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Bui TT, Nakamoto M, Yamada K, Nakamoto A, Hata A, Aki N, Shikama Y, Bando Y, Ichihara T, Minagawa T, Tamura A, Kuwamura Y, Funaki M, Sakai T. Longitudinal associations between dietary diversity and serum lipid markers in Japanese workers. Eur J Clin Nutr 2025; 79:273-282. [PMID: 39537989 PMCID: PMC11893442 DOI: 10.1038/s41430-024-01540-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2024] [Revised: 10/24/2024] [Accepted: 10/30/2024] [Indexed: 11/16/2024]
Abstract
OBJECTIVE The aim of this study was to determine the longitudinal associations between dietary diversity score and serum lipid markers in a five-year follow-up period in Japanese workers. METHODS This study included 745 participants aged 20-60 years in 2012-2013 without dyslipidemia at baseline who participated at least once from 2013 to 2017. Dietary intake was assessed using a food frequency questionnaire, and dietary diversity score was determined using the Quantitative Index for Dietary Diversity. Principal component analysis was used to determine three dietary patterns: healthy, western, and sweetener. Lipid markers including total cholesterol, triglycerides, LDL-cholesterol, HDL-cholesterol, and non-HDL-cholesterol were measured. Generalized estimating equations were used for calculating the cumulative mean of lipid profiles in the follow-up period according to the dietary diversity score at baseline with control of confounding factors. RESULTS Higher dietary diversity score was inversely associated with serum concentrations of LDL cholesterol (p for trend = 0.028), triglycerides (p for trend = 0.029), and non-HDL cholesterol (p for trend = 0.026) in women. The associations except for the association with serum triglycerides were robust after additional adjustment for three dietary patterns (healthy, western, and sweetener). The association with serum triglycerides disappeared after additional adjustment for a healthy pattern. There was no significant association between dietary diversity and dyslipidemia in men in the follow-up period. CONCLUSIONS This study suggests that dietary diversity is beneficial for lipid profiles in Japanese female workers.
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Affiliation(s)
- Thuy Thi Bui
- Department of Public Health and Applied Nutrition, Institute of Biomedical Sciences, the University of Tokushima Graduate School, Tokushima, Japan
| | - Mariko Nakamoto
- Department of Public Health and Applied Nutrition, Institute of Biomedical Sciences, the University of Tokushima Graduate School, Tokushima, Japan.
| | - Kana Yamada
- Department of Public Health and Applied Nutrition, Institute of Biomedical Sciences, the University of Tokushima Graduate School, Tokushima, Japan
| | - Akiko Nakamoto
- Department of Public Health and Applied Nutrition, Institute of Biomedical Sciences, the University of Tokushima Graduate School, Tokushima, Japan
| | - Akiko Hata
- Clinical Research Center for Diabetes, Tokushima University Hospital, Tokushima, Japan
| | - Nanako Aki
- Clinical Research Center for Diabetes, Tokushima University Hospital, Tokushima, Japan
| | - Yosuke Shikama
- Clinical Research Center for Diabetes, Tokushima University Hospital, Tokushima, Japan
- National Center for Geriatrics and Gerontology, Research Institute, Department of Oral Disease Research, Aich, Japan
| | - Yukiko Bando
- Clinical Research Center for Diabetes, Tokushima University Hospital, Tokushima, Japan
| | - Takako Ichihara
- Department of Nursing, Faculty of Medicine, Kagawa University, Kagawa, Japan
| | - Takako Minagawa
- Department of Nursing, Faculty of Health and Welfare, Tokushima Bunri University, Tokushima, Japan
| | - Ayako Tamura
- Department of Nursing, Faculty of Nursing, Shikoku University, Tokushima, Japan
| | - Yumi Kuwamura
- Department of Oncology Nursing, Institute of Biomedical Sciences, the University of Tokushima Graduate School, Tokushima, Japan
| | - Makoto Funaki
- Endocrinology and Metabolism, Tokushima University Hospital, Tokushima, Japan
| | - Tohru Sakai
- Department of Public Health and Applied Nutrition, Institute of Biomedical Sciences, the University of Tokushima Graduate School, Tokushima, Japan
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Shyam S, Nishi SK, Ni J, Martínez-González MÁ, Corella D, Schröder H, 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, Delgado-Rodríguez M, Matía-Martín P, Vidal J, Vázquez C, Daimiel L, Ros E, Gaforio JJ, Ruiz-Canela M, Fernández-Carrión R, Goday A, Garcia-Rios A, Torres-Collado L, Cueto-Galán R, Zulet MA, Prohens L, Casas R, Castillo-Hermoso MA, Tojal-Sierra L, Am GP, García-Arellano A, Sorlí JV, Castañer O, Arenas-Larriva AP, Oncina-Cánovas A, Goñi L, Fitó M, Babio N, Salas-Salvadó J. Pasta Consumption and Cardiometabolic Risks in Older Adults with Overweight/Obesity: A Longitudinal Analysis. JOURNAL OF THE AMERICAN NUTRITION ASSOCIATION 2025:1-13. [PMID: 39970054 DOI: 10.1080/27697061.2025.2463454] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/13/2024] [Revised: 01/08/2025] [Accepted: 02/02/2025] [Indexed: 02/21/2025]
Abstract
OBJECTIVE Low Glycemic Index (GI) diets improve cardiometabolic risk (CMR) specifically in those with insulin resistance. However, the prospective association between pasta (a low GI staple) consumption and CMR is unclear. We evaluated the longitudinal association of pasta consumption with CMR (after 2 y: body weight, body mass index (BMI), waist circumference (WC), blood pressure (BP); after 1 y: fasting blood glucose, HbA1c, HDL-cholesterol and triglycerides) in ∼6000 older adults (50% women) at high CMR. METHODS Consumption of pasta and other staples were determined as the cumulative average of reported intakes at baseline and annual follow-up visits from food frequency questionnaires and defined as energy-adjusted (residuals) and the number of daily servings. Longitudinal association between pasta consumption and CMR was assessed in PREDIMED-Plus participants (Trail registry number: ISRCTN89898870). RESULTS Mean (SD) dry pasta intake was 9(7) g/d at Year 1 and 8(6) g/d at Year 2. In linear regression models, higher pasta intake was associated with greater 2 y decreases in body weight, BMI and WC. When fully adjusted, every additional serving of pasta was associated with significantly greater 2 y decreases in body weight (-2.23(-3.47, -0.98 kg), BMI (-0.86(-1.27, -0.34 kg/m2) and WC (-1.92 (-3.46, -0.38 cm). There was no evidence of association with other outcomes. Additionally, substituting equivalent servings of pasta for white bread or white rice or potato was significantly associated with greater 2 y decreases in body weight and BMI. Replacing white bread with pasta was associated with higher 2 y reductions in WC. Replacing potato with pasta was associated with improvements in diastolic BP and HDL-cholesterol. Conclusions: Equivalent serving substitutions of white bread/white rice/potato with pasta may help reduce CMR in older Mediterranean adults with overweight/obesity. While such substitutions are feasible where pasta consumption aligns with the local gastronomic culture, the feasibility and potential CMR benefit of such interventions should be confirmed in other populations.
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Affiliation(s)
- Sangeetha Shyam
- Departament de Bioquímica i Biotecnologia, Alimentació, Nutrició, Desenvolupament i Salut Mental ANUT-DSM, Universitat Rovira i Virgili, 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 Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
| | - Stephanie K Nishi
- Departament de Bioquímica i Biotecnologia, Alimentació, Nutrició, Desenvolupament i Salut Mental ANUT-DSM, Universitat Rovira i Virgili, 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 Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- School of Nutrition, Faculty of Community Services, Toronto Metropolitan University, Toronto, Ontario, Canada
| | - Jiaqi Ni
- Departament de Bioquímica i Biotecnologia, Alimentació, Nutrició, Desenvolupament i Salut Mental ANUT-DSM, Universitat Rovira i Virgili, 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 Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
| | - Miguel Ángel Martínez-González
- Departament de Bioquímica i Biotecnologia, Alimentació, Nutrició, Desenvolupament i Salut Mental ANUT-DSM, Universitat Rovira i Virgili, Reus, 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, USA
| | - Dolores Corella
- Centro de Investigación 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
| | - Helmut Schröder
- 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 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 Fisiopatología de La Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Department of Cardiology, Osakidetza Basque Health Service, Araba University Hospital, Bioaraba Health Research Institute, University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain
| | - Julia Wärnberg
- Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Department of Nursing, University of Málaga, Institute of Biomedical Research in Malaga (IBIMA), Málaga, Spain
| | - Jesús Vioque
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
- Universidad Miguel Hernández, Instituto de Investigación Sanitaria y Biomédica de Alicante (UMH-ISABIAL), Alicante, Spain
| | - Dora Romaguera
- Centro de Investigación Biomédica en Red 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 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 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, Institut de Recerca en Nutrició i Seguretat Alimentaria (INSA-UB), Universitat de Barcelona, Barcelona, Spain
| | - Francisco J Tinahones
- Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Department of Endocrinology, Virgen de la Victoria Hospital, 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 Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Department of Family Medicine, Research Unit, Sevilla, Spain
| | - Lluís Serra-Majem
- Centro de Investigación Biomédica en Red 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
| | - Aurora Bueno-Cavanillas
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
- Instituto de Investigación Biosanitaria IBS-Granada; Department of Preventive Medicine and Public Health, University of Granada, Granada, Spain
| | - Josep A Tur
- Centro de Investigación Biomédica en Red 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
| | - Vicente Martín Sánchez
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
- Institute of Biomedicine (IBIOMED), University of León, León, Spain
| | - Xavier Pintó
- Centro de Investigación Biomédica en Red 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
- CIBER Diabetes y Enfermedades Metabólicas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Josep Vidal
- CIBER Diabetes y Enfermedades Metabólicas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Endocrinology, IDIBAPS, Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Clotilde Vázquez
- Centro de Investigación Biomédica en Red 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 Autónoma, Madrid, Spain
| | - Lidia Daimiel
- Centro de Investigación Biomédica en Red 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, Boadilla del Monte, Spain
| | - Emilio Ros
- IDIBAPS, Hospital Clínic, Barcelona, Spain
| | - José J Gaforio
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
- Division of Preventive Medicine, Faculty of Medicine, University of Jaén, Jaén, Spain
| | - Miguel Ruiz-Canela
- Centro de Investigación Biomédica en Red 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
| | - Rebeca Fernández-Carrión
- Centro de Investigación 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
| | - Albert Goday
- Centro de Investigación 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 de Investigaciones Médicas Municipal d'Investigació Médica (IMIM), Barcelona, Spain
| | - Antonio Garcia-Rios
- Centro de Investigación Biomédica en Red 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 Torres-Collado
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
- Universidad Miguel Hernández, Instituto de Investigación Sanitaria y Biomédica de Alicante (UMH-ISABIAL), Alicante, Spain
| | - Raquel Cueto-Galán
- Department of Public Health and Psychiatry, School of Medicine, University of Malaga, Málaga, Spain
- Biomedical Research Institute of Malaga (IBIMA), Málaga, Spain
- Applied Health Artificial Intelligence Network (REDIAS), Spain
| | - M Angeles Zulet
- Centro de Investigación Biomédica en Red 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
| | - Lara Prohens
- Health Research Institute of the Balearic Islands (IdISBa), Palma de Mallorca, Spain
| | - Rosa Casas
- Centro de Investigación 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, Institut de Recerca en Nutrició i Seguretat Alimentaria (INSA-UB), Universitat de Barcelona, Barcelona, Spain
| | - M Angeles Castillo-Hermoso
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
- Instituto de Investigación Biosanitaria IBS-Granada; Department of Preventive Medicine and Public Health, University of Granada, Granada, Spain
| | - Lucas Tojal-Sierra
- Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Department of Cardiology, Osakidetza Basque Health Service, Araba University Hospital, Bioaraba Health Research Institute, University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain
| | - Gómez-Pérez Am
- Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Department of Endocrinology, Virgen de la Victoria Hospital, Instituto de Investigación Biomédica de Málaga (IBIMA), University of Málaga, Málaga, Spain
| | - Ana García-Arellano
- Department of Preventive Medicine and Public Health, IDISNA, University of Navarra, Pamplona, Spain
| | - José V Sorlí
- Centro de Investigación 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
| | - Olga Castañer
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d'Investigació Médica (IMIM), Barcelona, Spain
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
| | - Antonio P Arenas-Larriva
- Centro de Investigación Biomédica en Red 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
| | - Alejandro Oncina-Cánovas
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
- Universidad Miguel Hernández, Instituto de Investigación Sanitaria y Biomédica de Alicante (UMH-ISABIAL), Alicante, Spain
| | - Leticia Goñi
- Centro de Investigación Biomédica en Red 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
| | - Montserrat Fitó
- Centro de Investigación 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 de Investigaciones Médicas Municipal d'Investigació Médica (IMIM), Barcelona, Spain
| | - Nancy Babio
- Departament de Bioquímica i Biotecnologia, Alimentació, Nutrició, Desenvolupament i Salut Mental ANUT-DSM, Universitat Rovira i Virgili, 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 Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
| | - Jordi Salas-Salvadó
- Departament de Bioquímica i Biotecnologia, Alimentació, Nutrició, Desenvolupament i Salut Mental ANUT-DSM, Universitat Rovira i Virgili, 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 Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
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Fabios E, Zazpe I, García-Blanco L, de la O V, Martínez-González MÁ, Martín-Calvo N. Macronutrient quality and its association with micronutrient adequacy in children. Clin Nutr ESPEN 2024; 63:796-804. [PMID: 39173908 DOI: 10.1016/j.clnesp.2024.08.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2024] [Revised: 06/19/2024] [Accepted: 08/13/2024] [Indexed: 08/24/2024]
Abstract
BACKGROUND & AIMS The double burden of malnutrition compels us to reconsider macronutrients from a diet quality perspective. The Macronutrient Quality Index (MQI) has been designed to reflect overall macronutrient quality and is based on three sub-indexes: the carbohydrate quality index (CQI), the healthy plate protein quality index (HPPQI) and the fat quality index (FQI). Nutritional adequacy is an essential aspect of diet quality that should be captured by reliable dietary indexes. METHODS We analyzed the association between the Macronutrient Quality Index (MQI) and micronutrient adequacy. Participants were children aged 4 and 5 years, recruited in the SENDO cohort. Baseline information was collected through a self-administered online questionnaire, which included information on sociodemographic, dietary, and lifestyle variables. Dietary information was obtained using a 147-item validated semi-quantitative food frequency questionnaire. Participants were categorized into tertiles based on their MQI score. We evaluated the intake of 20 micronutrients and assessed the probability of micronutrient adequacy using the Estimated Average Requirement cut-off point. RESULTS Children in the highest tertile of MQI had 0.33-fold lower odds (95%CI 0.17-0.66) of having ≥3 inadequate micronutrient intakes than their peers in the lowest tertile, after adjusting for potential confounders. The adjusted proportions of children with inadequate intake of ≥3 micronutrients were 18%, 14% and 11% in the first, second, and third tertiles of MQI respectively. The MQI appears to be capable of capturing nutrient adequacy in children, although our results suggest that a modified MQI, with eggs and dairy products weighted positively, might be more adequate for the pediatric population.
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Affiliation(s)
- Elise Fabios
- University of Navarra, Department of Preventive Medicine and Public Health, School of Medicine, Pamplona, Spain
| | - Itziar Zazpe
- University of Navarra, Department of Preventive Medicine and Public Health, School of Medicine, Pamplona, Spain; IdiSNA, Instituto de Investigación Sanitaria de Navarra, Pamplona, Spain; Biomedical Research Centre Network on Obesity and Nutrition (CIBERobn), Physiopathology of Obesity and Nutrition, Institute of Health Carlos III, Madrid, Spain; Department of Nutrition, Food Science and Physiology, School of Pharmacy, University of Navarra, Pamplona, Spain
| | - Lorena García-Blanco
- IdiSNA, Instituto de Investigación Sanitaria de Navarra, Pamplona, Spain; Olite Primary Care Health Center. Servicio Navarro de Salud-Osasunbidea, Pamplona, Spain
| | - Victor de la O
- University of Navarra, Department of Preventive Medicine and Public Health, School of Medicine, Pamplona, Spain; Precision Nutrition and Cardiometabolic Health Program, IMDEA Food, Spain
| | - Miguel Ángel Martínez-González
- University of Navarra, Department of Preventive Medicine and Public Health, School of Medicine, Pamplona, Spain; IdiSNA, Instituto de Investigación Sanitaria de Navarra, Pamplona, Spain; Biomedical Research Centre Network on Obesity and Nutrition (CIBERobn), Physiopathology of Obesity and Nutrition, Institute of Health Carlos III, Madrid, Spain
| | - Nerea Martín-Calvo
- University of Navarra, Department of Preventive Medicine and Public Health, School of Medicine, Pamplona, Spain; IdiSNA, Instituto de Investigación Sanitaria de Navarra, Pamplona, Spain; Biomedical Research Centre Network on Obesity and Nutrition (CIBERobn), Physiopathology of Obesity and Nutrition, Institute of Health Carlos III, Madrid, Spain.
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Olmedo M, Santiago S, Romanos-Nanclares A, Aramendia-Beitia JM, Sanchez-Bayona R, Bes-Rastrollo M, Martinez-Gonzalez MA, Toledo E. Dietary carbohydrate quality index and incidence of obesity-related cancers in the "Seguimiento Universidad De Navarra" (SUN) prospective cohort. Eur J Nutr 2024; 63:2449-2458. [PMID: 38814364 PMCID: PMC11490434 DOI: 10.1007/s00394-024-03438-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2024] [Accepted: 05/15/2024] [Indexed: 05/31/2024]
Abstract
PURPOSE The quality, rather than the quantity, of carbohydrate intake may play a major role in the etiology of obesity-related cancers (ORCs). We assessed the association between a previously defined carbohydrate quality index (CQI) and the risk of developing ORCs in the "Seguimiento Universidad de Navarra" (SUN) cohort. METHODS A total of 18,446 Spanish university graduates [mean age 38 years (SD 12 years), 61% women, mean BMI 23.5 kg/m2 (SD 3.5 kg/m2)], with no personal history of cancer, were followed-up. Baseline CQI was assessed summing quintiles of four previously defined criteria: high dietary fiber intake, low glycemic index (GI), high whole-grain: total-grain carbohydrates ratio and high solid carbohydrates: total carbohydrates ratio. Participants were classified into tertiles of their total CQI. Incident ORCs were confirmed by an oncologist using medical records and by querying the National Death Index blindly to dietary exposures. RESULTS During a median follow-up of 13.7 years, 269 incident cases of ORC were confirmed. A higher CQI was inversely associated with ORC incidence [multivariable-adjusted hazard ratio (HR) for the upper (T3) versus the lowest tertile (T1) of 0.68 (95% CI: 0.47-0.96), p for trend = 0.047]. Particularly, higher dietary fiber intake was inversely associated with ORC, HRT3 vs. T1=0.57 (95% CI 0.37-0.88 p for trend = 0.013). CONCLUSION In this prospective Mediterranean cohort, an inverse association between a better global quality of carbohydrate intake and the risk of ORCs was found. Strategies for cancer prevention should promote a higher quality of carbohydrate intake.
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Affiliation(s)
- M Olmedo
- Department of Preventive Medicine and Public Health, University of Navarra, C/ Irunlarrea, 1, Pamplona, Pamplona, 31008, Spain
- Department of Medical Oncology, Cancer Center Clínica Universidad de Navarra, Pamplona, Spain
| | - S Santiago
- Navarra Institute for Health Research (IdiSNA), Pamplona, Spain
- Department of Nutrition and Food Sciences and Physiology, University of Navarra, Pamplona, Spain
| | - A Romanos-Nanclares
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - J M Aramendia-Beitia
- Department of Medical Oncology, Cancer Center Clínica Universidad de Navarra, Pamplona, Spain
- Navarra Institute for Health Research (IdiSNA), Pamplona, Spain
| | - R Sanchez-Bayona
- Medical Oncology Department, Hospital Universitario 12 de Octubre, Madrid, Spain
| | - M Bes-Rastrollo
- Department of Preventive Medicine and Public Health, University of Navarra, C/ Irunlarrea, 1, Pamplona, Pamplona, 31008, Spain
- Navarra Institute for Health Research (IdiSNA), Pamplona, Spain
- CIBERobn, Instituto de Salud Carlos III, Madrid, Spain
| | - M A Martinez-Gonzalez
- Department of Preventive Medicine and Public Health, University of Navarra, C/ Irunlarrea, 1, Pamplona, Pamplona, 31008, Spain
- Navarra Institute for Health Research (IdiSNA), Pamplona, Spain
- CIBERobn, Instituto de Salud Carlos III, Madrid, Spain
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, USA
| | - E Toledo
- Department of Preventive Medicine and Public Health, University of Navarra, C/ Irunlarrea, 1, Pamplona, Pamplona, 31008, Spain.
- Navarra Institute for Health Research (IdiSNA), Pamplona, Spain.
- CIBERobn, Instituto de Salud Carlos III, Madrid, Spain.
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5
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Shateri Z, Rasulova I, Rajabzadeh-Dehkordi M, Askarpour M, Rezaianzadeh A, Johari MG, Nouri M, Faghih S. The association between carbohydrate quality index and conventional risk factors of cardiovascular diseases in an Iranian adult population. BMC Res Notes 2024; 17:243. [PMID: 39223680 PMCID: PMC11370298 DOI: 10.1186/s13104-024-06897-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2023] [Accepted: 08/13/2024] [Indexed: 09/04/2024] Open
Abstract
OBJECTIVE Cardiovascular diseases (CVDs) are the most common cause of death worldwide. Diet plays an important role among many risk factors for CVDs. The present study aimed to investigate the relationship between carbohydrate quality index (CQI) and conventional risk factors of CVDs in Iranian adults. RESULTS A higher CQI was related to a higher intake of energy, fiber, whole grains, fruits, vegetables, nuts, legumes, and dairy products. Additionally, a significant negative association was observed between CQI and triglycerides (TG) (odds ratio (OR) = 0.85; 95% confidence interval (CI): 0.73-0.98, highest versus the lowest tertile, p for trend = 0.026) and non-high density lipoprotein cholesterol (non-HDL-C) (OR = 0.85; 95% CI: 0.75-0.96, highest versus the lowest tertile, p for trend = 0.012). No significant correlation was shown between CQI and other cardiovascular risk factors. The findings indicate that the CQI is inversely associated with TG and non-HDL-C. Further studies are proposed to confirm these findings.
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Affiliation(s)
- Zainab Shateri
- Department of Nutrition and Biochemistry, School of Medicine, Ilam University of Medical Sciences, Ilam, Iran
| | - Irodakhon Rasulova
- Central Asian Center of Development Studies, New Uzbekistan University, 1 Movarounnahr Street, Tashkent, 100000, Uzbekistan
- Department of Public Health, Samarkand State Medical University, Amir Temur Street 18, Samarkand, Uzbekistan
| | - Milad Rajabzadeh-Dehkordi
- Student Research Committee, Shiraz University of Medical Sciences, Shiraz, Iran
- Department of Community Nutrition, School of Nutrition and Food Sciences, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Moein Askarpour
- Student Research Committee, Shiraz University of Medical Sciences, Shiraz, Iran
- Department of Clinical Nutrition, School of Nutrition and Food Sciences, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Abbas Rezaianzadeh
- Department of Epidemiology, School of Health and Nutrition, Shiraz University of Medical Sciences, Shiraz, Iran
| | | | - Mehran Nouri
- Cellular and Molecular Biology Research Center, Health Research Institute, Babol University of Medical Sciences, Babol, Iran.
| | - Shiva Faghih
- Department of Community Nutrition, School of Nutrition and Food Sciences, Shiraz University of Medical Sciences, Shiraz, Iran.
- Nutrition Research Center, Shiraz University of Medical Sciences, Shiraz, Iran.
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6
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Muñoz-Cabrejas A, Laclaustra M, Guallar-Castillón P, Casasnovas JA, Marco-Benedí V, Calvo-Galiano N, Moreno-Franco B. Low-Quality Carbohydrate Intake Is Associated With a Higher Prevalence of Metabolic Syndrome: The AWHS Study. J Clin Endocrinol Metab 2024; 109:e1768-e1775. [PMID: 38141071 DOI: 10.1210/clinem/dgad706] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Indexed: 12/24/2023]
Abstract
CONTEXT The relationship between carbohydrate quality intake and metabolic syndrome (MetS) is of growing interest. OBJECTIVE We aimed to assess the association between the adherence to a dietary carbohydrate quality index (CQI) with the occurrence of MetS in a Spanish cohort of working adults. METHODS A cross-sectional study was conducted of 2316 middle-aged men, aged 50.9 (SD 3.9) years, with no previous cardiovascular disease, and pertaining to the Aragon Workers' Health Study (AWHS) cohort. Diet was collected with a 136-item semiquantitative food-frequency questionnaire. The CQI (range 4-15) was based on: dietary fiber intake, a low glycemic index, the ratio of whole grains/total grains, and the ratio of solid carbohydrates/total carbohydrates. The higher the CQI, the healthier the diet. MetS was defined by using the harmonized National Cholesterol Education Programme-Adult Treatment Panel III (NCEP-ATP III) definition. The associations across 3-point categories of the CQI and the presence of MetS were examined using logistic regression. RESULTS An inverse and significant association between the CQI and MetS was found. Fully adjusted odds ratios (ORs) for MetS risk among participants in the 10- to 12-point category (second highest CQI category) was 0.64 (95% CI, 0.45-0.94), and in the 13- to 15-point category (highest category) was 0.52 (95% CI, 0.30-0.88), when compared with the 4- to 6-point category (lowest category). Participants with 10 to 12 and 13 to 15 points on the CQI showed a lower risk of hypertriglyceridemia: OR 0.61 (95% CI, 0.46-0.81), and 0.48 (95% CI, 0.32-0.71) respectively. CONCLUSION Among middle-aged men, a higher adherence to a high-quality carbohydrate diet is associated with a lower prevalence of MetS. Triglyceridemia is the MetS component that contributed the most to this reduced risk.
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Affiliation(s)
- Ainara Muñoz-Cabrejas
- Instituto de Investigación Sanitaria Aragón, Hospital Universitario Miguel Servet, 50009 Zaragoza, Spain
- Department of Preventive Medicine and Public Health, Universidad de Zaragoza, 50009 Zaragoza, Spain
| | - Martin Laclaustra
- Instituto de Investigación Sanitaria Aragón, Hospital Universitario Miguel Servet, 50009 Zaragoza, Spain
- Department of Medicine, Psychiatry and Dermatology, Universidad de Zaragoza, 50009 Zaragoza, Spain
- CIBERCV (CIBER de Enfermedades Cardiovasculares), 28029 Madrid, Spain
| | - Pilar Guallar-Castillón
- Department of Preventive Medicine and Public Health, Universidad Autónoma de Madrid, 28029 Madrid, Spain
- CIBERESP (CIBER de Epidemiología y Salud Pública), 28029 Madrid, Spain
- IMDEA-Food Institute, CEI UAM+CSIC, 28049 Madrid, Spain
| | - José Antonio Casasnovas
- Instituto de Investigación Sanitaria Aragón, Hospital Universitario Miguel Servet, 50009 Zaragoza, Spain
- Department of Medicine, Psychiatry and Dermatology, Universidad de Zaragoza, 50009 Zaragoza, Spain
- CIBERCV (CIBER de Enfermedades Cardiovasculares), 28029 Madrid, Spain
| | - Victoria Marco-Benedí
- Instituto de Investigación Sanitaria Aragón, Hospital Universitario Miguel Servet, 50009 Zaragoza, Spain
- Department of Medicine, Psychiatry and Dermatology, Universidad de Zaragoza, 50009 Zaragoza, Spain
- CIBERCV (CIBER de Enfermedades Cardiovasculares), 28029 Madrid, Spain
| | - Naiara Calvo-Galiano
- Instituto de Investigación Sanitaria Aragón, Hospital Universitario Miguel Servet, 50009 Zaragoza, Spain
- Department of Medicine, Psychiatry and Dermatology, Universidad de Zaragoza, 50009 Zaragoza, Spain
| | - Belén Moreno-Franco
- Instituto de Investigación Sanitaria Aragón, Hospital Universitario Miguel Servet, 50009 Zaragoza, Spain
- Department of Preventive Medicine and Public Health, Universidad de Zaragoza, 50009 Zaragoza, Spain
- CIBERCV (CIBER de Enfermedades Cardiovasculares), 28029 Madrid, Spain
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7
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Li XY, Zhang YX, Wang XB, Nan YX, Wang DD, Sun MH, Chen HY, Guo RH, Leng X, Du Q, Pan BC, Wu QJ, Zhao YH. Associations between dietary macronutrient quality and asthenozoospermia risk: a hospital-based case-control study. Food Funct 2024; 15:6383-6394. [PMID: 38819120 DOI: 10.1039/d4fo01234h] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/01/2024]
Abstract
Background & aims: Macronutrients are the main part of the human diet and can affect multiple health outcomes. Nevertheless, associations between dietary macronutrient quality and asthenozoospermia risk have not been reported to date. Thus, this study aimed to be the first to explore the associations between macronutrient quality and asthenozoospermia risk using the novel multidimensional macronutrient quality index (MQI). Methods: A case-control study was conducted at infertility clinics of Shengjing Hospital of China Medical University during June and December 2020, including 552 asthenozoospermia cases and 585 normozoospermia controls. Data on diet were collected using a validated food frequency questionnaire. MQI was estimated according to the carbohydrate quality index (CQI), fat quality index (FQI), and protein quality index (PQI). Binary logistic regression models were performed to calculate the odds ratio (OR) with a 95% confidence interval (CI). Subgroup and interaction analyses were performed based on age, body mass index, physical activity, smoking, drinking, and education level. Dose-response relationships were evaluated by restricted cubic splines. Sensitivity analyses were performed in two ways. First, participants with a dietary change were excluded to lower potential reverse causation. Then, we used the healthy plate protein source quality index instead of PQI to redefine MQI. Results: No statistically significant association was observed between dietary MQI and asthenozoospermia risk (OR = 1.24, 95% CI: 0.88-1.73). The sub-indices of MQI, CQI, FQI, and PQI, failed to be identified as having a statistically significant association with asthenozoospermia risk (OR = 1.35, 95% CI: 0.92-1.97 for CQI; OR = 1.13, 95% CI: 0.84-1.53 for FQI; OR = 1.28, 95% CI: 0.92-1.78 for PQI). However, CQI showed a positive association with the risk of asthenozoospermia among non-drinkers (Ptrend < 0.05) and highly educated participants (OR = 1.82, 95% CI: 1.13-2.94; Ptrend < 0.05). Additionally, there was a multiplicative interaction between CQI and education level for asthenozoospermia risk (P < 0.05). Conclusions: Our findings demonstrated no association of MQI and its sub-indices with asthenozoospermia risk except for CQI. Although our findings are mostly non-significant, they contribute novel knowledge to this research field and lay the foundation for future studies.
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Affiliation(s)
- Xiao-Ying Li
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China.
- Liaoning Key Laboratory of Precision Medical Research on Major Chronic Disease, Liaoning, China
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China
| | - Yi-Xiao Zhang
- Department of Urology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Xiao-Bin Wang
- Center for Reproductive Medicine, Shengjing Hospital of China Medical University, Shenyang, China.
| | - Yu-Xin Nan
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China.
- Liaoning Key Laboratory of Precision Medical Research on Major Chronic Disease, Liaoning, China
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China
| | - Dong-Dong Wang
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China.
- Liaoning Key Laboratory of Precision Medical Research on Major Chronic Disease, Liaoning, China
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China
| | - Ming-Hun Sun
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China.
- Liaoning Key Laboratory of Precision Medical Research on Major Chronic Disease, Liaoning, China
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China
| | - Hong-Yu Chen
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China.
- Liaoning Key Laboratory of Precision Medical Research on Major Chronic Disease, Liaoning, China
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China
| | - Ren-Hao Guo
- Center for Reproductive Medicine, Shengjing Hospital of China Medical University, Shenyang, China.
| | - Xu Leng
- Center for Reproductive Medicine, Shengjing Hospital of China Medical University, Shenyang, China.
| | - Qiang Du
- Center for Reproductive Medicine, Shengjing Hospital of China Medical University, Shenyang, China.
| | - Bo-Chen Pan
- Center for Reproductive Medicine, Shengjing Hospital of China Medical University, Shenyang, China.
| | - Qi-Jun Wu
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China.
- Liaoning Key Laboratory of Precision Medical Research on Major Chronic Disease, Liaoning, China
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China
- NHC Key Laboratory of Advanced Reproductive Medicine and Fertility (China Medical University), National Health Commission, Shenyang, China
| | - Yu-Hong Zhao
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China.
- Liaoning Key Laboratory of Precision Medical Research on Major Chronic Disease, Liaoning, China
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China
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8
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Braun TS, Drobner T, Kipp K, Kiehntopf M, Schlattmann P, Lorkowski S, Dawczynski C. Validation of Nutritional Approaches to Modulate Cardiovascular and Diabetic Risk Factors in Patients with Hypertriglyceridemia or Prediabetes-The MoKaRi II Randomized Controlled Study. Nutrients 2024; 16:1261. [PMID: 38732508 PMCID: PMC11085300 DOI: 10.3390/nu16091261] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2024] [Revised: 04/19/2024] [Accepted: 04/22/2024] [Indexed: 05/13/2024] Open
Abstract
Hypertriglyceridemia and diabetes mellitus type 2 are among the most important metabolic diseases globally. Diet plays a vital role in the development and progression of both clinical pictures. For the 10-week randomized, controlled, intervention study, 67 subjects with elevated plasma triglyceride (TG) concentrations (≥1.7 mmol/L) and 69 subjects with elevated fasting glucose concentrations (≥5.6 < 7.0 mmol/L) were recruited. The intervention groups received specially developed, individualized menu plans and regular counseling sessions to lower (A) TG or (B) fasting glucose and glycated hemoglobin A1c as well as other cardiovascular and diabetic risk factors. The hypertriglyceridemia intervention group was further supplemented with fish oil (3.5 g/d eicosapentaenoic acid + docosahexaenoic acid). The two control groups maintained a typical Western diet. Blood samples were taken every 2 weeks, and anthropometric data were collected. A follow-up examination was conducted after another 10 weeks. In both intervention groups, there were comparable significant reductions in blood lipids, glucose metabolism, and anthropometric parameters. These results were, with a few exceptions, significantly more pronounced in the intervention groups than in the corresponding control groups (comparison of percentage change from baseline). In particular, body weight was reduced by 7.4% (6.4 kg) and 7.5% (5.9 kg), low-density lipoprotein cholesterol concentrations by 19.8% (0.8 mmol/L) and 13.0% (0.5 mmol/L), TG concentrations by 18.2% (0.3 mmol/L) and 13.0% (0.2 mmol/L), and homeostatic model assessment for insulin resistance by 31.8% (1.1) and 26.4% (0.9) (p < 0.05) in the hypertriglyceridemia and prediabetes intervention groups, respectively. Some of these changes were maintained until follow-up. In patients with elevated TG or fasting glucose, implementing individualized menu plans in combination with regular counseling sessions over 10 weeks led to a significant improvement in cardiovascular and diabetic risk factors.
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Affiliation(s)
- Theresa S. Braun
- Junior Research Group Nutritional Concepts, Institute of Nutritional Sciences, Friedrich Schiller University Jena, Dornburger Straße 25-29, 07743 Jena, Germany; (T.S.B.); (T.D.)
- Competence Cluster for Nutrition and Cardiovascular Health (nutriCARD) Halle-Jena-Leipzig, Dornburger Straße 25-29, 07743 Jena, Germany; (P.S.); (S.L.)
| | - Timo Drobner
- Junior Research Group Nutritional Concepts, Institute of Nutritional Sciences, Friedrich Schiller University Jena, Dornburger Straße 25-29, 07743 Jena, Germany; (T.S.B.); (T.D.)
- Competence Cluster for Nutrition and Cardiovascular Health (nutriCARD) Halle-Jena-Leipzig, Dornburger Straße 25-29, 07743 Jena, Germany; (P.S.); (S.L.)
| | - Kristin Kipp
- Department of Pediatrics and Adolescent Medicine, Sophien- and Hufeland Hospital, Henry-van-de-Velde-Str. 1, 99425 Weimar, Germany;
| | - Michael Kiehntopf
- Institute of Clinical Chemistry and Laboratory Diagnostics, University Hospital Jena, Am Klinikum 1, 07747 Jena, Germany;
| | - Peter Schlattmann
- Competence Cluster for Nutrition and Cardiovascular Health (nutriCARD) Halle-Jena-Leipzig, Dornburger Straße 25-29, 07743 Jena, Germany; (P.S.); (S.L.)
- Department of Medical Statistics and Epidemiology, Institute of Medical Statistics, Computer and Data Sciences, University Hospital Jena, Bachstraße 18, 07743 Jena, Germany
| | - Stefan Lorkowski
- Competence Cluster for Nutrition and Cardiovascular Health (nutriCARD) Halle-Jena-Leipzig, Dornburger Straße 25-29, 07743 Jena, Germany; (P.S.); (S.L.)
- Department of Nutritional Biochemistry and Physiology, Institute of Nutritional Sciences, Friedrich Schiller University Jena, Dornburger Straße 25, 07743 Jena, Germany
| | - Christine Dawczynski
- Junior Research Group Nutritional Concepts, Institute of Nutritional Sciences, Friedrich Schiller University Jena, Dornburger Straße 25-29, 07743 Jena, Germany; (T.S.B.); (T.D.)
- Competence Cluster for Nutrition and Cardiovascular Health (nutriCARD) Halle-Jena-Leipzig, Dornburger Straße 25-29, 07743 Jena, Germany; (P.S.); (S.L.)
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9
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Farhadnejad H, Mokhtari E, Teymoori F, Jahromi MK, Saber N, Ahmadirad H, Norouzzadeh M, Mirmiran P, Azizi F. Macronutrients quality indices and risk of metabolic syndrome and its components in Iranian adults. BMC Cardiovasc Disord 2024; 24:126. [PMID: 38408923 PMCID: PMC10898212 DOI: 10.1186/s12872-024-03779-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2023] [Accepted: 02/10/2024] [Indexed: 02/28/2024] Open
Abstract
BACKGROUND/AIM Evidence from recent studies suggested that the quality of dietary macronutrients can play a possible role in predicting the risk of metabolic disorders. In the current study, we aimed to assess the association of carbohydrate quality index (CQI) and protein score with the risk of metabolic syndrome (MetS) in Iranian adults. METHODS This prospective study was conducted within the framework of the Tehran Lipid and Glucose Study on 1738 individuals aged between 40 and 70 years old, who were followed up for a mean of 6.1 years. A food frequency questionnaire was used to determine CQI and protein scores. The multivariable adjusted Cox regression model was used to calculate the hazard ratio (HR) of MetS across quartiles of protein score and CQI, and its components. RESULTS The mean ± standard deviation (SD) age and body mass index of the study population (42.5% men) were 49.3 ± 7.5 years and 27.0 ± 4.0 kg/m2, respectively. Mean ± SD scores of CQI and protein for all participants were 12.6 ± 2.4 and 10.3 ± 3.5, respectively. During the study follow-up, 834(48.0%) new cases of MetS were ascertained. In the multivariable-adjusted model, the risk of MetS was decreased across quartiles of CQI (HR = 0.83;95%CI:0.69-1.00, Ptrend=0.025) and protein score (HR = 0.75; 95% CI:0.60-0.94, Ptrend=0.041). Also, Of CQI components, the whole grain/total grains ratio showed a significant inverse association with the risk of MetS (HR = 0.75;95%CI:0.60-0.94, Ptrend=0.012). CONCLUSION Our findings revealed that a dietary pattern with higher CQI and protein score may be related to a reduced risk of MetS in adults.
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Affiliation(s)
- Hossein Farhadnejad
- Nutrition and Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Ebrahim Mokhtari
- Nutrition and Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Farshad Teymoori
- Nutrition and Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
- Department of Nutrition, School of Public Health, Iran University of Medical Sciences, Tehran, Iran.
| | - Mitra Kazemi Jahromi
- Endocrinology and Metabolism Research Center, Hormozgan University of Medical Sciences, Bandar Abbas, Iran
| | - Niloufar Saber
- Nutrition and Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Hamid Ahmadirad
- Nutrition and Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Mostafa Norouzzadeh
- Nutrition and Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
- Department of Nutrition, School of Public Health, Iran University of Medical Sciences, Tehran, Iran
| | - Parvin Mirmiran
- Nutrition and Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
- Department of Clinical Nutrition and Dietetics, Faculty of Nutrition Sciences and Food Technology, National Nutrition and Food Technology Research Institute, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
| | - Fereidoun Azizi
- Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
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10
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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] [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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11
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Fabios E, Martínez-González MÁ, García-Blanco L, de la O V, Santiago S, Zazpe I, Martín-Calvo N. Association between the Carbohydrate Quality Index (CQI) and Nutritional Adequacy in a Pediatric Cohort: The SENDO Project. CHILDREN (BASEL, SWITZERLAND) 2023; 10:1711. [PMID: 37892374 PMCID: PMC10605036 DOI: 10.3390/children10101711] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/28/2023] [Revised: 10/17/2023] [Accepted: 10/18/2023] [Indexed: 10/29/2023]
Abstract
Suboptimal micronutrient intake in children remains a public health concern around the world. This study examined the relationship between a previously defined dietary carbohydrate quality index (CQI) and the risk of micronutrient intake inadequacy in a pediatric cohort of Spanish preschoolers. Children aged 4-5 years old were recruited at their medical center or at school, and information on sociodemographic, dietary, and lifestyle variables were collected through a self-administered online questionnaire. Dietary information was obtained from a validated 147-item semi-quantitative food frequency questionnaire. We calculated the CQI and categorized participants into quartiles according to their scores. We assessed the intakes of 20 micronutrients and evaluated the probability of intake inadequacy by using the estimated average requirement cut-off point. Generalized estimating equations were used to adjust for potential confounders and account for the intra-cluster correlations between siblings. The adjusted proportions of children with an inadequate intake of ≥three micronutrients were 23%, 12%, 11%, and 9% in the first, second, third, and fourth quartiles of the CQI, respectively. Children in the highest quartile of the CQI had 0.22-fold lower odds (95% CI 0.10-0.48) of having ≥three inadequate micronutrient intakes than their peers in the lowest quartile. These findings reinforce the relevance of carbohydrate quality in children's diets.
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Affiliation(s)
- Elise Fabios
- Department of Preventive Medicine and Public Health, School of Medicine, University of Navarra, 31008 Pamplona, Spain; (E.F.); (V.d.l.O.); (I.Z.); (N.M.-C.)
| | - Miguel Ángel Martínez-González
- Department of Preventive Medicine and Public Health, School of Medicine, University of Navarra, 31008 Pamplona, Spain; (E.F.); (V.d.l.O.); (I.Z.); (N.M.-C.)
- IdiSNA, Instituto de Investigación Sanitaria de Navarra, 31008 Pamplona, Spain;
- Biomedical Research Centre Network on Obesity and Nutrition (CIBERobn), Physiopathology of Obesity and Nutrition, Institute of Health Carlos III, 28029 Madrid, Spain
| | - Lorena García-Blanco
- San Juan Primary Care Health Center, Servicio Navarro de Salud-Osasunbidea, 31011 Pamplona, Spain;
| | - Víctor de la O
- Department of Preventive Medicine and Public Health, School of Medicine, University of Navarra, 31008 Pamplona, Spain; (E.F.); (V.d.l.O.); (I.Z.); (N.M.-C.)
- Precision Nutrition and Cardiometabolic Health Program, IMDEA Food, 28049 Madrid, Spain
| | - Susana Santiago
- IdiSNA, Instituto de Investigación Sanitaria de Navarra, 31008 Pamplona, Spain;
- Department of Nutrition, Food Science and Physiology, School of Pharmacy, University of Navarra, 31008 Pamplona, Spain
| | - Itziar Zazpe
- Department of Preventive Medicine and Public Health, School of Medicine, University of Navarra, 31008 Pamplona, Spain; (E.F.); (V.d.l.O.); (I.Z.); (N.M.-C.)
- IdiSNA, Instituto de Investigación Sanitaria de Navarra, 31008 Pamplona, Spain;
- Biomedical Research Centre Network on Obesity and Nutrition (CIBERobn), Physiopathology of Obesity and Nutrition, Institute of Health Carlos III, 28029 Madrid, Spain
- Department of Nutrition, Food Science and Physiology, School of Pharmacy, University of Navarra, 31008 Pamplona, Spain
| | - Nerea Martín-Calvo
- Department of Preventive Medicine and Public Health, School of Medicine, University of Navarra, 31008 Pamplona, Spain; (E.F.); (V.d.l.O.); (I.Z.); (N.M.-C.)
- IdiSNA, Instituto de Investigación Sanitaria de Navarra, 31008 Pamplona, Spain;
- Biomedical Research Centre Network on Obesity and Nutrition (CIBERobn), Physiopathology of Obesity and Nutrition, Institute of Health Carlos III, 28029 Madrid, Spain
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12
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Demangeat A, Hornero-Ramirez H, Meynier A, Sanoner P, Atkinson FS, Nazare JA, Vinoy S. Complementary Nutritional Improvements of Cereal-Based Products to Reduce Postprandial Glycemic Response. Nutrients 2023; 15:4401. [PMID: 37892479 PMCID: PMC10609865 DOI: 10.3390/nu15204401] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Revised: 10/06/2023] [Accepted: 10/11/2023] [Indexed: 10/29/2023] Open
Abstract
High glycemic response (GR) is part of cardiometabolic risk factors. Dietary polyphenols, starch digestibility, and dietary fibers could play a role in modulating GR. We formulated cereal products with high dietary fibers, polyphenols, and slowly digestible starch (SDS) contents to test their impact on the glycemic index (GI) and insulin index (II). Twelve healthy subjects were randomized in a crossover-controlled study to measure the GI and II of four biscuits according to ISO-26642(2010). Two types of biscuits were enriched with dietary fibers and polyphenols and high in SDS, and two similar control biscuits with low levels of these compounds were compared. The subjects consumed 50 g of available carbohydrates from the biscuits or from a glucose solution (reference). Glycemic and insulinemic responses were monitored for 2 h after the start of the consumption. The two enriched biscuits led to low GI and II (GI: 46 ± 5 SEM and 43 ± 4 SEM and II: 54 ± 5 SEM and 45 ± 3 SEM) when controls had moderate GI and II (GI: 57 ± 5 SEM and 58 ± 5 SEM and II: 61 ± 4 SEM and 61 ± 4 SEM). A significant difference of 11 and 15 units between the GI of enriched and control products was obtained. These differences may be explained by the polyphenol contents and high SDS levels in enriched products as well as potentially the dietary fiber content. This study provides new proposals of food formulations to induce beneficial health effects which need to be confirmed in a longer-term study in the context of the SINFONI consortium.
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Affiliation(s)
- Agnès Demangeat
- Nutrition Research, Paris-Saclay Tech Center, Mondelez International R&D, 91400 Saclay, France; (A.D.); (A.M.)
| | - Hugo Hornero-Ramirez
- Centre de Recherche En Nutrition Humaine Rhône-Alpes, Univ-Lyon, CarMeN Laboratory, Hospices Civils de Lyon, Cens, Université Claude Bernard Lyon1, 69310 Lyon, France; (H.H.-R.)
| | - Alexandra Meynier
- Nutrition Research, Paris-Saclay Tech Center, Mondelez International R&D, 91400 Saclay, France; (A.D.); (A.M.)
| | - Philippe Sanoner
- Symrise-Diana Food SAS, Campus 2, 7 Allée Ermengarde d’Anjou, ZAC Atalante Champeaux, 35011 Rennes, France;
| | - Fiona S. Atkinson
- School of Life and Environmental Sciences and the Charles Perkins Centre, The University of Sydney, Sydney, NSW 2006, Australia;
| | - Julie-Anne Nazare
- Centre de Recherche En Nutrition Humaine Rhône-Alpes, Univ-Lyon, CarMeN Laboratory, Hospices Civils de Lyon, Cens, Université Claude Bernard Lyon1, 69310 Lyon, France; (H.H.-R.)
| | - Sophie Vinoy
- Nutrition Research, Paris-Saclay Tech Center, Mondelez International R&D, 91400 Saclay, France; (A.D.); (A.M.)
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13
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Ramírez-Garza SL, Laveriano-Santos EP, Moreno JJ, Bodega P, de Cos-Gandoy A, de Miguel M, Santos-Beneit G, Fernández-Alvira JM, Fernández-Jiménez R, Martínez-Gómez J, Ruiz-León AM, Estruch R, Lamuela-Raventós RM, Tresserra-Rimbau A. Metabolic syndrome, adiposity, diet, and emotional eating are associated with oxidative stress in adolescents. Front Nutr 2023; 10:1216445. [PMID: 37789897 PMCID: PMC10543258 DOI: 10.3389/fnut.2023.1216445] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2023] [Accepted: 08/15/2023] [Indexed: 10/05/2023] Open
Abstract
Background Metabolic syndrome (MS), a condition related to adiposity and oxidative stress, can develop in adolescence, a critical stage in life that impacts health in adulthood. However, there is scarce scientific research about the relationship between lifestyle factors, emotion management, and oxidative stress in this phase of life. Aim To analyze whether nutritional parameters, lifestyle factors, emotion management, and MS in adolescents are associated with oxidative stress measured by the biomarker 8-isoprostane. Methods A cross-sectional study was carried out in 132 adolescents (48.5% girls, aged 12 ± 0.48 years) and data were collected on nutritional parameters (anthropometric measurements, biochemical analyzes, and blood pressure), lifestyle factors (physical activity, sleep, and diet), and emotion management (self-esteem, emotional eating, and mood). 8-isoprostane was analyzed in spot urine samples. The study population was categorized in three groups (healthy, at-risk, and with MS) using the International Diabetes Federation definition of MS in adolescents. To capture more complex interactions, a multiple linear regression was used to analyze the association between 8-isoprostane and the aforementioned variables. Results Urinary 8-isoprostane levels were significantly higher in the MS group compared to the healthy group (1,280 ± 543 pg./mg vs. 950 ± 416 pg./mg respectively). In addition, univariable analysis revealed positive significant associations between 8-isoprostane and body mass index, waist circumference, waist-to-height ratio, body fat percentage, blood lipid profile and glucose, emotional eating, and refined cereal intake. Conversely, a negative significant association was found between 8-isoprostane and sleep duration and fish intake. The multiple linear regression analysis revealed associations between 8-isoprostane and LDL-c (β = 0.173 value of p = 0.049), emotional eating (low β = 0.443, value of p = 0.036; high β = 0.152, value of p = 0.470), refined cereal intake (β =0.191, value of p = 0.024), and fish intake (β = -0.187, value of p = 0.050). Conclusion The MS group, LDL-c, emotional eating, and high refined cereals and low fish intakes were associated with higher levels of oxidative stress in an adolescent population.
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Affiliation(s)
- Sonia L. Ramírez-Garza
- Department of Nutrition, Food Science and Gastronomy, XIA, School of Pharmacy and Food Sciences, Institute for Nutrition and Food Safety Research, University of Barcelona, Barcelona, Spain
| | - Emily P. Laveriano-Santos
- Department of Nutrition, Food Science and Gastronomy, XIA, School of Pharmacy and Food Sciences, Institute for Nutrition and Food Safety Research, University of Barcelona, Barcelona, Spain
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
| | - Juan J. Moreno
- Department of Nutrition, Food Science and Gastronomy, XIA, School of Pharmacy and Food Sciences, Institute for Nutrition and Food Safety Research, University of Barcelona, Barcelona, Spain
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
| | - Patricia Bodega
- Foundation for Science, Health and Education, Barcelona, Spain
- Centro Nacional de Investigaciones Cardiovasculares, Madrid, Spain
| | - Amaya de Cos-Gandoy
- Foundation for Science, Health and Education, Barcelona, Spain
- Centro Nacional de Investigaciones Cardiovasculares, Madrid, Spain
| | - Mercedes de Miguel
- Foundation for Science, Health and Education, Barcelona, Spain
- Centro Nacional de Investigaciones Cardiovasculares, Madrid, Spain
| | - Gloria Santos-Beneit
- Foundation for Science, Health and Education, Barcelona, Spain
- The Zena and Michael A. Wiener Cardiovascular Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | | | - Rodrigo Fernández-Jiménez
- Centro Nacional de Investigaciones Cardiovasculares, Madrid, Spain
- Hospital Universitario Clínico San Carlos, Madrid, Spain
- Centro de Investigación Biomédica En Red en Enfermedades CardioVasculares, Madrid, Spain
| | | | - Ana María Ruiz-León
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
- Department of Internal Medicine Hospital Clinic, Institut d’Investigacions Biomèdiques August Pi i Sunyer, University of Barcelona, Barcelona, Spain
| | - Ramon Estruch
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
- Department of Internal Medicine Hospital Clinic, Institut d’Investigacions Biomèdiques August Pi i Sunyer, University of Barcelona, Barcelona, Spain
| | - Rosa M. Lamuela-Raventós
- Department of Nutrition, Food Science and Gastronomy, XIA, School of Pharmacy and Food Sciences, Institute for Nutrition and Food Safety Research, University of Barcelona, Barcelona, Spain
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
| | - Anna Tresserra-Rimbau
- Department of Nutrition, Food Science and Gastronomy, XIA, School of Pharmacy and Food Sciences, Institute for Nutrition and Food Safety Research, University of Barcelona, Barcelona, Spain
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
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14
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Moslehi N, Golzarand M, Mirmiran P, Hosseinpanah F, Azizi F. Macronutrient quality and the incidence of metabolically unhealthy phenotypes in adults with normal weight and overweight/obesity. Obes Res Clin Pract 2023; 17:369-377. [PMID: 37696712 DOI: 10.1016/j.orcp.2023.09.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/11/2023] [Revised: 08/15/2023] [Accepted: 09/04/2023] [Indexed: 09/13/2023]
Abstract
OBJECTIVE We aimed to investigate the associations of macronutrient quality indices with the incident metabolically unhealthy normal weight (MUNW) and metabolically unhealthy overweight/obesity (MUO) phenotypes. METHODS This prospective study included 512 metabolically healthy normal weight and 787 metabolically healthy overweight/obese adults from the third study examination of the Tehran Lipid and Glucose Study. The participants were followed through the sixth study examination. Diet was measured with a food frequency questionnaire. The macronutrient quality index (MQI), carbohydrate quality index (CQI), fat quality index (FQI), and healthy plate quality index (HPPQI) were calculated. Hazard ratio (HR) and 95 % confidence interval (95 % CI) were estimated for incident unhealthy phenotypes using Cox regression. RESULTS After controlling all possible confounding factors, a one-point higher HPPQI was linked to a 28 % lower risk of MUNW (HR = 0.72; 95 % CI = 0.59, 0.87). Compared to the lowest quartile, the incident MUNW was also lower in the two last quartiles of the HPPQI. A one-unit increase in MQI was associated with a 5 % lower incident MUO (HR = 0.95; 95 % CI = 0.92, 0.99). The incident MUO was also higher for the highest compared to the lowest MQI quartile. In quartiles 2-4 of the HPPQI, incident MUO was lower with respective HRs (95 % CI) of 0.71 (0.54, 0.93), 0.60 (0.45, 0.80), and 0.66 (0.50, 0.86) in the fully-adjusted model. CONCLUSIONS A higher overall macronutrient quality was independently associated with a lower incident MUO. A higher dietary protein quality was related to a lower risk for MUNW and MUO.
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Affiliation(s)
- Nazanin Moslehi
- Nutrition and Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
| | - Mahdieh Golzarand
- Nutrition and Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Parvin Mirmiran
- Department of Clinical Nutrition and Dietetics, Faculty of Nutrition and Food Technology, National Nutrition and Food Technology Research Institute, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
| | - Farhad Hosseinpanah
- Obesity Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Fereidoun Azizi
- Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
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15
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Zheng G, Gong TT, Ma QP, Wei YF, Du ZD, Zhao JQ, Zou BJ, Yan S, Liu FH, Sun ML, Xiao Q, Gao S, Wu QJ, Zhao YH. The association of macronutrient quality and its interactions with energy intake with survival among patients with ovarian cancer: results from a prospective cohort study. Am J Clin Nutr 2023:S0002-9165(23)46306-X. [PMID: 37001589 DOI: 10.1016/j.ajcnut.2023.03.023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2022] [Revised: 03/07/2023] [Accepted: 03/22/2023] [Indexed: 03/31/2023] Open
Abstract
BACKGROUND Emerging evidence supports shifting the focus from the quantity of macronutrients to quality to obtain greater benefits for the prognosis of ovarian cancer (OC). Additionally, despite the high relevance between macronutrient quality and quantity, the interaction of these parameters on OC survival remains unknown. OBJECTIVE A multidimensional macronutrient quality index (MQI) was applied to investigate the association between overall macronutrient quality and the survival of patients with OC. METHODS A prospective cohort study was conducted with 701 females diagnosed with OC who were enrolled from 2015 to 2020. Dietary intake information was obtained from a validated food frequency questionnaire. The MQI was calculated based on 3 quality indices: carbohydrate quality index (CQI), fat quality index (FQI), and protein quality index (PQI). Cox proportional hazards regression was conducted to calculate HRs and 95% CIs. Furthermore, we evaluated whether energy intake status (total energy intake and energy balance) modified the association between MQI and OC survival. RESULTS During a median follow-up period of 38 (interquartile: 35-40) mo, 130 deaths occurred. The prediagnosis high MQI scores were associated with substantially improved survival among females with OC (HRtertile 3 vs. tertile 1 = 0.50, 95% CI: 0.33, 0.77). For sub-indices of the MQI, higher CQI (HR = 0.60, 95% CI: 0.36, 0.99), higher FQI (HR = 0.55, 95% CI: 0.34, 0.87), and higher PQI (HR = 0.58, 95% CI: 0.35, 0.94) scores were all associated with better survival. Notably, significant interactions were observed for the MQI score with total energy intake and energy balance as well as the quantity and quality of carbohydrates on survival. CONCLUSIONS Intake of high-quality macronutrients before diagnosis was associated with improved survival among females with OC, especially for those with energy imbalance. Am J Clin Nutr 2023;xxx:xx-xx.
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Affiliation(s)
- Gang Zheng
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China; Liaoning Key Laboratory of Precision Medical Research on Major Chronic Disease, Liaoning Province, Shenyang, China
| | - Ting-Ting Gong
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Qi-Peng Ma
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Yi-Fan Wei
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China; Liaoning Key Laboratory of Precision Medical Research on Major Chronic Disease, Liaoning Province, Shenyang, China
| | - Zong-Da Du
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China; Liaoning Key Laboratory of Precision Medical Research on Major Chronic Disease, Liaoning Province, Shenyang, China
| | - Jun-Qi Zhao
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China; Liaoning Key Laboratory of Precision Medical Research on Major Chronic Disease, Liaoning Province, Shenyang, China
| | - Bing-Jie Zou
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China; Liaoning Key Laboratory of Precision Medical Research on Major Chronic Disease, Liaoning Province, Shenyang, China
| | - Shi Yan
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China; Liaoning Key Laboratory of Precision Medical Research on Major Chronic Disease, Liaoning Province, Shenyang, China
| | - Fang-Hua Liu
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China; Liaoning Key Laboratory of Precision Medical Research on Major Chronic Disease, Liaoning Province, Shenyang, China
| | - Ming-Li Sun
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Qian Xiao
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Song Gao
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Qi-Jun Wu
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China; Liaoning Key Laboratory of Precision Medical Research on Major Chronic Disease, Liaoning Province, Shenyang, China; Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China; Key Laboratory of Reproductive and Genetic Medicine (China Medical University), National Health Commission, Shenyang, China.
| | - Yu-Hong Zhao
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China; Liaoning Key Laboratory of Precision Medical Research on Major Chronic Disease, Liaoning Province, Shenyang, China.
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16
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Salehi Z, Ghosn B, Rahbarinejad P, Azadbakht L. Macronutrients and the state of happiness and mood in undergraduate youth of a military training course. Clin Nutr ESPEN 2023; 53:33-42. [PMID: 36657928 DOI: 10.1016/j.clnesp.2022.11.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2022] [Revised: 11/05/2022] [Accepted: 11/15/2022] [Indexed: 11/21/2022]
Abstract
BACKGROUND AND AIMS Previous studies have reported a high prevalence of mental disorders among military organizations. Depression and anxiety are among the most important mental disorders, and depression, suicidal ideation, and violence have been found to be negatively associated with happiness and social support. Therefore, improving mood and increasing happiness can reduce the prevalence of mental disorders in military centers. Diet can improve happiness through specific molecular mechanisms and change our mood by affecting the chemical composition of the brain. Therefore, the present study examined the relationship between the quality and quantity of macronutrients in soldiers' diets with their mood and happiness. METHODS In the current cross-sectional study, 300 healthy soldiers were selected. Food intake data was collected using 168-item semi-quantitative food frequency questionnaire during the last year of their military training 2-year period. Then, we calculated the quality and quantity of macronutrients. Mood was assessed using the Profile of Mood States (POMS) questionnaire and happiness with the Oxford Happiness Questionnaire (OHQ). RESULTS The mean ± standard deviation of participants' age was 23.70 ± 1.76 years. A significant relationship was observed between mood score and carbohydrate quantity (OR: 0.32, 95% CI: 0.12-0.88, P-value for trend = 0.03). This suggests that increasing carbohydrate intake improved the participants' mood. No association was found between mood score with protein quantity (OR: 2.15, 95% CI: 0.80-5.75; P-value for trend = 0.12), and gram of fat intake (OR: 1.95, 95% CI: 0.74-5.13; P-value for trend = 0.15). None of the indicators related to macronutrient quality were significantly associated with happiness and mood scores in young soldiers (P ≥ 0.05). CONCLUSIONS Findings presented in this study showed that increased carbohydrate intake was significantly associated with better mood. However, mood is not related to the amount of proteins and fats and none of the parameters of macronutrient quality. Also, there was no significant relationship between the quantity and quality of macronutrients with happiness score.
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Affiliation(s)
- Zahra Salehi
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran
| | - Batoul Ghosn
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran
| | - Pegah Rahbarinejad
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran
| | - Leila Azadbakht
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran; Diabetes Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran; Department of Community Nutrition, School of Nutrition and Food Science, Isfahan University of Medical Sciences, Isfahan, Iran.
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17
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Omoto T, Kyozuka H, Murata T, Imaizumi K, Yamaguchi A, Fukuda T, Isogami H, Yasuda S, Sato A, Ogata Y, Shinoki K, Hosoya M, Yasumura S, Hashimoto K, Nishigori H, Fujimori K. Influence of preconception carbohydrate intake on hypertensive disorders of pregnancy: The Japan Environment and Children's Study. J Obstet Gynaecol Res 2023; 49:577-586. [PMID: 36411062 DOI: 10.1111/jog.15501] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2022] [Revised: 11/02/2022] [Accepted: 11/07/2022] [Indexed: 11/23/2022]
Abstract
AIM Hypertensive disorders of pregnancy (HDP) are a crucial cause of morbidity and mortality. We aimed to examine whether preconception carbohydrate intake is associated with new-onset HDP and small for gestational age (SGA) births. METHODS We identified 93 265 normotensive (primiparous, 37 387; multiparous, 55 878) participants from the Japan Environmental Children's Study database who delivered between 2011 and 2014. After excluding participants with multiple gestations, preconception hypertension, and insufficient data, primiparous and multiparous participants were categorized into five groups according to their preconception carbohydrate-intake quintiles (Q1 and Q5 were the lowest and highest groups, respectively). Multiple logistic regression analysis was performed to identify the effect of preconception carbohydrate intake on early (<34 weeks) and late-onset (≥34 weeks) HDP and the incidence of SGA births. RESULTS With the middle carbohydrate intake group (Q3) as a reference, the risk for late-onset HDP among multiparous women was higher in the Q5 group (adjusted odds ratio [aOR] 1.31, 95% confidence interval [CI] 1.02-1.69). The incidence of SGA births was higher in the Q1 group among both primiparous (aOR 1.16, 95% CI 1.01-1.33) and multiparous women (aOR 1.16, 95% CI 1.02-1.32). CONCLUSIONS Excessive carbohydrate intake increases the incidence of HDP in multiparous women, while low-carbohydrate intake increases the incidence of SGA births. New recommendations for preconception carbohydrate intake are required to prevent major HDP-related complications.
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Affiliation(s)
- Takahiro Omoto
- Fukushima Regional Center for the Japan Environmental and Children's Study, Fukushima, Japan.,Department of Obstetrics and Gynecology, Fukushima Medical University School of Medicine, Fukushima, Japan
| | - Hyo Kyozuka
- Fukushima Regional Center for the Japan Environmental and Children's Study, Fukushima, Japan.,Department of Obstetrics and Gynecology, Fukushima Medical University School of Medicine, Fukushima, Japan.,Department of Obstetrics and Gynecology, Ohta Nisinouchi Hospital, Koriyama City, Fukushima, Japan
| | - Tsuyoshi Murata
- Fukushima Regional Center for the Japan Environmental and Children's Study, Fukushima, Japan.,Department of Obstetrics and Gynecology, Fukushima Medical University School of Medicine, Fukushima, Japan
| | - Karin Imaizumi
- Fukushima Regional Center for the Japan Environmental and Children's Study, Fukushima, Japan.,Department of Obstetrics and Gynecology, Fukushima Medical University School of Medicine, Fukushima, Japan
| | - Akiko Yamaguchi
- Fukushima Regional Center for the Japan Environmental and Children's Study, Fukushima, Japan.,Department of Obstetrics and Gynecology, Fukushima Medical University School of Medicine, Fukushima, Japan
| | - Toma Fukuda
- Fukushima Regional Center for the Japan Environmental and Children's Study, Fukushima, Japan.,Department of Obstetrics and Gynecology, Fukushima Medical University School of Medicine, Fukushima, Japan
| | - Hirotaka Isogami
- Fukushima Regional Center for the Japan Environmental and Children's Study, Fukushima, Japan.,Department of Obstetrics and Gynecology, Fukushima Medical University School of Medicine, Fukushima, Japan
| | - Shun Yasuda
- Fukushima Regional Center for the Japan Environmental and Children's Study, Fukushima, Japan.,Department of Obstetrics and Gynecology, Fukushima Medical University School of Medicine, Fukushima, Japan
| | - Akiko Sato
- Fukushima Regional Center for the Japan Environmental and Children's Study, Fukushima, Japan
| | - Yuka Ogata
- Fukushima Regional Center for the Japan Environmental and Children's Study, Fukushima, Japan
| | - Kosei Shinoki
- Fukushima Regional Center for the Japan Environmental and Children's Study, Fukushima, Japan
| | - Mitsuaki Hosoya
- Fukushima Regional Center for the Japan Environmental and Children's Study, Fukushima, Japan.,Department of Pediatrics, Fukushima Medical University School of Medicine, Fukushima, Japan
| | - Seiji Yasumura
- Fukushima Regional Center for the Japan Environmental and Children's Study, Fukushima, Japan.,Department of Public Health, Fukushima Medical University School of Medicine, Fukushima, Japan
| | - Koichi Hashimoto
- Fukushima Regional Center for the Japan Environmental and Children's Study, Fukushima, Japan.,Department of Pediatrics, Fukushima Medical University School of Medicine, Fukushima, Japan
| | - Hidekazu Nishigori
- Fukushima Regional Center for the Japan Environmental and Children's Study, Fukushima, Japan.,Fukushima Medical Center for Children and Women, Fukushima Medical University, Fukushima, Japan
| | - Keiya Fujimori
- Fukushima Regional Center for the Japan Environmental and Children's Study, Fukushima, Japan.,Department of Obstetrics and Gynecology, Fukushima Medical University School of Medicine, Fukushima, Japan
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18
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Nouri M, Mahmoodi M, Shateri Z, Ghadiri M, Rajabzadeh-Dehkordi M, Vali M, Gargari BP. How do carbohydrate quality indices influence on bone mass density in postmenopausal women? A case-control study. BMC Womens Health 2023; 23:42. [PMID: 36721166 PMCID: PMC9887922 DOI: 10.1186/s12905-023-02188-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Accepted: 01/23/2023] [Indexed: 02/01/2023] Open
Abstract
BACKGROUND Carbohydrates are the primary energy source in Asian countries, including Iran. An emerging method can be used to measure the quality of carbohydrates, including the carbohydrate quality index (CQI), which includes a variety of components. Low-carbohydrate diet score (LCDS) has been proposed as a new method of scoring micronutrient intake that could provide a reasonable explanation for the link between diet and the risk of chronic diseases. OBJECTIVE This study aimed to investigate the relationship between CQI, LCDS, glycemic index (GI), glycemic load (GL), insulin load (IL), and insulin index (II) with bone mass density (BMD) in postmenopausal women. METHOD In this case-control study, 131 postmenopausal women with osteoporosis/osteopenia and 131 healthy postmenopausal women aged 45-65 participated. The dual-energy X-ray absorptiometry (DEXA) method measured the BMD of the lumbar vertebrae and femoral neck. A validated semi-quantitative food frequency questionnaire was used to assess dietary intake. Logistic regression were used to evaluate the relation between GI, GL, II, IL, CQI, and LCDS with BMD. RESULTS Diets with higher GI increased the risk of osteopenia and osteoporosis, but LCDS and CQI decreased the risk of osteopenia and osteoporosis. CONCLUSION These findings suggest that a higher intake of fruits and vegetables and receiving various dietary vitamins, minerals, and antioxidant compounds may be a useful way to prevent osteopenia in Iranian women.
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Affiliation(s)
- Mehran Nouri
- Health Policy Research Center, Institute of Health, Shiraz University of Medical Sciences, Shiraz, Iran
- Student Research Committee, Shiraz University of Medical Sciences, Shiraz, Iran
- Department of Community Nutrition, School of Nutrition and Food Science, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Marzieh Mahmoodi
- Student Research Committee, Shiraz University of Medical Sciences, Shiraz, Iran
- Nutrition Research Center, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Zainab Shateri
- Student Research Committee, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Marzieh Ghadiri
- Student Research Committee, Department of Biochemistry and Diet Therapy, Faculty of Nutrition and Food Sciences, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Milad Rajabzadeh-Dehkordi
- Student Research Committee, Shiraz University of Medical Sciences, Shiraz, Iran
- Department of Community Nutrition, School of Nutrition and Food Science, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Mohebat Vali
- Student Research Committee, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Bahram Pourghassem Gargari
- Nutrition Research Center, Department of Biochemistry and Diet Therapy, Faculty of Nutrition and Food Sciences, Tabriz University of Medical Sciences, Tabriz, Iran
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19
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Cui Z, Wu M, Liu K, Wang Y, Kang T, Meng S, Meng H. Associations between Conventional and Emerging Indicators of Dietary Carbohydrate Quality and New-Onset Type 2 Diabetes Mellitus in Chinese Adults. Nutrients 2023; 15:647. [PMID: 36771355 PMCID: PMC9919288 DOI: 10.3390/nu15030647] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2022] [Revised: 01/23/2023] [Accepted: 01/23/2023] [Indexed: 01/31/2023] Open
Abstract
Dietary glycemic index (GI), carbohydrate to fiber ratio (CF) and carbohydrate quality index (CQI) are conventional and emerging indicators for carbohydrate quality. We aimed to investigate the associations between these indicators and new-onset type 2 diabetes mellitus (T2DM) risk among Chinese adults. This prospective cohort study included 14,590 adults from the China Health and Nutrition Survey without cardiometabolic diseases at baseline. The associations between dietary GI, CF and CQI and T2DM risk were assessed using Cox proportional hazard regression analysis and dose-response relationships were explored using restricted cubic spline and threshold analysis. After a mean follow-up duration of 10 years, a total of 1053 new-onset T2DM cases occurred. There were U-shaped associations between dietary GI and CF and T2DM risk (both P-nonlinear < 0.0001), and T2DM risk was lowest when dietary GI was 72.85 (71.40, 74.05) and CF was 20.55 (17.92, 21.91), respectively (both P-log likelihood ratio < 0.0001). Inverse associations between CQI and T2DM risk specifically existed in participants < 60 y or attended middle school or above (both P-trend < 0.05). These findings indicated that moderate dietary GI and CF range and a higher dietary CQI score may be suggested for T2DM prevention in Chinese adults.
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Affiliation(s)
- Zhixin Cui
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen 518107, China
- Shenzhen Health Development Research and Data Management Center, Shenzhen 518028, China
| | - Man Wu
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen 518107, China
| | - Ke Liu
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen 518107, China
| | - Yin Wang
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen 518107, China
| | - Tong Kang
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen 518107, China
| | - Shuangli Meng
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen 518107, China
| | - Huicui Meng
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen 518107, China
- Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Guangzhou 510080, China
- Guangdong Province Engineering Laboratory for Nutrition Translation, Guangzhou 510080, China
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20
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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] [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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21
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de Abreu Ribeiro Pereira J, de Fátima Píccolo Barcelos M, Valério Villas Boas E, Hilsdorf Píccoli R, de Sales Guilarducci J, Corrêa Pereira R, Pauli JR, Batista Ferreira E, Cardoso de Angelis-Pereira M, Esper Cintra D. Combined effects of yacon flour and probiotic yogurt on the metabolic parameters and inflammatory and insulin signaling proteins in high-fat-diet-induced obese mice. JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE 2022; 102:7293-7300. [PMID: 35758165 DOI: 10.1002/jsfa.12095] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/26/2021] [Revised: 01/16/2022] [Accepted: 06/27/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND Prebiotics and probiotics may be effective dietary components that can alter the gut microbiota of the host and, consequently, overcome imbalances associated with obesity. This work aimed to evaluate the synergistic and isolated effects and mechanisms by which probiotic yogurt containing Bifidobacterium animalis and/or Lactobacillus acidophilus and yacon flour alter metabolic parameters and inflammatory and insulin signaling proteins in diet-induced obese mice. Swiss mice were fed a high-fat diet (n = 48) or a standard diet (control; n = 6) for 56 days. The 42 mice that gained the most weight were selected and divided into seven groups that received different combinations of probiotic yogurt and yacon flour. After 30 days, biochemical parameters (blood glucose, serum total cholesterol, and triacylglycerols), crude fat excretion in feces, and periepididymal fat were assessed and an immunoblotting analysis of insulin signaling proteins and interleukin-1β was conducted. RESULTS The combination of yacon flour and a yogurt with two strains of probiotics exerted positive effects on the parameters evaluated, such as decreased body weight (-6.5%; P < 0.05), fasting glucose (-23.1%; P < 0.05), and triacylglycerol levels (-21.4%; P < 0.05) and decreased periepididymal fat accumulation (-44.2%; P < 0.05). There was a decrease in inflammatory markers (P < 0.001) and an improvement in insulin signaling (P < 0.001). CONCLUSIONS The combination of a prebiotic with two strains of probiotics in a food matrix may exert a protective effect against obesity-associated inflammation, improving insulin resistance, even in the short term. © 2022 Society of Chemical Industry.
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Affiliation(s)
| | | | | | | | | | - Rafaela Corrêa Pereira
- Department of Nutrition, Federal University of Lavras, Lavras, Brazil
- Department of Agricultural Sciences, Federal Institute of Minas Gerais, Bambuí, Brazil
| | - José Rodrigo Pauli
- Laboratory of Molecular Biology of Exercise (LaBMEx), School of Applied Science, University of Campinas, Limeira, Brazil
| | | | | | - Dennys Esper Cintra
- Laboratory of Nutritional Genomics (LABGeN), School of Applied Science, University of Campinas, Limeira, Brazil
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22
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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: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [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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Khosravinia D, Shiraseb F, Mirzababaei A, Daneshzad E, Jamili S, Clark CCT, Mirzaei K. The association of Carbohydrate Quality Index with cardiovascular disease risk factors among women with overweight and obesity: A cross-sectional study. Front Nutr 2022; 9:987190. [PMID: 36159469 PMCID: PMC9493440 DOI: 10.3389/fnut.2022.987190] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2022] [Accepted: 08/22/2022] [Indexed: 11/20/2022] Open
Abstract
Purpose Diet is one of the most important factors influencing cardiovascular disease (CVD). The negative relationship between carbohydrate intake with lipid profiles and body weight has been previously investigated. However, this is the first study seeking to assess the association of carbohydrate quality index (CQI) with CVD risk factors. Methods This cross-sectional study was conducted on 291 Iranian overweight and obese women, with a body mass index (BMI) ranging between 25 and 40 kg/m2, and aged 18–48 years. CQI scores were calculated by using a validated 168-item semi-quantitative food frequency questionnaire (FFQ). Biochemical and anthropometric measures were assessed using standard methods, and bioelectrical impedance was used to measure body composition. Results We observed that fruits (P < 0.001), vegetables (P < 0.001), and protein (P = 0.002) intake were higher in participants with a higher score of the CQI. When we adjusted for potential confounders, we observed that the CQI was negatively related to systolic blood pressure (SBP) (β = −6.10; 95% CI = −10.11, −2.10; P = 0.003) and DBP (β = −3.11; 95% CI = −6.15, −0.08; P = 0.04). Also, greater adherence to a high CQI dietary pattern, compared to the reference group, was negatively related to HOMA-IR (β = −0.53; 95% CI = −0.94, −0.12) (P for trend = 0.01), WC (β = −3.18; 95% CI = −6.26, −0.10) (P for trend = 0.04), BMI (β = −1.21; 95% CI = −2.50, 0.07) (P for trend = 0.06), and BF (β = −2.06; 95% CI = −3.82, −0.30) (P for trend = 0.02). Conclusion In line with previous studies, the CQI was inversely associated with blood pressure, WC, BMI, and BF. Further prospective and clinical trial studies are suggested to confirm these data.
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Affiliation(s)
- Darya Khosravinia
- Department of Nutrition, Science and Research Branch, Islamic Azad University, Tehran, Iran
| | - Farideh Shiraseb
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran
| | - Atieh Mirzababaei
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran
- Atieh Mirzababaei
| | - Elnaz Daneshzad
- Non-Communicable Diseases Research Center, Alborz University of Medical Sciences, Karaj, Iran
| | - Shahin Jamili
- Department of Surgery, Shahid Beheshti, Fellowship of Minimally Invasive Surgery, Tehran, Iran
| | - Cain C. T. Clark
- Centre for Intelligent Healthcare, Coventry University, Coventry, United Kingdom
| | - Khadijeh Mirzaei
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran
- Food Microbiology Research Center, Tehran University of Medical Sciences, Tehran, Iran
- *Correspondence: Khadijeh Mirzaei
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24
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Cano-Ibáñez N, Quintana-Navarro GM, Alcala-Diaz JF, Rangel-Zuñiga OA, Camargo A, Yubero-Serrano EM, Perez-Corral I, Arenas-de Larriva AP, Garcia-Rios A, Perez-Martinez P, Delgado-Lista J, Lopez-Miranda J. Long-term effect of a dietary intervention with two-healthy dietary approaches on food intake and nutrient density in coronary patients: results from the CORDIOPREV trial. Eur J Nutr 2022; 61:3019-3036. [PMID: 35348875 PMCID: PMC9363404 DOI: 10.1007/s00394-022-02854-7] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2021] [Accepted: 02/22/2022] [Indexed: 02/03/2023]
Abstract
BACKGROUND Cardiovascular disease (CVD) is the leading cause of disease burden in the world by non-communicable diseases. Nutritional interventions promoting high-quality dietary patterns with low caloric intake value and high nutrient density (ND) could be linked to a better control of CVD risk and recurrence of coronary disease. This study aims to assess the effects of a dietary intervention based on MedDiet or Low-Fat dietary intervention over changes in ND and food intake after 1 and 7 years of follow-up of the CORDIOPREV study. METHODS We prospectively analyzed the results of the 802 coronary patients randomized to two healthy dietary patterns (MedDiet = 425, Low-Fat Diet = 377) who completed the 7 years of follow-up and had all the dietary data need. Dietary intake information obtained from a validated 137-item Food Frequency Questionnaire was used to calculate 1- and 7-year changes in dietary intake and ND (measured as nutrient intake per 1000 kcal). T test was used to ascertain differences in food intake and ND between groups across follow-up time. Within-subject (dietary allocation group) differences were analyzed with ANOVA repeated measures. RESULTS From baseline to 7 years of follow-up, significant increases of vegetables, fruits, and whole cereals within groups (p < 0.001) was found. We found a higher increase in dietary intake of certain food groups with MedDiet in comparison with Low-Fat Diet for vegetables (46.1 g/day vs. 18.1 g/day, p < 00.1), fruits (121.3 g/day vs. 72.9 g/day), legumes (4.3 g/day vs. 0.16 g/day) and nuts (7.3 g/day vs. - 3.7 g/day). There was a decrease in energy intake over time in both groups, slightly higher in Low-Fat Diet compared to MedDiet group (- 427.6 kcal/day vs. - 279.8 kcal/day at 1st year, and - 544.6 kcal/day vs. - 215.3 kcal/day after 7 years of follow-up). ND of all the nutrients increased within group across follow-up time, except for Saturated Fatty Acids (SFA), cholesterol and sodium (p < 0.001). CONCLUSIONS A comprehensive dietary intervention improved quality of diet, reducing total energy intake and increasing the intake of healthy food groups and overall ND after 1 year and maintaining this trend after 7 years of follow-up. Our results reinforce the idea of the participation in trials, enhance nutrition literacy and produces better nutritional outcomes in adult patients with established CVD. CLINICAL TRIAL REGISTRY The trial was registered in 2009 at ClinicalTrials.gov (number NCT00924937).
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Affiliation(s)
- Naomi Cano-Ibáñez
- Department of Preventive Medicine and Public Health, University of Granada, 18071, Granada, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), 28029, Madrid, Spain
- Instituto de Investigación Biosanitaria ibs.GRANADA, Complejo Hospitales Universitarios de Granada/Universidad de Granada, 18071, Granada, Spain
| | - Gracia M Quintana-Navarro
- Lipids and Atherosclerosis Unit, Internal Medicine Unit, Reina Sofia University Hospital, Av. Menendez Pidal s/n, 14004, Cordoba, Spain
- Maimonides Biomedical Research Institute of Cordoba (IMIBIC), 14014, Cordoba, Spain
| | - Juan F Alcala-Diaz
- Lipids and Atherosclerosis Unit, Internal Medicine Unit, Reina Sofia University Hospital, Av. Menendez Pidal s/n, 14004, Cordoba, Spain
- Maimonides Biomedical Research Institute of Cordoba (IMIBIC), 14014, Cordoba, Spain
- Department of Medical and Surgical Sciences, Faculty of Medicine and Nursing, University of Cordoba, 14014, Cordoba, Spain
- CIBER Fisiopatologia de la Obesidad y Nutricion (CIBEROBN), Instituto de Salud Carlos III, 28029, Madrid, Spain
| | - Oriol A Rangel-Zuñiga
- Lipids and Atherosclerosis Unit, Internal Medicine Unit, Reina Sofia University Hospital, Av. Menendez Pidal s/n, 14004, Cordoba, Spain
- Maimonides Biomedical Research Institute of Cordoba (IMIBIC), 14014, Cordoba, Spain
- CIBER Fisiopatologia de la Obesidad y Nutricion (CIBEROBN), Instituto de Salud Carlos III, 28029, Madrid, Spain
| | - Antonio Camargo
- Lipids and Atherosclerosis Unit, Internal Medicine Unit, Reina Sofia University Hospital, Av. Menendez Pidal s/n, 14004, Cordoba, Spain
- Maimonides Biomedical Research Institute of Cordoba (IMIBIC), 14014, Cordoba, Spain
- CIBER Fisiopatologia de la Obesidad y Nutricion (CIBEROBN), Instituto de Salud Carlos III, 28029, Madrid, Spain
| | - Elena M Yubero-Serrano
- Lipids and Atherosclerosis Unit, Internal Medicine Unit, Reina Sofia University Hospital, Av. Menendez Pidal s/n, 14004, Cordoba, Spain
- Maimonides Biomedical Research Institute of Cordoba (IMIBIC), 14014, Cordoba, Spain
- CIBER Fisiopatologia de la Obesidad y Nutricion (CIBEROBN), Instituto de Salud Carlos III, 28029, Madrid, Spain
| | - Isabel Perez-Corral
- Lipids and Atherosclerosis Unit, Internal Medicine Unit, Reina Sofia University Hospital, Av. Menendez Pidal s/n, 14004, Cordoba, Spain
- Maimonides Biomedical Research Institute of Cordoba (IMIBIC), 14014, Cordoba, Spain
- CIBER Fisiopatologia de la Obesidad y Nutricion (CIBEROBN), Instituto de Salud Carlos III, 28029, Madrid, Spain
| | - Antonio P Arenas-de Larriva
- Lipids and Atherosclerosis Unit, Internal Medicine Unit, Reina Sofia University Hospital, Av. Menendez Pidal s/n, 14004, Cordoba, Spain
- Maimonides Biomedical Research Institute of Cordoba (IMIBIC), 14014, Cordoba, Spain
- CIBER Fisiopatologia de la Obesidad y Nutricion (CIBEROBN), Instituto de Salud Carlos III, 28029, Madrid, Spain
| | - Antonio Garcia-Rios
- Lipids and Atherosclerosis Unit, Internal Medicine Unit, Reina Sofia University Hospital, Av. Menendez Pidal s/n, 14004, Cordoba, Spain
- Maimonides Biomedical Research Institute of Cordoba (IMIBIC), 14014, Cordoba, Spain
- CIBER Fisiopatologia de la Obesidad y Nutricion (CIBEROBN), Instituto de Salud Carlos III, 28029, Madrid, Spain
| | - Pablo Perez-Martinez
- Lipids and Atherosclerosis Unit, Internal Medicine Unit, Reina Sofia University Hospital, Av. Menendez Pidal s/n, 14004, Cordoba, Spain
- Maimonides Biomedical Research Institute of Cordoba (IMIBIC), 14014, Cordoba, Spain
- Department of Medical and Surgical Sciences, Faculty of Medicine and Nursing, University of Cordoba, 14014, Cordoba, Spain
- CIBER Fisiopatologia de la Obesidad y Nutricion (CIBEROBN), Instituto de Salud Carlos III, 28029, Madrid, Spain
| | - Javier Delgado-Lista
- Lipids and Atherosclerosis Unit, Internal Medicine Unit, Reina Sofia University Hospital, Av. Menendez Pidal s/n, 14004, Cordoba, Spain.
- Maimonides Biomedical Research Institute of Cordoba (IMIBIC), 14014, Cordoba, Spain.
- Department of Medical and Surgical Sciences, Faculty of Medicine and Nursing, University of Cordoba, 14014, Cordoba, Spain.
- CIBER Fisiopatologia de la Obesidad y Nutricion (CIBEROBN), Instituto de Salud Carlos III, 28029, Madrid, Spain.
| | - Jose Lopez-Miranda
- Lipids and Atherosclerosis Unit, Internal Medicine Unit, Reina Sofia University Hospital, Av. Menendez Pidal s/n, 14004, Cordoba, Spain.
- Maimonides Biomedical Research Institute of Cordoba (IMIBIC), 14014, Cordoba, Spain.
- Department of Medical and Surgical Sciences, Faculty of Medicine and Nursing, University of Cordoba, 14014, Cordoba, Spain.
- CIBER Fisiopatologia de la Obesidad y Nutricion (CIBEROBN), Instituto de Salud Carlos III, 28029, Madrid, Spain.
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Kohl J, Hohberg V, Hauff P, Lang C, Faude O, Gollhofer A, König D. Development of a metric Healthy Eating Index-2015 and comparison with the Healthy Eating Index-2015 for the evaluation of dietary quality. Front Nutr 2022; 9:952223. [PMID: 36082033 PMCID: PMC9448016 DOI: 10.3389/fnut.2022.952223] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2022] [Accepted: 08/01/2022] [Indexed: 11/27/2022] Open
Abstract
Background Diet quality indices can provide important information about relationships between diet and health independent of energy balance. The Healthy Eating Index-2015 (HEI-2015) is widely used and has been extensively evaluated. However, due to imperial units the HEI-2015 is difficult to apply in countries with metric systems. Our objective was to develop a metric version of the HEI-2015 and compare it to the original. The metric Healthy Eating Index-2015 (mHEI-2015) is intended to simplify the application of a dietary quality index in countries using the metric system. Methods We developed a metric database logic following the methodology of the HEI-2015, which allows the application to metric databases and was applied to Food Patterns Equivalents Database (FPED). The HEI-2015 was calculated for the National Health and Nutrition Examination Survey (NHANES) 2017-2018 and the scoring standards for each component of the mHEI-2015 was calibrated against it. For the assessment of agreement between indices, HEI-2015 and mHEI-2015 were calculated for NHANES 2015-2016 and a Bland–Altman plot was created. Results Healthy Eating Index-2015 and mHEI-2015 for the NHANES 2015-2016 averaged 52.5 ± 13.5 and 52.6 ± 13.2, respectively. The total scores as well as component scores of the indices were strongly correlated. The Bland–Altman plot revealed a high agreement of the total scores. An illustrated analysis of six different menu plans showed only minor differences between the HEI-2015 and mHEI-2015 component scores. Conclusion The mHEI-2015 allows for superior analysis of metric dietary data to better examine the relationship between chronic diseases and diet. The streamlined metric methodology enables straightforward application to metric food databases and thus the development of country-specific indices.
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Affiliation(s)
- Jan Kohl
- Department of Sport and Sport Science, University of Freiburg, Freiburg im Breisgau, Germany
- *Correspondence: Jan Kohl,
| | - Vivien Hohberg
- Department of Sport, Exercise and Health, University of Basel, Basel, Switzerland
| | - Pascal Hauff
- Department of Sport and Sport Science, University of Freiburg, Freiburg im Breisgau, Germany
| | - Céline Lang
- Department of Sport, Exercise and Health, University of Basel, Basel, Switzerland
| | - Oliver Faude
- Department of Sport, Exercise and Health, University of Basel, Basel, Switzerland
| | - Albert Gollhofer
- Department of Sport and Sport Science, University of Freiburg, Freiburg im Breisgau, Germany
| | - Daniel König
- Department of Sport and Sport Science, University of Freiburg, Freiburg im Breisgau, Germany
- Department of Sport Science, Institute for Nutrition, Exercise and Health, University of Vienna, Vienna, Austria
- Department of Nutritional Sciences, Institute for Nutrition, Exercise and Health, University of Vienna, Vienna, Austria
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26
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Jiang Y, Zhao Y, Milne G, Dai Q, Chen Q, Zhang X, Lan Q, Rothman N, Gao YT, Cai Q, Shu XO, Zheng W, Yang G. Quality of dietary carbohydrate is more important than its quantity in lipid peroxidation. Am J Clin Nutr 2022; 116:189-196. [PMID: 35170729 PMCID: PMC9257472 DOI: 10.1093/ajcn/nqac047] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2021] [Accepted: 02/10/2022] [Indexed: 01/16/2023] Open
Abstract
BACKGROUND High glycemic index (GI) diets have been linked to elevated risk of cardiometabolic diseases. One possible underlying mechanism comes from high GI diet's potential to promote lipid peroxidation. OBJECTIVES We aim to evaluate whether and to what extent dietary carbohydrate quality and quantity are associated with systemic levels of lipid peroxidation in females. METHODS In this cross-sectional analysis of 2163 middle-aged women, a subset of the Shanghai Women's Health Study, we measured lipid peroxidation biomarkers F2-isoprostanes (F2-IsoPs) and its metabolite, 2,3-dinor-5,6-dihydro-15-F2t-IsoP (F2-IsoP-M), in urine. The quality of carbohydrate was defined by dietary GI, assessed using a validated FFQ via in-person interviews. A multivariable linear regression model with restricted cubic spline functions was used to evaluate the association of measured biomarkers with carbohydrate intake and dietary GI. RESULTS After adjustment for potential confounding factors such as cigarette smoking, BMI, and comorbidities, among others, we found that F2-IsoP-M concentrations were positively associated with both carbohydrate intake and dietary GI. Carbohydrate intake and dietary GI were weakly correlated (r = 0.12). When further mutually adjusted for the 2 factors, the positive association with F2-IsoP-M remained statistically significant for GI (P = 0.004) but not for carbohydrate intake (P = 0.50). Compared with those in the 10th percentile of dietary GI, fold increases (95% CI) in F2-IsoP-M concentrations for those in the 30th, 50th, 70th, and 90th percentiles were 1.03 (1.00, 1.07), 1.06 (1.01, 1.10), 1.09 (1.03, 1.14), and 1.13 (1.05, 1.21), respectively. Moreover, there appeared a threshold regarding the association between dietary GI and F2-IsoP-M concentrations, with the dose-effect slope of GI being 2.3 times greater when GI was ≥75 relative to GI <75. CONCLUSIONS This study provides evidence that the quality of dietary carbohydrate may be more important than the quantity of the intake with regard to systemic lipid peroxidation.
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Affiliation(s)
- Yu Jiang
- Division of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Yingya Zhao
- Division of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Ginger Milne
- Division of Clinical Pharmacology, Department of Medicine, Vanderbilt University Medical Center and Vanderbilt-Ingram Cancer Center, Nashville, TN, USA
| | - Qi Dai
- Division of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Qingxia Chen
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA
| | | | - Qing Lan
- Division of Cancer Epidemiology and Genetics, Occupational and Environmental Epidemiology Branch, National Cancer Institute, Bethesda, MD, USA
| | - Nathaniel Rothman
- Division of Cancer Epidemiology and Genetics, Occupational and Environmental Epidemiology Branch, National Cancer Institute, Bethesda, MD, USA
| | - Yu-Tang Gao
- Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Qiuyin Cai
- Division of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Xiao-Ou Shu
- Division of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Gong Yang
- Division of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, TN, USA
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27
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Abstract
PURPOSE OF REVIEW Carbohydrates are the main contributor to daily energy intake and, thus, might play an essential role in the development and treatment of obesity. This nonsystematic literature overview summarized current knowledge about the association between carbohydrate intake (quantity and quality) and weight management. RECENT FINDINGS There is scientific evidence for the association between the quality of carbohydrates and body weight or metabolic parameters (e.g. fasting glucose). Thus, dietary intake of high-quality carbohydrates should be preferred over food with a low carbohydrate quality. In contrast, heterogeneous data are available for the association between the amount of carbohydrate intake and anthropometric parameters (e.g. body weight, body fat). Regulation of dietary intake and body weight is complex. For instance, gene-diet interactions might play a role in carbohydrate intake and metabolism. SUMMARY There is evidence for the association between intake of high-quality carbohydrates and body weight. However, for the treatment of obesity, a negative energy balance is crucial. The success in weight loss was independent of the quantity and quality of carbohydrate intake. To sum up, recently published literature does not change the current opinion about carbohydrate intake and obesity.
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Affiliation(s)
- Sandra Bayer
- Institute for Nutritional Medicine, School of Medicine, University Hospital 'Klinikum rechts der Isar', Technical University of Munich, Munich, Germany
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28
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Nicholls J. Perspective: The Glycemic Index Falls Short as a Carbohydrate Food Quality Indicator to Improve Diet Quality. Front Nutr 2022; 9:896333. [PMID: 35529459 PMCID: PMC9067577 DOI: 10.3389/fnut.2022.896333] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2022] [Accepted: 03/29/2022] [Indexed: 11/13/2022] Open
Abstract
This perspective examines the utility of the glycemic index (GI) as a carbohydrate quality indicator to improve Dietary Guidelines for Americans (DGA) adherence and diet quality. Achieving affordable, high-quality dietary patterns can address multiple nutrition and health priorities. Carbohydrate-containing foods make important energy, macronutrient, micronutrient, phytochemical, and bioactive contributions to dietary patterns, thus improving carbohydrate food quality may improve diet quality. Following DGA guidance helps meet nutrient needs, achieve good health, and reduce risk for diet-related non-communicable diseases in healthy people, yet adherence by Americans is low. A simple indicator that identifies high-quality carbohydrate foods and improves food choice may improve DGA adherence, but there is no consensus on a definition. The GI is a measure of the ability of the available carbohydrate in a food to increase blood glucose. The GI is well established in research literature and popular resources, and some have called for including the GI on food labels and in food-based dietary guidelines. The GI has increased understanding about physiological responses to carbohydrate-containing foods, yet its role in food-based dietary guidance and diet quality is unresolved. A one-dimensional indicator like the GI runs the risk of being interpreted to mean foods are "good" or "bad," and it does not characterize the multiple contributions of carbohydrate-containing foods to diet quality, including nutrient density, a core concept in the DGA. New ways to define and communicate carbohydrate food quality shown to help improve adherence to high-quality dietary patterns such as described in the DGA would benefit public health.
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Majdi M, Imani H, Bazshahi E, Hosseini F, Djafarian K, Lesani A, Akbarzade Z, Shab-Bidar S. Habitual- and Meal-Specific Carbohydrate Quality Index and Their Relation to Metabolic Syndrome in a Sample of Iranian Adults. Front Nutr 2022; 9:763345. [PMID: 35433797 PMCID: PMC9011184 DOI: 10.3389/fnut.2022.763345] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2021] [Accepted: 02/07/2022] [Indexed: 12/16/2022] Open
Abstract
Aim Most studies on diet quality have focused on the habitual and overall intake of foods without considering intakes at specific eating occasions. This study aimed to assess the association between habitual- and meal-specific carbohydrate quality index (CQI) and metabolic syndrome (MetS) in Iranian adults. Methods In this cross-sectional study, data from 850 participants were analyzed. Dietary information was obtained from a 3-day nonconsecutive 24 h recall. CQI was calculated from three criteria: dietary fiber, glycemic index, and solid carbohydrate/total carbohydrate ratio. The association between CQI and MetS was assessed by logistic regression. Results The prevalences of MetS in the lowest and highest tertile of CQI were 30.1 and 33.7, respectively (P = 0.6). In habitual diet and all the three meals, we failed to find any significant association between tertiles of CQI and MetS either before or after adjustment for covariates. However, in the habitual meals [odds ratio (OR): 0.69, 95% CI: 0.47–0.96] and lunch meals (OR: 0.66; 95% CI: 0.47–0.94), the highest CQI in comparison to the lowest one, significantly decreased the low high-density lipoprotein (HDL). In addition, the trend of low-HDL with CQI in habitual meal and lunch meal was statistically significant. Conclusion The results of this study showed that CQI was not associated with MetS and its components. Further investigations into the mechanisms underlying the role of carbohydrate quality in developing metabolic disorders are warranted.
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Affiliation(s)
- Maryam Majdi
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran
| | - Hossein Imani
- Department of Clinical Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran
| | - Elham Bazshahi
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran
| | - Fatemeh Hosseini
- Department of Clinical Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran
| | - Kurosh Djafarian
- Department of Clinical Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran
| | - Azadeh Lesani
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran
| | - Zahra Akbarzade
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran
| | - Sakineh Shab-Bidar
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran
- *Correspondence: Sakineh Shab-Bidar
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Xavier de Melo V, Mezzomo TR, Aristides Dall'igna AL, de Araújo Marques Dengo V, Stangarlin-Fiori L, Madalozzo Schieferdecker ME, Rodrigues Ferreira SM. Does the nutritional composition and category of administered enteral nutrition affect the nutritional status of patients receiving home nutritional therapy? Clin Nutr ESPEN 2022; 49:270-277. [DOI: 10.1016/j.clnesp.2022.03.042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2021] [Revised: 03/10/2022] [Accepted: 03/29/2022] [Indexed: 10/18/2022]
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Borén J, Taskinen MR, Björnson E, Packard CJ. Metabolism of triglyceride-rich lipoproteins in health and dyslipidaemia. Nat Rev Cardiol 2022; 19:577-592. [PMID: 35318466 DOI: 10.1038/s41569-022-00676-y] [Citation(s) in RCA: 111] [Impact Index Per Article: 37.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 02/02/2022] [Indexed: 02/07/2023]
Abstract
Accumulating evidence points to the causal role of triglyceride-rich lipoproteins and their cholesterol-enriched remnants in atherogenesis. Genetic studies in particular have not only revealed a relationship between plasma triglyceride levels and the risk of atherosclerotic cardiovascular disease, but have also identified key proteins responsible for the regulation of triglyceride transport. Kinetic studies in humans using stable isotope tracers have been especially useful in delineating the function of these proteins and revealing the hitherto unappreciated complexity of triglyceride-rich lipoprotein metabolism. Given that triglyceride is an essential energy source for mammals, triglyceride transport is regulated by numerous mechanisms that balance availability with the energy demands of the body. Ongoing investigations are focused on determining the consequences of dysregulation as a result of either dietary imprudence or genetic variation that increases the risk of atherosclerosis and pancreatitis. The identification of molecular control mechanisms involved in triglyceride metabolism has laid the groundwork for a 'precision-medicine' approach to therapy. Novel pharmacological agents under development have specific molecular targets within a regulatory framework, and their deployment heralds a new era in lipid-lowering-mediated prevention of disease. In this Review, we outline what is known about the dysregulation of triglyceride transport in human hypertriglyceridaemia.
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Affiliation(s)
- Jan Borén
- Department of Molecular and Clinical Medicine, University of Gothenburg, Gothenburg, Sweden.
| | - Marja-Riitta Taskinen
- Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Elias Björnson
- Department of Molecular and Clinical Medicine, University of Gothenburg, Gothenburg, Sweden
| | - Chris J Packard
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK
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Oncina-Cánovas A, Vioque J, González-Palacios S, Martínez-González MÁ, Salas-Salvadó J, Corella D, Zomeño D, Martínez JA, Alonso-Gómez ÁM, Wärnberg J, Romaguera D, López-Miranda J, Estruch R, Bernal-Lopez RM, Lapetra J, Serra-Majem JL, Bueno-Cavanillas A, Tur JA, Martín-Sánchez V, Pintó X, Delgado-Rodríguez M, Matía-Martín P, Vidal J, Vázquez C, Daimiel L, Ros E, Toledo E, Babio N, Sorli JV, Schröder H, Zulet MA, Sorto-Sánchez C, Barón-López FJ, Compañ-Gabucio L, Morey M, García-Ríos A, Casas R, Gómez-Pérez AM, Santos-Lozano JM, Vázquez-Ruiz Z, Nishi SK, Asensio EM, Soldevila N, Abete I, Goicolea-Güemez L, Buil-Cosiales P, García-Gavilán JF, Canals E, Torres-Collado L, García-de-la-Hera M. Pro-vegetarian food patterns and cardiometabolic risk in the PREDIMED-Plus study: a cross-sectional baseline analysis. Eur J Nutr 2022; 61:357-372. [PMID: 34368892 PMCID: PMC8783853 DOI: 10.1007/s00394-021-02647-4] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2021] [Accepted: 07/19/2021] [Indexed: 12/18/2022]
Abstract
PURPOSE We explored the cross-sectional association between the adherence to three different provegetarian (PVG) food patterns defined as general (gPVG), healthful (hPVG) and unhealthful (uPVG), and the cardiometabolic risk in adults with metabolic syndrome (MetS) of the PREDIMED-Plus randomized intervention study. METHODS We performed a cross-sectional analysis of baseline data from 6439 participants of the PREDIMED-Plus randomized intervention study. The gPVG food pattern was built by positively scoring plant foods (vegetables/fruits/legumes/grains/potatoes/nuts/olive oil) and negatively scoring, animal foods (meat and meat products/animal fats/eggs/fish and seafood/dairy products). The hPVG and uPVG were generated from the gPVG by adding four new food groups (tea and coffee/fruit juices/sugar-sweetened beverages/sweets and desserts), splitting grains and potatoes and scoring them differently. Multivariable-adjusted robust linear regression using MM-type estimator was used to assess the association between PVG food patterns and the standardized Metabolic Syndrome score (MetS z-score), a composed index that has been previously used to ascertain the cardiometabolic risk, adjusting for potential confounders. RESULTS A higher adherence to the gPVG and hPVG was associated with lower cardiometabolic risk in multivariable models. The regression coefficients for 5th vs. 1st quintile were - 0.16 (95% CI: - 0.33 to 0.01) for gPVG (p trend: 0.015), and - 0.23 (95% CI: - 0.41 to - 0.05) for hPVG (p trend: 0.016). In contrast, a higher adherence to the uPVG was associated with higher cardiometabolic risk, 0.21 (95% CI: 0.04 to 0.38) (p trend: 0.019). CONCLUSION Higher adherence to gPVG and hPVG food patterns was generally associated with lower cardiovascular risk, whereas higher adherence to uPVG was associated to higher cardiovascular risk.
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Affiliation(s)
- Alejandro Oncina-Cánovas
- 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
- Nutritional Epidemiology Unit, University Miguel Hernandez, Alicante, 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 Hernández (ISABIAL-UMH), Alicante, Spain.
- Nutritional Epidemiology Unit, University Miguel Hernandez, Alicante, Spain.
- Dpto. Salud Pública, Facultad de Medicina, Hª de La Ciencia y Ginecología, Avda. Ramón y Cajal s/n, Sant Joan d'Alacant, 03550, Alicante, 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 Hernández (ISABIAL-UMH), Alicante, Spain
- Nutritional Epidemiology Unit, University Miguel Hernandez, Alicante, 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
- 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, 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
- Departament de Bioquímica I Biotecnologia, Universitat Rovira I Virgili, Unitat de Nutrició, Reus, Spain
- Nutrition Unit, University Hospital of Sant Joan de Reus, 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
| | - Dolores Zomeño
- Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La 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
| | - 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 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, Instituto de Investigación Biomédica de Málaga (IBIMA), University of Málaga, 29010, 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
- 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, 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, Institut D'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Rosa M Bernal-Lopez
- Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La 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
- 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 and Centro Hospitalario Universitario Insular Materno Infantil (CHUIMI), Canarian Health Service, Las Palmas de Gran Canaria, Spain
| | - Aurora Bueno-Cavanillas
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
- Department of Preventive Medicine and Public Health, University of 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 and Oxidative Stress, University of Balearic Islands, Palma de Mallorca, Spain
| | - Vicente Martín-Sánchez
- Department of Preventive Medicine, University of Valencia, Valencia, 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, Hospitalet de Llobregat, Barcelona, Spain
| | - Miguel Delgado-Rodríguez
- Department of Preventive Medicine, University of Valencia, Valencia, 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
- 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
- Nutritional Control of the Epigenome Group, 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
| | - Estefanía Toledo
- 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 and Public Health, IDISNA, University of Navarra, Pamplona, 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, Reus, Spain
- Nutrition Unit, University Hospital of Sant Joan de Reus, 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
| | - Helmut Schröder
- 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
| | - María Angeles 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, University of Navarra, Pamplona, Spain
| | - Carolina Sorto-Sánchez
- 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
| | - Francisco Javier 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, Instituto de Investigación Biomédica de Málaga (IBIMA), University of Málaga, 29010, Málaga, Spain
| | - Laura Compañ-Gabucio
- 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
- Nutritional Epidemiology Unit, University Miguel Hernandez, 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-Ríos
- 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
| | - Rosa 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, Institut D'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Ana María Gómez-Pérez
- Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La 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 Manuel Santos-Lozano
- 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
| | - Zenaida Vázquez-Ruiz
- 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 and Public Health, IDISNA, University of Navarra, Pamplona, Spain
| | - Stephanie K Nishi
- 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, Reus, Spain
- Nutrition Unit, University Hospital of Sant Joan de Reus, Reus, Spain
- Institut D'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
| | - Eva M Asensio
- 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
| | - Núria Soldevila
- 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
| | - Itziar Abete
- 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
| | - Leire Goicolea-Güemez
- 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
| | - Pilar Buil-Cosiales
- 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 and Public Health, IDISNA, University of Navarra, Pamplona, Spain
| | - Jesús F García-Gavilán
- 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, Reus, Spain
- Nutrition Unit, University Hospital of Sant Joan de Reus, Reus, Spain
- Institut D'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
| | - Erik Canals
- 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
| | - 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
- Nutritional Epidemiology Unit, University Miguel Hernandez, Alicante, Spain
| | - Manuela García-de-la-Hera
- 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
- Nutritional Epidemiology Unit, University Miguel Hernandez, Alicante, Spain
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Vanegas P, Zazpe I, Santiago S, Fernandez-Lazaro CI, de la O V, Martínez-González MÁ. Macronutrient quality index and cardiovascular disease risk in the Seguimiento Universidad de Navarra (SUN) cohort. Eur J Nutr 2022; 61:3517-3530. [PMID: 35597843 PMCID: PMC9464119 DOI: 10.1007/s00394-022-02901-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2021] [Accepted: 04/27/2022] [Indexed: 11/29/2022]
Abstract
PURPOSE To assess the association between a multi-dimensional Macronutrient Quality Index (MQI) and the risk of cardiovascular disease (CVD) in a Mediterranean cohort. METHODS Prospective analyses among 18,418 participants (mean age 36 years, 60.8% women) of the Seguimiento Universidad de Navarra (SUN) cohort. Dietary intake information was obtained through a validated semi-quantitative food-frequency questionnaire (FFQ). The MQI (expressing high-quality macronutrient intake) was calculated based on three previously reported quality indices: the Carbohydrate Quality Index (CQI), the Fat Quality Index (FQI), and the Healthy Plate Protein source Quality Index (HPPQI). Adherence to the Mediterranean diet (MedDiet) and Provegetarian Diet was evaluated using the Trichopoulou index and the score proposed by Martínez-González, respectively. CVD was defined as new-onset stroke, myocardial infarction, or CVD death. RESULTS After a median follow-up time of 14 years (211,744 person-years), 171 cases of CVD were identified. A significant inverse association was found between the MQI and CVD risk with multivariable-adjusted HR for the highest vs. the lowest quartile of 0.60 (95% IC, 0.38-0.96; Ptrend = 0.024). CONCLUSION In this Mediterranean cohort, we found a significant inverse relationship between a multidimensional MQI (expressing high-quality macronutrient intake) and a lower risk of CVD.
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Affiliation(s)
- Paola Vanegas
- School of Pharmacy and Nutrition, Department of Nutrition and Food Sciences and Physiology, University of Navarra, Campus Universitario, 31080 Pamplona, Spain
| | - Itziar Zazpe
- School of Pharmacy and Nutrition, Department of Nutrition and Food Sciences and Physiology, University of Navarra, Campus Universitario, 31080 Pamplona, Spain ,School of Medicine, Department of Preventive Medicine and Public Health, University of Navarra, Campus Universitario, 31080 Pamplona, Spain ,IdiSNA, Instituto de Investigación Sanitaria de Navarra, Pamplona, Navarra Spain ,CIBER Fisiopatología de la Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Susana Santiago
- School of Pharmacy and Nutrition, Department of Nutrition and Food Sciences and Physiology, University of Navarra, Campus Universitario, 31080 Pamplona, Spain ,IdiSNA, Instituto de Investigación Sanitaria de Navarra, Pamplona, Navarra Spain
| | - Cesar I. Fernandez-Lazaro
- School of Medicine, Department of Preventive Medicine and Public Health, University of Navarra, Campus Universitario, 31080 Pamplona, Spain ,IdiSNA, Instituto de Investigación Sanitaria de Navarra, Pamplona, Navarra Spain
| | - Víctor de la O
- School of Medicine, Department of Preventive Medicine and Public Health, University of Navarra, Campus Universitario, 31080 Pamplona, Spain ,IdiSNA, Instituto de Investigación Sanitaria de Navarra, Pamplona, Navarra Spain ,CIBER Fisiopatología de la Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Miguel Ángel Martínez-González
- School of Medicine, Department of Preventive Medicine and Public Health, University of Navarra, Campus Universitario, 31080, Pamplona, Spain. .,IdiSNA, Instituto de Investigación Sanitaria de Navarra, Pamplona, Navarra, 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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34
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Dos Santos EF, Xavier de Melo V, Ávila S, de Araújo Marques Dengo V, Dall'igna ALA, Dziedicz DD, Stangarlin-Fiori L, Schieferdecker MEM, Mary Rodrigues Ferreira S. Macronutrients and energy in home-prepared enteral tube feeding: Comparison between food composition table estimates, nutrition labels, and laboratory analysis. Nutr Clin Pract 2021; 37:896-906. [PMID: 34897785 DOI: 10.1002/ncp.10795] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
Abstract
BACKGROUND The effectiveness of home enteral nutrition depends on the supply and delivery of the prescribed nutrients. This study compared the macronutrient and energy values of home-prepared enteral tube feeding analyzed in the laboratory with the same information calculated from labels and food composition tables. METHODS A total of 107 enteral formulations were analyzed: 66 commercial enteral formulas (CEFs), 19 homemade enteral preparations, and 22 blended enteral preparations (BEPs). The values of macronutrients and energy and the ratio between the values found in the laboratory and the calculated values were all evaluated. The tolerance limit of acceptable variation was 20%. The results were subjected to chemometric methods using principal component analysis (PCA) and hierarchical cluster analysis (HCA). RESULTS In the three categories of the enteral formulations, the calculated values for protein and fat were higher than those obtained in the laboratory. The calculated values for energy were higher than those obtained in the laboratory for the BEPs and CEFs. The CEFs had the highest percentage within the limit of acceptable variation for carbohydrate and protein, whereas the BEPs presented the lowest values for fat and energy. In the exploratory analysis of data using PCA and HCA, it was possible to verify similarities and discrepancies between the enteral formulations analyzed in the laboratory with those calculated from the labels and food composition tables. CONCLUSION The enteral formulations showed differences between the values of macronutrients and energy analyzed in the laboratory and those calculated from labels and/or food composition tables.
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Affiliation(s)
- Emilaine Ferreira Dos Santos
- Postgraduate Program in Food and Nutrition, Department of Nutrition, Federal University of Paraná, Paraná, Curitiba, Brazil
| | - Vanessa Xavier de Melo
- Postgraduate Program in Food and Nutrition, Department of Nutrition, Federal University of Paraná, Paraná, Curitiba, Brazil
| | - Suelen Ávila
- Postgraduate Program in Food and Nutrition, Department of Nutrition, Federal University of Paraná, Paraná, Curitiba, Brazil
| | | | | | | | - Lize Stangarlin-Fiori
- Postgraduate Program in Food and Nutrition, Department of Nutrition, Federal University of Paraná, Paraná, Curitiba, Brazil
| | | | - Sila Mary Rodrigues Ferreira
- Postgraduate Program in Food and Nutrition, Department of Nutrition, Federal University of Paraná, Paraná, Curitiba, Brazil
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Kong NW, Ning H, Zhong VW, Paluch A, Wilkins JT, Lloyd-Jones D, Allen NB. Association between diet quality and incident cardiovascular disease stratified by body mass index. Am J Prev Cardiol 2021; 8:100298. [PMID: 34888539 PMCID: PMC8636768 DOI: 10.1016/j.ajpc.2021.100298] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2021] [Revised: 11/10/2021] [Accepted: 11/19/2021] [Indexed: 11/26/2022] Open
Abstract
Objective Diet quality is a significant contributor to cardiovascular disease (CVD) development given its substantial influence on important downstream CVD mediators such as weight. However, it is unclear if there are additional pathways between diet quality and incident CVD independent of weight. We sought to determine if higher diet quality was associated with lower CVD risk stratified by BMI categories. Methods Prospective cohort data from the Lifetime Risk Pooling Project (LRPP) was analyzed. Diet data from 6 US cohorts were harmonized. The alternative Healthy Eating Index-2010 (aHEI-2010) score was calculated for each participant. Within each cohort, participants were divided into aHEI-2010 quintiles. The primary outcome of interest was composite incident CVD event including coronary heart disease, stroke, heart failure, and CVD death. Cox regression analysis was performed separately for three BMI strata: 18.5–24.9, 25–29.9, and ≥ 30 kg/m2. Results A total of 30,219 participants were included. During a median follow-up of 16.2 years, there were a total of 7,021 CVD events. An inverse association between aHEI-2010 score and incident CVD was identified among participants who were normal weight (comparing highest quintile with lowest quintile: adjusted hazard ratio [95% confidence interval] 0.57 [0.50 – 0.66]) and among participants with overweight (0.69 [0.61 – 0.77]). aHEI-2010 score was not associated with CVD among participants with obesity (0.97 [0.84 – 1.13]). Conclusions Among adults in the United States, higher diet quality as measured by aHEI-2010 was significantly associated with lower risk of incident CVD among individuals with normal weight and overweight but not obesity.
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Affiliation(s)
- Nathan W Kong
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, 60611, USA
| | - Hongyan Ning
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, 60611, USA
| | - Victor W Zhong
- Department of Epidemiology and Biostatistics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Amanda Paluch
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, 60611, USA
| | - John T Wilkins
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, 60611, USA
| | - Donald Lloyd-Jones
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, 60611, USA
| | - Norrina B Allen
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, 60611, USA
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36
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Affiliation(s)
- Cheryl Carcel
- Neurological Program, The George Institute for Global Health, University of New South Wales, Sydney, Australia (C.C.)
- Sydney School of Public Health, Sydney Medical School, The University of Sydney, New South Wales, Australia (C.C.)
| | - Cheryl Bushnell
- Department of Neurology, Wake Forest School of Medicine, Winston Salem, NC (C.B.)
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37
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Fernandez-Lazaro CI, Toledo E, Buil-Cosiales P, Salas-Salvadó J, Corella D, Fitó M, 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, Delgado-Rodríguez M, Matía-Martín P, Vidal J, Ros E, Vázquez C, Daimiel L, SanJulián B, García-Gavilán JF, Sorlí JV, Castañer O, Zulet MÁ, Tojal-Sierra L, Pérez-Farinós N, Oncina-Canovas A, Moñino M, Garcia-Rios A, Sacanella E, Bernal-Lopez RM, Santos-Lozano JM, Vázquez-Ruiz Z, Muralidharan J, Ortega-Azorín C, Goday A, Razquin C, Goicolea-Güemez L, Ruiz-Canela M, Becerra-Tomás N, Schröder H, Martínez González MA. Factors associated with successful dietary changes in an energy-reduced Mediterranean diet intervention: a longitudinal analysis in the PREDIMED-Plus trial. Eur J Nutr 2021; 61:1457-1475. [PMID: 34846603 PMCID: PMC8921156 DOI: 10.1007/s00394-021-02697-8] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2021] [Accepted: 10/01/2021] [Indexed: 11/28/2022]
Abstract
Purpose Long-term nutrition trials may fail to respond to their original hypotheses if participants do not comply with the intended dietary intervention. We aimed to identify baseline factors associated with successful dietary changes towards an energy-reduced Mediterranean diet (MedDiet) in the PREDIMED-Plus randomized trial. Methods Longitudinal analysis of 2985 participants (Spanish overweight/obese older adults with metabolic syndrome) randomized to the active intervention arm of the PREDIMED-Plus trial. Dietary changes were assessed with a 17-item energy-reduced MedDiet questionnaire after 6 and 12 months of follow-up. Successful compliance was defined as dietary changes from baseline of ≥ 5 points for participants with baseline scores < 13 points or any increase if baseline score was ≥ 13 points. We conducted crude and adjusted multivariable logistic regression models to identify baseline factors related to compliance. Results Consistent factors independently associated with successful dietary change at both 6 and 12 months were high baseline perceived self-efficacy in modifying diet (OR6-month: 1.51, 95% CI 1.25–1.83; OR12-month: 1.66, 95% CI 1.37–2.01), higher baseline fiber intake (OR6-month: 1.62, 95% CI 1.07–2.46; OR12-month: 1.62, 95% CI 1.07–2.45), having > 3 chronic conditions (OR6-month: 0.65, 95% CI 0.53–0.79; OR12-month: 0.76, 95% CI 0.62–0.93), and suffering depression (OR6-month: 0.80, 95% CI 0.64–0.99; OR12-month: 0.71, 95% CI 0.57–0.88). Conclusion Our results suggested that recruitment of individuals with high perceived self-efficacy to dietary change, and those who initially follow diets relatively richer in fiber may lead to greater changes in nutritional recommendations. Participants with multiple chronic conditions, specifically depression, should receive specific tailored interventions. Trial registration ISRCTN registry 89898870, 24th July 2014 retrospectively registered http://www.isrctn.com/ISRCTN89898870. Supplementary Information The online version contains supplementary material available at 10.1007/s00394-021-02697-8.
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Affiliation(s)
- Cesar I Fernandez-Lazaro
- Department of Preventive Medicine and Public Health, NavarraUniversity of Navarra, IdiSNA, C/ Irunlarrea, 31008, Pamplona, Spain
| | - Estefanía Toledo
- Department of Preventive Medicine and Public Health, NavarraUniversity of Navarra, IdiSNA, C/ Irunlarrea, 31008, Pamplona, Spain.,Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
| | - Pilar Buil-Cosiales
- Department of Preventive Medicine and Public Health, NavarraUniversity of Navarra, IdiSNA, C/ Irunlarrea, 31008, Pamplona, Spain.,Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain.,Servicios de Atención Primaria, Navarra Regional Health Service (Osasunbidea), IdiSNA, Pamplona, 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 Biotecnologia, Unitat de Nutrició Humana, Reus, Spain.,Nutrition Unit, University Hospital of Sant Joan de Reus, 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
| | - Montserrat Fitó
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la 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
| | - 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.,Cardiometabolic Nutrition Group, 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.,Epi-Phaan Research Group, School of Health Sciences, Universidad de Málaga, Instituto de Investigación Biomédica de Málaga (IBIMA), 29071, 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 (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, 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, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clinic, 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.,Department of Endocrinology, Virgen de la Victoria Hospital, 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
| | - 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 and Centro Hospitalario Universitario Insular Materno Infantil (CHUIMI), Canarian Health Service, Las Palmas de Gran Canaria, Spain
| | - Aurora Bueno-Cavanillas
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain.,Department of Preventive Medicine and Public Health, University of 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 and Oxidative Stress, University of Balearic Islands-IUNICS and IDISBA, Palma de Mallorca, Spain
| | - Vicente Martín Sánchez
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, 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, Hospitalet de Llobregat,, Barcelona, Spain
| | - Miguel Delgado-Rodríguez
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, 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
- 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
| | - Emilio Ros
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la 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.,Lipid Clinic, Department of Endocrinology and Nutrition, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clínic, Barcelona, Spain
| | - Clotilde Vázquez
- 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, IMDEA Food, CEI UAM + CSIC, Madrid, Spain
| | - Beatriz SanJulián
- Department of Preventive Medicine and Public Health, NavarraUniversity of Navarra, IdiSNA, C/ Irunlarrea, 31008, Pamplona, Spain
| | - Jesús F García-Gavilán
- 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 Humana, Reus, Spain
| | - Jose V Sorlí
- 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
| | - Olga Castañer
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la 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
| | - M Ángeles Zulet
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain.,Cardiometabolic Nutrition Group, IMDEA Food, CEI UAM + CSIC, 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, Cardiovascular, Respiratory and Metabolic Area, Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain
| | - Napoleón Pérez-Farinós
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain.,Epi-Phaan Research Group, School of Health Sciences, Universidad de Málaga, Instituto de Investigación Biomédica de Málaga (IBIMA), 29071, Málaga, Spain
| | | | - Manuel Moñino
- 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 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
| | - Emilio Sacanella
- 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, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Rosa M Bernal-Lopez
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain.,Department of Endocrinology, Virgen de la Victoria Hospital, Instituto de Investigación Biomédica de Málaga (IBIMA), University of Málaga, 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.,Department of Family Medicine, Research Unit, Distrito Sanitario Atención Primaria Sevilla, Sevilla, Spain
| | - Zenaida Vázquez-Ruiz
- Department of Preventive Medicine and Public Health, NavarraUniversity of Navarra, IdiSNA, C/ Irunlarrea, 31008, Pamplona, Spain.,Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
| | - Jananee Muralidharan
- 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 Humana, Reus, Spain
| | - Carolina Ortega-Azorín
- 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
| | - Alberto Goday
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la 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
| | - Cristina Razquin
- Department of Preventive Medicine and Public Health, NavarraUniversity of Navarra, IdiSNA, C/ Irunlarrea, 31008, Pamplona, Spain.,Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
| | - Leire Goicolea-Güemez
- 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
| | - Miguel Ruiz-Canela
- Department of Preventive Medicine and Public Health, NavarraUniversity of Navarra, IdiSNA, C/ Irunlarrea, 31008, Pamplona, Spain.,Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
| | - Nerea Becerra-Tomás
- 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 Humana, Reus, Spain.,Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
| | - Helmut Schröder
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la 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
| | - Miguel A Martínez González
- Department of Preventive Medicine and Public Health, NavarraUniversity of Navarra, IdiSNA, C/ Irunlarrea, 31008, 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, USA.
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Effect of pecan nuts and extra-virgin olive oil on glycemic profile and nontraditional anthropometric indexes in patients with coronary artery disease: a randomized clinical trial. Eur J Clin Nutr 2021; 76:827-834. [PMID: 34811509 DOI: 10.1038/s41430-021-01045-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2021] [Revised: 10/21/2021] [Accepted: 10/27/2021] [Indexed: 11/09/2022]
Abstract
BACKGROUND/OBJECTIVES The influence of cardioprotective foods on nontraditional indexes related to dysglycemia and body fat distribution is unknown in individuals with coronary artery disease (CAD). This study aimed to evaluate the effect of a healthy diet supplemented with pecan nuts or extra-virgin olive oil on glycemic profile and adipose tissue dysfunction assessed by anthropometric indexes in patients with stable CAD. SUBJECTS/METHODS In a randomized, pragmatic, parallel clinical trial lasting 12 weeks, 204 individuals were allocated to three interventions: a healthy diet (control group [CG], n = 67), a healthy diet plus 30 g/day of pecan nuts (pecan nut group [PNG], n = 68), or a healthy diet plus 30 mL/day of extra-virgin olive oil (olive oil group [OOG], n = 69). Triglyceride-glucose (TyG) index (primary outcome) and other markers of glycemic profile were evaluated, and nontraditional anthropometric indexes as well. Diet quality was assessed according to the Alternate Healthy Eating Index (mAHEI). RESULTS After adjustment for baseline values, use of antidiabetic drugs and insulin, there were no differences in both glycemic and anthropometric profiles according to groups at the end of the study. PNG improved the quality of the diet in comparison to other groups (final mAHEI scores: CG: 19 ± 7.5; PNG: 26 ± 8; OOG: 18.9 ± 6; P < 0.001). CONCLUSIONS There was no difference regarding glycemic and anthropometric parameters according to interventions in patients with stable CAD. However, adding pecan nuts to a healthy diet may improve its quality. Further studies must be conducted considering dietary interventions on secondary cardiovascular prevention setting. CLINICAL TRIALS IDENTIFIER NUMBER NCT02202265. First Posted: July 2014; Last Update: September 2020.
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Galarregui C, Navas-Carretero S, González-Navarro CJ, Martínez JA, Zulet MA, Abete I. Both macronutrient food composition and fasting insulin resistance affect postprandial glycemic responses in senior subjects. Food Funct 2021; 12:6540-6548. [PMID: 34096954 DOI: 10.1039/d1fo00731a] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
INTRODUCTION Postprandial hyperglycemia is a risk factor for type 2 diabetes. Insulin resistance (IR) might affect metabolic responses in non-fasting states. Dietary intake and food composition influence postprandial glucose homeostasis. The aims of this study were to evaluate the effects of different test foods varying in the macronutrient composition on postprandial glycemic responses and whether these outcomes are conditioned by the basal glycemic status in senior subjects. METHODS In a randomized, controlled crossover design, thirty-four adults consumed a test food, a high protein product (n = 19) or a high carbohydrate (CHO) product (n = 15), using the oral glucose tolerance test (OGTT) as a reference. Blood glucose and insulin were measured at fasting and at 15, 30, 45, 60, 90, and 120 min after starting the food intake. For each type of food, the incremental area under the curve (iAUC) for glucose and insulin was calculated. IR was measured using the Homeostatic Model Assessment of IR (HOMA-IR). RESULTS Consumption of a high protein product significantly lowered the peak and Δ blood glucose concentrations compared to the high CHO product (p < 0.001). Concerning the insulin response, no significant differences between both foods were observed. Fasting glucose was positively correlated with the glucose iAUC only for the high protein product. Positive associations of both fasting insulin and HOMA-IR with the insulin iAUC for all the cases were observed. Linear regression models showed significant positive associations between the glucose iAUC and fasting glucose after adjusting for age and sex. Regarding the insulin iAUC, positive associations were found with fasting insulin and HOMA-IR. Regression models also evidenced that both food test consumptions were able to decrease the glucose and insulin iAUC values when compared with the OGTT product. CONCLUSION Our research found that not only is the nutritional composition of foods important, but also the baseline glycemic state of individuals when assessing glycemic index estimations and addressing precision nutritional strategies to prevent and treat IR-associated disturbances.
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Affiliation(s)
- 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.
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Aaseth J, Ellefsen S, Alehagen U, Sundfør TM, Alexander J. Diets and drugs for weight loss and health in obesity - An update. Biomed Pharmacother 2021; 140:111789. [PMID: 34082399 DOI: 10.1016/j.biopha.2021.111789] [Citation(s) in RCA: 56] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2021] [Revised: 05/06/2021] [Accepted: 05/25/2021] [Indexed: 01/13/2023] Open
Abstract
Numerous combinations of diets and pharmacological agents, including lifestyle changes, have been launched to treat obesity. There are still ambiguities regarding the efficacies of different approaches despite many clinical trials and the use of animal models to study physiological mechanisms in weight management and obesity comorbidities, Here, we present an update on promising diets and pharmacological aids. Literature published after the year 2005 was searched in PubMed, Medline and Google scholar. Among recommended diets are low-fat (LF) and low-carbohydrate (LC) diets, in addition to the Mediterranean diet and the intermittent fasting approach, all of which presumably being optimized by adequate contents of dietary fibers. A basic point for weight loss is to adopt a diet that creates a permanently negative and acceptable energy balance, and prolonged dietary adherence is a crucial factor. As for pharmacological aids, obese patients with type 2 diabetes or insulin resistance seem to benefit from LC diet combined with a GLP-1 agonist, e.g. semaglutide, which may improve glycemic control, stimulate satiety, and suppress appetite. The lipase inhibitor orlistat is still used to maintain a low-fat approach, which may be favorable e.g. in hypercholesterolemia. The bupropion-naltrexone-combination appears promising for interruption of the vicious cycle of addictive over-eating. Successful weight loss seems to improve almost all biomarkers of obesity comorbidities. Until more support for specific strategies is available, clinicians should recommend an adapted lifestyle, and when necessary, a drug combination tailored to individual needs and comorbidities. Different diets may change hormonal secretion, gut-brain signaling, and influence hunger, satiety and energy expenditure. Further research is needed to clarify mechanisms and how such knowledge can be used in weight management.
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Affiliation(s)
- Jan Aaseth
- Research Department, Innlandet Hospital, PO Box 104, N-2381 Brumunddal, Norway; Inland Norway University of Applied Sciences, Faculty of Health and Social Sciences, N-2624 Lillehammer, Norway.
| | - Stian Ellefsen
- Inland Norway University of Applied Sciences, Faculty of Health and Social Sciences, N-2624 Lillehammer, Norway
| | - Urban Alehagen
- Division of Cardiovascular Medicine, Department of Medical and Health Sciences, Linköping University, Se-581 85 Linköping, Sweden
| | - Tine M Sundfør
- Department of Endocrinology, Morbid Obesity, and Preventive Medicine, Oslo University Hospital, PO Box 4950 Nydalen, N-0424 Oslo, Norway
| | - Jan Alexander
- Norwegian Institute of Public Health, P.O. Box 222 Skøyen, N-0213 Oslo, Norway
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Nestel PJ, Sullivan DR, Mori TA. Dietary management of cardiovascular risk including type 2 diabetes. Curr Opin Endocrinol Diabetes Obes 2021; 28:134-141. [PMID: 33186195 DOI: 10.1097/med.0000000000000589] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
PURPOSE OF REVIEW Recent changes or confirmations linking patterns of eating and specific dietary interventions in the management of cardiovascular risk factors including associations with prevalent and incident type 2 diabetes. RECENT FINDINGS Recently published guidance for dietary management of cardiovascular risk and type 2 diabetes have mostly common features. Major findings include a trend to replace strict quantitative advice on nutrients with qualitative advice on food consumption with exceptions for diabetes, global advice to increase intake of plant foods, confirmation to substitute mono and polyunsaturated oils for saturated and trans fats, new advisory on supplemental omega-3 intake, less limitation on dairy foods and fermented dairy foods encouraged, reduced emphasis on specific cholesterol-rich foods allowing greater consumption of eggs except for people with diabetes, processed meat consumption limited allowing modest intake of lean red meat, distinguishing between 'healthy' and 'unhealthy' carbohydrates including sugars, and maintaining advice on healthy bodyweight, reducing salt intake and encouraging water as preferred beverage. SUMMARY The new guidance for healthier patterns of food consumption supported by evidence is more readily understood by health practitioners and translatable to consumers and patients.
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Affiliation(s)
| | - David R Sullivan
- Department of Chemical Pathology, Royal Prince Alfred Hospital, NSW Health Pathology, Camperdown
| | - Trevor A Mori
- Medical School, Faculty of Health and Medical Sciences, University of Western Australia, Perth, Australia
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Abstract
The role of carbohydrate in a healthy diet has been controversial. The confusion over carbohydrate has come from the long standing limitation of dietary recall studies as well as inability in many of these studies to delineate between the different types of carbohydrates. It is the aim of this paper, to understand and review the data on the role of carbohydrate as pertaining to weight, insulin resistance, diabetes, inflammation, lipids, as well as epidemiological data on long-term cardiovascular outcome and all-cause mortality. We have reviewed the latest epidemiological and intervention studies on fiber, whole grain, and refined carbohydrates on weight, diabetes, lipids as well as major adverse cardiac events that we deemed were scientifically rigorous. High intakes of dietary fiber and whole grains are associated with positive effects on metabolic health while diet high in sugar and refined carbohydrates have negative effects on cardiometabolic health. Consistent evidence indicates that low fat and low carbohydrate diets at comparable energy levels have similar effects on body weight. Large epidemiological studies show when carbohydrates are substituted for animal-derived fat or protein mortality increased while carbohydrate exchanged with plant based protein was associated with mortality reduction. Types of carbohydrate appear to be critical for mortality and cardiovascular events. Evidence shows that quality of the carbohydrate determine cardiometabolic health and cardiovascular events. Given that most people worldwide currently consume less than 20 g of dietary fiber per day with persistently high consumption of refined carbohydrates, current evidence emphasize the need for additional measures to increase the amount and the diversity of fiber intake for improvement of cardiometabolic and cardiovascular outcomes.
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Comparison of Indices of Carbohydrate Quality and Food Sources of Dietary Fiber on Longitudinal Changes in Waist Circumference in the Framingham Offspring Cohort. Nutrients 2021; 13:nu13030997. [PMID: 33808767 PMCID: PMC8003409 DOI: 10.3390/nu13030997] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2021] [Revised: 03/11/2021] [Accepted: 03/16/2021] [Indexed: 01/01/2023] Open
Abstract
The long-term impact of carbohydrate quality on abdominal weight gain is not fully understood. We aimed to examine the prospective relation of a carbohydrate quality index (CQI; defined by four criteria: dietary fiber, glycemic index, whole grain-to-total grain ratio, and solid-to-total carbohydrate ratio), total, cereal grain, vegetable, and fruit fiber, carbohydrate-to-total fiber ratio, and carbohydrate-to-cereal fiber ratio with changes in waist circumference (WC). Subjects were middle-aged to older, mostly white, participants in the Framingham Offspring cohort (n = 3101 subjects), with mean baseline age 54.9 ± 0.2 years (mean ± SE) and body mass index (BMI) 27.2 ± 0.1 kg/m2. Food frequency questionnaire (FFQ), health, and lifestyle data were collected approximately every four years over a median total follow-up of 18 years. Repeated measure mixed models were used to estimate adjusted mean change in WC per four-year interval across quartiles of carbohydrate variables. In the most adjusted model, a higher CQI was marginally associated with a smaller increase in WC (2.0 ± 0.1 vs. 2.4 ± 0.1 cm in highest vs. lowest quartile, p-trend = 0.04). Higher ratios of carbohydrate-to-fiber and carbohydrate-to-cereal fiber were associated with greater increases in WC per four-year interval (2.6 ± 0.1 vs. 2.0 ± 0.1 cm, p-trend < 0.001, and 2.5 ± 0.1 vs. 2.1 ± 0.1 cm in highest versus lowest categories, p-trend = 0.007, respectively); whereas higher intake of total fiber (1.8 ± 0.1 vs. 2.7 ± 0.1 cm, p-trend < 0.001), cereal fiber (2.0 ± 0.1 vs. 2.5 ± 0.1 cm, p-trend = 0.001), and fruit fiber (2.0 ± 0.1 vs. 2.7 ± 0.1 cm, p-trend < 0.001) were associated with smaller increases in WC compared to lower intakes. There was a significant interaction between total fiber and total carbohydrate (as % of total energy intake). After stratification, the association between fiber intake and change in WC was not maintained in the context of a high carbohydrate diet. Better carbohydrate quality, primarily higher fiber intake and lower carbohydrate-to-fiber ratios, may help attenuate increases in abdominal adiposity over time.
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Santiago S, Zazpe I, Fernandez-Lazaro CI, de la O V, Bes-Rastrollo M, Martínez-González MÁ. Macronutrient Quality and All-Cause Mortality in the SUN Cohort. Nutrients 2021; 13:972. [PMID: 33802782 PMCID: PMC8002396 DOI: 10.3390/nu13030972] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2021] [Revised: 03/12/2021] [Accepted: 03/15/2021] [Indexed: 11/24/2022] Open
Abstract
No previous study has assessed the relationship between overall macronutrient quality and all-cause mortality. We aimed to prospectively examine the association between a multidimensional macronutrient quality index (MQI) and all-cause mortality in the SUN (Seguimiento Universidad de Navarra) (University of Navarra Follow-Up) study, a Mediterranean cohort of middle-aged adults. Dietary intake information was obtained from a validated 136-item semi-quantitative food-frequency questionnaire. We calculated the MQI (categorized in quartiles) based on three quality indexes: the carbohydrate quality index (CQI), the fat quality index (FQI), and the healthy plate protein source quality index (HPPQI). Among 19,083 participants (mean age 38.4, 59.9% female), 440 deaths from all causes were observed during a median follow-up of 12.2 years (IQR, 8.3-14.9). No significant association was found between the MQI and mortality risk with multivariable-adjusted hazard ratio (HR) for the highest vs. the lowest quartile of 0.79 (95% CI, 0.59-1.06; Ptrend = 0.199). The CQI was the only component of the MQI associated with mortality showing a significant inverse relationship, with HR between extreme quartiles of 0.64 (95% CI, 0.45-0.90; Ptrend = 0.021). In this Mediterranean cohort, a new and multidimensional MQI defined a priori was not associated with all-cause mortality. Among its three sub-indexes, only the CQI showed a significant inverse relationship with the risk of all-cause mortality.
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Grants
- (RD 06/0045, CIBER-OBN, Grants PI10/02658, PI10/02293, PI13/00615, PI14/01668, PI14/01798, PI14/01764, PI17/01795, PI20/00564 and G03/140), Instituto de Salud Carlos III and European Regional Development Fund (FEDER)
- (45/2011, 122/2014, 41/2016), and the University of Navarra the Navarra Regional Government
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Affiliation(s)
- Susana Santiago
- Department of Nutrition and Food Sciences and Physiology, Campus Universitario, School of Pharmacy and Nutrition, University of Navarra, 31008 Pamplona, Spain; (S.S.); (I.Z.)
| | - Itziar Zazpe
- Department of Nutrition and Food Sciences and Physiology, Campus Universitario, School of Pharmacy and Nutrition, University of Navarra, 31008 Pamplona, Spain; (S.S.); (I.Z.)
| | - Cesar I. Fernandez-Lazaro
- Department of Preventive Medicine and Public Health, Campus Universitario, School of Medicine, University of Navarra, 31008 Pamplona, Spain; (C.I.F.-L.); (V.d.l.O.); (M.B.-R.)
| | - Víctor de la O
- Department of Preventive Medicine and Public Health, Campus Universitario, School of Medicine, University of Navarra, 31008 Pamplona, Spain; (C.I.F.-L.); (V.d.l.O.); (M.B.-R.)
| | - Maira Bes-Rastrollo
- Department of Preventive Medicine and Public Health, Campus Universitario, School of Medicine, University of Navarra, 31008 Pamplona, Spain; (C.I.F.-L.); (V.d.l.O.); (M.B.-R.)
| | - Miguel Ángel Martínez-González
- Department of Preventive Medicine and Public Health, Campus Universitario, School of Medicine, University of Navarra, 31008 Pamplona, Spain; (C.I.F.-L.); (V.d.l.O.); (M.B.-R.)
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Seal CJ, Courtin CM, Venema K, de Vries J. Health benefits of whole grain: effects on dietary carbohydrate quality, the gut microbiome, and consequences of processing. Compr Rev Food Sci Food Saf 2021; 20:2742-2768. [PMID: 33682356 DOI: 10.1111/1541-4337.12728] [Citation(s) in RCA: 61] [Impact Index Per Article: 15.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2020] [Revised: 01/26/2021] [Accepted: 01/26/2021] [Indexed: 02/06/2023]
Abstract
Grains are important sources of carbohydrates in global dietary patterns. The majority of these carbohydrates, especially in refined-grain products, are digestible. Most carbohydrate digestion takes place in the small intestine where monosaccharides (predominantly glucose) are absorbed, delivering energy to the body. However, a considerable part of the carbohydrates, especially in whole grains, is indigestible dietary fibers. These impact gut motility and transit and are useful substrates for the gut microbiota affecting its composition and quality. For the most part, the profile of digestible and indigestible carbohydrates and their complexity determine the nutritional quality of carbohydrates. Whole grains are more complex than refined grains and are promoted as part of a healthy and sustainable diet mainly because the contribution of indigestible carbohydrates, and their co-passenger nutrients, is significantly higher. Higher consumption of whole grain is recommended because it is associated with lower incidence of, and mortality from, CVD, type 2 diabetes, and some cancers. This may be due in part to effects on the gut microbiota. Although processing of cereals during milling and food manufacturing is necessary to make them edible, it also offers the opportunity to still further improve the nutritional quality of whole-grain flours and foods made from them. Changing the composition and availability of grain carbohydrates and phytochemicals during processing may positively affect the gut microbiota and improve health.
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Affiliation(s)
- Chris J Seal
- Human Nutrition Research Centre, Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, NE2 4HH, UK
| | - Christophe M Courtin
- Laboratory of Food Chemistry and Biochemistry and Leuven Food Science and Nutrition Research Centre (LFoRCe), KU Leuven, Kasteelpark Arenberg 20, B-3001, Leuven, Belgium
| | - Koen Venema
- Centre for Healthy Eating & Food Innovation, Maastricht University-Campus Venlo, St Jansweg 20, 5928 RC, Venlo, The Netherlands
| | - Jan de Vries
- Nutrition Solutions, Reuvekamp 26, 7213CE, Gorssel, The Netherlands
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Raben A, Vestentoft PS, Brand‐Miller J, Jalo E, Drummen M, Simpson L, Martinez JA, Handjieva‐Darlenska T, Stratton G, Huttunen‐Lenz M, Lam T, Sundvall J, Muirhead R, Poppitt S, Ritz C, Pietiläinen KH, Westerterp‐Plantenga M, Taylor MA, Navas‐Carretero S, Handjiev S, McNarry MA, Hansen S, Råman L, Brodie S, Silvestre MP, Adam TC, Macdonald IA, San‐Cristobal R, Boyadjieva N, Mackintosh KA, Schlicht W, Liu A, Larsen TM, Fogelholm M. The PREVIEW intervention study: Results from a 3-year randomized 2 x 2 factorial multinational trial investigating the role of protein, glycaemic index and physical activity for prevention of type 2 diabetes. Diabetes Obes Metab 2021; 23:324-337. [PMID: 33026154 PMCID: PMC8120810 DOI: 10.1111/dom.14219] [Citation(s) in RCA: 58] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/30/2020] [Revised: 09/16/2020] [Accepted: 10/02/2020] [Indexed: 12/22/2022]
Abstract
AIM To compare the impact of two long-term weight-maintenance diets, a high protein (HP) and low glycaemic index (GI) diet versus a moderate protein (MP) and moderate GI diet, combined with either high intensity (HI) or moderate intensity physical activity (PA), on the incidence of type 2 diabetes (T2D) after rapid weight loss. MATERIALS AND METHODS A 3-year multicentre randomized trial in eight countries using a 2 x 2 diet-by-PA factorial design was conducted. Eight-week weight reduction was followed by a 3-year randomized weight-maintenance phase. In total, 2326 adults (age 25-70 years, body mass index ≥ 25 kg/m2 ) with prediabetes were enrolled. The primary endpoint was 3-year incidence of T2D analysed by diet treatment. Secondary outcomes included glucose, insulin, HbA1c and body weight. RESULTS The total number of T2D cases was 62 and the cumulative incidence rate was 3.1%, with no significant differences between the two diets, PA or their combination. T2D incidence was similar across intervention centres, irrespective of attrition. Significantly fewer participants achieved normoglycaemia in the HP compared with the MP group (P < .0001). At 3 years, normoglycaemia was lowest in HP-HI (11.9%) compared with the other three groups (20.0%-21.0%, P < .05). There were no group differences in body weight change (-11% after 8-week weight reduction; -5% after 3-year weight maintenance) or in other secondary outcomes. CONCLUSIONS Three-year incidence of T2D was much lower than predicted and did not differ between diets, PA or their combination. Maintaining the target intakes of protein and GI over 3 years was difficult, but the overall protocol combining weight loss, healthy eating and PA was successful in markedly reducing the risk of T2D. This is an important clinically relevant outcome.
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Affiliation(s)
- Anne Raben
- Department of Nutrition, Exercise and Sports, Faculty of ScienceUniversity of CopenhagenFrederiksbergDenmark
| | - Pia Siig Vestentoft
- Department of Nutrition, Exercise and Sports, Faculty of ScienceUniversity of CopenhagenFrederiksbergDenmark
| | - Jennie Brand‐Miller
- School of Life and Environmental Sciences and Charles Perkins CentreThe University of SydneySydneyNew South WalesAustralia
| | - Elli Jalo
- Department of Food and NutritionUniversity of HelsinkiHelsinkiFinland
| | - Mathjis Drummen
- Department of Nutrition and Movement Sciences, NUTRIM, School of Nutrition and Translational Research in MetabolismMaastricht UniversityMaastrichtthe Netherlands
| | - Liz Simpson
- Division of Physiology, Pharmacology and Neuroscience, School of Life Sciences, Queen's Medical CentreMRC/ARUK Centre for Musculoskeletal Ageing Research, ARUK Centre for Sport, Exercise and Osteoarthritis, National Institute for Health Research (NIHR) Nottingham Biomedical Research CentreNottinghamUK
| | - J. Alfredo Martinez
- Centre for Nutrition ResearchUniversity of NavarraPamplonaSpain
- Centro de Investigacion Biomedica en Red Area de Fisiologia de la Obesidad y la Nutricion (CIBEROBN)MadridSpain
- IdisNA Instituto for Health ResearchPamplonaSpain
- Precision Nutrition and Cardiometabolic Health Program. IMDEA‐Food Institute (Madrid Institute for Advanced Studies), CEI UAM + CSICMadridSpain
| | | | - Gareth Stratton
- College of EngineeringApplied Sports, Technology, Exercise and Medicine (A‐STEM) Research CentreSwanseaUK
| | - Maija Huttunen‐Lenz
- Exercise and Health SciencesUniversity of StuttgartStuttgartGermany
- Institute of Nursing ScienceUniversity of Education Schwäbisch GmündSchwäbisch GmündGermany
| | - Tony Lam
- NetUnion sarlLausanneSwitzerland
| | - Jouko Sundvall
- Department of Government Services, Forensic Toxicology Unit, Biochemistry LaboratoryNational Institute for Health and WelfareHelsinkiFinland
| | - Roslyn Muirhead
- School of Life and Environmental Sciences and Charles Perkins CentreThe University of SydneySydneyNew South WalesAustralia
| | - Sally Poppitt
- Human Nutrition Unit, School of Biological Sciences, Department of MedicineUniversity of AucklandAucklandNew Zealand
| | - Christian Ritz
- Department of Nutrition, Exercise and Sports, Faculty of ScienceUniversity of CopenhagenFrederiksbergDenmark
| | - Kirsi H. Pietiläinen
- Obesity Research Unit, Research Program for Clinical and Molecular Metabolism, Faculty of MedicineUniversity of Helsinki and Obesity Centre, Endocrinology, Abdominal Center, Helsinki University Hospital and University of HelsinkiHelsinkiFinland
| | - Margriet Westerterp‐Plantenga
- Department of Nutrition and Movement Sciences, NUTRIM, School of Nutrition and Translational Research in MetabolismMaastricht UniversityMaastrichtthe Netherlands
| | - Moira A. Taylor
- Division of Physiology, Pharmacology and Neuroscience, School of Life Sciences, Queen's Medical CentreNational Institute for Health Research (NIHR) Nottingham Biomedical Research CentreNottinghamUK
| | - Santiago Navas‐Carretero
- Centre for Nutrition ResearchUniversity of NavarraPamplonaSpain
- Centro de Investigacion Biomedica en Red Area de Fisiologia de la Obesidad y la Nutricion (CIBEROBN)MadridSpain
- IdisNA Instituto for Health ResearchPamplonaSpain
| | - Svetoslav Handjiev
- Department of Pharmacology and ToxicologyMedical University of SofiaSofiaBulgaria
| | - Melitta A. McNarry
- College of EngineeringApplied Sports, Technology, Exercise and Medicine (A‐STEM) Research CentreSwanseaUK
| | - Sylvia Hansen
- Exercise and Health SciencesUniversity of StuttgartStuttgartGermany
| | - Laura Råman
- Department of Government Services, Forensic Toxicology Unit, Biochemistry LaboratoryNational Institute for Health and WelfareHelsinkiFinland
| | - Shannon Brodie
- School of Life and Environmental Sciences and Charles Perkins CentreThe University of SydneySydneyNew South WalesAustralia
| | - Marta P. Silvestre
- Human Nutrition Unit, School of Biological Sciences, Department of MedicineUniversity of AucklandAucklandNew Zealand
- CINTESIS ‐ Centro de Investigação em Tecnologias e Serviços de Saúde NOVA Medical SchoolNOVA University of LisbonLisbonPortugal
| | - Tanja C. Adam
- Department of Nutrition and Movement Sciences, NUTRIM, School of Nutrition and Translational Research in MetabolismMaastricht UniversityMaastrichtthe Netherlands
| | - Ian A. Macdonald
- Division of Physiology, Pharmacology and Neuroscience, School of Life Sciences, Queen's Medical CentreMRC/ARUK Centre for Musculoskeletal Ageing Research, ARUK Centre for Sport, Exercise and Osteoarthritis, National Institute for Health Research (NIHR) Nottingham Biomedical Research CentreNottinghamUK
| | - Rodrigo San‐Cristobal
- Centre for Nutrition ResearchUniversity of NavarraPamplonaSpain
- Precision Nutrition and Cardiometabolic Health Program. IMDEA‐Food Institute (Madrid Institute for Advanced Studies), CEI UAM + CSICMadridSpain
| | - Nadka Boyadjieva
- Department of Pharmacology and ToxicologyMedical University of SofiaSofiaBulgaria
| | - Kelly A. Mackintosh
- College of EngineeringApplied Sports, Technology, Exercise and Medicine (A‐STEM) Research CentreSwanseaUK
| | | | - Amy Liu
- Human Nutrition Unit, School of Biological Sciences, Department of MedicineUniversity of AucklandAucklandNew Zealand
| | - Thomas M. Larsen
- Department of Nutrition, Exercise and Sports, Faculty of ScienceUniversity of CopenhagenFrederiksbergDenmark
| | - Mikael Fogelholm
- Department of Food and NutritionUniversity of HelsinkiHelsinkiFinland
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Abstract
PURPOSE OF REVIEW We have focused on recent research relevant to effects of dietary patterns and major food groups on cardiovascular outcomes, taking into account guidelines and position statements from expert authorities, with an emphasis on important changes in recommendations, some of which remain controversial. RECENT FINDINGS Major findings include: refocusing on qualitative patterns of food consumption replacing quantitative prescriptive advice on nutrients; increasing intake of plant foods; substituting saturated fats with polyunsaturated and monounsaturated oils; reducing salt intake; regular consumption of fish with a focus on omega-3 enrichment; not restricting dairy foods, other than butter and cream, with encouragement of some fermented products; reducing cholesterol intake for those at increased cardiovascular risk and diabetes, allowing 7-eggs weekly; restricting processed meats and allowing moderate lean meat consumption; preference for fiber-rich complex carbohydrates and reduced sugar intake; maintaining healthy bodyweight; and although water is the preferred beverage, allowing moderate alcohol consumption to national guidelines and avoiding alcohol in specific cardiovascular disorders. SUMMARY The new approach that focuses on healthier patterns of food intake is more readily understood by health practitioners and translatable to consumers and patients.
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Affiliation(s)
| | | | - Trevor A Mori
- Medical School, University of Western Australia, Perth, Australia
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48
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Nestel PJ, Beilin LJ, Clifton PM, Watts GF, Mori TA. Practical Guidance for Food Consumption to Prevent Cardiovascular Disease. Heart Lung Circ 2020; 30:163-179. [PMID: 33158734 DOI: 10.1016/j.hlc.2020.08.022] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2020] [Revised: 08/28/2020] [Accepted: 08/28/2020] [Indexed: 02/07/2023]
Abstract
This dietary guidance, informed by best contemporary evidence, aims to assist medical practitioners and allied health professionals in advising patients for the primary and secondary prevention of cardiovascular disease (CVD). While differing in some details from other current guidelines, the core messages accord with those published in 2019 by the American College of Cardiology/American Heart Association and the European Society of Cardiology/European Atherosclerosis Society; the National Lipid Association in 2014 and the NH&MRC Australian Dietary Guidelines in 2013. These were assessed through the Appraisal of Guidelines for Research and Evaluation (AGREE II) and the levels of evidence and classes of a recommendation developed using the GRADE system. Recommendations with high levels of evidence include increased consumption of plant based foods comprising mainly complex, fibre enriched carbohydrates (wholegrains, fruits and vegetables) while limiting intake of refined starches; partial replacement of saturated fats with monounsaturated or polyunsaturated fats and oils; reduced salt intake; achievement and maintenance of healthy weight; and low-to-moderate consumption of alcohol. Additional guidance but with moderate levels of evidence includes increased consumption of fish (and fish oils where indicated); reduction in sugar-sweetened beverages and added sugars; avoidance of butter and cream especially in those at increased CVD risk but encouragement of yoghurt; allow moderate consumption of lean meat but limit intake of processed meats; and limit cholesterol-rich foods such as eggs and crustaceans for those at increased CVD risk. Guidance has been formulated qualitatively on food categories of commonly eaten foods while avoiding prescriptive quantitative measures that are less readily translatable. This approach accords with current guidelines such as the American College of Cardiology/American Heart Association 2019 guidelines and is understandable and readily implemented.
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Affiliation(s)
- Paul J Nestel
- Baker Heart and Diabetes Institute, Melbourne, Vic, Australia.
| | - Lawrence J Beilin
- Medical School, University of Western Australia, Perth, WA, Australia
| | - Peter M Clifton
- School of Pharmacy and Medical Sciences, University of South Australia, Adelaide, SA, Australia
| | - Gerald F Watts
- Medical School, University of Western Australia, Perth, WA, Australia
| | - Trevor A Mori
- Medical School, University of Western Australia, Perth, WA, Australia
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49
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Fernandez-Lazaro CI, Zazpe I, Santiago S, Toledo E, Barbería-Latasa M, Martínez-González MÁ. Association of carbohydrate quality and all-cause mortality in the SUN Project: A prospective cohort study. Clin Nutr 2020; 40:2364-2372. [PMID: 33190989 DOI: 10.1016/j.clnu.2020.10.029] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2020] [Revised: 08/23/2020] [Accepted: 10/17/2020] [Indexed: 01/20/2023]
Abstract
BACKGROUND & AIMS Emerging evidence supports shifting the focus from carbohydrate quantity to carbohydrate quality to obtain greater health benefits. We investigated the association of carbohydrate quality with all-cause mortality using a single, multidimensional carbohydrate quality index (CQI) designed to account for multiple characteristics of carbohydrate quality. METHODS A prospective study was conducted among 19,083 participants in the Seguimiento Universidad de Navarra (SUN) Project, a Mediterranean cohort of middle-aged university graduates. The CQI was based on four dimensions: high total dietary fiber intake, low glycemic index, high whole-grain carbohydrate: total grain carbohydrate ratio, and high solid carbohydrate: total carbohydrate ratio. RESULTS During 12.2 years of median follow-up, 440 deaths were identified. We found an inverse association between the CQI and all-cause mortality. The multivariable-adjusted hazard ratio (HR) for the highest vs. the lowest tertile of the CQI was 0.70 (95% CI, 0.53-0.93; Ptrend = 0.018). However, each individual dimension of the CQI was not independently associated with lower mortality risk, with HR (95% CI) between extreme tertiles as follows: 0.77 (0.52-1.14; Ptrend = 0.192) for high fiber intake; 0.81 (0.59-1.12; Ptrend = 0.211) for low glycemic index; 0.87 (0.69-1.11; Ptrend = 0.272) for high whole-grain carbohydrate: total-grain carbohydrate ratio; and 0.81 (0.61-1.07; Ptrend = 0.139) for high solid carbohydrate: total carbohydrate ratio. Our analyses remained similar after using repeated measurements of diet with updated nutritional exposures after a ten-year follow-up. CONCLUSIONS The CQI as a whole, but none of its individual dimensions, was associated with lower mortality. The CQI seems to comprehensively capture the combined effects of quality domains.
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Affiliation(s)
- Cesar I Fernandez-Lazaro
- University of Navarra, Department of Preventive Medicine and Public Health, School of Medicine, 31008, Pamplona, Spain; IdiSNA, Navarra Institute for Health Research, 31008, Pamplona, Spain
| | - Itziar Zazpe
- University of Navarra, Department of Preventive Medicine and Public Health, School of Medicine, 31008, Pamplona, Spain; IdiSNA, Navarra Institute for Health Research, 31008, Pamplona, Spain; University of Navarra, Department of Nutrition and Food Sciences and Physiology, School of Pharmacy and Nutrition, 31008, Pamplona, Spain; Centro de Investigación Biomédica en Red Área de Fisiología de la Obesidad y la Nutrición (CIBEROBN), 28029, Madrid, Spain
| | - Susana Santiago
- IdiSNA, Navarra Institute for Health Research, 31008, Pamplona, Spain; University of Navarra, Department of Nutrition and Food Sciences and Physiology, School of Pharmacy and Nutrition, 31008, Pamplona, Spain
| | - Estefanía Toledo
- University of Navarra, Department of Preventive Medicine and Public Health, School of Medicine, 31008, Pamplona, Spain; IdiSNA, Navarra Institute for Health Research, 31008, Pamplona, Spain; Centro de Investigación Biomédica en Red Área de Fisiología de la Obesidad y la Nutrición (CIBEROBN), 28029, Madrid, Spain
| | - María Barbería-Latasa
- University of Navarra, Department of Preventive Medicine and Public Health, School of Medicine, 31008, Pamplona, Spain
| | - Miguel Ángel Martínez-González
- University of Navarra, Department of Preventive Medicine and Public Health, School of Medicine, 31008, Pamplona, Spain; IdiSNA, Navarra Institute for Health Research, 31008, Pamplona, Spain; Centro de Investigación Biomédica en Red Área de Fisiología de la Obesidad y la Nutrición (CIBEROBN), 28029, Madrid, Spain; Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA.
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Dietary Quality Changes According to the Preceding Maximum Weight: A Longitudinal Analysis in the PREDIMED-Plus Randomized Trial. Nutrients 2020; 12:nu12103023. [PMID: 33023132 PMCID: PMC7600377 DOI: 10.3390/nu12103023] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2020] [Revised: 09/27/2020] [Accepted: 09/30/2020] [Indexed: 02/07/2023] Open
Abstract
One-year dietary quality change according to the preceding maximum weight in a lifestyle intervention program (PREDIMED-Plus trial, 55–75-year-old overweight or obese adults; n = 5695) was assessed. A validated food frequency questionnaire was used to assess dietary intake. A total of 3 groups were made according to the difference between baseline measured weight and lifetime maximum reported weight: (a) participants entering the study at their maximum weight, (b) moderate weight loss maintainers (WLM), and (c) large WLM. Data were analyzed by General Linear Model. All participants improved average lifestyle. Participants entering the study at their maximum weight were the most susceptible to improve significantly their dietary quality, assessed by adherence to Mediterranean diet, DII and both healthful and unhealthful provegetarian patterns. People at maximum weight are the most benefitted in the short term by a weight management program. Long term weight loss efforts may also reduce the effect of a weight management program.
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