y Biomédica de Alicante, ISABIAL-UMH, Alicante, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Laura Torres-Collado
- Instituto de Investigación Sanitaria y Biomédica de Alicante, ISABIAL-UMH, Alicante, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Cristina Razquin
- University of Navarra- IdiSNA (Instituto de Investigacion Sanitaria de Navarra), Department of Preventive Medicine and Public Health, Pamplona, Spain; CIBER Fisiopatología de La Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain
| | - Pilar Buil-Cosiales
- University of Navarra- IdiSNA (Instituto de Investigacion Sanitaria de Navarra), Department of Preventive Medicine and Public Health, Pamplona, Spain; CIBER Fisiopatología de La Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain; Servicios de Atención Primaria, Servicio Navarro de Salud, Osasunbidea, Pamplona, Spain
| | - Montserrat Fitó
- CIBER Fisiopatología de La Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain; Cardiovascular Risk and Nutrition Research Group, Hospital Del Mar Medical Research Institute (IMIM), Department of Medicine, University of Barcelona, Barcelona, Spain
| | - Helmut Schröder
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Cardiovascular Risk and Nutrition Research Group, Hospital Del Mar Medical Research Institute (IMIM), Department of Medicine, University of Barcelona, Barcelona, Spain
| | - Frank B Hu
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Itziar Abete
- CIBER Fisiopatología de La Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain; Department of Nutrition, Food Sciences, And Physiology, Center for Nutrition Research, Pamplona, University of Navarra, Navarra Institute for Health Research (IdiSNA), Pamplona, Spain
| | - M Ángeles Zulet
- CIBER Fisiopatología de La Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain; Department of Nutrition, Food Sciences, And Physiology, Center for Nutrition Research, Pamplona, University of Navarra, Navarra Institute for Health Research (IdiSNA), Pamplona, Spain
| | - Tania Fernández-Villa
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; The Research Group in Gene - Environment and Health Interactions (GIIGAS) / Institute of Biomedicine (IBIOMED), University of León, León, Spain
| | - Vicente Martín
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; The Research Group in Gene - Environment and Health Interactions (GIIGAS) / Institute of Biomedicine (IBIOMED), University of León, León, Spain
| | - Ramón Estruch
- CIBER Fisiopatología de La Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain; Department of Internal Medicine, IDIBAPS, Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Josep Vidal
- CIBER Diabetes y Enfermedades Metabólicas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Department of Endocrinology, Institut D'Investigacions Biomédiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Indira Paz-Graniel
- CIBER Fisiopatología de La Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain; Universitat Rovira i Virgili, Institut D'Investigació Sanitària Pere i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana, 43201 Reus, Spain
| | - J Alfredo Martínez
- CIBER Fisiopatología de La Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain; Department of Nutrition, Food Sciences, And Physiology, Center for Nutrition Research, Pamplona, University of Navarra, Navarra Institute for Health Research (IdiSNA), Pamplona, Spain; Precision Nutrition and Cardiometabolic Health Program, IMDEA Food, CEI UAM + CSIC, Madrid, Spain
| | - Jordi Salas-Salvadó
- CIBER Fisiopatología de La Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain; Universitat Rovira i Virgili, Institut D'Investigació Sanitària Pere i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana, 43201 Reus, Spain
| | - Miguel A Martínez-González
- University of Navarra- IdiSNA (Instituto de Investigacion Sanitaria de Navarra), Department of Preventive Medicine and Public Health, Pamplona, Spain; CIBER Fisiopatología de La Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain
| | - Miguel Ruiz-Canela
- University of Navarra- IdiSNA (Instituto de Investigacion Sanitaria de Navarra), Department of Preventive Medicine and Public Health, Pamplona, Spain; CIBER Fisiopatología de La Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain.
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28
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Santos JL, Ruiz-Canela M, Razquin C, Clish CB, Guasch-Ferré M, Babio N, Corella D, Gómez-Gracia E, Fiol M, Estruch R, Lapetra J, Fitó M, Aros F, Serra-Majem L, Liang L, Martínez MÁ, Toledo E, Salas-Salvadó J, Hu FB, Martínez-González MA. Circulating citric acid cycle metabolites and risk of cardiovascular disease in the PREDIMED study. Nutr Metab Cardiovasc Dis 2023; 33:835-843. [PMID: 36739229 DOI: 10.1016/j.numecd.2023.01.002] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/16/2022] [Revised: 11/03/2022] [Accepted: 01/03/2023] [Indexed: 01/13/2023]
Abstract
BACKGROUND AND AIM Plasma citric acid cycle (CAC) metabolites might be likely related to cardiovascular disease (CVD). However, studies assessing the longitudinal associations between circulating CAC-related metabolites and CVD risk are lacking. The aim of this study was to evaluate the association of baseline and 1-year levels of plasma CAC-related metabolites with CVD incidence (a composite of myocardial infarction, stroke or cardiovascular death), and their interaction with Mediterranean diet interventions. METHODS AND RESULTS Case-cohort study from the PREDIMED trial involving participants aged 55-80 years at high cardiovascular risk, allocated to MedDiets or control diet. A subcohort of 791 participants was selected at baseline, and a total of 231 cases were identified after a median follow-up of 4.8 years. Nine plasma CAC-related metabolites (pyruvate, lactate, citrate, aconitate, isocitrate, 2-hydroxyglutarate, fumarate, malate and succinate) were measured using liquid chromatography-tandem mass spectrometry. Weighted Cox multiple regression was used to calculate hazard ratios (HRs). Baseline fasting plasma levels of 3 metabolites were associated with higher CVD risk, with HRs (for each standard deviation, 1-SD) of 1.46 (95%CI:1.20-1.78) for 2-hydroxyglutarate, 1.33 (95%CI:1.12-1.58) for fumarate and 1.47 (95%CI:1.21-1.78) for malate (p of linear trend <0.001 for all). A higher risk of CVD was also found for a 1-SD increment of a combined score of these 3 metabolites (HR = 1.60; 95%CI: 1.32-1.94, p trend <0.001). This result was replicated using plasma measurements after one-year. No interactions were detected with the nutritional intervention. CONCLUSION Plasma 2-hydroxyglutarate, fumarate and malate levels were prospectively associated with increased cardiovascular risk. CLINICAL TRIAL NUMBER ISRCTN35739639.
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Affiliation(s)
- José L Santos
- University of Navarra, Department of Preventive Medicine and Public Health, IdiSNA (Health Research Institute of Navarra), Pamplona, Spain; Department of Nutrition, Diabetes and Metabolism, School of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Miguel Ruiz-Canela
- University of Navarra, Department of Preventive Medicine and Public Health, IdiSNA (Health Research Institute of Navarra), Pamplona, Spain.
| | - Cristina Razquin
- University of Navarra, Department of Preventive Medicine and Public Health, IdiSNA (Health Research Institute of Navarra), Pamplona, Spain
| | - Clary B Clish
- Broad Institute of MIT and Harvard University, Cambridge, MA, USA
| | - Marta Guasch-Ferré
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Nancy Babio
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnología, Unitat de Nutrició, Reus, Spain; University Hospital of Sant Joan de Reus, Nutrition Unit, Reus, Spain; Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
| | - Dolores Corella
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | | | - Miquel Fiol
- Health Research Institute of the Balearic Islands (IdISBa), Palma de Mallorca, Spain
| | - Ramón Estruch
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Department of Internal Medicine, Biomedical Research Institute August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - José Lapetra
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Centro de Salud San Pablo, Servicios de Atención Primaria, Servicio Andaluz de Salud, Sevilla, Spain
| | - Montserrat Fitó
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Cardiovascular and Nutrition Research Group, Hospital del Mar Research Institute (IMIM), Barcelona, Spain
| | | | - Lluis Serra-Majem
- Research Institute of Biomedical and Health Sciences (IUIBS), University of Las Palmas de Gran Canaria and Service of Preventive Medicine, Complejo Hospitalario Universitario Insular Materno Infantil (CHUIMI), Canary Health Service, Las Palmas de Gran Canaria Spain
| | - Liming Liang
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - María Ángeles Martínez
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnología, Unitat de Nutrició, Reus, Spain; Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
| | - Estefanía Toledo
- University of Navarra, Department of Preventive Medicine and Public Health, IdiSNA (Health Research Institute of Navarra), Pamplona, Spain; Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
| | - Jordi Salas-Salvadó
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnología, Unitat de Nutrició, Reus, Spain; University Hospital of Sant Joan de Reus, Nutrition Unit, Reus, Spain; Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
| | - Frank B Hu
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Miguel A Martínez-González
- University of Navarra, Department of Preventive Medicine and Public Health, IdiSNA (Health Research Institute of Navarra), Pamplona, Spain; Broad Institute of MIT and Harvard University, Cambridge, MA, USA; Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
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Arancibia-Riveros C, Domínguez-López I, Tresserra-Rimbau A, Guo X, Estruch R, Martínez-González MÁ, Fitó M, Ros E, Ruiz-Canela M, Lamuela-Raventós RM. Total urinary polyphenol excretion: a biomarker of an anti-inflammatory diet and metabolic syndrome status. Am J Clin Nutr 2023; 117:814-822. [PMID: 37019541 DOI: 10.1016/j.ajcnut.2022.12.016] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Revised: 12/20/2022] [Accepted: 12/22/2022] [Indexed: 04/05/2023] Open
Abstract
BACKGROUND Chronic inflammation is associated with noncommunicable diseases, including obesity, metabolic syndrome (MetS), and CVDs. The Mediterranean diet has been shown to have strong anti-inflammatory effects, attributed in part to the polyphenol richness of many of its components. OBJECTIVES This study aimed to assess the value of polyphenols as a urinary biomarker of an anti-inflammatory diet and their influence on MetS status. METHODS A longitudinal analysis was performed in Spain considering 543 participants with high CVD risk in a PREDIMED study. Approximately 52% of the participants were women and 48% were men with a mean age of 67.5 (5.9) y. Total polyphenol excretion (TPE) in urine was determined at baseline and 5 y of intervention using a validated Folin-Ciocalteu spectrophotometric method, and the dietary inflammatory index (DII) was calculated from a validated 137-item food-frequency questionnaire. Three categories were built according to tertiles of change in the DII score. Multivariable linear regression analyses were performed to assess the association of changes in TPE with changes in the DII scores and with MetS status at 5 y. RESULTS Tertiles 2 and 3 compared with tertile 1 presented a lower anti-inflammatory potential of the diet and were inversely associated with TPE in women [-0.30 mg gallic acid equivalent (GAE)/g creatinine; 95% CI: -0.46, -0.15; P value = 0.006 and -0.29 mg GAE/g creatinine; 95% CI: -0.43, -0.15; P value = 0.005], respectively. The mean changes in TPE were 7.9 (56.1) mg GAE/g creatinine in women and 7.7 (48.2) mg GAE/g creatinine in men. In addition, TPE was inversely associated with changes in MetS status [-0.06 (-0.09; -0.02), P value = 0.009] in both men and women. CONCLUSIONS Urinary polyphenols may be a potential biomarker of anti-inflammatory diet consumption in women and are prospectively associated with improvement in MetS.
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Razquin C, Ruiz-Canela M, Wernitz A, Toledo E, Corella D, Alonso-Gómez Á, Fitó M, Gómez-Gracia E, Estruch R, Fiol M, Lapetra J, Serra-Majem L, Ros E, Arós F, Salas-Salvadó J, Schulze MB, Martinez-Gonzalez MA. Effects of Supplemented Mediterranean Diets on Plasma-Phospholipid Fatty Acid Profiles and Risk of Cardiovascular Disease after 1 Year of Intervention in the PREDIMED Trial. Clin Chem 2023; 69:283-294. [PMID: 36683466 DOI: 10.1093/clinchem/hvac221] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2022] [Accepted: 11/09/2022] [Indexed: 01/24/2023]
Abstract
BACKGROUND Plasma fatty acids (FAs) have been associated with cardiovascular disease (CVD) risk. Diet and endogenous metabolism influence the FA profile of the plasma phospholipid (PL) fraction. In the PREDIMED trial, we examined 1-year changes in the FA profile of plasma PL according to a nutritional intervention with Mediterranean diets, either supplemented with extra-virgin olive oil (MedDiet + EVOO) or mixed nuts (MedDiet + nuts), in a high cardiovascular risk population. We also analyzed if 1-year changes in PL FAs were associated with subsequent cardiovascular risk. METHODS We included 779 participants in our case-cohort study: 185 incident cases and 594 participants in the subcohort (including 31 overlapping cases). The end point was the incidence of CVD. We measured the FAs of plasma PL at baseline and after 1 year of intervention. RESULTS MedDiet + EVOO increased C17:0 and C20:3n9 in linear regression models [β coefficientperSD : 0.215 (95% CI, 0.032-0.399) and 0.271 (0.107-0.434), respectively] and decreased 16:1n7 and C22:4n6 [βperSD: -0.239 (95% CI, -0.416 to -0.061) and -0.287 (95% CI, -0.460 to -0.113), respectively] vs the control group. MedDiet + nuts increased C18:3n3 [βperSD: 0.382 (95% CI, 0.225 - 0.539)], C18:2n6 [βper SD: 0.250 (95% CI, 0.073 - 0.428)], C18:0 [βperSD: 0.268 (95% CI, 0.085-0.452)], and C22:0 [βper SD: 0.216 (95% CI, 0.031-0.402)]; and decreased the sum of six n6 FAs [βper SD: -0.147 (95% CI, -0.268 to -0.027)] vs the control group. The 1-year increase in C18:2n6 was inversely associated with the subsequent CVD risk (HRperSD: 0.64 (95% CI, 0.44-0.92)). CONCLUSIONS MedDiet interventions changed n6 FAs and C16:1n7c; other changes were specific for each group: MedDiet + EVOO increased C17:0 and C20:3n9, and MedDiet + Nuts C18:3n3, C18:2n6, C18:0, and C22:0 FAs.
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Affiliation(s)
- Cristina Razquin
- Department of Preventive Medicine and Public Health, University of Navarra, IdiSNA, Pamplona, Spain
- Centro de Investigación Biomédica En Red (CIBER), M.P. Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
| | - Miguel Ruiz-Canela
- Department of Preventive Medicine and Public Health, University of Navarra, IdiSNA, Pamplona, Spain
- Centro de Investigación Biomédica En Red (CIBER), M.P. Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
| | - Andreas Wernitz
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
| | - Estefania Toledo
- Department of Preventive Medicine and Public Health, University of Navarra, IdiSNA, Pamplona, Spain
- Centro de Investigación Biomédica En Red (CIBER), M.P. Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
| | - Dolores Corella
- Centro de Investigación Biomédica En Red (CIBER), M.P. Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Department of Preventive Medicine, Universidad de Valencia, Valencia, Spain
| | - Ángel Alonso-Gómez
- Centro de Investigación Biomédica En Red (CIBER), M.P. Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Department of Cardiology, Hospital Universitario de Álava, Vitoria, Spain
| | - Montse Fitó
- Centro de Investigación Biomédica En Red (CIBER), M.P. Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Unit of Cardiovascular Risk and Nutrition, Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
| | - Enrique Gómez-Gracia
- Centro de Investigación Biomédica En Red (CIBER), M.P. Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Department of Endocrinology, Virgen de la Victoria Hospital, Biomedical Research Institute of Málaga, University of Málaga, Málaga, Spain
| | - Ramón Estruch
- Centro de Investigación Biomédica En Red (CIBER), M.P. Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Department of Internal Medicine, Hospital Clinic, Institut d'Investigacions Biomèdiques Augist Pi i Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain
| | - Miquel Fiol
- Centro de Investigación Biomédica En Red (CIBER), M.P. Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Health Research Institute of the Balearic Islands (IdISBa), Hospital Son Espases, Palma de Mallorca, Spain
| | - José Lapetra
- Centro de Investigación Biomédica En Red (CIBER), M.P. Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Department of Family Medicine-Research Unit, Distrito Sanitario Atención Primaria Sevilla, Sevilla, Spain
| | - Lluis Serra-Majem
- Centro de Investigación Biomédica En Red (CIBER), M.P. Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Instituto de Investigaciones Biomédicas y Sanitarias, Universidad de Las Palmas de Gran Canaria, Las Palmas, Spain
| | - Emilio Ros
- Centro de Investigación Biomédica En Red (CIBER), M.P. Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Lipid Clinic, Department of Endocrinology and Nutrition, Agust Pi i Sunyer Biomedical Research Institute (IDIBAPS), Hospital Clínic, University of Barcelona, Barcelona, Spain
| | - Fernando Arós
- Centro de Investigación Biomédica En Red (CIBER), M.P. Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Department of Cardiology, Hospital Universitario de Álava, Vitoria, Spain
| | - Jordi Salas-Salvadó
- Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
- Centro de Investigación Biomédica En Red (CIBER), M.P. Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Unitat de Nutrició Humana, Departament de Bioquimica i Biotecnologia, Universitat Rovira i Virgili, Reus, Spain
| | - Matthias B Schulze
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
- Unit of Cardiovascular Risk and Nutrition, German Center for Diabetes Research (DZD), Neuherberg, Germany
- Institute of Nutritional Science, University of Potsdam, Potsdam, Germany
| | - Miguel A Martinez-Gonzalez
- Department of Preventive Medicine and Public Health, University of Navarra, IdiSNA, Pamplona, Spain
- Centro de Investigación Biomédica En Red (CIBER), M.P. Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Department of Nutrition, Harvard TH Chan School of Public Health, Boston, USA
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Henn M, Babio N, Maria R, Vázquez-Ruiz Z, Konieczna J, Vioque J, Torres-Collado L, Razquin C, Buil-Cosiales P, Fitó M, Schröder H, Hu F, Abete I, Zulet MDLÁ, Fernández-Villa T, Martín V, Estruch R, Vidal J, Paz-Graniel I, Martínez JA, Salas-Salvadó J, Martínez-González MA, Ruiz-Canela M. Abstract P622: Increase From Low to Moderate Consumption of Caffeinated Coffee is Associated With Favorable Changes in Body Fat. Circulation 2023. [DOI: 10.1161/circ.147.suppl_1.p622] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/16/2023]
Abstract
Introduction:
Higher consumption of coffee and caffeine has been linked to less weight gain and lower body mass index in prospective cohort studies, usually with exposure assessment limited to baseline values. As BMI is a proxy for adiposity but does not capture fat tissue or its metabolically relevant distribution, precise measurements of distinct adipose tissues are needed, so the cardiometabolic impact of an anti-obesity effect can be assessed.
Hypothesis:
We assessed the hypothesis that an increase in coffee consumption is associated with a reduction in body fat, in particular with trunk fat and visceral adipose tissue (VAT).
Methods:
In the setting of a large, randomized trial of Mediterranean diet and physical activity intervention, we evaluated 1483 participants with metabolic syndrome. Changes in the consumption of caffeinated and decaffeinated coffee were derived from validated food frequency questionnaires at baseline, 6 months and yearly during follow-up. Fat tissue was measured with dual x-ray absorptiometry at baseline and after 6, 12 months and three years. Linear multilevel mixed effect models were used to investigate the relationship between changes in coffee consumption and corresponding concurrent changes in fat tissue over three years.
Results:
After adjustment for intervention group, and other potential confounders, an increase in caffeinated coffee consumption from no or infrequent consumption (≤ 3 cups/ month) to moderate consumption (1-7 cups/week) was associated with reductions in total body fat (Δ z-score: -0.06; 95 % CI: -0.11 to -0.02), trunk fat (Δ z-score: -0.07; 95 % CI: -0.12 to -0.02), and VAT (Δ z-score: -0.07; 95 % CI: -0.13 to -0.01). However, changes to even higher levels (> 1 cup/day) showed no significant association.
Conclusions:
Moderate consumption of caffeinated coffee, but not high consumption, was associated with reductions in total body fat, trunk fat and VAT in a Mediterranean cohort with metabolic syndrome. Decaffeinated coffee was not linked to adiposity indicators. In conclusion, moderate consumption of caffeinated coffee may be part of a weight management strategy.
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Affiliation(s)
| | - Nancy Babio
- Universitat Rovira i Virgili, Institut d’Investigació Sanitària Pere i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana, Reus, Spain
| | - Romaguera Maria
- Health Rsch Institute of the Balearic Islands (IdISBa), Univ Hosp Son Espases (HUSE), Palma de Mallorca, Spain
| | - Zenaida Vázquez-Ruiz
- Univ of Navarra- IdiSNA (Instituto de Investigacion Sanitaria de Navarra), Dept of Preventive Medicine and Public Health, Pamplona, Spain
| | - Jadwiga Konieczna
- Health Rsch Institute of the Balearic Islands (IdISBa), Univ Hosp Son Espases (HUSE), Palma de Mallorca, Spain
| | - Jesús Vioque
- Instituto de Investigación Sanitaria y Biomédica de Alicante, ISABIAL-UMH, Alicante, Spain
| | - Laura Torres-Collado
- Instituto de Investigación Sanitaria y Biomédica de Alicante, ISABIAL-UMH, Alicante, Spain
| | - Cristina Razquin
- Univ of Navarra- IdiSNA (Instituto de Investigacion Sanitaria de Navarra), Dept of Preventive Medicine and Public Health, Pamplona, Spain
| | - Pilar Buil-Cosiales
- Univ of Navarra- IdiSNA (Instituto de Investigacion Sanitaria de Navarra), Dept of Preventive Medicine and Public Health, Pamplona, Spain
| | - Montserrat Fitó
- Hosp del Mar Med Rsch Institute (IMIM), Dept of Medicine, Univ of Barcelona, Barcelona, Spain
| | - Helmut Schröder
- Hosp del Mar Med Rsch Institute (IMIM), Dept of Medicine, Univ of Barcelona, Barcelona, Spain
| | - Frank Hu
- Harvard Sch of Public Health, Boston, MA
| | - Itziar Abete
- Servicios de Atención Primaria. Servicio Navarro de Salud. Osasunbidea, Pamplona, Spain
| | - Maria de los Ángeles Zulet
- Univ of Navarra- IdiSNA (Instituto de Investigacion Sanitaria de Navarra), Dept of Preventive Medicine and Public Health, Pamplona, Spain
| | | | - Vicente Martín
- Institute of Biomedicine (IBIOMED), Univ of León, León, Spain
| | - Ramón Estruch
- Dept of Internal Medicine, IDIBAPS, Hosp Clinic, Univ of Barcelona, Barcelona, Spain
| | - Josep Vidal
- Dept of Endocrinology, Institut d'Investigacions Biomédiques August Pi Sunyer (IDIBAPS), Hosp Clinic, Univ of Barcelona, Barcelona, Spain
| | - Indira Paz-Graniel
- Universitat Rovira i Virgili, Institut d’Investigació Sanitària Pere i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana, Reus, Spain
| | - J. Alfredo Martínez
- Dept of Nutrition, Food Sciences, and Physiology, Cntr for Nutrition Rsch, Pamplona, Univ of Navarra; Navarra Institute for Health Rsch (IdiSNA), Pamplona, Spain
| | - Jordi Salas-Salvadó
- Universitat Rovira i Virgili, Institut d’Investigació Sanitària Pere i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana, Reus, Spain
| | - Miguel A. Martínez-González
- Univ of Navarra- IdiSNA (Instituto de Investigacion Sanitaria de Navarra), Dept of Preventive Medicine and Public Health, Pamplona, Spain
| | - Miguel Ruiz-Canela
- Univ of Navarra- IdiSNA (Instituto de Investigacion Sanitaria de Navarra), Dept of Preventive Medicine and Public Health, Pamplona, Spain
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Perez-Araluce R, Bes-Rastrollo M, Martínez-González MÁ, Toledo E, Ruiz-Canela M, Barbería-Latasa M, Gea A. Effect of Binge-Drinking on Quality of Life in the 'Seguimiento Universidad de Navarra' (SUN) Cohort. Nutrients 2023; 15:nu15051072. [PMID: 36904072 PMCID: PMC10004732 DOI: 10.3390/nu15051072] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Revised: 02/09/2023] [Accepted: 02/14/2023] [Indexed: 02/25/2023] Open
Abstract
BACKGROUND Binge-drinking is one of the alcohol drinking patterns with the worst health consequences. Nonetheless, binge-drinking is highly prevalent. The perceived benefits that motivate it are ultimately related to subjective well-being. In this context, we analyzed the relationship between binge-drinking and quality of life. METHODS We evaluated 8992 participants of the SUN cohort. We classified as binge-drinkers those who reported consuming six or more drinks on at least one occasion the year before recruitment (n = 3075). We fitted multivariable logistic regression models to calculate the odds ratios (ORs) of a worse physical and mental quality of life, measured with the validated SF-36 questionnaire at 8 years of follow-up (cut-off point = P75 or highest score). RESULTS Binge-drinking was associated with greater odds of having a worse mental quality of life, even adjusting for quality of life at 4 years of follow-up, used as an approximation to a baseline measure (OR = 1.22 (1.07-1.38)). This value was mainly due to the effects on vitality (OR = 1.17 (1.01-1.34)) and mental health (OR = 1.22 (1.07-1.39)). CONCLUSIONS Binge-drinking may lead to poorer mental quality of life; therefore, binge-drinking for enhancement purposes does not seem to be justified by this effect.
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Affiliation(s)
- Rafael Perez-Araluce
- Department of Preventive Medicine and Public Health, University of Navarra, 31008 Pamplona, Spain
- Instituto de Investigación Sanitaria de Navarra (IdiSNA), Navarra Institute for Health Research, 31008 Pamplona, Spain
| | - Maira Bes-Rastrollo
- Department of Preventive Medicine and Public Health, University of Navarra, 31008 Pamplona, Spain
- Instituto de Investigación Sanitaria de Navarra (IdiSNA), Navarra Institute for Health Research, 31008 Pamplona, Spain
- Biomedical Research Network Center for Pathophysiology of Obesity and Nutrition (CIBEROBN), Carlos III Health Institute, 28029 Madrid, Spain
- Correspondence:
| | - Miguel Ángel Martínez-González
- Department of Preventive Medicine and Public Health, University of Navarra, 31008 Pamplona, Spain
- Instituto de Investigación Sanitaria de Navarra (IdiSNA), Navarra Institute for Health Research, 31008 Pamplona, Spain
- Biomedical Research Network Center for Pathophysiology of Obesity and Nutrition (CIBEROBN), Carlos III Health Institute, 28029 Madrid, Spain
| | - Estefanía Toledo
- Department of Preventive Medicine and Public Health, University of Navarra, 31008 Pamplona, Spain
- Instituto de Investigación Sanitaria de Navarra (IdiSNA), Navarra Institute for Health Research, 31008 Pamplona, Spain
- Biomedical Research Network Center for Pathophysiology of Obesity and Nutrition (CIBEROBN), Carlos III Health Institute, 28029 Madrid, Spain
| | - Miguel Ruiz-Canela
- Department of Preventive Medicine and Public Health, University of Navarra, 31008 Pamplona, Spain
- Instituto de Investigación Sanitaria de Navarra (IdiSNA), Navarra Institute for Health Research, 31008 Pamplona, Spain
- Biomedical Research Network Center for Pathophysiology of Obesity and Nutrition (CIBEROBN), Carlos III Health Institute, 28029 Madrid, Spain
| | - María Barbería-Latasa
- Department of Preventive Medicine and Public Health, University of Navarra, 31008 Pamplona, Spain
- Instituto de Investigación Sanitaria de Navarra (IdiSNA), Navarra Institute for Health Research, 31008 Pamplona, Spain
| | - Alfredo Gea
- Department of Preventive Medicine and Public Health, University of Navarra, 31008 Pamplona, Spain
- Instituto de Investigación Sanitaria de Navarra (IdiSNA), Navarra Institute for Health Research, 31008 Pamplona, Spain
- Biomedical Research Network Center for Pathophysiology of Obesity and Nutrition (CIBEROBN), Carlos III Health Institute, 28029 Madrid, Spain
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Talavera-Rodriguez I, Fernandez-Lazaro CI, Hernández-Ruiz Á, Hershey MS, Galarregui C, Sotos-Prieto M, de la Fuente-Arrillaga C, Martínez-González MÁ, Ruiz-Canela M. Association between an oxidative balance score and mortality: a prospective analysis in the SUN cohort. Eur J Nutr 2023; 62:1667-1680. [PMID: 36781422 DOI: 10.1007/s00394-023-03099-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Accepted: 01/20/2023] [Indexed: 02/15/2023]
Abstract
PURPOSE We aimed to prospectively investigate the association of an overall oxidative balance score (OBS) with all-cause death and cause-specific mortality among participants in the Seguimiento Universidad de Navarra (SUN) Study, a Mediterranean cohort of Spanish graduates. METHODS Using baseline information on 12 a priori selected dietary and non-dietary lifestyle pro- and antioxidants exposures-vitamins C and E, β-carotenes, selenium, zinc, heme iron, polyphenols, total antioxidant capacity, body mass index, alcohol, smoking, and physical activity-we constructed an equally weighted OBS categorized into quartiles, with higher scores representing greater antioxidant balance. Cox proportional hazards models were fitted to evaluate the association between the OBS and mortality. RESULTS A total of 18,561 participants (mean [SD] age, 38.5 [12.4] years; 40.8% males) were included in the analysis. During a median follow-up of 12.2 years (interquartile range 8.3-14.9), 421 deaths were identified, including 80 deaths from cardiovascular disease (CVD), 215 from cancer, and 126 from other causes. After adjustment for potential confounders, the hazard ratios and 95% confidence interval (CIs) between the highest quartile (predominance of antioxidants) vs. the lowest quartile (reference category) were 0.35 (95% CI 0.22-0.54, P-trend < 0.001) for all-cause mortality, 0.18 (95% CI 0.06-0.51, P-trend = 0.001) for CVD mortality, 0.35 (95% CI 0.19-0.65, P-trend = 0.002) for cancer mortality, and 0.45 (95% CI 0.20-1.02, P-trend = 0.054) for other-cause mortality. CONCLUSION Our findings suggest a strong inverse association between the OBS and all-cause, CVD, and cancer mortality. Individuals exposed to both antioxidant dietary and lifestyle factors may potentially experience the lowest mortality risk. STUDY REGISTRY NUMBER Dynamic Mediterranean Prospective Cohort: the SUN Project; NCT02669602. https://clinicaltrials.gov/ct2/show/NCT02669602 . https://proyectosun.es.
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Affiliation(s)
- Irene Talavera-Rodriguez
- Department of Preventive Medicine and Public Health, School of Medicine, University of Navarra, C/ Irunlarrea, 31008, Pamplona, Spain
| | - Cesar I Fernandez-Lazaro
- Department of Preventive Medicine and Public Health, School of Medicine, University of Navarra, C/ Irunlarrea, 31008, Pamplona, Spain.,IdisNA, Navarra Institute for Health Research, 31008, Pamplona, Spain
| | | | - Maria S Hershey
- Department of Preventive Medicine and Public Health, School of Medicine, University of Navarra, C/ Irunlarrea, 31008, Pamplona, Spain.,IdisNA, Navarra Institute for Health Research, 31008, Pamplona, Spain.,Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA
| | - Cristina Galarregui
- Department of Nutrition, Food Sciences and Physiology and Centre for Nutrition Research, Faculty of Pharmacy and Nutrition, University of Navarra, 31008, Pamplona, Spain
| | - Mercedes Sotos-Prieto
- Department of Preventive Medicine and Public Health, School of Medicine, Universidad Autónoma de Madrid, 28029, Madrid, Spain.,CIBER of Epidemiology and Public Health (CIBERESP), Carlos III Health Institute, 28029, Madrid, Spain.,Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA.,IMDEA-Food Institute. CEI UAM+CSIC, Ctra. de Canto Blanco 8, E. 28049, Madrid, Spain
| | - Carmen de la Fuente-Arrillaga
- Department of Preventive Medicine and Public Health, School of Medicine, University of Navarra, C/ Irunlarrea, 31008, Pamplona, Spain.,IdisNA, Navarra Institute for Health Research, 31008, Pamplona, Spain.,CIBER of Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Health Institute, 28029, Madrid, Spain
| | - Miguel Ángel Martínez-González
- Department of Preventive Medicine and Public Health, School of Medicine, University of Navarra, C/ Irunlarrea, 31008, Pamplona, Spain.,IdisNA, Navarra Institute for Health Research, 31008, Pamplona, Spain.,CIBER of Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Health Institute, 28029, Madrid, Spain.,Department of Nutrition, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, 02115, USA
| | - Miguel Ruiz-Canela
- Department of Preventive Medicine and Public Health, School of Medicine, University of Navarra, C/ Irunlarrea, 31008, Pamplona, Spain. .,IdisNA, Navarra Institute for Health Research, 31008, Pamplona, Spain. .,CIBER of Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Health Institute, 28029, Madrid, Spain.
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34
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Castro-Barquero S, Casas R, Rimm EB, Tresserra-Rimbau A, Romaguera D, Martínez JA, Salas-Salvadó J, Martínez-González MA, Vidal J, Ruiz-Canela M, Konieczna J, Sacanella E, García-Gavilán JF, Fitó M, García-Arellano A, Estruch R. Loss of Visceral Fat is Associated with a Reduction in Inflammatory Status in Patients with Metabolic Syndrome. Mol Nutr Food Res 2023; 67:e2200264. [PMID: 36416291 DOI: 10.1002/mnfr.202200264] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
SCOPE Excessive visceral adipose tissue (VAT) is associated with higher secretion of pro-inflammatory molecules, contributing to systemic inflammation and obesity-related metabolic disturbances. METHODS AND RESULTS This prospective analysis includes 117 overweight/obese adults (55-75 years) from the PREDIMED-Plus study. Fourteen inflammatory markers and adipokines are measured using a Bio-Plex assay with multiplex technology: insulin, glucagon, IL-6, visfatin, ghrelin, GLP-1, TNF-α, MCP-1, PAI-1, resistin, C-peptide, leptin, adipsin, and adiponectin. Participants are categorized into tertiles according to changes in VAT after 1-year of follow-up, determined by dual-energy X-Ray absorptiometry. Participants allocate in tertile 3, which represent an increase of VAT content after 1-year of follow-up compared to tertile 1, show significant differences in insulin (T3 vs T1, fully adjusted model: p = 0.037, p for trend 0.042), PAI-1 (fully adjusted model: p = 0.05, p for trend 0.06), c-peptide (fully adjusted model: p = 0.037, p for trend 0.042), and TNF-α (fully adjusted model p = 0.037, p for trend 0.042). CONCLUSION The results evidence that a reduction in VAT is associated with clinical improvements in several inflammatory and adiposity markers, mainly in insulin, c-peptide, and PAI-1 levels, and these improvements may contribute to a reduction in cardiometabolic disturbances observe in obesity.
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Affiliation(s)
- Sara Castro-Barquero
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, 28029, Spain.,Department of Internal Medicine, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, 08036, Spain
| | - Rosa Casas
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, 28029, Spain.,Department of Internal Medicine, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, 08036, Spain
| | - Eric B Rimm
- Departments of Nutrition and Epidemiology, Harvard T.H. Chan School of Public Health, Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, 02115, USA
| | - Anna Tresserra-Rimbau
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, 28029, Spain.,Department of Nutrition, Food Science and Gastronomy, XaRTA, INSA, School of Pharmacy and Food Sciences, University of Barcelona, Barcelona, 08028, Spain
| | - Dora Romaguera
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, 28029, Spain.,Research Group on Nutritional Epidemiology & Cardiovascular Physiopathology (NUTRECOR), Health Research Institute of the Balearic Islands (IdISBa), Palma de Mallorca, 07120, Spain
| | - J Alfredo Martínez
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, 28029, Spain.,Department of Nutrition, Food Sciences, and Physiology, University of Navarra, Pamplona, 31009, Spain.,Nutritional Genomics and Epigenomics Group, IMDEA Food, CEI UAM + CSIC, Madrid, 28049, Spain
| | - Jordi Salas-Salvadó
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, 28029, Spain.,Departament de Bioquímica i Biotecnologia, Unitat de Nutrició, Universitat Rovira i Virgili, Reus, 43201, Spain.,University Hospital of Sant Joan de Reus, Nutrition Unit, Reus, 43204, Spain.,Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, 43204, Spain
| | - Miguel A Martínez-González
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, 28029, Spain.,Department of Preventive Medicine and Public Health, University of Navarra, IDISNA, Pamplona, 31008, Spain
| | - Josep Vidal
- CIBER Diabetes y Enfermedades Metabólicas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Madrid, 28029, Spain.,Department of Endocrinology, Institut d` Investigacions Biomédiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, 08036, Spain
| | - Miguel Ruiz-Canela
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, 28029, Spain.,Department of Preventive Medicine and Public Health, University of Navarra, IDISNA, Pamplona, 31008, Spain
| | - Jadwiga Konieczna
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, 28029, Spain.,Research Group on Nutritional Epidemiology & Cardiovascular Physiopathology (NUTRECOR), Health Research Institute of the Balearic Islands (IdISBa), Palma de Mallorca, 07120, Spain
| | - Emilio Sacanella
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, 28029, Spain.,Department of Internal Medicine, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, 08036, Spain
| | - Jesús Francisco García-Gavilán
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, 28029, Spain.,Departament de Bioquímica i Biotecnologia, Unitat de Nutrició, Universitat Rovira i Virgili, Reus, 43201, Spain.,University Hospital of Sant Joan de Reus, Nutrition Unit, Reus, 43204, Spain.,Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, 43204, Spain
| | - Montse Fitó
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, 28029, Spain.,Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d`Investigació Médica (IMIM), Barcelona, 08003, Spain
| | - Ana García-Arellano
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, 28029, Spain.,Department of Preventive Medicine and Public Health, University of Navarra, IDISNA, Pamplona, 31008, Spain.,Emergency Medicine, Osasunbidea, Navarra Regional Health Service, Pamplona, 31003, Spain
| | - Ramon Estruch
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, 28029, Spain.,Department of Internal Medicine, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, 08036, Spain
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35
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Paz-Graniel I, Fitó M, Ros E, Buil-Cosiales P, Corella D, Babio N, Martínez JA, Alonso-Gómez ÁM, Wärnberg J, Vioque J, Romaguera D, López-Miranda J, Estruch R, Tinahones FJ, Lapetra J, Serra-Majem L, Bueno-Cavanillas A, Tur JA, Martín-Sánchez V, Pintó X, Gaforio JJ, Matía-Martín P, Vidal J, Vázquez C, Daimiel L, García-Gavilán JF, Toledo E, Nishi SK, Sorlí JV, Castañer O, García-Ríos A, García de la Hera M, Barón-López FJ, Ruiz-Canela M, Morey M, Casas R, Garrido-Garrido EM, Tojal-Sierra L, Fernández-García JC, Vázquez-Ruiz Z, Fernández-Carrión R, Goday A, Peña-Orihuela PJ, Compañ-Gabucio L, Schröder H, Martínez-Gonzalez MA, Salas-Salvadó J. Impact of COVID-19 pandemic on the PREDIMED-Plus randomized clinical trial: Effects on the interventions, participants follow-up, and adiposity. Front Nutr 2023; 9:1098269. [PMID: 36712515 PMCID: PMC9878159 DOI: 10.3389/fnut.2022.1098269] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Accepted: 12/20/2022] [Indexed: 01/13/2023] Open
Abstract
Background The COVID-19 pandemic has affected the implementation of most ongoing clinical trials worldwide including the PREDIMED-Plus study. The PREDIMED-Plus is an ongoing, multicenter, controlled intervention trial, aimed at weight-loss and cardiovascular disease prevention, in which participants were randomized (1:1 ratio) to an intervention group (energy-reduced Mediterranean diet, promotion of physical activity, and behavioral support) or to a control group (Mediterranean diet with usual care advice). When the pandemic began, the trial was in the midst of the planned intervention. The objective of this report was to examine the effects of the pandemic on the delivery of the intervention and to describe the strategies established to mitigate the possible adverse effects of the pandemic lockdown on data collection and adiposity. Methods We assessed the integrity of the PREDIMED-Plus trial during 5 identified periods of the COVID-19 pandemic determined according to restrictions dictated by the Spanish government authorities. A standardized questionnaire was delivered to each of the 23 PREDIMED-Plus recruiting centers to collected data regarding the trial integrity. The effect of the restrictions on intervention components (diet, physical activity) was evaluated with data obtained in the three identified lockdown phases: pre lockdown, lockdown proper, and post lockdown. Results During the lockdown (March/2020-June/2021), 4,612 participants (48% women, mean age 65y) attended pre-specified yearly follow-up visits to receive lifestyle recommendations and obtain adiposity measures. The overall mean (SD) of the proportions reported by each center showed that 40.4% (25.4) participants had in-person visits, 39.8% (18.2) participants were contacted by telephone and 35% (26.3) by electronic means. Participants' follow-up and data collection rates increased across lockdown periods (from ≈10% at onset to ≈80% at the end). Compared to pre-lockdown, waist circumference increased during (0.75 cm [95% CI: 0.60-0.91]) and after (0.72 cm [95% CI: 0.56-0.89]) lockdown. Body weight did not change during lockdown (0.01 kg [95% CI: -0.10 to 0.13) and decreased after lockdown (-0.17 kg [95% CI: -0.30 to -0.04]). Conclusion Mitigating strategies to enforce the intervention and patient's follow-up during lockdown have been successful in preserving the integrity of the trial and ensuring its continuation, with minor effects on adiposity. Clinical trial registration https://doi.org/10.1186/ISRCTN89898870, identifier ISRCTN89898870.
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Affiliation(s)
- Indira Paz-Graniel
- Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Institute of Health Carlos III, Madrid, Spain,Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició, Reus, Spain,Institut d’Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
| | - Montserrat Fitó
- Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Institute of Health Carlos III, Madrid, Spain,Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d‘Investigació Médica (IMIM), Barcelona, Spain
| | - Emilio Ros
- Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Institute of Health Carlos III, Madrid, Spain,Lipid Clinic, Department of Endocrinology and Nutrition, Institut d’Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clínic, Barcelona, Spain
| | - Pilar Buil-Cosiales
- Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Institute of Health Carlos III, Madrid, Spain,Primary Health Care, IdiSNA, Servicio Navarro de Salud, Pamplona, Spain
| | - Dolores Corella
- Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Institute of Health Carlos III, Madrid, Spain,School of Medicine, Department of Preventive Medicine and Public Health, University of Valencia, Valencia, Spain
| | - Nancy Babio
- Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Institute of Health Carlos III, Madrid, Spain,Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició, Reus, Spain,Institut d’Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
| | - J. Alfredo Martínez
- Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Institute of Health Carlos III, Madrid, Spain,Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, University of Navarra, Pamplona, Spain,Precision Nutrition and Cardiometabolic Health Program, IMDEA Food, CEI UAM + CSIC, Madrid, Spain
| | - Ángel M. Alonso-Gómez
- Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Institute of Health Carlos III, Madrid, Spain,Bioaraba Health Research Institute, Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain
| | - Julia Wärnberg
- Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Institute of Health Carlos III, Madrid, Spain,EpiPHAAN Research Group, School of Health Sciences, Instituto de Investigación Biomédica en Málaga (IBIMA), University of Málaga, Málaga, Spain
| | - Jesús Vioque
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, España,Instituto de Investigación Sanitaria y Biomédica de Alicante, Universidad Miguel Hernández (ISABIAL-UMH), Alicante, Spain
| | - Dora Romaguera
- Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Institute of Health Carlos III, Madrid, Spain,Health Research Institute of the Balearic Islands (IdISBa), Palma de Mallorca, Spain
| | - José López-Miranda
- Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Institute of Health Carlos III, Madrid, Spain,Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Córdoba, Córdoba, Spain
| | - Ramon Estruch
- Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Institute of Health Carlos III, Madrid, Spain,Department of Internal Medicine, Institut d’Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Francisco J. Tinahones
- Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Institute of Health Carlos III, Madrid, Spain,Department of Endocrinology, Instituto de Investigación Biomédica de Málaga (IBIMA), Virgen de la Victoria Hospital, University of Málaga, Málaga, Spain
| | - José Lapetra
- Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Institute of Health Carlos III, Madrid, Spain,Research Unit, Department of Family Medicine, Distrito Sanitario Atención Primaria Seville, Seville, Spain
| | - Lluis Serra-Majem
- Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Institute of Health Carlos III, Madrid, Spain,Research Institute of Biomedical and Health Sciences (IUIBS), University of Las Palmas de Gran Canaria and Centro Hospitalario Universitario Insular Materno Infantil (CHUIMI), Canarian Health Service, Las Palmas, Spain
| | - Aurora Bueno-Cavanillas
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, España,Department of Preventive Medicine and Public Health, University of Granada, Granada, Spain
| | - Josep A. Tur
- Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Institute of Health Carlos III, Madrid, Spain,Research Group on Community Nutrition and Oxidative Stress, University of Balearic Islands, Palma de Mallorca, Spain
| | - Vicente Martín-Sánchez
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, España,Institute of Biomedicine (IBIOMED), University of León, León, Spain
| | - Xavier Pintó
- Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Institute of Health Carlos III, Madrid, Spain,Lipids and Vascular Risk Unit, Internal Medicine, Hospital Universitario de Bellvitge-Idibell, Hospitalet de Llobregat, Universitat de Barcelona, Barcelona, Spain
| | - José Juan Gaforio
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, España,Departamento de Ciencias de la Salud, Instituto Universitario de Investigación en Olivar y Aceites de Oliva, Universidad de Jaén, Jaén, Spain
| | - Pilar Matía-Martín
- Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Institute of Health Carlos III, Madrid, Spain,Department of Endocrinology and Nutrition, Instituto de Investigación Sanitaria Hospital Clínico San Carlos (IdISSC), Universidad Complutense, Madrid, Spain
| | - Josep Vidal
- Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Institute of Health Carlos III, Madrid, Spain,Department of Endocrinology, Institut d’Investigacions Biomédiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Clotilde Vázquez
- Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Institute of Health Carlos III, Madrid, Spain,Department of Endocrinology and Nutrition, Hospital Fundación Jimenez Díaz, Instituto de Investigaciones Biomédicas IISFJD, University Autonoma, Madrid, Spain
| | - Lidia Daimiel
- Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Institute of Health Carlos III, Madrid, Spain,Nutritional Control of the Epigenome Group, Precision Nutrition and Obesity Program, IMDEA Food, CEI UAM + CSIC, Madrid, Spain
| | - Jesus F. García-Gavilán
- Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Institute of Health Carlos III, Madrid, Spain,Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició, Reus, Spain,Institut d’Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
| | - Estefanía Toledo
- Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Institute of Health Carlos III, Madrid, Spain,Department of Preventive Medicine and Public Health, IDISNA, University of Navarra, Pamplona, Spain
| | - Stephanie K. Nishi
- Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Institute of Health Carlos III, Madrid, Spain,Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició, Reus, Spain,Institut d’Investigació Sanitària Pere Virgili (IISPV), Reus, Spain,Toronto 3D (Diet, Digestive Tract and Disease) Knowledge Synthesis and Clinical Trials Unit, Toronto, ON, Canada,Clinical Nutrition and Risk Factor Modification Centre, St. Michael’s Hospital, Unity Health Toronto, ON, Canada
| | - Jose V. Sorlí
- Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Institute of Health Carlos III, Madrid, Spain,School of Medicine, Department of Preventive Medicine and Public Health, University of Valencia, Valencia, Spain
| | - Olga Castañer
- Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Institute of Health Carlos III, Madrid, Spain,Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d‘Investigació Médica (IMIM), Barcelona, Spain
| | - Antonio García-Ríos
- Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Institute of Health Carlos III, Madrid, Spain,Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Córdoba, Córdoba, Spain
| | - Manoli García de la Hera
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, España,Instituto de Investigación Sanitaria y Biomédica de Alicante, Universidad Miguel Hernández (ISABIAL-UMH), Alicante, Spain
| | - Francisco Javier Barón-López
- Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Institute of Health Carlos III, Madrid, Spain,EpiPHAAN Research Group, School of Health Sciences, Instituto de Investigación Biomédica en Málaga (IBIMA), University of Málaga, Málaga, Spain
| | - Miguel Ruiz-Canela
- Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Institute of Health Carlos III, Madrid, Spain,Department of Preventive Medicine and Public Health, IDISNA, University of Navarra, Pamplona, Spain
| | - Marga Morey
- Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Institute of Health Carlos III, Madrid, Spain,Health Research Institute of the Balearic Islands (IdISBa), Palma de Mallorca, Spain
| | - Rosa Casas
- Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Institute of Health Carlos III, Madrid, Spain,Department of Internal Medicine, Institut d’Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain
| | | | - Lucas Tojal-Sierra
- Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Institute of Health Carlos III, Madrid, Spain,Bioaraba Health Research Institute, Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain
| | - José C. Fernández-García
- Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Institute of Health Carlos III, Madrid, Spain,Department of Endocrinology, Instituto de Investigación Biomédica de Málaga (IBIMA), Virgen de la Victoria Hospital, University of Málaga, Málaga, Spain
| | - Zenaida Vázquez-Ruiz
- Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Institute of Health Carlos III, Madrid, Spain,Department of Preventive Medicine and Public Health, IDISNA, University of Navarra, Pamplona, Spain
| | - Rebeca Fernández-Carrión
- Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Institute of Health Carlos III, Madrid, Spain,School of Medicine, Department of Preventive Medicine and Public Health, University of Valencia, Valencia, Spain
| | - Albert Goday
- Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Institute of Health Carlos III, Madrid, Spain,Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d‘Investigació Médica (IMIM), Barcelona, Spain
| | - Patricia J. Peña-Orihuela
- Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Institute of Health Carlos III, Madrid, Spain,Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Córdoba, Córdoba, Spain
| | - Laura Compañ-Gabucio
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, España,Instituto de Investigación Sanitaria y Biomédica de Alicante, Universidad Miguel Hernández (ISABIAL-UMH), Alicante, Spain
| | - Helmut Schröder
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d‘Investigació Médica (IMIM), Barcelona, Spain,Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, España
| | - Miguel A. Martínez-Gonzalez
- Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Institute of Health Carlos III, Madrid, Spain,Department of Preventive Medicine and Public Health, IDISNA, University of Navarra, Pamplona, Spain,Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, United States,Miguel A. Martínez-Gonzalez,
| | - Jordi Salas-Salvadó
- Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Institute of Health Carlos III, Madrid, Spain,Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició, Reus, Spain,Institut d’Investigació Sanitària Pere Virgili (IISPV), Reus, Spain,*Correspondence: Jordi Salas-Salvadó,
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de la O V, Zazpe I, de la Fuente-Arrillaga C, Santiago S, Goni L, Martínez-González MÁ, Ruiz-Canela M. Association between a new dietary protein quality index and micronutrient intake adequacy: a cross-sectional study in a young adult Spanish Mediterranean cohort. Eur J Nutr 2023; 62:419-432. [PMID: 36085527 PMCID: PMC9899725 DOI: 10.1007/s00394-022-02991-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2021] [Accepted: 08/24/2022] [Indexed: 02/07/2023]
Abstract
PURPOSE There is no evidence of a dietary index that measures not only the quantity but also the quality of protein. The aim is to investigate the association between a new dietary protein quality index (PQI) and micronutrient intake adequacy in a Mediterranean cohort. DESIGN We assessed 17,535 participants' diet at baseline using a semi-quantitative FFQ. The PQI was calculated according to the ratio of protein (g/d) sources: [fish, seafood, lean meat, pulses, eggs, nuts, low-fat dairy, and whole grains]/[red and ultra-processed meats, whole-fat or semi-skimmed dairy, potatoes and refined grains]. Participants were classified into quintiles of PQI. We evaluated the intakes of Fe, Cr, I, K, Mg, Ca, P, Na, Se, Zn and vitamins A, B1, B2, B3, B6, B12, C, E and folic acid. Micronutrient adequacy was evaluated using DRIs. Logistic regression analysis was used to assess the micronutrient adequacy according to quintiles of PQI. RESULTS In this cross-sectional analysis, a total of 24.2% and 4.3% participants did not to meet DRIs in ≥ 4 and ≥ 8 micronutrients, respectively. The odds of failing to meet ≥ 4 and ≥ 8 DRI were lower in participants in the highest quintile of protein quality (OR = 0.22; IC 95% = 0.18, 0.26; P-trend < 0.001; and OR = 0.08; IC 95% = 0.05, 0.14; P-trend < 0.001, respectively) as compared to participants in the lowest quintile. CONCLUSION Higher PQI was found to be strongly associated with better micronutrient intake adequacy in this Mediterranean cohort. The promotion of high-quality protein intake may be helpful for a more adequate intake of micronutrients. The odds of failing to meet certain numbers of DRIs were lower rather than saying lower risk.
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Affiliation(s)
- Víctor de la O
- grid.5924.a0000000419370271Department of Preventive Medicine and Public Health, Campus Universitario, School of Medicine, University of Navarra, 31008 Pamplona, Spain ,grid.413448.e0000 0000 9314 1427CIBER Fisiopatología de La Obesidad Y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain ,grid.508840.10000 0004 7662 6114Navarra Institute for Health Research (IdiSNA), Pamplona, Spain ,grid.482878.90000 0004 0500 5302Cardiometabolic Nutrition Group, IMDEA Food, CEI UAM + CSIC, Madrid, Spain
| | - Itziar Zazpe
- grid.5924.a0000000419370271Department of Nutrition and Food Sciences and Physiology, Campus Universitario, School of Pharmacy and Nutrition, University of Navarra, 31008 Pamplona, Spain ,grid.413448.e0000 0000 9314 1427CIBER Fisiopatología de La Obesidad Y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain ,grid.508840.10000 0004 7662 6114Navarra Institute for Health Research (IdiSNA), Pamplona, Spain
| | - Carmen de la Fuente-Arrillaga
- grid.5924.a0000000419370271Department of Preventive Medicine and Public Health, Campus Universitario, School of Medicine, University of Navarra, 31008 Pamplona, Spain ,grid.413448.e0000 0000 9314 1427CIBER Fisiopatología de La Obesidad Y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain ,grid.508840.10000 0004 7662 6114Navarra Institute for Health Research (IdiSNA), Pamplona, Spain
| | - Susana Santiago
- grid.5924.a0000000419370271Department of Nutrition and Food Sciences and Physiology, Campus Universitario, School of Pharmacy and Nutrition, University of Navarra, 31008 Pamplona, Spain ,grid.508840.10000 0004 7662 6114Navarra Institute for Health Research (IdiSNA), Pamplona, Spain
| | - Leticia Goni
- grid.5924.a0000000419370271Department of Preventive Medicine and Public Health, Campus Universitario, School of Medicine, University of Navarra, 31008 Pamplona, Spain ,grid.413448.e0000 0000 9314 1427CIBER Fisiopatología de La Obesidad Y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain ,grid.508840.10000 0004 7662 6114Navarra Institute for Health Research (IdiSNA), Pamplona, Spain
| | - Miguel Ángel Martínez-González
- grid.5924.a0000000419370271Department of Preventive Medicine and Public Health, Campus Universitario, School of Medicine, University of Navarra, 31008 Pamplona, Spain ,grid.413448.e0000 0000 9314 1427CIBER Fisiopatología de La Obesidad Y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain ,grid.508840.10000 0004 7662 6114Navarra Institute for Health Research (IdiSNA), Pamplona, Spain ,grid.38142.3c000000041936754XDepartment of Nutrition, Harvard TH Chan School of Public Health, Boston, MA USA
| | - Miguel Ruiz-Canela
- grid.5924.a0000000419370271Department of Preventive Medicine and Public Health, Campus Universitario, School of Medicine, University of Navarra, 31008 Pamplona, Spain ,grid.413448.e0000 0000 9314 1427CIBER Fisiopatología de La Obesidad Y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain ,grid.508840.10000 0004 7662 6114Navarra Institute for Health Research (IdiSNA), Pamplona, Spain
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García-Gavilán J, Nishi S, Paz-Graniel I, Guasch-Ferré M, Razquin C, Clish CB, Toledo E, Ruiz-Canela M, Corella D, Deik A, Drouin-Chartier JP, Wittenbecher C, Babio N, Estruch R, Ros E, Fitó M, Arós F, Fiol M, Serra-Majem L, Liang L, Martínez-González MA, Hu FB, Salas-Salvadó J. Plasma Metabolite Profiles Associated with the Amount and Source of Meat and Fish Consumption and the Risk of Type 2 Diabetes. Mol Nutr Food Res 2022; 66:e2200145. [PMID: 36214069 PMCID: PMC9722604 DOI: 10.1002/mnfr.202200145] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Revised: 09/12/2022] [Indexed: 01/18/2023]
Abstract
SCOPE Consumption of meat has been associated with a higher risk of type 2 diabetes (T2D), but if plasma metabolite profiles associated with these foods reflect this relationship is unknown. The objective is to identify a metabolite signature of consumption of total meat (TM), red meat (RM), processed red meat (PRM), and fish and examine if they are associated with T2D risk. METHODS AND RESULTS The discovery population includes 1833 participants from the PREDIMED trial. The internal validation sample includes 1522 participants with available 1-year follow-up metabolomic data. Associations between metabolites and TM, RM, PRM, and fish are evaluated with elastic net regression. Associations between the profiles and incident T2D are estimated using Cox regressions. The profiles included 72 metabolites for TM, 69 for RM, 74 for PRM, and 66 for fish. After adjusting for T2D risk factors, only profiles of TM (Hazard Ratio (HR): 1.25, 95% CI: 1.06-1.49), RM (HR: 1.27, 95% CI: 1.07-1.52), and PRM (HR: 1.27, 95% CI: 1.07-1.51) are associated with T2D. CONCLUSIONS The consumption of TM, its subtypes, and fish is associated with different metabolites, some of which have been previously associated with T2D. Scores based on the identified metabolites for TM, RM, and PRM show a significant association with T2D risk.
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Affiliation(s)
- Jesús García-Gavilán
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana. Hospital Universitari San Joan de Reus, Reus, Spain,Institut d’Investigació Sanitària Pere Virgili (IISPV), Reus, Spain,Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Stephanie Nishi
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana. Hospital Universitari San Joan de Reus, Reus, Spain,Institut d’Investigació Sanitària Pere Virgili (IISPV), Reus, Spain,Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain,Toronto 3D (Diet, Digestive Tract and Disease) Knowledge Synthesis and Clinical Trials Unit, Toronto, ON, Canada,Clinical Nutrition and Risk Factor Modification Centre, St. Michael’s Hospital, Unity Health Toronto, ON, Canada
| | - Indira Paz-Graniel
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana. Hospital Universitari San Joan de Reus, Reus, Spain,Institut d’Investigació Sanitària Pere Virgili (IISPV), Reus, Spain,Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Marta Guasch-Ferré
- Department of Nutrition, Harvard TH Chan School of Public Health, Boston, MA, USA,Channing Division for Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Cristina Razquin
- Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain,Department of Preventive Medicine and Public Health, Navarra Health Research Institute (IDISNA), University of Navarra, Pamplona, Spain
| | | | - Estefanía Toledo
- Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain,Department of Preventive Medicine and Public Health, Navarra Health Research Institute (IDISNA), University of Navarra, Pamplona, Spain
| | - Miguel Ruiz-Canela
- Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain,Department of Preventive Medicine and Public Health, Navarra Health Research Institute (IDISNA), University of Navarra, Pamplona, Spain
| | - Dolores Corella
- Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain,Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Amy Deik
- The Broad Institute of Harvard and MIT, Boston, MA, USA
| | - Jean-Philippe Drouin-Chartier
- Centre Nutrition, Santé et Société, Institut sur la Nutrition et les Aliments Fonctionnels, Faculté de Pharmacie, Université Laval, Québec, Canada
| | - Clemens Wittenbecher
- Toronto 3D (Diet, Digestive Tract and Disease) Knowledge Synthesis and Clinical Trials Unit, Toronto, ON, Canada,Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany,German Center for Diabetes Research, Neuherberg, Germany
| | - Nancy Babio
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana. Hospital Universitari San Joan de Reus, Reus, Spain,Institut d’Investigació Sanitària Pere Virgili (IISPV), Reus, Spain,Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Ramon Estruch
- Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain,Department of Internal Medicine, Institut d’Investigacions Biomèdiques August Pi Sunyer, Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Emilio Ros
- Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain,Lipid Clinic, Department of Endocrinology and Nutrition, Agust Pi i Sunyer Biomedical Research Institute (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Montserrat Fitó
- Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain,Cardiovascular and Nutrition Research Group, Institut de Recerca Hospital del Mar, Barcelona, Spain
| | - Fernando Arós
- Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain,Department of Cardiology, University Hospital of Alava, Vitoria, Spain
| | - Miquel Fiol
- Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain,Institute of Health Sciences IUNICS, University of Balearic Islands and Hospital Son Espases, Palma de Mallorca, Spain
| | - Lluís Serra-Majem
- Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain,Research Institute of Biomedical and Health Sciences IUIBS, University of Las Palmas de Gran Canaria, Las Palmas, Spain
| | - Liming Liang
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, 02115, USA,Department of Statistics, Harvard T. H. Chan School of Public Health, Boston, MA, 02115, USA
| | - Miguel A Martínez-González
- Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain,Department of Nutrition, Harvard TH Chan School of Public Health, Boston, MA, USA,Department of Preventive Medicine and Public Health, Navarra Health Research Institute (IDISNA), University of Navarra, Pamplona, Spain
| | - Frank B Hu
- Department of Nutrition, Harvard TH Chan School of Public Health, Boston, MA, USA,Channing Division for Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA,Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, 02115, USA
| | - Jordi Salas-Salvadó
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana. Hospital Universitari San Joan de Reus, Reus, Spain,Institut d’Investigació Sanitària Pere Virgili (IISPV), Reus, Spain,Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
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Gutiérrez-Bedmar M, Gil F, Olmedo P, Ruiz-Canela M, Martínez-González MÁ, Salas-Salvadó J, Babio N, Fitó M, Del Val García JL, Corella D, Sorlí JV, Ros E, Fiol M, Estruch R, Santos-Lozano JM, Arós F, Serra-Majem L, Pintó X, Gómez-Gracia E, Muñoz-Bravo C. Serum Selenium and Incident Cardiovascular Disease in the PREvención con DIeta MEDiterránea (PREDIMED) Trial: Nested Case-Control Study. J Clin Med 2022; 11:jcm11226664. [PMID: 36431140 PMCID: PMC9692990 DOI: 10.3390/jcm11226664] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Revised: 11/04/2022] [Accepted: 11/08/2022] [Indexed: 11/13/2022] Open
Abstract
Background: Selenium is an essential trace mineral with potential interest for cardiovascular disease (CVD) prevention owing to its antioxidant properties. Epidemiological data on selenium status and CVD remain inconsistent. The objective of this study was to ascertain whether low serum selenium (SSe) concentrations are related to an increased risk of a first CVD event in a population at high cardiovascular risk. Methods: We undertook a case-control study nested within the “PREvención con DIeta MEDiterránea” (PREDIMED) trial. A total of 207 participants diagnosed with CVD (myocardial infarction, stroke, or cardiovascular death) during the follow-up period (2003−2010) were matched by sex, age, and intervention group to 436 controls by incidence density sampling. Median time between serum sample collection and subsequent CVD event occurrence was 0.94 years. SSe levels were determined using inductively coupled plasma mass spectrometry analysis. Covariates were assessed through validated questionnaires, in-person interviews, and medical record reviews. Conditional logistic regression was used to calculate multivariable-adjusted odds ratios (ORs). Results: Among women, the mean SSe concentration was lower in cases than in controls (98.5 μg/L vs. 103.8 μg/L; p = 0.016). In controls, SSe levels were directly associated with percentage of total energy intake from proteins and fish intake (p for linear trend < 0.001 and 0.049, respectively), whereas SSe concentrations were inversely associated with age, body mass index, and percentage of total energy intake from carbohydrates (p for linear trend < 0.001, 0.008 and 0.016 respectively). In the total group, we observed an inverse dose−response gradient between SSe levels and risk of CVD in the fully-adjusted model (highest vs. lowest quartile: OR = 0.47, 95% CI: 0.27−0.81; ptrend = 0.003). Conclusions: Among elderly individuals at high cardiovascular risk, high SSe concentrations within population reference values are associated with lower first CVD incidence.
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Affiliation(s)
- Mario Gutiérrez-Bedmar
- Preventive Medicine and Public Health Department, School of Medicine, University of Málaga, 29010 Malaga, Spain
- Biomedical Research Institute of Malaga-IBIMA Plataforma BIONAND, 29010 Malaga, Spain
- CIBERCV Cardiovascular Diseases, Carlos III Health Institute, 28029 Madrid, Spain
- Correspondence:
| | - Fernando Gil
- Department of Legal Medicine, Toxicology, and Physical Anthropology, School of Medicine, University of Granada, 18071 Granada, Spain
| | - Pablo Olmedo
- Department of Legal Medicine, Toxicology, and Physical Anthropology, School of Medicine, University of Granada, 18071 Granada, Spain
| | - Miguel Ruiz-Canela
- Department of Preventive Medicine and Public Health, School of Medicine, University of Navarra, 31008 Pamplona, Spain
- CIBEROBN Physiopathology of Obesity and Nutrition, Carlos III Health Institute, 28029 Madrid, Spain
| | - Miguel Ángel Martínez-González
- Department of Preventive Medicine and Public Health, School of Medicine, University of Navarra, 31008 Pamplona, Spain
- CIBEROBN Physiopathology of Obesity and Nutrition, Carlos III Health Institute, 28029 Madrid, Spain
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Jordi Salas-Salvadó
- CIBEROBN Physiopathology of Obesity and Nutrition, Carlos III Health Institute, 28029 Madrid, Spain
- Human Nutrition Unit, Departament de Bioquímica i Biotecnologia, Universitat Rovira I Virgili, Hospital Universitari San Joan de Reus, 43201 Reus, Spain
- Institut d’Investigació Sanitària Pere Virgili (IISPV), 43201 Reus, Spain
| | - Nancy Babio
- CIBEROBN Physiopathology of Obesity and Nutrition, Carlos III Health Institute, 28029 Madrid, Spain
- Human Nutrition Unit, Departament de Bioquímica i Biotecnologia, Universitat Rovira I Virgili, Hospital Universitari San Joan de Reus, 43201 Reus, Spain
- Institut d’Investigació Sanitària Pere Virgili (IISPV), 43201 Reus, Spain
| | - Montserrat Fitó
- CIBEROBN Physiopathology of Obesity and Nutrition, Carlos III Health Institute, 28029 Madrid, Spain
- Unit of Cardiovascular Risk and Nutrition, Hospital del Mar Institute for Medical Research (IMIM), 08003 Barcelona, Spain
| | - Jose Luís Del Val García
- Unitat d’Avaluació, Sistemes d’Informació i Qualitat (BASIQ), Gerència Territorial Atenció Primària Barcelona Ciutat, Institut Català de la Salut, 08029 Barcelona, Spain
- Fundació Institut Universitari per a la Recerca a l’Atenció Primària de Salut Jordi Gol I Gurina (IDIAPJGol), 08007 Barcelona, Spain
| | - Dolores Corella
- CIBEROBN Physiopathology of Obesity and Nutrition, Carlos III Health Institute, 28029 Madrid, Spain
- Department of Preventive Medicine, Universidad de Valencia, 46010 Valencia, Spain
| | - José V. Sorlí
- CIBEROBN Physiopathology of Obesity and Nutrition, Carlos III Health Institute, 28029 Madrid, Spain
- Department of Preventive Medicine, Universidad de Valencia, 46010 Valencia, Spain
| | - Emilio Ros
- CIBEROBN Physiopathology of Obesity and Nutrition, Carlos III Health Institute, 28029 Madrid, Spain
- August Pi i Sunyer Biomedical Research Institute (IDIBAPS), 08036 Barcelona, Spain
- Lipid Clinic, Endocrinology and Nutrition Service, Hospital Clínic, 08036 Barcelona, Spain
| | - Miquel Fiol
- CIBEROBN Physiopathology of Obesity and Nutrition, Carlos III Health Institute, 28029 Madrid, Spain
- Health Research Institute of the Balearic Islands (IdISBa), Hospital Son Espases, 07120 Palma de Mallorca, Spain
| | - Ramón Estruch
- CIBEROBN Physiopathology of Obesity and Nutrition, Carlos III Health Institute, 28029 Madrid, Spain
- August Pi i Sunyer Biomedical Research Institute (IDIBAPS), 08036 Barcelona, Spain
- Internal Medicine Service, Hospital Clínic, 08036 Barcelona, Spain
| | - José Manuel Santos-Lozano
- CIBEROBN Physiopathology of Obesity and Nutrition, Carlos III Health Institute, 28029 Madrid, Spain
- Research Unit, Department of Family Medicine, Distrito Sanitario Atención Primaria Sevilla, 41010 Sevilla, Spain
| | - Fernando Arós
- CIBEROBN Physiopathology of Obesity and Nutrition, Carlos III Health Institute, 28029 Madrid, Spain
- Department of Cardiology, Hospital Txagorritxu, 01009 Vitoria, Spain
| | - Lluís Serra-Majem
- CIBEROBN Physiopathology of Obesity and Nutrition, Carlos III Health Institute, 28029 Madrid, Spain
- Department Clinical Sciences, University of Las Palmas de Gran Canaria, 35016 Palmas de Gran Canaria, Spain
| | - Xavier Pintó
- CIBEROBN Physiopathology of Obesity and Nutrition, Carlos III Health Institute, 28029 Madrid, Spain
- Lipid Unit, Department of Internal Medicine, IDIBELL-Hospital Universitari de Bellvitge, L’Hospitalet de Llobregat, FIPEC, 08908 Barcelona, Spain
| | - Enrique Gómez-Gracia
- Preventive Medicine and Public Health Department, School of Medicine, University of Málaga, 29010 Malaga, Spain
- Biomedical Research Institute of Malaga-IBIMA Plataforma BIONAND, 29010 Malaga, Spain
| | - Carlos Muñoz-Bravo
- Preventive Medicine and Public Health Department, School of Medicine, University of Málaga, 29010 Malaga, Spain
- Biomedical Research Institute of Malaga-IBIMA Plataforma BIONAND, 29010 Malaga, Spain
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Rubín-García M, Vitelli-Storelli F, Álvarez-Álvarez L, Martínez-González MÁ, Salas-Salvadó J, Corella D, Hernáez Á, Martínez JA, Alonso-Gómez ÁM, Wärnberg J, Vioque J, Romaguera D, López-Miranda J, Estruch R, Tinahones FJ, Serra-Majem LI, Cano-Ibañez N, Tur JA, Marcos-Delgado A, Tresserra-Rimbau A, Pintó X, Delgado-Rodríguez M, Matía-Martín P, Vidal J, Vázquez C, Daimiel L, Ros E, Vázquez-Ruiz Z, Babio N, Barragán R, Castañer-Niño O, Razquin C, Tojal-Sierra L, Gómez-Gracia E, González-Palacios S, Morey M, García-Rios A, Castro-Barquero S, Bernal-López MR, Santos-Lozano JM, Ruiz-Canela M, Castro-Salomó A, Pascual-Castelló EC, Moldon V, Bullón-Vela V, Sorto-Sanchez C, Cenoz-Osinaga JC, Gutiérrez L, Mengual M, Lamuela-Raventós RM, Martín-Sánchez V. Association Among Polyphenol Intake, Uric Acid, and Hyperuricemia: A Cross-Sectional Analysis in a Population at High Cardiovascular Risk. J Am Heart Assoc 2022; 11:e026053. [PMID: 36205262 DOI: 10.1161/jaha.122.026053] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background Dietary polyphenol intake has been associated with a decreased risk of hyperuricemia, but most of this knowledge comes from preclinical studies. The aim of the present study was to assess the association of the intake of different classes of polyphenols with serum uric acid and hyperuricemia. Methods and Results This cross-sectional analysis involved baseline data of 6332 participants. Food polyphenol content was estimated by a validated semiquantitative food frequency questionnaire and from the Phenol-Explorer database. Multivariable-adjusted linear regression models with serum uric acid (milligrams per deciliter) as the outcome and polyphenol intake (quintiles) as the main independent variable were fitted. Cox regression models with constant follow-up time (t=1) were performed to estimate the prevalence ratios (PRs) of hyperuricemia (≥7 mg/dL in men and ≥6 mg/dL in women). An inverse association between the intake of the phenolic acid class (β coefficient, -0.17 mg/dL for quintile 5 versus quintile 1 [95% CI, -0.27 to -0.06]) and hydroxycinnamic acids (β coefficient, -0.19 [95% CI, -0.3 to -0.09]), alkylmethoxyphenols (β coefficient, -0.2 [95% CI, -0.31 to -0.1]), and methoxyphenols (β coefficient, -0.24 [95% CI, -0.34 to -0.13]) subclasses with serum uric acid levels and hyperuricemia (PR, 0.82 [95% CI, 0.71-0.95]; PR, 0.82 [95% CI, 0.71-0.95]; PR, 0.80 [95% CI, 0.70-0.92]; and PR, 0.79 [95% CI, 0.69-0.91]; respectively) was found. The intake of hydroxybenzoic acids was directly and significantly associated with mean serum uric acid levels (β coefficient, 0.14 for quintile 5 versus quintile 1 [95% CI, 0.02-0.26]) but not with hyperuricemia. Conclusions In individuals with metabolic syndrome, a higher intake of some polyphenol subclasses (hydroxycinnamic acids, alkylmethoxyphenol, and methoxyphenol) was inversely associated with serum uric acid levels and hyperuricemia. Nevertheless, our findings warrant further research.
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Affiliation(s)
- María Rubín-García
- Group of Investigation in Interactions Gene-Environment and Health (GIIGAS) Institute of Biomedicine (IBIOMED), University of León Spain
| | - Facundo Vitelli-Storelli
- Group of Investigation in Interactions Gene-Environment and Health (GIIGAS) Institute of Biomedicine (IBIOMED), University of León Spain
| | - Laura Álvarez-Álvarez
- Group of Investigation in Interactions Gene-Environment and Health (GIIGAS) Institute of Biomedicine (IBIOMED), University of León Spain
| | - Miguel Ángel Martínez-González
- Department of Preventive Medicine and Public Health Navarra Institute for Health Research (IdiSNA), University of Navarra Pamplona Spain.,Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN) Institute of Health Carlos III Madrid Spain.,Department of Nutrition Harvard T.H. Chan School of Public Health Boston MA
| | - Jordi Salas-Salvadó
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN) Institute of Health Carlos III Madrid Spain.,Departament de Bioquímica i Biotecnologia Universitat Rovira i Virgili, Unitat de Nutrició Humana Reus Spain.,University Hospital of Sant Joan de Reus, Servei de Medicina Interna, Unitat de Nutrició Reus Spain.,Institut d'Investigació Sanitària Pere Virgili (IISPV) Reus Spain
| | - Dolores Corella
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN) Institute of Health Carlos III Madrid Spain.,Department of Preventive Medicine University of Valencia Spain
| | - Álvaro Hernáez
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN) Institute of Health Carlos III Madrid Spain.,Cardiovascular Risk and Nutrition Research Group Institut Hospital del Mar d'Investigacions Mèdiques (IMIM) Barcelona Spain.,Centre for Fertility and Health Norwegian Institute of Public Health Oslo Norway
| | - J Alfredo Martínez
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN) Institute of Health Carlos III Madrid Spain.,Department of Nutrition, Food Sciences, and Physiology University of Navarra Pamplona Spain.,Precision Nutrition Programme IMDEA Food, CEI UAM+CSIC Madrid Spain
| | - Ángel M Alonso-Gómez
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN) Institute of Health Carlos III Madrid Spain.,Bioaraba Health Research Institute, Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country UPV/EHU Vitoria-Gasteiz Spain
| | - Julia Wärnberg
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN) Institute of Health Carlos III Madrid Spain.,Department of Nursing, School of Health Sciences University of Malaga Spain.,Instituto de Investigación Biomédica de Málaga-IBIMA Málaga Spain
| | - Jesús Vioque
- CIBER de Epidemiología y Salud Pública (CIBERESP) Instituto de Salud Carlos III Madrid Spain.,Instituto de Investigación Sanitaria y Biomédica de Alicante, Universidad Miguel Hernandez (ISABIAL-UMH) Alicante Spain
| | - Dora Romaguera
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN) Institute of Health Carlos III Madrid Spain.,Health Research Institute of the Balearic Islands (IdISBa) Palma de Mallorca Spain
| | - José López-Miranda
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN) Institute of Health Carlos III Madrid Spain.,Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC) Reina Sofia University Hospital, University of Cordoba Spain
| | - Ramon Estruch
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN) Institute of Health Carlos III Madrid Spain.,Department of Medicine, Faculty of Medicine and Life Sciences University of Barcelona Spain.,Institut d'Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS) Barcelona Spain
| | - Francisco J Tinahones
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN) Institute of Health Carlos III Madrid Spain.,Instituto de Investigación Biomédica de Málaga-IBIMA Málaga Spain.,Department of Endocrinology Virgen de la Victoria Hospital Málaga Spain
| | - Luís I Serra-Majem
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN) Institute of Health Carlos III Madrid Spain.,Research Institute of Biomedical and Health Sciences (IUIBS) University of Las Palmas de Gran Canaria & Centro Hospitalario Universitario Insular Materno Infantil (CHUIMI), Canarian Health Service Las Palmas de Gran Canaria Spain
| | - Naomi Cano-Ibañez
- Instituto de Investigación Biosanitaria ibs.GRANADA Complejo Hospitales Universitarios de Granada/Department of Preventive Medicine and Public Health, University of Granada Spain
| | - Josep A Tur
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN) Institute of Health Carlos III Madrid Spain.,Health Research Institute of the Balearic Islands (IdISBa) Palma de Mallorca Spain.,Research Group on Community Nutrition & Oxidative Stress University of Balearic Islands Palma de Mallorca Spain
| | - Alba Marcos-Delgado
- Group of Investigation in Interactions Gene-Environment and Health (GIIGAS) Institute of Biomedicine (IBIOMED), University of León Spain
| | - Anna Tresserra-Rimbau
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN) Institute of Health Carlos III Madrid Spain.,Department of Nutrition, Food Science, and Gastronomy XIA, School of Pharmacy and Food Sciences, INSA, University of Barcelona Spain
| | - Xavier Pintó
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN) Institute of Health Carlos III Madrid Spain.,Lipids and Vascular Risk Unit, Internal Medicine Hospital Universitario de Bellvitge, Hospitalet de Llobregat Barcelona Spain
| | - Miguel Delgado-Rodríguez
- Department of Nutrition, Food Sciences, and Physiology University of Navarra Pamplona Spain.,Division of Preventive Medicine, Faculty of Medicine University of Jaén Spain
| | - Pilar Matía-Martín
- Department of Endocrinology and Nutrition Instituto de Investigación Sanitaria Hospital Clínico San Carlos (IdISSC) Madrid Spain
| | - Josep Vidal
- CIBER Diabetes y Enfermedades Metabólicas (CIBERDEM) Instituto de Salud Carlos III (ISCIII) Madrid Spain.,Department of Endocrinology Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona Barcelona Spain
| | - Clotilde Vázquez
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN) Institute of Health Carlos III Madrid Spain.,Department of Endocrinology and Nutrition Hospital Fundación Jimenez Díaz, Instituto de Investigaciones Biomédicas IISFJD, University Autonoma Madrid Spain
| | - Lidia Daimiel
- Nutritional Control of the Epigenome Group, Precision Nutrition, and Obesity Program, IMDEA Food CEI UAM+CSIC Madrid Spain
| | - Emili Ros
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN) Institute of Health Carlos III Madrid Spain.,Lipid Clinic, Department of Endocrinology and Nutrition Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clínic Barcelona Spain
| | - Zenaida Vázquez-Ruiz
- Department of Preventive Medicine and Public Health Navarra Institute for Health Research (IdiSNA), University of Navarra Pamplona Spain.,Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN) Institute of Health Carlos III Madrid Spain
| | - Nancy Babio
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN) Institute of Health Carlos III Madrid Spain.,Departament de Bioquímica i Biotecnologia Universitat Rovira i Virgili, Unitat de Nutrició Humana Reus Spain.,University Hospital of Sant Joan de Reus, Servei de Medicina Interna, Unitat de Nutrició Reus Spain.,Institut d'Investigació Sanitària Pere Virgili (IISPV) Reus Spain
| | - Rocío Barragán
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN) Institute of Health Carlos III Madrid Spain.,Department of Preventive Medicine University of Valencia Spain
| | | | - Cristina Razquin
- Department of Preventive Medicine and Public Health Navarra Institute for Health Research (IdiSNA), University of Navarra Pamplona Spain.,Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN) Institute of Health Carlos III Madrid Spain
| | - Lucas Tojal-Sierra
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN) Institute of Health Carlos III Madrid Spain.,Bioaraba Health Research Institute, Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country UPV/EHU Vitoria-Gasteiz Spain
| | - Enrique Gómez-Gracia
- Instituto de Investigación Biomédica de Málaga-IBIMA Málaga Spain.,Department of Preventive Medicine and Public Health, School of Medicine University of Málaga Spain
| | - Sandra González-Palacios
- CIBER de Epidemiología y Salud Pública (CIBERESP) Instituto de Salud Carlos III Madrid Spain.,Instituto de Investigación Sanitaria y Biomédica de Alicante, Universidad Miguel Hernandez (ISABIAL-UMH) Alicante Spain
| | - Marga Morey
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN) Institute of Health Carlos III Madrid Spain.,Health Research Institute of the Balearic Islands (IdISBa) Palma de Mallorca Spain
| | - Antonio García-Rios
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN) Institute of Health Carlos III Madrid Spain.,Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC) Reina Sofia University Hospital, University of Cordoba Spain
| | - Sara Castro-Barquero
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN) Institute of Health Carlos III Madrid Spain.,Department of Medicine, Faculty of Medicine and Life Sciences University of Barcelona Spain.,Institut d'Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS) Barcelona Spain
| | - María Rosa Bernal-López
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN) Institute of Health Carlos III Madrid Spain.,Instituto de Investigación Biomédica de Málaga-IBIMA Málaga Spain.,Department of Internal Medicine Regional University Hospital of Málaga Spain
| | - José Manuel Santos-Lozano
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN) Institute of Health Carlos III Madrid Spain.,Research Institute of Biomedical and Health Sciences (IUIBS) University of Las Palmas de Gran Canaria & Centro Hospitalario Universitario Insular Materno Infantil (CHUIMI), Canarian Health Service Las Palmas de Gran Canaria Spain
| | - Miguel Ruiz-Canela
- Department of Preventive Medicine and Public Health Navarra Institute for Health Research (IdiSNA), University of Navarra Pamplona Spain.,Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN) Institute of Health Carlos III Madrid Spain
| | - Antoni Castro-Salomó
- University Hospital of Sant Joan de Reus, Servei de Medicina Interna, Unitat de Nutrició Reus Spain.,Institut d'Investigació Sanitària Pere Virgili (IISPV) Reus Spain
| | | | - Verónica Moldon
- Precision Nutrition Programme IMDEA Food, CEI UAM+CSIC Madrid Spain
| | - Vanessa Bullón-Vela
- Department of Preventive Medicine and Public Health Navarra Institute for Health Research (IdiSNA), University of Navarra Pamplona Spain
| | - Carolina Sorto-Sanchez
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN) Institute of Health Carlos III Madrid Spain.,Bioaraba Health Research Institute, Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country UPV/EHU Vitoria-Gasteiz Spain
| | - Juan Carlos Cenoz-Osinaga
- Department of Preventive Medicine and Public Health Navarra Institute for Health Research (IdiSNA), University of Navarra Pamplona Spain
| | - Liliana Gutiérrez
- University Hospital of Sant Joan de Reus, Servei de Medicina Interna, Unitat de Nutrició Reus Spain.,Institut d'Investigació Sanitària Pere Virgili (IISPV) Reus Spain
| | - Maira Mengual
- Precision Nutrition Programme IMDEA Food, CEI UAM+CSIC Madrid Spain
| | - Rosa María Lamuela-Raventós
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN) Institute of Health Carlos III Madrid Spain.,Lipids and Vascular Risk Unit, Internal Medicine Hospital Universitario de Bellvitge, Hospitalet de Llobregat Barcelona Spain
| | - Vicente Martín-Sánchez
- Group of Investigation in Interactions Gene-Environment and Health (GIIGAS) Institute of Biomedicine (IBIOMED), University of León Spain.,CIBER de Epidemiología y Salud Pública (CIBERESP) Instituto de Salud Carlos III Madrid Spain
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40
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Konieczna J, Fiol M, Colom A, Martínez-González MÁ, Salas-Salvadó J, Corella D, Soria-Florido MT, Martínez JA, Alonso-Gómez ÁM, Wärnberg J, Vioque J, López-Miranda J, Estruch R, Bernal-López MR, Lapetra J, Serra-Majem L, Bueno-Cavanillas A, Tur JA, Martín Sánchez V, Pintó X, Gaforio JJ, Matía-Martín P, Vidal J, Vázquez C, Daimiel L, Ros E, Bes-Rastrollo M, Pascual M, Sorlí JV, Goday A, Zulet MÁ, Moreno-Rodriguez A, Carmona González FJ, Valls-Enguix R, Janer JM, Garcia-Rios A, Casas R, Gomez-Perez AM, Santos-Lozano JM, Basterra-Gortari FJ, Martínez MÁ, Ortega-Azorin C, Bayó J, Abete I, Salaverria-Lete I, Ruiz-Canela M, Babio N, Carres L, Romaguera D. Does Consumption of Ultra-Processed Foods Matter for Liver Health? Prospective Analysis among Older Adults with Metabolic Syndrome. Nutrients 2022; 14:nu14194142. [PMID: 36235794 PMCID: PMC9570694 DOI: 10.3390/nu14194142] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Revised: 09/22/2022] [Accepted: 09/27/2022] [Indexed: 11/06/2022] Open
Abstract
Non-alcoholic fatty liver disease (NAFLD) includes a spectrum of liver alterations that can result in severe disease and even death. Consumption of ultra-processed foods (UPF) has been associated with obesity and related comorbidities. However, the link between UPF and NAFLD has not been sufficiently assessed. We aimed to investigate the prospective association between UPF consumption and liver health biomarkers. Methods: We followed for 1 year 5867 older participants with overweight/obesity and metabolic syndrome (MetS) from the PREDIMED-Plus trial. A validated 143-item semi-quantitative food frequency questionnaire was used to evaluate consumption of UPF at baseline, 6, and 12 months. The degree of processing for foods and beverages (g/day) was established according to the NOVA classification system. The non-invasive fatty liver index (FLI) and hepatic steatosis index (HSI) were used to evaluate liver health at three points in time. The associations between changes in UPF consumption (percentage of total daily dietary intake (g)) and liver biomarkers were assessed using mixed-effects linear models with repeated measurements. Results: In this cohort, UPF consumption at baseline was 8.19% (SD 6.95%) of total daily dietary intake in grams. In multivariable models, each 10% daily increment in UPF consumption in 1 year was associated with significantly greater FLI (β 1.60 points, 95% CI 1.24;1.96 points) and HSI (0.43, 0.29; 0.57) scores (all p-values < 0.001). These associations persisted statistically significant after adjusting for potential dietary confounders and NAFLD risk factors. Conclusions: A higher UPF consumption was associated with higher levels of NAFLD-related biomarkers in older adults with overweight/obesity and MetS.
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Affiliation(s)
- Jadwiga Konieczna
- Research Group on Nutritional Epidemiology & Cardiovascular Physiopathology (NUTRECOR), Health Research Institute of the Balearic Islands (IdISBa), University Hospital Son Espases (HUSE), 07120 Palma de Mallorca, Spain
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain
- Correspondence: ; Tel.: +34-871-20-5050 (ext. 64527)
| | - Miguel Fiol
- Research Group on Nutritional Epidemiology & Cardiovascular Physiopathology (NUTRECOR), Health Research Institute of the Balearic Islands (IdISBa), University Hospital Son Espases (HUSE), 07120 Palma de Mallorca, Spain
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain
| | - Antoni Colom
- Research Group on Nutritional Epidemiology & Cardiovascular Physiopathology (NUTRECOR), Health Research Institute of the Balearic Islands (IdISBa), University Hospital Son Espases (HUSE), 07120 Palma de Mallorca, Spain
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain
| | - Miguel Ángel Martínez-González
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain
- Department of Preventive Medicine and Public Health, IDISNA, University of Navarra, 31008 Pamplona, Spain
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Jordi Salas-Salvadó
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició, 43201 Reus, Spain
- University Hospital of Sant Joan de Reus, Nutrition Unit, 43204 Reus, Spain
- Institut d’Investigació Sanitària Pere Virgili (IISPV), 43204 Reus, Spain
| | - Dolores Corella
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain
- Department of Preventive Medicine, University of Valencia,46010 Valencia, Spain
| | - María Trinidad Soria-Florido
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d’Investigació Médica (IMIM), 08003 Barcelona, Spain
| | - J. Alfredo Martínez
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain
- Department of Nutrition, Food Sciences, and Physiology, University of Navarra, IDISNA, 31008 Pamplona, Spain
- Precision Nutrition and Cardiometabolic Health Program, IMDEA Food, CEI UAM + CSIC, 28049 Madrid, Spain
| | - Ángel M. Alonso-Gómez
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain
- Bioaraba Health Research Institute, Cardiovascular, Respiratory and Metabolic Area, Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country UPV/EHU, 01009 Vitoria-Gasteiz, Spain
| | - Julia Wärnberg
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain
- Department of Nursing, University of Málaga, Institute of Biomedical Research in Malaga (IBIMA), 29016 Málaga, Spain
| | - Jesús Vioque
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, 28029 Madrid, Spain
- Alicante Institute for Health and Biomedical Research (ISABIAL-UMH), 03010 Alicante, Spain
| | - José López-Miranda
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain
- Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, 14004 Cordoba, Spain
| | - Ramon Estruch
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain
- Department of Internal Medicine, Institut d’Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, 08007 Barcelona, Spain
| | - M. Rosa Bernal-López
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain
- Department of Internal Medicine, Regional University Hospital of Malaga, Instituto de Investigación Biomédica de Málaga (IBIMA), University of Málaga, 29009 Málaga, Spain
| | - José Lapetra
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain
- Department of Family Medicine, Research Unit, Distrito Sanitario Atención Primaria Sevilla, 41013 Sevilla, Spain
| | - Lluís Serra-Majem
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain
- Research Institute of Biomedical and Health Sciences (IUIBS), University of Las Palmas de Gran Canaria & Centro Hospitalario Universitario Insular Materno Infantil (CHUIMI), Canarian Health Service, 35001 Las Palmas de Gran Canaria, Spain
| | - Aurora Bueno-Cavanillas
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, 28029 Madrid, Spain
- Department of Preventive Medicine and Public Health, University of Granada, 18011 Granada, Spain
| | - Josep A. Tur
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain
- Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands, 07122 Palma de Mallorca, Spain
| | - Vicente Martín Sánchez
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, 28029 Madrid, Spain
- Institute of Biomedicine (IBIOMED), University of León, 24071 León, Spain
| | - Xavier Pintó
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain
- Lipids and Vascular Risk Unit, Internal Medicine, Hospital Universitario de Bellvitge Idibell-UB, Hospitalet de Llobregat, 08907 Barcelona, Spain
| | - José J. Gaforio
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, 28029 Madrid, Spain
- Departamento de Ciencias de la Salud, Centro de Estudios Avanzados en Olivar y Aceites de Oliva, Universidad de Jaén, 23071 Jaén, Spain
| | - Pilar Matía-Martín
- Department of Endocrinology and Nutrition, Instituto de Investigación Sanitaria Hospital Clínico San Carlos (IdISSC), 28040 Madrid, Spain
| | - Josep Vidal
- CIBER Diabetes y Enfermedades Metabólicas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
- Department of Endocrinology, Institut d’ Investigacions Biomédiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, 08007 Barcelona, Spain
| | - Clotilde Vázquez
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain
- Department of Endocrinology and Nutrition, Hospital Fundación Jimenez Díaz, Instituto de Investigaciones Biomédicas IISFJD, University Autonoma, 28040 Madrid, Spain
| | - Lidia Daimiel
- Nutritional Control of the Epigenome Group, Precision Nutrition and Obesity Program, IMDEA Food, CEI UAM + CSIC, 28049 Madrid, Spain
| | - Emilio Ros
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain
- Lipid Clinic, Department of Endocrinology and Nutrition, IDIBAPS, Hospital Clínic, 08036 Barcelona, Spain
| | - Maira Bes-Rastrollo
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain
- Department of Preventive Medicine and Public Health, IDISNA, University of Navarra, 31008 Pamplona, Spain
| | - María Pascual
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició, 43201 Reus, Spain
- University Hospital of Sant Joan de Reus, Nutrition Unit, 43204 Reus, Spain
- Institut d’Investigació Sanitària Pere Virgili (IISPV), 43204 Reus, Spain
| | - Jose V. Sorlí
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain
- Department of Preventive Medicine, University of Valencia,46010 Valencia, Spain
| | - Albert Goday
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d’Investigació Médica (IMIM), 08003 Barcelona, Spain
- Departament de Medicina, Universitat Autònoma de Barcelona, 08193 Barcelona, Spain
| | - María Ángeles Zulet
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain
- Department of Nutrition, Food Sciences, and Physiology, University of Navarra, IDISNA, 31008 Pamplona, Spain
| | - Anai Moreno-Rodriguez
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain
- Bioaraba Health Research Institute, Cardiovascular, Respiratory and Metabolic Area, Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country UPV/EHU, 01009 Vitoria-Gasteiz, Spain
| | - Francisco Jesús Carmona González
- Unidad de Gestión Clínica Torrequebrada, Distrito de Atención Primaria Costa del Sol, Servicio Andaluz de Salud, 29640 Benalmádena, Spain
| | | | - Juana M. Janer
- Research Group on Nutritional Epidemiology & Cardiovascular Physiopathology (NUTRECOR), Health Research Institute of the Balearic Islands (IdISBa), University Hospital Son Espases (HUSE), 07120 Palma de Mallorca, Spain
- Centro de Salud Camp Redó (UBS Son Sardina) Gerència Atenció Primària de Mallorca, 07010 Palma de Mallorca, Spain
| | - Antonio Garcia-Rios
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain
- Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, 14004 Cordoba, Spain
| | - Rosa Casas
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain
- Department of Internal Medicine, Institut d’Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, 08007 Barcelona, Spain
| | - Ana M. Gomez-Perez
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain
- Virgen de la Victoria Hospital, Department of Endocrinology, Instituto de Investigación Biomédica de Málaga (IBIMA), University of Málaga, 29071 Málaga, Spain
| | - José Manuel Santos-Lozano
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain
- Department of Family Medicine, Research Unit, Distrito Sanitario Atención Primaria Sevilla, 41013 Sevilla, Spain
| | - F. Javier Basterra-Gortari
- Department of Preventive Medicine and Public Health, IDISNA, University of Navarra, 31008 Pamplona, Spain
- Servicio de Endocrinología. Complejo Hospitalario de Navarra, Servicio Navarro de Salud, 31003 Pamplona, Spain
| | - María Ángeles Martínez
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició, 43201 Reus, Spain
- University Hospital of Sant Joan de Reus, Nutrition Unit, 43204 Reus, Spain
- Institut d’Investigació Sanitària Pere Virgili (IISPV), 43204 Reus, Spain
| | - Carolina Ortega-Azorin
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain
- Department of Preventive Medicine, University of Valencia,46010 Valencia, Spain
| | - Joan Bayó
- CAP El Clot, Institut Català de la Salut, 08018 Barcelona, Spain
| | - Itziar Abete
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain
- Department of Nutrition, Food Sciences, and Physiology, University of Navarra, IDISNA, 31008 Pamplona, Spain
| | - Itziar Salaverria-Lete
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain
- Bioaraba Health Research Institute, Cardiovascular, Respiratory and Metabolic Area, Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country UPV/EHU, 01009 Vitoria-Gasteiz, Spain
| | - Miguel Ruiz-Canela
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain
- Department of Preventive Medicine and Public Health, IDISNA, University of Navarra, 31008 Pamplona, Spain
| | - Nancy Babio
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició, 43201 Reus, Spain
- University Hospital of Sant Joan de Reus, Nutrition Unit, 43204 Reus, Spain
- Institut d’Investigació Sanitària Pere Virgili (IISPV), 43204 Reus, Spain
| | - Lourdes Carres
- Atención Primaria Sant Martí, Institut Català de la Salut, 08020 Barcelona, Spain
| | - Dora Romaguera
- Research Group on Nutritional Epidemiology & Cardiovascular Physiopathology (NUTRECOR), Health Research Institute of the Balearic Islands (IdISBa), University Hospital Son Espases (HUSE), 07120 Palma de Mallorca, Spain
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain
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Zamanillo-Campos R, Chaplin A, Romaguera D, Abete I, Salas-Salvadó J, Martín V, Estruch R, Vidal J, Ruiz-Canela M, Babio N, Fiol F, de Paz JA, Casas R, Olbeyra R, Martínez-González MA, García-Gavilán JF, Goday A, Fernandez-Lazaro CI, Martínez JA, Hu FB, Konieczna J. Longitudinal association of dietary carbohydrate quality with visceral fat deposition and other adiposity indicators. Clin Nutr 2022; 41:2264-2274. [PMID: 36084360 PMCID: PMC9529821 DOI: 10.1016/j.clnu.2022.08.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2022] [Revised: 08/09/2022] [Accepted: 08/12/2022] [Indexed: 11/03/2022]
Abstract
BACKGROUND & AIMS The quality of dietary carbohydrates rather than total carbohydrate intake may determine the accumulation of visceral fat; however, to date, few studies have examined the impact of diet on adiposity using specific imaging techniques. Thus, the aim of this prospective study was to investigate the association between concurrent changes in carbohydrate quality index (CQI) and objectively-quantified adiposity distribution over a year. METHODS We analyzed a cohort of 1476 participants aged 55-75 years with overweight/obesity and metabolic syndrome (MetS) from the PREDIMED-Plus randomized controlled trial. Dietary intake information was obtained at baseline, 6- and 12-months from a validated 143-item semi-quantitative food-frequency questionnaire, and CQI (range: 4 to 20) was calculated based on four dietary criteria: total dietary fibre, glycemic index, wholegrain/total grain carbohydrate ratio, and solid/total carbohydrate ratio. Overall and regional adiposity (total body fat, visceral fat and android-to-gynoid fat ratio) was quantified using dual-energy X-ray absorptiometry at all three time points. Multiple adjusted linear mixed-effects models were used to assess associations between concurrent changes in repeatedly measured CQI and adiposity over time. RESULTS After controlling for potential confounding factors, a 3-point increment in CQI over 12-month follow-up was associated with a decrease in visceral fat (β -0.067 z-score, 95% CI -0.088; -0.046, p < 0.001), android-to-gynoid fat ratio (-0.038, -0.059; -0.017, p < 0.001), and total fat (-0.064, -0.080; -0.047, p < 0.001). Fibre intake and the ratio of wholegrain/total grain showed the strongest inverse associations with all adiposity indicators. CONCLUSIONS In this prospective cohort of older adults with overweight/obesity and MetS, we found that improvements in dietary carbohydrate quality over a year were associated with concurrent favorable changes in visceral and overall fat deposition. These associations were mostly driven by dietary fibre and the wholegrain/total grain ratio. TRIAL REGISTRATION The trial was registered at the International Standard Randomized. CONTROLLED TRIAL: (ISRCTN: http://www.isrctn.com/ISRCTN89898870) with number 89898870 and registration date of 24 July 2014, retrospectively registered.
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Affiliation(s)
- Rocío Zamanillo-Campos
- Research Group on Preventive Activities and Promotion Illes Balears (GRAPP-caIB), Health Research Institute of the Balearic Islands (IdISBa), Primary Care Research Unit of Mallorca (IB-Salut), Palma de Mallorca, Spain
| | - Alice Chaplin
- Research Group on Nutritional Epidemiology & Cardiovascular Physiopathology (NUTRECOR), Health Research Institute of the Balearic Islands (IdISBa), University Hospital Son Espases (HUSE), Palma de Mallorca, Spain; Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Dora Romaguera
- Research Group on Nutritional Epidemiology & Cardiovascular Physiopathology (NUTRECOR), Health Research Institute of the Balearic Islands (IdISBa), University Hospital Son Espases (HUSE), Palma de Mallorca, Spain; Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain.
| | - Itziar Abete
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, Pamplona, University of Navarra, Navarra Institute for Health Research (IdiSNA), Pamplona, Spain
| | - Jordi Salas-Salvadó
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana, Reus, Spain; Institut d'Investigació Pere Virgili (IISPV), Reus, Spain
| | - Vicente Martín
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Institute of Biomedicine (IBIOMED), University of León, León, Spain
| | - Ramón Estruch
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Department of Internal Medicine, IDIBAPS, Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Josep Vidal
- CIBER Diabetes y Enfermedades Metabólicas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Department of Endocrinology, Institut d'Investigacions Biomédiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Miguel Ruiz-Canela
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Department of Preventive Medicine and Public Health, IdiSNA, University of Navarra, Pamplona, Spain
| | - Nancy Babio
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana, Reus, Spain; Institut d'Investigació Pere Virgili (IISPV), Reus, Spain
| | - Francisca Fiol
- Atención Primaria Mallorca, Centro de Salud Son Serra de la Vileta, Palma de Mallorca, Spain
| | | | - Rosa Casas
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Department of Internal Medicine, IDIBAPS, Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Romina Olbeyra
- Institut d'Investigacions Biomédiques August Pi Sunyer (IDIBAPS), Barcelona, Spain
| | - Miguel A Martínez-González
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Department of Preventive Medicine and Public Health, IdiSNA, University of Navarra, Pamplona, Spain
| | - Jesús F García-Gavilán
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana, Reus, Spain; Institut d'Investigació Pere Virgili (IISPV), Reus, Spain
| | - Albert Goday
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Cardiovascular Risk and Nutrition Research Group, Hospital del Mar Medical Research Institute (IMIM), Department of Medicine, University of Barcelona, Barcelona, Spain; Departament de Medicina, Universitat Autonoma de Barcelona, Barcelona, Spain
| | - Cesar I Fernandez-Lazaro
- Department of Preventive Medicine and Public Health, IdiSNA, University of Navarra, Pamplona, Spain
| | - J Alfredo Martínez
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, Pamplona, University of Navarra, Navarra Institute for Health Research (IdiSNA), Pamplona, Spain; Precision Nutrition and Cardiometabolic Health Program, IMDEA Food, CEI UAM + CSIC, Madrid, Spain
| | - Frank B Hu
- Department of Nutrition, Harvard TH Chan School of Public Health, Boston, MA, USA; Channing Division of Network Medicine, Department of Medicine, Brigham & Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Jadwiga Konieczna
- Research Group on Nutritional Epidemiology & Cardiovascular Physiopathology (NUTRECOR), Health Research Institute of the Balearic Islands (IdISBa), University Hospital Son Espases (HUSE), Palma de Mallorca, Spain; Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
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Ruiz-Canela M, Guasch-Ferré M, Razquin C, Toledo E, Hernández-Alonso P, Clish CB, Li J, Wittenbecher C, Dennis C, Alonso-Gómez Á, Almanza-Aguilera E, Liang L, Corella D, Gómez-Gracia E, Estruch R, Fiol M, Lapetra J, Serra-Majem L, Ros E, Arós F, Salas-Salvadó J, Hu FB, Martínez-González MÁ. Plasma acylcarnitines and risk of incident heart failure and atrial fibrillation: the Prevención con dieta mediterránea study. Revista Española de Cardiología (English Edition) 2022; 75:649-658. [PMID: 34866031 PMCID: PMC9160218 DOI: 10.1016/j.rec.2021.10.005] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/01/2021] [Accepted: 10/07/2021] [Indexed: 11/29/2022]
Abstract
INTRODUCTION AND OBJECTIVES Fatty acid metabolic dysregulation in mitochondria is a common mechanism involved in the development of heart failure (HF) and atrial fibrillation (AF). We evaluated the association between plasma acylcarnitine levels and the incidence of HF or AF, and whether the mediterranean diet (MedDiet) may attenuate the association between acylcarnitines and HF or AF risk. METHODS Two case-control studies nested within the Prevención con dieta mediterránea (PREDIMED) trial. High cardiovascular risk participants were recruited in Spain: 326 incident HF and 509 AF cases individually matched to 1 to 3 controls. Plasma acylcarnitines were measured with high-throughput liquid chromatography-tandem mass spectrometry. Conditional logistic regression models were fitted to estimate multivariable OR and 95%CI. Additive and multiplicative interactions were assessed by intervention group, obesity (body mass index ≥ 30 kg/m2), and type 2 diabetes. RESULTS Elevated levels of medium- and long-chain acylcarnitines were associated with increased HF risk (adjusted ORperDE, 1.28; 95%CI, 1.09-1.51 and adjusted ORperDE, 1.21; 95%CI, 1.04-1.42, respectively). A significant association was observed for AF risk with long-chain acylcarnitines: 1.20 (1.06-1.36). Additive interaction of the association between long-chain acylcarnitines and AF by the MediDiet supplemented with extra virgin olive oil (P for additive interaction=.036) and by obesity (P=.022) was observed in an inverse and direct manner, respectively. CONCLUSIONS Among individuals at high cardiovascular risk, elevated long-chain acylcarnitines were associated with a higher risk of incident HF and AF. An intervention with MedDiet+extra-virgin olive oil may reduce AF risk associated with long-chain acylcarnitines. This trial was registered at controlled-trials.com (Identifier: ISRCTN35739639).
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Affiliation(s)
- Miguel Ruiz-Canela
- Departamento de Medicina Preventiva y Salud Pública, Universidad de Navarra, Pamplona, Navarra, Spain; Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Navarra, Spain; CIBER Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain.
| | - Marta Guasch-Ferré
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, United States; Channing Division for Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, MA, United States
| | - Cristina Razquin
- Departamento de Medicina Preventiva y Salud Pública, Universidad de Navarra, Pamplona, Navarra, Spain; Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Navarra, Spain; CIBER Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain
| | - Estefanía Toledo
- Departamento de Medicina Preventiva y Salud Pública, Universidad de Navarra, Pamplona, Navarra, Spain; Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Navarra, Spain; CIBER Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain
| | - Pablo Hernández-Alonso
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain; Unitat de Nutrició Humana, Departament de Bioquímica i Biotecnologia, Universitat Rovira i Virgili, Reus, Tarragona, Spain; Institut d'Investigació Sanitària Pere iVirgili, Hospital Universitari Sant Joan de Reus, Reus, Tarragona, Spain
| | - Clary B Clish
- Broad 13Broad Institute and MIT, Harvard University, Cambridge, MA, United States
| | - Jun Li
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, United States
| | - Clemens Wittenbecher
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, United States; Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany; German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Courtney Dennis
- Broad 13Broad Institute and MIT, Harvard University, Cambridge, MA, United States
| | - Ángel Alonso-Gómez
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain; Instituto Sanitario de Investigación de Bioaraba, Servicio Vasco de Salud-Osakidetza, Hospital Universitario de Araba; Universidad del País Vasco UPV/EHU; Vitoria-Gasteiz, Spain
| | - Enrique Almanza-Aguilera
- Unidad de Riesgo Cardiovascular y Nutrición, Institut Hospital del Mar d'Investigacions Mèdiques (IMIM), Barcelona, Spain; Centro de Investigación Biomédica en Red Fragilidad y Envejecimiento Saludable (CIBERFES), Instituto de Salud Carlos III, Madrid, Spain; Instituto de Nutrición y Seguridad Alimentaria (INSA-UB), Universidad de Barcelona, Santa Coloma de Gramanet, Barcelona, Spain
| | - Liming Liang
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, United States; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, United States
| | - Dolores Corella
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain; Departamento de Medicina Preventiva, Universidad de Valencia, Valencia, Spain
| | - Enrique Gómez-Gracia
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain; Departamento de Medicina Preventiva, Universidad de Málaga, Málaga, Spain
| | - Ramón Estruch
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain; Departamento de Medicina Interna, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clínic, Universidad de Barcelona, Barcelona, Spain
| | - Miguel Fiol
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain; Plataforma de Ensayos Clínicos, Instituto de Investigación Sanitaria Illes Balears (IdISBa), Hospital Universitario Son Espases, Palma de Mallorca, Balearic Islands, Spain
| | - José Lapetra
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain; Departamento de Medicina de familia, Unidad de Investigación, Distrito Sanitario Atención Primaria Sevilla, Seville, Spain
| | - Lluis Serra-Majem
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain; Grupo de Investigación de Nutrición, Instituto de Investigación Biomédica y Ciencias de la Salud (IUIBS), Universidad de Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain
| | - Emilio Ros
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain; Unidad Clínica de Lípidos, Departamento de Nutrición y Endocrinología, Institut d'Investigacions Biomèdiques Agust Pi i Sunyer (IDIBAPS), Hospital Clínic, Universidad de Barcelona, Barcelona, Spain
| | - Fernando Arós
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain; Instituto Sanitario de Investigación de Bioaraba, Servicio Vasco de Salud-Osakidetza, Hospital Universitario de Araba; Universidad del País Vasco UPV/EHU; Vitoria-Gasteiz, Spain
| | - Jordi Salas-Salvadó
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain; Unitat de Nutrició Humana, Departament de Bioquímica i Biotecnologia, Universitat Rovira i Virgili, Reus, Tarragona, Spain; Institut d'Investigació Sanitària Pere iVirgili, Hospital Universitari Sant Joan de Reus, Reus, Tarragona, Spain
| | - Frank B Hu
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, United States; Channing Division for Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, MA, United States
| | - Miguel Ángel Martínez-González
- Departamento de Medicina Preventiva y Salud Pública, Universidad de Navarra, Pamplona, Navarra, Spain; Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Navarra, Spain; CIBER Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, United States
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Hernández Ruiz Á, López-Trigo JA, Muñoz-Ruiz MA, Ruiz-Canela M, Molina-Montes E, López-Mongil R. Descripción de un indicador de calidad de la dieta para su aplicación en residencias de ancianos: Quality Index For Nutrition In Nursing Homes – QUINN. Rev Esp Nutr Hum Diet 2022. [DOI: 10.14306/renhyd.26.2.1630] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022] Open
Abstract
Introducción: Los indicadores de calidad de la dieta (Diet Quality Indicators, DQIns) son herramientas para evaluar las características de patrones de dieta basados en el conocimiento de la relación entre los factores dietéticos, los estilos de vida y resultados de salud. El objetivo de este artículo fue proponer un nuevo índice de calidad de la dieta utilizando un enfoque a priori para su aplicación en residencias de ancianos, Quality Index for Nutrition in Nursing Homes, índice QUINN.
Metodología: La elección de los componentes se basó en una revisión rápida realizada sobre índices previamente publicados y los principales grupos de alimentos relacionados con la prevención de síndromes geriátricos y de las enfermedades crónicas de alta prevalencia en población geriátrica. El índice QUINN se basó en 15 componentes dietéticos-alimentos, 12 de los cuales se referían a alimentos básicos de una dieta saludable (verduras, frutas, legumbres, aceite de oliva – preferiblemente virgen extra-, cereales, lácteos, pescados blancos y mariscos, carnes blancas y huevos, componentes positivos); otras grasas, carnes rojas y procesadas y dulces, componentes negativos), junto con otros 3 componentes adicionales positivos (variedad de verduras y frutas, pescado azul y cereales integrales). Cada componente se clasificó en 4 categorías (0, 1, 2 o 3 puntos), con un rango final de 0 a 45 puntos.
Conclusiones: Desde nuestro conocimiento el índice QUINN es el primer índice de calidad de la dieta a priori desarrollado específicamente para evaluar los menús ofertados en las residencias de ancianos. Esta herramienta proporcionará información sobre la calidad de la dieta para el diseño de los menús. El índice QUINN podría ser un instrumento útil para implementar estrategias de intervención para mejorar de forma sencilla la dieta ofertada en las instituciones y que redundar en mejora del estado nutricional y la salud de la población geriátrica institucionalizada.
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Qi Q, Li J, Yu B, Moon JY, Chai JC, Merino J, Hu J, Ruiz-Canela M, Rebholz C, Wang Z, Usyk M, Chen GC, Porneala BC, Wang W, Nguyen Q, Feofanova EV, Grove ML, Wang TJ, Gerszten RE, Dupuis J, Salas-Salvadó J, Bao W, Perkins DL, Daviglus ML, Thyagarajan B, Cai J, Wang T, Manson JE, Martínez-González MA, Selvin E, Rexrode KM, Clish CB, Hu FB, Meigs JB, Knight R, Burk RD, Boerwinkle E, Kaplan RC. Host and gut microbial tryptophan metabolism and type 2 diabetes: an integrative analysis of host genetics, diet, gut microbiome and circulating metabolites in cohort studies. Gut 2022; 71:1095-1105. [PMID: 34127525 PMCID: PMC8697256 DOI: 10.1136/gutjnl-2021-324053] [Citation(s) in RCA: 85] [Impact Index Per Article: 42.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/07/2021] [Accepted: 06/07/2021] [Indexed: 01/05/2023]
Abstract
OBJECTIVE Tryptophan can be catabolised to various metabolites through host kynurenine and microbial indole pathways. We aimed to examine relationships of host and microbial tryptophan metabolites with incident type 2 diabetes (T2D), host genetics, diet and gut microbiota. METHOD We analysed associations between circulating levels of 11 tryptophan metabolites and incident T2D in 9180 participants of diverse racial/ethnic backgrounds from five cohorts. We examined host genome-wide variants, dietary intake and gut microbiome associated with these metabolites. RESULTS Tryptophan, four kynurenine-pathway metabolites (kynurenine, kynurenate, xanthurenate and quinolinate) and indolelactate were positively associated with T2D risk, while indolepropionate was inversely associated with T2D risk. We identified multiple host genetic variants, dietary factors, gut bacteria and their potential interplay associated with these T2D-relaetd metabolites. Intakes of fibre-rich foods, but not protein/tryptophan-rich foods, were the dietary factors most strongly associated with tryptophan metabolites. The fibre-indolepropionate association was partially explained by indolepropionate-associated gut bacteria, mostly fibre-using Firmicutes. We identified a novel association between a host functional LCT variant (determining lactase persistence) and serum indolepropionate, which might be related to a host gene-diet interaction on gut Bifidobacterium, a probiotic bacterium significantly associated with indolepropionate independent of other fibre-related bacteria. Higher milk intake was associated with higher levels of gut Bifidobacterium and serum indolepropionate only among genetically lactase non-persistent individuals. CONCLUSION Higher milk intake among lactase non-persistent individuals, and higher fibre intake were associated with a favourable profile of circulating tryptophan metabolites for T2D, potentially through the host-microbial cross-talk shifting tryptophan metabolism toward gut microbial indolepropionate production.
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Affiliation(s)
- Qibin Qi
- Department of Epidemiology and Population Health, Yeshiva University Albert Einstein College of Medicine, Bronx, New York, USA .,Department of Nutrtion, Harvard University T H Chan School of Public Health, Boston, Massachusetts, USA
| | - Jun Li
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA,Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Bing Yu
- Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, the University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Jee-Young Moon
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY 10461, USA
| | - Jin Choul Chai
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY 10461, USA
| | - Jordi Merino
- Diabetes Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA 02114, USA,Programs in Metabolism and Medical & Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA,Department of Medicine, Harvard Medical School, Boston, MA 02115, USA,Vascular Medicine and Metabolism Unit, Research Unit on Lipids and Atherosclerosis, Institut d’Investigacio Sanitaria Pere Virgili, Universitat Rovira i Virgili, Reus 43201, Spain
| | - Jie Hu
- Division of Women’s Health, Department of Medicine at Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Miguel Ruiz-Canela
- Department of Preventive Medicine and Public Health, University of Navarra, Pamplona 31008, Spain,CIBER Fisiopatologıa de la Obesidad y Nutricion, Instituto de Salud Carlos III, Madrid 28029, Spain,Instituto de Investigacion Sanitaria de Navarra, Edificio LUNA-Navarrabiomed, Pamplona 31008, Spain
| | - Casey Rebholz
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland 21287, USA
| | - Zheng Wang
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY 10461, USA
| | - Mykhaylo Usyk
- Departments of Pediatrics, Microbiology and Immunology, and Gynecology and Women’s Health, Albert Einstein College of Medicine, Bronx, NY 10461, USA
| | - Guo-Chong Chen
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY 10461, USA
| | - Bianca C. Porneala
- Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Wenshuang Wang
- Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, the University of Texas Health Science Center at Houston, Houston, TX 77030, USA,Department of Mathematics, University of Houston, Houston, TX 77204, USA
| | - Quynh Nguyen
- Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, the University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Elena V. Feofanova
- Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, the University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Megan L. Grove
- Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, the University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Thomas J. Wang
- Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, USA
| | - Robert E. Gerszten
- Programs in Metabolism and Medical & Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA,Division of Cardiovascular Medicine, Beth Israel Deaconess Medical Center, Boston, MA 02215, USA
| | - Josée Dupuis
- Department of Biostatistics, Boston University School of Public Health, Boston, MA 02118, USA
| | - Jordi Salas-Salvadó
- CIBER Fisiopatologıa de la Obesidad y Nutricion, Instituto de Salud Carlos III, Madrid 28029, Spain,Human Nutrition Unit, Faculty of Medicine and Health Sciences, Institut d’Investigacio Sanitaria Pere Virgili, Universitat Rovira i Virgili, Reus 43201, Spain
| | - Wei Bao
- Department of Epidemiology, the University of Iowa College of Public Health, Iowa City, IA 52242, USA
| | - David L. Perkins
- Department of Medicine, University of Illinois College of Medicine, Chicago, IL 60612, USA
| | - Martha L. Daviglus
- Institute of Minority Health Research, University of Illinois College of Medicine, Chicago, IL 60612, USA
| | - Bharat Thyagarajan
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN 55455, USA
| | - Jianwen Cai
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27516 USA
| | - Tao Wang
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY 10461, USA
| | - JoAnn E. Manson
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA,Division of Preventive Medicine, Department of Medicine at Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02215, USA
| | - Miguel Angel Martínez-González
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA,Department of Preventive Medicine and Public Health, University of Navarra, Pamplona 31008, Spain,CIBER Fisiopatologıa de la Obesidad y Nutricion, Instituto de Salud Carlos III, Madrid 28029, Spain,Instituto de Investigacion Sanitaria de Navarra, Edificio LUNA-Navarrabiomed, Pamplona 31008, Spain
| | - Elizabeth Selvin
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland 21287, USA
| | - Kathryn M. Rexrode
- Division of Women’s Health, Department of Medicine at Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Clary B. Clish
- Metabolomics Platform, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Frank B. Hu
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA,Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA,Channing Division of Network Medicine, Department of Medicine at Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - James B. Meigs
- Programs in Metabolism and Medical & Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA,Department of Medicine, Harvard Medical School, Boston, MA 02115, USA,Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Rob Knight
- Departments of Pediatrics, School of Medicine; Center for Microbiome Innovation, Department of Computer Science and Engineering, Jacobs School of Engineering, University of California San Diego, La Jolla, CA 92093, USA
| | - Robert D. Burk
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY 10461, USA,Departments of Pediatrics, Microbiology and Immunology, and Gynecology and Women’s Health, Albert Einstein College of Medicine, Bronx, NY 10461, USA
| | - Eric Boerwinkle
- Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, the University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Robert C. Kaplan
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY 10461, USA,Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
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45
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Goni L, Razquin C, Toledo E, Guasch-Ferré M, Clish CB, Babio N, Wittenbecher C, Atzeni A, Li J, Liang L, Dennis C, Alonso-Gómez Á, Fitó M, Corella D, Gómez-Gracia E, Estruch R, Fiol M, Lapetra J, Serra-Majem L, Ros E, Arós F, Salas-Salvadó J, Hu FB, Martínez-González MA, Ruiz-Canela M. Arginine catabolism metabolites and atrial fibrillation or heart failure risk: 2 case-control studies within the Prevención con Dieta Mediterránea (PREDIMED) trial. Am J Clin Nutr 2022; 116:653-662. [PMID: 35575609 PMCID: PMC9437981 DOI: 10.1093/ajcn/nqac139] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Revised: 04/25/2022] [Accepted: 05/11/2022] [Indexed: 11/15/2022] Open
Abstract
BACKGROUND Arginine-derived metabolites are involved in oxidative and inflammatory processes related to endothelial functions and cardiovascular risks. OBJECTIVES We prospectively examined the associations of arginine catabolism metabolites with the risks of atrial fibrillation (AF) or heart failure (HF), and evaluated the potential modifications of these associations through Mediterranean diet (MedDiet) interventions in a large, primary-prevention trial. METHODS Two nested, matched, case-control studies were designed within the Prevención con Dieta Mediterránea (PREDIMED) trial. We selected 509 incident cases and 547 matched controls for the AF case-control study and 326 cases and 402 matched controls for the HF case-control study using incidence density sampling. Fasting blood samples were collected at baseline and arginine catabolism metabolites were measured using LC-tandem MS. Multivariable conditional logistic regression models were applied to test the associations between the metabolites and incident AF or HF. Interactions between metabolites and intervention groups (MedDiet groups compared with control group) were analyzed with the likelihood ratio test. RESULTS Inverse association with incident AF was observed for arginine (OR per 1 SD, 0.83; 95% CI: 0.73-0.94), whereas a positive association was found for N1-acetylspermidine (OR for Q4 compared with Q1 1.58; 95% CI: 1.13-2.25). For HF, inverse associations were found for arginine (OR per 1 SD, 0.82; 95% CI: 0.69-0.97) and homoarginine (OR per 1 SD, 0.81; 95% CI: 0.68-0.96), and positive associations were found for the asymmetric dimethylarginine (ADMA) and symmetric dimethlyarginine (SDMA) ratio (OR per 1 SD, 1.19; 95% CI: 1.02-1.41), N1-acetylspermidine (OR per 1 SD, 1.34; 95% CI: 1.12-1.60), and diacetylspermine (OR per 1 SD, 1.20; 95% CI: 1.02-1.41). In the stratified analysis according to the dietary intervention, the lower HF risk associated with arginine was restricted to participants in the MedDiet groups (P-interaction = 0.044). CONCLUSIONS Our results suggest that arginine catabolism metabolites could be involved in AF and HF. Interventions with the MedDiet may contribute to strengthen the inverse association between arginine and the risk of HF. This trial was registered at controlled-trials.com as ISRCTN35739639.
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Affiliation(s)
- Leticia Goni
- Department of Preventive Medicine and Public Health, University of Navarra, Pamplona, Spain,IdiSNA (Instituto de Investigación Sanitaria de Navarra), Pamplona, Spain,Centro de Investigacion Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain
| | - Cristina Razquin
- Department of Preventive Medicine and Public Health, University of Navarra, Pamplona, Spain,IdiSNA (Instituto de Investigación Sanitaria de Navarra), Pamplona, Spain,Centro de Investigacion Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain
| | - Estefanía Toledo
- Department of Preventive Medicine and Public Health, University of Navarra, Pamplona, Spain,IdiSNA (Instituto de Investigación Sanitaria de Navarra), Pamplona, Spain,Centro de Investigacion Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain
| | - Marta Guasch-Ferré
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA,Channing Division for Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, MA, USA
| | - Clary B Clish
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Nancy Babio
- Centro de Investigacion Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain,Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana, Reus, Spain,Institut d'Investigació Sanitària Pere i Virgili, Hospital Universitari Sant Joan de Reus, Reus, Spain
| | - Clemens Wittenbecher
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA,Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany,German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Alessandro Atzeni
- Centro de Investigacion Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain,Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana, Reus, Spain,Institut d'Investigació Sanitària Pere i Virgili, Hospital Universitari Sant Joan de Reus, Reus, Spain
| | - Jun Li
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Liming Liang
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA,Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | | | - Ángel Alonso-Gómez
- Centro de Investigacion Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain,Bioaraba Health Research Institute, Osakidetza Basque Health Service, Araba University Hospital, Vitoria-Gasteiz, Spain,University of the Basque Country (UPV/EHU), Vitoria-Gasteiz, Spain
| | - Montserrat Fitó
- Centro de Investigacion Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain,Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar d'Investigacions Mèdiques (IMIM), Barcelona, Spain
| | - Dolores Corella
- Centro de Investigacion Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain,Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Enrique Gómez-Gracia
- Department of Preventive Medicine, University of Malaga, Instituto de Investigación Biomédica de Málaga (IBIMA), Málaga, Spain
| | - Ramón Estruch
- Centro de Investigacion Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain,Department of Internal Medicine, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Miquel Fiol
- Centro de Investigacion Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain,Plataforma de Ensayos Clínicos, Instituto de Investigación Sanitaria Illes Balears (IdISBa), Hospital Universitario Son Espases, Palma de Mallorca, Spain
| | - Jose Lapetra
- Centro de Investigacion Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain,Department of Family Medicine, Research Unit, Distrito Sanitario Atención Primaria Sevilla, Sevilla, Spain
| | - Lluis Serra-Majem
- Centro de Investigacion Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain,Nutrition Research Group, Research Institute of Biomedical and Health Sciences (IUIBS), University of Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain
| | - Emilio Ros
- Centro de Investigacion Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain,Lipid Clinic, Department of Endocrinology and Nutrition, August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Fernando Arós
- Centro de Investigacion Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain,Bioaraba Health Research Institute, Osakidetza Basque Health Service, Araba University Hospital, Vitoria-Gasteiz, Spain,University of the Basque Country (UPV/EHU), Vitoria-Gasteiz, Spain
| | - Jordi Salas-Salvadó
- Centro de Investigacion Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain,Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana, Reus, Spain,Institut d'Investigació Sanitària Pere i Virgili, Hospital Universitari Sant Joan de Reus, Reus, Spain
| | - Frank B Hu
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA,Channing Division for Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, MA, USA
| | - Miguel A Martínez-González
- Department of Preventive Medicine and Public Health, University of Navarra, Pamplona, Spain,IdiSNA (Instituto de Investigación Sanitaria de Navarra), Pamplona, Spain,Centro de Investigacion Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain,Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
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46
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Valle-Hita C, Díaz-López A, Becerra-Tomás N, Martínez-González MA, García VR, Corella D, Goday A, Martínez JA, Alonso-Gómez ÁM, Wärnberg J, Vioque J, Romaguera D, López-Miranda J, Estruch R, Tinahones FJ, Lapetra J, Serra-Majem L, Cano-Ibáñez N, Tur JA, Rubín-García M, Pintó X, Delgado-Rodríguez M, Matía-Martín P, Vidal J, Fontao SM, Daimiel L, Ros E, Toledo E, Sorlí JV, Roca C, Abete I, Moreno-Rodriguez A, Crespo-Oliva E, Candela-García I, Morey M, Garcia-Rios A, Casas R, Fernandez-Garcia JC, Santos-Lozano JM, Diez-Espino J, Ortega-Azorín C, Comas M, Zulet MA, Sorto-Sanchez C, Ruiz-Canela M, Fitó M, Salas-Salvadó J, Babio N. Prospective associations between a priori dietary patterns adherence and kidney function in an elderly Mediterranean population at high cardiovascular risk. Eur J Nutr 2022; 61:3095-3108. [PMID: 35366708 PMCID: PMC9363380 DOI: 10.1007/s00394-022-02838-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2021] [Accepted: 02/11/2022] [Indexed: 02/07/2023]
Abstract
Purpose To assess the association between three different a priori dietary patterns adherence (17-item energy reduced-Mediterranean Diet (MedDiet), Trichopoulou-MedDiet and Dietary Approach to Stop Hypertension (DASH)), as well as the Protein Diet Score and kidney function decline after one year of follow-up in elderly individuals with overweight/obesity and metabolic syndrome (MetS). Methods We prospectively analyzed 5675 participants (55–75 years) from the PREDIMED-Plus study. At baseline and at one year, we evaluated the creatinine-based estimated glomerular filtration rate (eGFR) and food-frequency questionnaires-derived dietary scores. Associations between four categories (decrease/maintenance and tertiles of increase) of each dietary pattern and changes in eGFR (ml/min/1.73m2) or ≥ 10% eGFR decline were assessed by fitting multivariable linear or logistic regression models, as appropriate. Results Participants in the highest tertile of increase in 17-item erMedDiet Score showed higher upward changes in eGFR (β: 1.87 ml/min/1.73m2; 95% CI: 1.00–2.73) and had lower odds of ≥ 10% eGFR decline (OR: 0.62; 95% CI: 0.47–0.82) compared to individuals in the decrease/maintenance category, while Trichopoulou-MedDiet and DASH Scores were not associated with any renal outcomes. Those in the highest tertile of increase in Protein Diet Score had greater downward changes in eGFR (β: − 0.87 ml/min/1.73m2; 95% CI: − 1.73 to − 0.01) and 32% higher odds of eGFR decline (OR: 1.32; 95% CI: 1.00–1.75). Conclusions Among elderly individuals with overweight/obesity and MetS, only higher upward change in the 17-item erMedDiet score adherence was associated with better kidney function after one year. However, increasing Protein Diet Score appeared to have an adverse impact on kidney health. Trial Registration Number: ISRCTN89898870 (Data of registration: 2014). Supplementary Information The online version contains supplementary material available at 10.1007/s00394-022-02838-7.
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Affiliation(s)
- Cristina Valle-Hita
- Department of Biochemistry and Biotechonology, Universitat Rovira i Virgili, Human Nutrition Unit, Carrer Sant Llorenç, 21, 43201, Reus, Spain
- Institut ďInvestigació Sanitària Pere Virgili (IISPV), 43204, Reus, Spain
- University Hospital of Sant Joan de Reus, Nutrition Unit, 43201, Reus, Spain
| | - Andrés Díaz-López
- Department of Biochemistry and Biotechonology, Universitat Rovira i Virgili, Human Nutrition Unit, Carrer Sant Llorenç, 21, 43201, Reus, Spain
- Institut ďInvestigació Sanitària Pere Virgili (IISPV), 43204, Reus, Spain
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y la Nutrición (CIBERObn), Institute of Health Carlos III, 28029, Madrid, Spain
- Serra Hunter Fellow, Nutrition and Mental Health Research Group (NUTRISAM), Universitat Rovira i Virgili, 43201, Reus, Spain
| | - Nerea Becerra-Tomás
- Department of Biochemistry and Biotechonology, Universitat Rovira i Virgili, Human Nutrition Unit, Carrer Sant Llorenç, 21, 43201, Reus, Spain.
- Institut ďInvestigació Sanitària Pere Virgili (IISPV), 43204, Reus, Spain.
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y la Nutrición (CIBERObn), Institute of Health Carlos III, 28029, Madrid, Spain.
- Department of Epidemiology and Biostatistics, School of Public Health, Faculty of Medicine, Imperial College London, St Mary's Campus, Norfolk Place, London, W2 1PG, UK.
| | - Miguel A Martínez-González
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y la Nutrición (CIBERObn), Institute of Health Carlos III, 28029, Madrid, Spain
- Department of Preventive Medicine and Public Health, University of Navarra, IdiSNA, 31008, Pamplona, Spain
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA
| | - Verónica Ruiz García
- Department of Biochemistry and Biotechonology, Universitat Rovira i Virgili, Human Nutrition Unit, Carrer Sant Llorenç, 21, 43201, Reus, Spain
- University Hospital of Tarragona Joan XXIII, 43005, Tarragona, Spain
| | - Dolores Corella
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y la Nutrición (CIBERObn), Institute of Health Carlos III, 28029, Madrid, Spain
- Department of Preventive Medicine, University of Valencia, 46010, Valencia, Spain
| | - Albert Goday
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y la Nutrición (CIBERObn), Institute of Health Carlos III, 28029, Madrid, Spain
- Cardiovascular Risk and Nutrition Research Group (CARIN), Hospital del Mar Research Institute (IMIM), Departament de Medicina, Universitat Autònoma de Barcelona, 08003, Barcelona, Spain
| | - J Alfredo Martínez
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y la Nutrición (CIBERObn), Institute of Health Carlos III, 28029, Madrid, Spain
- Department of Nutrition, Food Science and Physiology, University of Navarra, IdiSNA, 31008, Pamplona, Spain
- Precision Nutrition Program, CEI UAM + CSIC, IMDEA Food and Health Sciences, 28049, Madrid, Spain
| | - Ángel M Alonso-Gómez
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y la Nutrición (CIBERObn), Institute of Health Carlos III, 28029, Madrid, Spain
- Bioaraba Health Research Institute, Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country UPV/EHU, 01009, Vitoria-Gasteiz, Spain
| | - Julia Wärnberg
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y la Nutrición (CIBERObn), Institute of Health Carlos III, 28029, Madrid, Spain
- Department of Nursing, University of Málaga, Institute of Biomedical Research in Malaga (IBIMA), 29071, Málaga, Spain
| | - Jesús Vioque
- Instituto de Investigación Sanitaria y Biomédica de Alicante, Miguel Hernandez University (ISABIAL-UMH), 46020, Alicante, Spain
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, 28029, Madrid, Spain
| | - Dora Romaguera
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y la Nutrición (CIBERObn), Institute of Health Carlos III, 28029, Madrid, Spain
- Health Research Institute of the Balearic Islands (IdISBa), 07120, Palma de Mallorca, Spain
| | - José López-Miranda
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y la Nutrición (CIBERObn), Institute of Health Carlos III, 28029, Madrid, Spain
- Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, 14004, Cordoba, Spain
| | - Ramon Estruch
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y la Nutrición (CIBERObn), Institute of Health Carlos III, 28029, Madrid, Spain
- Department of Internal Medicine, Institutd'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, 08036, Barcelona, Spain
| | - Francisco J Tinahones
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y la Nutrición (CIBERObn), Institute of Health Carlos III, 28029, Madrid, Spain
- Department of Endocrinology, Virgen de la Victoria Hospital Instituto de Investigación Biomédica de Málaga (IBIMA), University of Málaga, 29010, Málaga, Spain
| | - José Lapetra
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y la Nutrición (CIBERObn), Institute of Health Carlos III, 28029, Madrid, Spain
- Department of Family Medicine, Research Unit, Distrito Sanitario Atención Primaria Sevilla, 41013, Sevilla, Spain
| | - Luís Serra-Majem
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y la Nutrición (CIBERObn), Institute of Health Carlos III, 28029, Madrid, Spain
- Preventive Medicine Service, University of Las Palmas de Gran Canaria, Research Institute of Biomedical and Health Sciences (IUIBS), Centro Hospitalario Universitario Insular Materno Infantil (CHUIMI), Canarian Health Service, 35016, Las Palmas, Spain
| | - Naomi Cano-Ibáñez
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Department of Preventive Medicine, University of Granada, 18071, Granada, Spain
| | - Josep A Tur
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y la Nutrición (CIBERObn), Institute of Health Carlos III, 28029, Madrid, Spain
- Health Research Institute of the Balearic Islands (IdISBa), 07120, Palma de Mallorca, Spain
- Research Group On Community Nutrition and Oxidative Stress, University of Balearic Islands, 07122, Palma de Mallorca, Spain
| | - María Rubín-García
- Institute of Biomedicine (IBIOMED), University of León, 24071, León, Spain
| | - Xavier Pintó
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y la Nutrición (CIBERObn), Institute of Health Carlos III, 28029, Madrid, Spain
- Lipids and Vascular Risk Unit, Internal Medicine, Hospital Universitario de Bellvitge-IDIBELL, Hospitalet de Llobregat, 08907, Barcelona, Spain
- University of Barcelona, 08007, Barcelona, Spain
| | - Miguel Delgado-Rodríguez
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Division of Preventive Medicine, Faculty of Medicine, University of Jaén, 23071, Jaén, Spain
| | - Pilar Matía-Martín
- Department of Endocrinology and Nutrition, Instituto de Investigación Sanitaria Hospital Clínico San Carlos (IdISSC), 28040, Madrid, Spain
| | - Josep Vidal
- Departament of Endocrinology, IDIBAPS, Hospital Clínic, University of Barcelona, 08036, Barcelona, Spain
- CIBER Diabetes y Enfermedades Metabólicas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain
| | - Sebastian Mas Fontao
- Department of Endocrinology and Nutrition, University Hospital Fundación Jimenez Díaz, Instituto de Investigaciones Biomédicas IISFJD, 28040, Madrid, Spain
| | - Lidia Daimiel
- CEI UAM + CSIC, Nutritional Control of the Epigenome Group, IMDEA Food, 28049, Madrid, Spain
| | - Emilio Ros
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y la Nutrición (CIBERObn), Institute of Health Carlos III, 28029, Madrid, Spain
- Department of Endocrinology and Nutrition, Lipid Clinic, Hospital Clínic, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), 08036, Barcelona, Spain
| | - Estefania Toledo
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y la Nutrición (CIBERObn), Institute of Health Carlos III, 28029, Madrid, Spain
- Department of Preventive Medicine and Public Health, University of Navarra, IdiSNA, 31008, Pamplona, Spain
| | - José V Sorlí
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y la Nutrición (CIBERObn), Institute of Health Carlos III, 28029, Madrid, Spain
- Department of Preventive Medicine, University of Valencia, 46010, Valencia, Spain
| | - C Roca
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y la Nutrición (CIBERObn), Institute of Health Carlos III, 28029, Madrid, Spain
- Cardiovascular Risk and Nutrition Research Group (CARIN), Hospital del Mar Research Institute (IMIM), Departament de Medicina, Universitat Autònoma de Barcelona, 08003, Barcelona, Spain
| | - Iztiar Abete
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y la Nutrición (CIBERObn), Institute of Health Carlos III, 28029, Madrid, Spain
- Department of Nutrition, Food Science and Physiology, University of Navarra, IdiSNA, 31008, Pamplona, Spain
| | - Anai Moreno-Rodriguez
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y la Nutrición (CIBERObn), Institute of Health Carlos III, 28029, Madrid, Spain
- Bioaraba Health Research Institute, Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country UPV/EHU, 01009, Vitoria-Gasteiz, Spain
| | - Edelys Crespo-Oliva
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y la Nutrición (CIBERObn), Institute of Health Carlos III, 28029, Madrid, Spain
- Department of Nursing, University of Málaga, Institute of Biomedical Research in Malaga (IBIMA), 29071, Málaga, Spain
| | | | - Marga Morey
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y la Nutrición (CIBERObn), Institute of Health Carlos III, 28029, Madrid, Spain
- Health Research Institute of the Balearic Islands (IdISBa), 07120, Palma de Mallorca, Spain
| | - Antonio Garcia-Rios
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y la Nutrición (CIBERObn), Institute of Health Carlos III, 28029, Madrid, Spain
- Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, 14004, Cordoba, Spain
| | - Rosa Casas
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y la Nutrición (CIBERObn), Institute of Health Carlos III, 28029, Madrid, Spain
- Department of Internal Medicine, Institutd'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, 08036, Barcelona, Spain
| | - Jose Carlos Fernandez-Garcia
- Department of Endocrinology, Virgen de la Victoria Hospital Instituto de Investigación Biomédica de Málaga (IBIMA), University of Málaga, 29010, Málaga, Spain
| | - José Manuel Santos-Lozano
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y la Nutrición (CIBERObn), Institute of Health Carlos III, 28029, Madrid, Spain
- Department of Family Medicine, Research Unit, Distrito Sanitario Atención Primaria Sevilla, 41013, Sevilla, Spain
| | - Javier Diez-Espino
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y la Nutrición (CIBERObn), Institute of Health Carlos III, 28029, Madrid, Spain
- Department of Preventive Medicine and Public Health, University of Navarra, IdiSNA, 31008, Pamplona, Spain
- Atención Primaria, Servicio Navarro de Salud, Osasunbidea, Pamplona, Spain
| | - Carolina Ortega-Azorín
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y la Nutrición (CIBERObn), Institute of Health Carlos III, 28029, Madrid, Spain
- Department of Preventive Medicine, University of Valencia, 46010, Valencia, Spain
| | - M Comas
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y la Nutrición (CIBERObn), Institute of Health Carlos III, 28029, Madrid, Spain
- Cardiovascular Risk and Nutrition Research Group (CARIN), Hospital del Mar Research Institute (IMIM), Departament de Medicina, Universitat Autònoma de Barcelona, 08003, Barcelona, Spain
| | - M Angeles Zulet
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y la Nutrición (CIBERObn), Institute of Health Carlos III, 28029, Madrid, Spain
- Department of Nutrition, Food Science and Physiology, University of Navarra, IdiSNA, 31008, Pamplona, Spain
| | - Carolina Sorto-Sanchez
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y la Nutrición (CIBERObn), Institute of Health Carlos III, 28029, Madrid, Spain
- Bioaraba Health Research Institute, Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country UPV/EHU, 01009, Vitoria-Gasteiz, Spain
| | - Miguel Ruiz-Canela
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y la Nutrición (CIBERObn), Institute of Health Carlos III, 28029, Madrid, Spain
- Department of Preventive Medicine and Public Health, University of Navarra, IdiSNA, 31008, Pamplona, Spain
| | - Montse Fitó
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y la Nutrición (CIBERObn), Institute of Health Carlos III, 28029, Madrid, Spain
- Cardiovascular Risk and Nutrition Research Group (CARIN), Hospital del Mar Research Institute (IMIM), Departament de Medicina, Universitat Autònoma de Barcelona, 08003, Barcelona, Spain
| | - Jordi Salas-Salvadó
- Department of Biochemistry and Biotechonology, Universitat Rovira i Virgili, Human Nutrition Unit, Carrer Sant Llorenç, 21, 43201, Reus, Spain
- Institut ďInvestigació Sanitària Pere Virgili (IISPV), 43204, Reus, Spain
- University Hospital of Sant Joan de Reus, Nutrition Unit, 43201, Reus, Spain
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y la Nutrición (CIBERObn), Institute of Health Carlos III, 28029, Madrid, Spain
| | - Nancy Babio
- Department of Biochemistry and Biotechonology, Universitat Rovira i Virgili, Human Nutrition Unit, Carrer Sant Llorenç, 21, 43201, Reus, Spain
- Institut ďInvestigació Sanitària Pere Virgili (IISPV), 43204, Reus, Spain
- University Hospital of Sant Joan de Reus, Nutrition Unit, 43201, Reus, Spain
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y la Nutrición (CIBERObn), Institute of Health Carlos III, 28029, Madrid, Spain
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Hernández-Ruiz Á, García-Villanova B, Ruiz-Canela M, Molina-Montes E, López-Trigo JA, López-Mongil R. El papel de la vitamina K: un estudio transversal de la ingesta de los menús ofertados en un centro geriátrico. Rev Esp Nutr Hum Diet 2022. [DOI: 10.14306/renhyd.26.1.1368] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022] Open
Abstract
Introducción: Los objetivos de la presente investigación han sido estimar el contenido de vitamina K1 del menú ofertado en una residencia de ancianos y su adecuación a las recomendaciones, determinar sus fuentes dietéticas y clasificar los platos del menú.
Material y métodos: Estudio descriptivo transversal. Se ha estudiado la ingesta dietética de vitamina K1 de la planificación dietética en un centro asistencial público (Valladolid, España) El estudio dietético se realizó estimando la ingesta dietética teórica del menú basal ofertado durante 14 días consecutivos que consumían 138 personas mayores. El aporte de vitamina K1 se estimó mediante los datos de la tabla de composición de alimentos de Ortega-Anta y cols., 2010.
Resultados: El aporte medio de vitamina K1 fue de 224 (desviación estándar, 128 µg/día) con una cantidad muy similar entre semanas y una gran variación entre días (97-586 µg/día). La principal fuente de este micronutriente fueron las verduras, en especial, las de hoja verde (acelgas, repollo, lechuga). El contenido de vitamina K1 del menú ofertado fue más de tres veces superior (320%) a la ingesta adecuada recomendada por la EFSA y más del doble (249-280%) según las ingestas dietéticas de la AESAN. Los grupos de alimentos que aportaron más vitamina K1 a la dieta fueron las verduras (41,7%) y las frutas (28,6%). Mediante la clasificación del Nutrition Care Manual se categorizaron los platos en 4 libres de vitamina K1, 23 con bajo contenido, 13 con un aporte moderado y 4 con una cantidad alta de este micronutriente.
Conclusiones: En el menú ofertado en este centro residencial, la estimación del aporte dietético de vitamina K1 fue entre dos veces y tres veces superior a la recomendada (AESAN y EFSA). A largo plazo, la alta ingesta de vitamina K1 podría suponer beneficios en la salud asociados con enfermedades relacionadas con el envejecimiento.
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48
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Goni L, Gil M, de la O V, Martínez-González MÁ, Eisenberg DM, Pueyo-Garrigues M, Vasilj M, Gayoso L, Etxeberria U, Ruiz-Canela M. Development and Validation of a New Home Cooking Frequency Questionnaire: A Pilot Study. Nutrients 2022; 14:nu14061136. [PMID: 35334793 PMCID: PMC8950242 DOI: 10.3390/nu14061136] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2022] [Revised: 03/03/2022] [Accepted: 03/04/2022] [Indexed: 02/04/2023] Open
Abstract
Home cooking and the type of cooking techniques can have an effect on our health. However, as far as we know, there is no questionnaire that measures in depth the frequency and type of cooking techniques used at home. Our aim was to design a new Home Cooking Frequency Questionnaire (HCFQ) and to preliminarily assess its psychometric properties. For this purpose we used a five-phase approach, as follows: Phase 1: item generation based on expert opinion, relevant literature and previous surveys; Phase 2: content validity assessed by experts for relevance and clarity (epidemiologists, dietitians, chefs); Phase 3: face validity and inter-item reliability; Phase 4: criterion validity using a 7-day food and culinary record; and Phase 5: test stability and inter-item reliability. The content validity index for scale and item level values provided evidence of the content validity for relevance and clarity. Criterion validity analysis showed intraclass correlation coefficients ranged from 0.31−0.69. Test−retest reliability coefficients ranged from 0.49−0.92, with ƙ values > 0.44. Overall Cronbach’s alpha was 0.90. In conclusion, the HCFQ is a promising tool with sound content and face validity, substantial criterion validity, and adequate reliability. This 174-item HCFQ is the first questionnaire to assess how often people cook and which cooking methods they use at home.
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Affiliation(s)
- Leticia Goni
- Department of Preventive Medicine and Public Health, IdiSNA, University of Navarra, 31008 Pamplona, Spain; (L.G.); (V.d.l.O.); (M.Á.M.-G.); (M.V.)
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029 Madrid, Spain
| | - Mario Gil
- Department of Medicina Preventiva, Hospital Universitario Fundación Alcorcón (HUFA), 28922 Madrid, Spain;
| | - Víctor de la O
- Department of Preventive Medicine and Public Health, IdiSNA, University of Navarra, 31008 Pamplona, Spain; (L.G.); (V.d.l.O.); (M.Á.M.-G.); (M.V.)
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029 Madrid, Spain
| | - Miguel Ángel Martínez-González
- Department of Preventive Medicine and Public Health, IdiSNA, University of Navarra, 31008 Pamplona, Spain; (L.G.); (V.d.l.O.); (M.Á.M.-G.); (M.V.)
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029 Madrid, Spain
- Department of Nutrition, Harvard TH Chan School of Public Health, Boston, MA 02115, USA;
| | - David M. Eisenberg
- Department of Nutrition, Harvard TH Chan School of Public Health, Boston, MA 02115, USA;
| | - María Pueyo-Garrigues
- Department of Community, Maternity and Pediatric Nursing, School of Nursing, University of Navarra, 31008 Pamplona, Spain;
| | - Maria Vasilj
- Department of Preventive Medicine and Public Health, IdiSNA, University of Navarra, 31008 Pamplona, Spain; (L.G.); (V.d.l.O.); (M.Á.M.-G.); (M.V.)
| | - Lucía Gayoso
- BCC Innovation, Technology Center in Gastronomy, Basque Culinary Center, 20009 Donostia-San Sebastián, Spain; (L.G.); (U.E.)
- Basque Culinary Center, Faculty of Gastronomy Sciences, Mondragon Unibertsitatea, 20009 Donostia-San Sebastián, Spain
| | - Usune Etxeberria
- BCC Innovation, Technology Center in Gastronomy, Basque Culinary Center, 20009 Donostia-San Sebastián, Spain; (L.G.); (U.E.)
- Basque Culinary Center, Faculty of Gastronomy Sciences, Mondragon Unibertsitatea, 20009 Donostia-San Sebastián, Spain
| | - Miguel Ruiz-Canela
- Department of Preventive Medicine and Public Health, IdiSNA, University of Navarra, 31008 Pamplona, Spain; (L.G.); (V.d.l.O.); (M.Á.M.-G.); (M.V.)
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029 Madrid, Spain
- Correspondence:
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49
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Muralidharan J, Papandreou C, Soria-Florido MT, Sala-Vila A, Blanchart G, Estruch R, Martínez-González MA, Corella D, Ros E, Ruiz-Canela M, Fito M, Salas-Salvadó J, Bulló M. Cross-Sectional Associations between HDL Structure or Function, Cell Membrane Fatty Acid Composition, and Inflammation in Elderly Adults. J Nutr 2022; 152:789-795. [PMID: 34637509 DOI: 10.1093/jn/nxab362] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2021] [Revised: 09/15/2021] [Accepted: 10/01/2021] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Cell membrane fatty acid composition has been related to inflammation and cardiovascular disease (CVD) risk. Dysregulation of HDL function is also considered a CVD risk factor. OBJECTIVES We aimed to investigate whether the content of cell membrane fatty acids and HDL functionality are linked to each other as well as to inflammation. METHODS This cross-sectional analysis involved 259 participants (mean age: 67.9 y) with overweight/obesity (mean BMI: 29.5 kg/m2) from a coronary artery disease case-control study nested within the PREDIMED (PREvención con DIeta MEDiterránea) trial for which HDL functional parameters [apoA-I, apoA-IV, and apoC-III; cholesterol efflux capacity (CEC); HDL oxidative inflammatory index (HOII); sphingosine-1-phosphate (S1P); serum amyloid A (SAA); and complement-3 (C3) protein] were quantified. We also assessed 22 fatty acids in blood cell membranes using GC and inflammatory markers (IFN-γ and IL-1b, IL-6, IL-8, and IL-10) in serum. Associations of HDL-related variables with cell membrane fatty acids and with inflammatory markers were assessed using multivariable linear regression analyses with elastic net penalty. RESULTS ApoA-I, apoC-III, CEC, HOII, S1P, and SAA, but not apoA-IV and C3 protein, were associated with membrane fatty acids. S1P and SAA were directly associated with IL-6, whereas apoA-I and C3 protein showed inverse associations with IL-6. Specific fatty acids including myristic acid (14:0) and long-chain n-6 fatty acids being negatively and positively associated with IL-8, respectively, were also found to be positively associated with SAA. CONCLUSIONS This study suggests interrelations between indicators of inflammation and both blood cell membrane fatty acid composition and HDL structure/functional parameters in a Mediterranean population at high CVD risk.This trial was registered at www.isrctn.com as ISRCTN35739639.
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Affiliation(s)
- Jananee Muralidharan
- Nutrition Unit, Department of Biochemistry and Biotechnology, Rovira i Virgili University, Reus, Spain.,Pere Virgili Health Research Institute (IISPV), Reus, Spain.,Center for Biomedical Research Network Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Institute of Health, Madrid, Spain.,Nutrition Unit, University Hospital of Sant Joan de Reus, Reus, Spain
| | - Christopher Papandreou
- Nutrition Unit, Department of Biochemistry and Biotechnology, Rovira i Virgili University, Reus, Spain.,Pere Virgili Health Research Institute (IISPV), Reus, Spain.,Center for Biomedical Research Network Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Institute of Health, Madrid, Spain.,Nutrition Unit, University Hospital of Sant Joan de Reus, Reus, Spain
| | - Maria T Soria-Florido
- Center for Biomedical Research Network Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Institute of Health, Madrid, Spain.,Cardiovascular and Nutrition Research Group, Hospital del Mar Research Institute, Barcelona, Spain
| | - Aleix Sala-Vila
- Cardiovascular and Nutrition Research Group, Hospital del Mar Research Institute, Barcelona, Spain.,Fatty Acid Research Institute, Sioux Falls, SD, USA
| | - Gemma Blanchart
- Center for Biomedical Research Network Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Institute of Health, Madrid, Spain.,Cardiovascular and Nutrition Research Group, Hospital del Mar Research Institute, Barcelona, Spain
| | - Ramon Estruch
- Center for Biomedical Research Network Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Institute of Health, Madrid, Spain.,Department of Internal Medicine, Hospital Clinic, IDIBAPS August Pi i Sunyer Biomedical Research Institute, University of Barcelona, Barcelona, Spain
| | - Miguel A Martínez-González
- Center for Biomedical Research Network Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Institute of Health, Madrid, Spain.,Department of Preventive Medicine and Public Health, University of Navarra, Pamplona, Spain.,Navarra Institute for Health Research (IdiSNA), Pamplona, Spain.,Department of Nutrition, Harvard TH Chan School of Public Health, Boston, MA, USA
| | - Dolores Corella
- Center for Biomedical Research Network Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Institute of Health, Madrid, Spain.,Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Emilio Ros
- Center for Biomedical Research Network Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Institute of Health, Madrid, Spain.,Fatty Acid Research Institute, Sioux Falls, SD, USA
| | - Miguel Ruiz-Canela
- Center for Biomedical Research Network Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Institute of Health, Madrid, Spain.,Department of Preventive Medicine and Public Health, University of Navarra, Pamplona, Spain.,Navarra Institute for Health Research (IdiSNA), Pamplona, Spain
| | - Montse Fito
- Center for Biomedical Research Network Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Institute of Health, Madrid, Spain.,Cardiovascular and Nutrition Research Group, Hospital del Mar Research Institute, Barcelona, Spain
| | - Jordi Salas-Salvadó
- Nutrition Unit, Department of Biochemistry and Biotechnology, Rovira i Virgili University, Reus, Spain.,Pere Virgili Health Research Institute (IISPV), Reus, Spain.,Center for Biomedical Research Network Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Institute of Health, Madrid, Spain.,Nutrition Unit, University Hospital of Sant Joan de Reus, Reus, Spain
| | - Mònica Bulló
- Nutrition Unit, Department of Biochemistry and Biotechnology, Rovira i Virgili University, Reus, Spain.,Pere Virgili Health Research Institute (IISPV), Reus, Spain.,Center for Biomedical Research Network Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Institute of Health, Madrid, Spain
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50
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Hershey MS, Sanchez-Villegas A, Sotos-Prieto M, Fernandez-Montero A, Pano O, Lahortiga-Ramos F, Martínez-González MÁ, Ruiz-Canela M. The Mediterranean Lifestyle and the Risk of Depression in Middle-Aged Adults. J Nutr 2022; 152:227-234. [PMID: 34549288 DOI: 10.1093/jn/nxab333] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2021] [Revised: 07/01/2021] [Accepted: 09/14/2021] [Indexed: 01/20/2023] Open
Abstract
BACKGROUND Recent evidence has indicated a greater number of protective factors are associated with a greater decreased risk for depression and depressive symptoms compared with individual factors alone. Moreover, adherence to healthy modifiable lifestyle behaviors may lower the risk of depression regardless of underlying genetic risk. OBJECTIVES We longitudinally evaluated the association of the Mediterranean lifestyle (MEDLIFE) with the risk of depression. METHODS We prospectively analyzed data from 15,279 participants (6089 men and 9190 women, mean age 37 y) in the Seguimiento Universidad de Navarra cohort. The MEDLIFE index is composed of 28 items on food consumption, dietary habits, physical activity, rest, social habits, and conviviality, each of which was assigned 0 or 1 point. Final scores ranged from 0 to 28 points and were categorized into quartiles of MEDLIFE adherence. Cox proportional regression models determined the association of total MEDLIFE adherence, each item, and block with incident depression. RESULTS After a mean follow-up of 11.7 y, 912 (6%) incident cases of depression were reported. The mean ± SD final score for MEDLIFE adherence was 11.9 ± 2.7 points. The multivariable model showed that compared with the first quartile, the second and third quartiles of MEDLIFE adherence were significantly associated with a decreased relative risk for incident depression (HR: 0.82; 95% CI: 0.69, 0.96 and HR: 0.74; 95% CI: 0.61, 0.89, respectively). The fourth quartile did not show a statistically significant association with incident depression (HR: 0.89; 95% CI: 0.73, 1.09). CONCLUSIONS MEDLIFE adherence may decrease the risk of depression in a Spanish cohort of university graduates. Given no clear association was observed among the highest MEDLIFE adherence, future studies are warranted to better understand the nature of this association. Evidence on MEDLIFE, beyond the Mediterranean diet, may contribute toward more effective prevention strategies for depression.
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Affiliation(s)
- Maria S Hershey
- Department of Preventive Medicine and Public Health, IdiSNA, University of Navarra, Pamplona, Spain
| | - Almudena Sanchez-Villegas
- Biomedical Research Network Centre for Pathophysiology of Obesity and Nutrition (CIBEROBN), Carlos III Health Institute, Madrid, Spain.,Nutrition Research Group, Research Institute of Biomedical and Health Sciences, University of Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain.,Universidad Pública de Navarra, IdiSNA, Pamplona, Spain
| | - Mercedes Sotos-Prieto
- Biomedical Research Network Centre for Pathophysiology of Obesity and Nutrition (CIBEROBN), Carlos III Health Institute, Madrid, Spain.,Department of Preventive Medicine and Public Health, School of Medicine, Universidad Autónoma de Madrid, and IdiPaz (Instituto de Investigación Sanitaria Hospital Universitario La Paz), Madrid, Spain
| | - Alejandro Fernandez-Montero
- Department of Preventive Medicine and Public Health, IdiSNA, University of Navarra, Pamplona, Spain.,Department of Occupational Medicine, University of Navarra, Av. Pío XII, 36, Pamplona, Spain
| | - Octavio Pano
- Department of Preventive Medicine and Public Health, IdiSNA, University of Navarra, Pamplona, Spain
| | | | - Miguel Ángel Martínez-González
- Department of Preventive Medicine and Public Health, IdiSNA, University of Navarra, Pamplona, Spain.,Biomedical Research Network Centre for Pathophysiology of Obesity and Nutrition (CIBEROBN), Carlos III Health Institute, Madrid, Spain.,Department of Nutrition, Harvard T. H. Chan School, Boston, MA, USA
| | - Miguel Ruiz-Canela
- Department of Preventive Medicine and Public Health, IdiSNA, University of Navarra, Pamplona, Spain.,Biomedical Research Network Centre for Pathophysiology of Obesity and Nutrition (CIBEROBN), Carlos III Health Institute, Madrid, Spain
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