51
|
González-Palacios S, Oncina-Cánovas A, García-de-la-Hera M, Martínez-González MÁ, Salas-Salvadó J, Corella D, Schröder H, Martínez JA, Alonso-Gómez ÁM, Wärnberg J, Romaguera D, López-Miranda J, Estruch R, Tinahones FJ, Lapetra J, Serra-Majem JL, Cano-Ibañez N, Tur JA, Martín-Sánchez V, Pintó X, Delgado-Rodríguez M, Matía-Martín P, Vidal J, Vázquez C, Daimiel L, Ros E, Bes-Rastrollo M, Atzeni A, Sorli JV, Zomeño MD, Peña-Orihuela PJ, Compañ-Gabucio LM, Barón-López FJ, Zulet MÁ, Konieczna J, Casas RM, Garrido-Garrido EM, Tojal-Sierra L, Gomez-Perez AM, Ruiz-Canela M, Palau A, Saiz C, Pérez-Vega KA, Garcia-Rios A, Torres-Collado L, Basterra-Gortari J, Garcidueñas-Fimbres TE, Malcampo M, Vioque J. Increased ultra-processed food consumption is associated with worsening of cardiometabolic risk factors in adults with metabolic syndrome: Longitudinal analysis from a randomized trial. Atherosclerosis 2023; 377:12-23. [PMID: 37343432 DOI: 10.1016/j.atherosclerosis.2023.05.022] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Revised: 05/31/2023] [Accepted: 05/31/2023] [Indexed: 06/23/2023]
Abstract
BACKGROUND AND AIMS The association between changes in ultra-processed food (UPF) consumption and cardiometabolic risk (CMR) factors remains understudied. We evaluated the association between changes in UPF consumption over 12 months of follow-up and changes in CMR factors in adults diagnosed with metabolic syndrome. METHODS We analysed data from 5373 adults (aged 55-75 years) participating in the PREDIMED-Plus trial. Diet was evaluated at baseline, 6- and 12-month visits using a validated food frequency questionnaire, and UPF consumption (in grams/day and percentage of total daily dietary intake in grams) was categorized based on NOVA classification. We used mixed-effects linear models with repeated measurements at baseline, 6 and 12 months of follow-up to assess the associations between changes in UPF consumption and changes in CMR factors adjusting for sociodemographic and lifestyles variables. RESULTS In multivariable-adjusted models, when comparing the highest versus the lowest quartile of UPF consumption, positive associations were found for several CMR factors: weight (kg, β = 1.09; 95% confidence interval 0.91 to 1.26); BMI (kg/m2, β = 0.39; 0.33 to 0.46); waist circumference (cm, β = 1.03; 0.81 to 1.26); diastolic blood pressure (mm Hg, β = 0.67; 0.29 to 1.06); fasting blood glucose (mg/dl, β = 1.66; 0.61 to 2.70); HbA1c (%, β = 0.04; 0.01 to 0.07); triglycerides (mg/dl, β = 6.79; 3.66 to 9.91) and triglycerides and glucose index (β = 0.06; 0.04 to 0.08). CONCLUSIONS Higher UPF consumption was associated with adverse evolution in objectively measured CMR factors after 12 months of follow-up in adults with metabolic syndrome. Further research is needed to explore whether these changes persist for longer periods.
Collapse
Affiliation(s)
- Sandra González-Palacios
- Unidad de Epidemiología de la Nutrición, Instituto de Investigación Sanitaria y Biomédica de Alicante. Universidad Miguel Hernández, (ISABIAL-UMH), Alicante, Spain; CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain
| | - Alejandro Oncina-Cánovas
- Unidad de Epidemiología de la Nutrición, Instituto de Investigación Sanitaria y Biomédica de Alicante. Universidad Miguel Hernández, (ISABIAL-UMH), Alicante, Spain; CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain
| | - Manuela García-de-la-Hera
- Unidad de Epidemiología de la Nutrición, Instituto de Investigación Sanitaria y Biomédica de Alicante. Universidad Miguel Hernández, (ISABIAL-UMH), Alicante, Spain; CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain
| | - Miguel Ángel Martínez-González
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; University of Navarra, Department of Preventive Medicine and Public Health, IDISNA, Pamplona, Spain; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Jordi Salas-Salvadó
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició, Reus, Spain; Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
| | - Dolores Corella
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Helmut Schröder
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain; Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d'Investigació Médica (IMIM), Barcelona, Spain
| | - J Alfredo Martínez
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, University of Navarra, Pamplona, Spain; Precision Nutrition and Cardiometabolic Health Program. IMDEA Food, CEI UAM + CSIC, Madrid, Spain
| | - Ángel M Alonso-Gómez
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Bioaraba Health Research Institute, Cardiovascular, Respiratory and Metabolic Area; Osakidetza Basque Health Service, Araba University Hospital; University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain
| | - Julia Wärnberg
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; EpiPHAAN research Group, School of Health Sciences, University of Málaga-Instituto de Investigación Biomédica en Málaga (IBIMA), Málaga, Spain
| | - Dora Romaguera
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Research Group on Nutritional Epidemiology & Cardiovascular Physiopathology (NUTRECOR), Health Research Institute of the Balearic Islands (IdISBa), University Hospital Son Espases (HUSE), Palma de Mallorca, Spain
| | - José López-Miranda
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, Cordoba, Spain
| | - Ramon Estruch
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Department of Internal Medicine, Hospital Clinic, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Institut de Recerca en Nutrició i Seguretata Alimentaria (INSA-UB). University of Barcelona, Barcelona, Spain
| | - Francisco J Tinahones
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Virgen de la Victoria Hospital, Department of Endocrinology, Instituto de Investigación Biomédica de Málaga (IBIMA). University of Málaga, Málaga, Spain
| | - José Lapetra
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Department of Family Medicine, Research Unit, Distrito Sanitario Atención Primaria Sevilla, Sevilla, Spain
| | - J Luís Serra-Majem
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Research Institute of Biomedical and Health Sciences (IUIBS), University of Las Palmas de Gran Canaria & Centro Hospitalario Universitario Insular Materno Infantil (CHUIMI), Canarian Health Service, Las Palmas de Gran Canaria, Spain
| | - Naomi Cano-Ibañez
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain; Department of Preventive Medicine and Public Health, University of Granada, Granada, Spain; Instituto de Investigación Biosanitaria de Granada (ibs.GRANADA), Granada, Spain
| | - Josep A Tur
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands, Palma de Mallorca, Spain
| | - Vicente Martín-Sánchez
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain; Institute of Biomedicine (IBIOMED), University of León, León, Spain
| | - Xavier Pintó
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Lipids and Vascular Risk Unit, Internal Medicine, Hospital Universitario de Bellvitge-IDIBELL, Hospitalet de Llobregat, Barcelona, Spain
| | | | - Pilar Matía-Martín
- Department of Endocrinology and Nutrition, Instituto de Investigación Sanitaria Hospital Clínico San Carlos (IdISSC), Madrid, Spain
| | - Josep Vidal
- CIBER Diabetes y Enfermedades Metabólicas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Department of Endocrinology, Institut d' Investigacions Biomédiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Clotilde Vázquez
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Department of Endocrinology and Nutrition, Hospital Fundación Jimenez Díaz. Instituto de Investigaciones Biomédicas IISFJD. University Autonoma, Madrid, Spain
| | - Lidia Daimiel
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Nutritional Control of the Epigenome Group, Precision Nutrition and Obesity Program. IMDEA Food, CEI UAM + CSIC, Madrid, Spain; Departamento de Ciencias Farmacéuticas y de la Salud, Faculty de Farmacia, Universidad San Pablo-CEU, CEU Universities, 28660, Boadilla del Monte, Spain
| | - Emili Ros
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Lipid Clinic, Department of Endocrinology and Nutrition, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clínic, Barcelona, Spain
| | - Maira Bes-Rastrollo
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; University of Navarra, Department of Preventive Medicine and Public Health, IDISNA, Pamplona, Spain
| | - Alessandro Atzeni
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició, Reus, Spain; Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
| | - Jose V Sorli
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - M Dolors Zomeño
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d'Investigació Médica (IMIM), Barcelona, Spain; Blanquerna-Ramon Llull University, Barcelona, Spain
| | - Patricia J Peña-Orihuela
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, Cordoba, Spain
| | - Laura M Compañ-Gabucio
- Unidad de Epidemiología de la Nutrición, Instituto de Investigación Sanitaria y Biomédica de Alicante. Universidad Miguel Hernández, (ISABIAL-UMH), Alicante, Spain; CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain
| | - Francisco J Barón-López
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; EpiPHAAN research Group, School of Health Sciences, University of Málaga-Instituto de Investigación Biomédica en Málaga (IBIMA), Málaga, Spain
| | - María Ángeles Zulet
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, University of Navarra, Pamplona, Spain
| | - Jadwiga Konieczna
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Research Group on Nutritional Epidemiology & Cardiovascular Physiopathology (NUTRECOR), Health Research Institute of the Balearic Islands (IdISBa), University Hospital Son Espases (HUSE), Palma de Mallorca, Spain
| | - Rosa M Casas
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Department of Internal Medicine, Hospital Clinic, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Institut de Recerca en Nutrició i Seguretata Alimentaria (INSA-UB). University of Barcelona, Barcelona, Spain
| | | | - Lucas Tojal-Sierra
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Bioaraba Health Research Institute, Cardiovascular, Respiratory and Metabolic Area; Osakidetza Basque Health Service, Araba University Hospital; University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain
| | - Ana M Gomez-Perez
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Virgen de la Victoria Hospital, Department of Endocrinology, Instituto de Investigación Biomédica de Málaga (IBIMA). University of Málaga, Málaga, Spain
| | - Miguel Ruiz-Canela
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; University of Navarra, Department of Preventive Medicine and Public Health, IDISNA, Pamplona, Spain
| | - Antoni Palau
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició, Reus, Spain; Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain; Centre d'Assistència Primària Marià Fortuny, ABS Reus V. Salut Sant Joan de Reus, Reus, Spain
| | - Carmen Saiz
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Karla A Pérez-Vega
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d'Investigació Médica (IMIM), Barcelona, Spain
| | - Antonio Garcia-Rios
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, Cordoba, Spain
| | - Laura Torres-Collado
- Unidad de Epidemiología de la Nutrición, Instituto de Investigación Sanitaria y Biomédica de Alicante. Universidad Miguel Hernández, (ISABIAL-UMH), Alicante, Spain; CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain
| | - Javier Basterra-Gortari
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; University of Navarra, Department of Preventive Medicine and Public Health, IDISNA, Pamplona, Spain; Servicio de Endocrinología, Hospital Universitario de Navarra, Servicio Navarro de Salud-Osasunbidea, Pamplona, Spain
| | - Tany E Garcidueñas-Fimbres
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició, Reus, Spain; Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
| | - Mireia Malcampo
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d'Investigació Médica (IMIM), Barcelona, Spain
| | - Jesús Vioque
- Unidad de Epidemiología de la Nutrición, Instituto de Investigación Sanitaria y Biomédica de Alicante. Universidad Miguel Hernández, (ISABIAL-UMH), Alicante, Spain; CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain.
| |
Collapse
|
52
|
Dunford EK, Miles DR, Popkin B. Food Additives in Ultra-Processed Packaged Foods: An Examination of US Household Grocery Store Purchases. J Acad Nutr Diet 2023; 123:889-901. [PMID: 36931919 PMCID: PMC10200736 DOI: 10.1016/j.jand.2022.11.007] [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: 04/12/2022] [Revised: 09/18/2022] [Accepted: 11/18/2022] [Indexed: 02/04/2023]
Abstract
BACKGROUND Food additives have been used mainly in the past century to perform specific functions in foods. Some types of food additives have been linked to adverse health outcomes, yet there is little research examining food additives in the US food supply. OBJECTIVE To examine the proportion of products purchased by US households containing four common technical food additives using time-specific food composition data and examine whether purchases have changed over time. PARTICIPANTS/SETTING Nielsen Homescan Consumer Panels, 2001 and 2019. MAIN OUTCOME MEASURES The proportion of packaged food products containing common types of food additives purchased by US households was determined overall and by food category. STATISTICAL ANALYSIS PERFORMED Differences were examined using Student t test; P value < 0.001 was considered significant. RESULTS Between 2001 and 2019, the proportion of food products purchased by US households that contained additives increased from 49.6% to 59.5% (P < 0.001). The proportion of carbonated soft drinks purchased containing flavors decreased, with a subsequent increase in purchases containing nonnutritive sweeteners. Baby foods showed a 20% increase in the proportion of purchases containing additives and >15% increase in the proportion of purchases containing three or more additives. CONCLUSIONS There is convincing evidence that US household purchases of common types of technical food additives are increasing. Despite some positive changes such as a decrease in the use of added flavors in carbonated soft drinks, across most food categories an increase in purchases of all types of products containing additives was observed. In particular the finding that purchases of baby food products containing additives have increased substantially is crucial in informing future research in this area and warrants further investigation.
Collapse
Affiliation(s)
- Elizabeth K Dunford
- Food Policy Division, The George Institute for Global Health, University of New South Wales, Sydney, New South Wales, Australia; Department of Nutrition, Gillings Global School of Public Health, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.
| | - Donna R Miles
- Carolina Population Center, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina; Department of Nutrition, Gillings Global School of Public Health, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Barry Popkin
- Carolina Population Center, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina; Department of Nutrition, Gillings Global School of Public Health, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| |
Collapse
|
53
|
Meyer A, Dong C, Casagrande C, Chan SSM, Huybrechts I, Nicolas G, Rauber F, Levy RB, Millett C, Oldenburg B, Weiderpass E, Heath AK, Tong TYN, Tjønneland A, Kyrø C, Kaaks R, Katzke VA, Bergman MM, Palli D, Masala G, Tumino R, Sacerdote C, Colorado-Yohar SM, Sánchez MJ, Grip O, Lindgren S, Luben R, Gunter MJ, Mahamat-Saleh Y, Boutron-Ruault MC, Carbonnel F. Food Processing and Risk of Crohn's Disease and Ulcerative Colitis: A European Prospective Cohort Study. Clin Gastroenterol Hepatol 2023; 21:1607-1616.e6. [PMID: 36243353 DOI: 10.1016/j.cgh.2022.09.031] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Revised: 09/10/2022] [Accepted: 09/29/2022] [Indexed: 02/07/2023]
Abstract
BACKGROUND & AIMS Industrial foods have been associated with increased risks of several chronic conditions. We investigated the relationship between the degree of food processing and risks of Crohn's disease (CD) and ulcerative colitis (UC) in the European Prospective Investigation into Cancer and Nutrition cohort. METHODS Analyses included 413,590 participants (68.6% women; mean baseline age, 51.7 y) from 8 European countries. Dietary data were collected at baseline from validated country-specific dietary questionnaires. Associations between proportions of unprocessed/minimally processed and ultraprocessed food intake and CD and UC risks were estimated using Cox models to obtain hazard ratios (HRs) and 95% CIs. Models were stratified by center, age, and sex, and adjusted for smoking status, body mass index, physical activity, energy intake, educational level, and alcohol consumption. RESULTS During a mean follow-up period of 13.2 years, 179 incident cases of CD and 431 incident cases of UC were identified. The risk of CD was lower in people consuming high proportions of unprocessed/minimally processed foods (adjusted HR for the highest vs lowest quartile: 0.57; 95% CI, 0.35-0.93; P trend < .01), particularly fruits and vegetables (adjusted HRs, 0.54; 95% CI, 0.34-0.87 and 0.55; 95% CI, 0.34-0.91, respectively). There was no association between unprocessed/minimally processed food intake and the risk of UC. No association was detected between ultraprocessed food consumption and CD or UC risks. CONCLUSIONS In the European Prospective Investigation into Cancer and Nutrition cohort, consumption of unprocessed/minimally processed foods was associated with a lower risk of CD. No association between UC risk and food processing was found.
Collapse
Affiliation(s)
- Antoine Meyer
- INSERM, Centre for Research in Epidemiology and Population Health, Institut Gustave Roussy, Université Paris Saclay, Villejuif, France; Department of Gastroenterology, University Hospital of Bicêtre, Assistance Publique-Hôpitaux de Paris, Université Paris-Saclay, Le Kremlin Bicêtre, France
| | - Catherine Dong
- INSERM, Centre for Research in Epidemiology and Population Health, Institut Gustave Roussy, Université Paris Saclay, Villejuif, France; Department of Gastroenterology, University Hospital of Bicêtre, Assistance Publique-Hôpitaux de Paris, Université Paris-Saclay, Le Kremlin Bicêtre, France
| | - Corinne Casagrande
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
| | - Simon S M Chan
- Norwich Medical School, Department of Medicine, University of East Anglia, Norwich, United Kingdom; Department of Gastroenterology, Norfolk and Norwich University Hospital National Health Service Trust, Norwich, United Kingdom
| | - Inge Huybrechts
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
| | - Geneviève Nicolas
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
| | - Fernanda Rauber
- Department of Preventive Medicine, Center for Epidemiological Research in Nutrition and Health, University of São Paulo, São Paulo, Brazil
| | - Renata Bertazzi Levy
- Department of Preventive Medicine, Center for Epidemiological Research in Nutrition and Health, University of São Paulo, São Paulo, Brazil
| | - Christopher Millett
- Public Health Policy Evaluation Unit, School of Public Health, Imperial College London, London, United Kingdom; National School of Public Health, Public Health Research Centre, NOVA University of Lisbon and Comprehensive Health Research Center, Lisbon, Portugal
| | - Bas Oldenburg
- Department of Gastroenterology and Hepatology, University Medical Centre, Utrecht, the Netherlands
| | - Elisabete Weiderpass
- International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Alicia K Heath
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
| | - Tammy Y N Tong
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Anne Tjønneland
- Danish Cancer Society Research Center, Copenhagen, Denmark; Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Cecilie Kyrø
- Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Rudolf Kaaks
- Division of Cancer Epidemiology, German Cancer Research Center, Heidelberg, Germany
| | - Verena A Katzke
- Division of Cancer Epidemiology, German Cancer Research Center, Heidelberg, Germany
| | | | - Domenico Palli
- Molecular and Nutritional Epidemiology Unit, Cancer Research and Prevention Institute-Istituto per lo Studio e la Prevenzione Oncologia, Florence, Italy
| | - Giovanna Masala
- Molecular and Nutritional Epidemiology Unit, Cancer Research and Prevention Institute-Istituto per lo Studio e la Prevenzione Oncologia, Florence, Italy
| | - Rosario Tumino
- Cancer Registry and Histopathology Department, Azienda Sanitaria Provinciale, Ragusa, Italy
| | - Carlotta Sacerdote
- Unit of Cancer Epidemiology, Città della Salute e della Scienza University Hospital, Turin, Italy
| | - Sandra M Colorado-Yohar
- Department of Epidemiology, Murcia Regional Health Council, Instituto Murciano de Investigación Biosanitaria-Arrixaca, Murcia, Spain; Consorcio de Investigación Biomédica en Red Epidemiologia and Salud Pública, Madrid, Spain; National School of Public Health, Research Group on Demography and Health, University of Antioquia, Medellín, Colombia
| | - Maria-Jose Sánchez
- Consorcio de Investigación Biomédica en Red Epidemiologia and Salud Pública, Madrid, Spain; Escuela Andaluza de Salud Pública, Granada, Spain; Instituto de Investigación Biosanitaria, Granada, Spain; Department of Preventive Medicine and Public Health, University of Granada, Granada, Spain
| | - Olof Grip
- Department of Gastroenterology and Hepatology, University Hospital Malmö, Malmö, Sweden
| | - Stefan Lindgren
- Department of Gastroenterology and Hepatology, University Hospital Malmö, Malmö, Sweden
| | - Robert Luben
- Medical Research Council Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom; Institute of Ophthalmology, University College London, London, United Kingdom
| | - Marc J Gunter
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
| | - Yahya Mahamat-Saleh
- INSERM, Centre for Research in Epidemiology and Population Health, Institut Gustave Roussy, Université Paris Saclay, Villejuif, France
| | - Marie-Christine Boutron-Ruault
- INSERM, Centre for Research in Epidemiology and Population Health, Institut Gustave Roussy, Université Paris Saclay, Villejuif, France
| | - Franck Carbonnel
- INSERM, Centre for Research in Epidemiology and Population Health, Institut Gustave Roussy, Université Paris Saclay, Villejuif, France; Department of Gastroenterology, University Hospital of Bicêtre, Assistance Publique-Hôpitaux de Paris, Université Paris-Saclay, Le Kremlin Bicêtre, France.
| |
Collapse
|
54
|
Mambrini SP, Menichetti F, Ravella S, Pellizzari M, De Amicis R, Foppiani A, Battezzati A, Bertoli S, Leone A. Ultra-Processed Food Consumption and Incidence of Obesity and Cardiometabolic Risk Factors in Adults: A Systematic Review of Prospective Studies. Nutrients 2023; 15:nu15112583. [PMID: 37299546 DOI: 10.3390/nu15112583] [Citation(s) in RCA: 24] [Impact Index Per Article: 24.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2023] [Revised: 05/26/2023] [Accepted: 05/29/2023] [Indexed: 06/12/2023] Open
Abstract
Ultra-processed foods (UPF) are energy-dense, nutritionally unbalanced products, low in fiber but high in saturated fat, salt, and sugar. Recently, UPF consumption has increased likewise the incidence of obesity and cardiometabolic diseases. To highlight a possible relationship, we conducted a systematic review of prospective studies from PubMed and Web of Science investigating the association between UPF consumption and the incidence of obesity and cardiometabolic risk factors. Seventeen studies were selected. Eight evaluated the incidence of general and abdominal obesity, one the incidence of impaired fasting blood glucose, four the incidence of diabetes, two the incidence of dyslipidemia, and only one the incidence of metabolic syndrome. Studies' quality was assessed according to the Critical Appraisal Checklist for cohort studies proposed by the Joanna Briggs Institute. Substantial agreement emerged among the studies in defining UPF consumption as being associated with the incident risk of general and abdominal obesity. More limited was the evidence on cardiometabolic risk. Nevertheless, most studies reported that UPF consumption as being associated with an increased risk of hypertension, diabetes, and dyslipidemia. In conclusion, evidence supports the existence of a relationship between UPF consumption and the incidence of obesity and cardiometabolic risk. However, further longitudinal studies considering diet quality and changes over time are needed.
Collapse
Affiliation(s)
- Sara Paola Mambrini
- IRCCS Auxologico, Laboratory of Metabolic Research, San Giuseppe Hospital, 28824 Piancavallo, Italy
- International Center for the Assessment of Nutritional Status and the Development of Dietary Intervention Strategies (ICANS-DIS), Department of Food, Environmental and Nutritional Sciences (DeFENS), University of Milan, 20133 Milan, Italy
| | - Francesca Menichetti
- International Center for the Assessment of Nutritional Status and the Development of Dietary Intervention Strategies (ICANS-DIS), Department of Food, Environmental and Nutritional Sciences (DeFENS), University of Milan, 20133 Milan, Italy
| | - Simone Ravella
- International Center for the Assessment of Nutritional Status and the Development of Dietary Intervention Strategies (ICANS-DIS), Department of Food, Environmental and Nutritional Sciences (DeFENS), University of Milan, 20133 Milan, Italy
| | - Marta Pellizzari
- IRCCS Auxologico, Laboratory of Nutrition and Obesity Research, Department of Endocrine and Metabolic Diseases, 20145 Milan, Italy
| | - Ramona De Amicis
- International Center for the Assessment of Nutritional Status and the Development of Dietary Intervention Strategies (ICANS-DIS), Department of Food, Environmental and Nutritional Sciences (DeFENS), University of Milan, 20133 Milan, Italy
- IRCCS Auxologico, Laboratory of Nutrition and Obesity Research, Department of Endocrine and Metabolic Diseases, 20145 Milan, Italy
| | - Andrea Foppiani
- International Center for the Assessment of Nutritional Status and the Development of Dietary Intervention Strategies (ICANS-DIS), Department of Food, Environmental and Nutritional Sciences (DeFENS), University of Milan, 20133 Milan, Italy
| | - Alberto Battezzati
- International Center for the Assessment of Nutritional Status and the Development of Dietary Intervention Strategies (ICANS-DIS), Department of Food, Environmental and Nutritional Sciences (DeFENS), University of Milan, 20133 Milan, Italy
- IRCCS Auxologico, Clinical Nutrition Unit, Department of Endocrine and Metabolic Diseases, 20145 Milan, Italy
| | - Simona Bertoli
- International Center for the Assessment of Nutritional Status and the Development of Dietary Intervention Strategies (ICANS-DIS), Department of Food, Environmental and Nutritional Sciences (DeFENS), University of Milan, 20133 Milan, Italy
- IRCCS Auxologico, Laboratory of Nutrition and Obesity Research, Department of Endocrine and Metabolic Diseases, 20145 Milan, Italy
| | - Alessandro Leone
- International Center for the Assessment of Nutritional Status and the Development of Dietary Intervention Strategies (ICANS-DIS), Department of Food, Environmental and Nutritional Sciences (DeFENS), University of Milan, 20133 Milan, Italy
| |
Collapse
|
55
|
Csákvári T, Elmer D, Németh N, Komáromy M, Kajos LF, Kovács B, Boncz I. Assessing the per Capita Food Supply Trends of 38 OECD Countries between 2000 and 2019-A Joinpoint Regression Analysis. Life (Basel) 2023; 13:life13051091. [PMID: 37240736 DOI: 10.3390/life13051091] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Revised: 04/25/2023] [Accepted: 04/26/2023] [Indexed: 05/28/2023] Open
Abstract
Food supply has an impact on the prevalence of diet-related non-communicable diseases. We aimed to analyze the protein, fat (g/capita/day) and calorie (kcal/capita/day) supply from 2000 to 2019 as derived from the OECD Health Statistics database. A joinpoint regression was used to examine the number and location of breakpoints in the time series. The annual percent change (APC) was calculated using Joinpoint 4.9.0.0. The per capita daily kcal per nutrient was calculated for each country and the resulting percentage distributions were compared to the acceptable macronutrient distribution ranges. Protein, fat and calorie supplies have increased significantly between 2000 and 2019. Each started to show a much steeper, positive change between 2012 and 2014 (APCfat: 1.0; 95%CI: 0.8-1.1; APCprotein: 0.5; 95%CI: 0.3-0.6; APCkcal: 0.4; 95%CI: 0.3-0.5). In terms of the composition of the daily calorie intake per capita, the overall share of fat (+4.9%) and protein (+1.0%) increased between 2000 and 2019. We found significant differences among countries and also an increasing and optimal proportion of consumed protein per total calorie in all countries over the last two decades. We concluded that several countries have access to fat availability above the optimal level, which deserves particular attention from health policy makers in the fight against obesity and diet-related diseases.
Collapse
Affiliation(s)
- Tímea Csákvári
- Institute of Health Insurance, Faculty of Health Sciences, University of Pécs, 7621 Pécs, Hungary
- National Laboratory on Human Reproduction, University of Pécs, 7624 Pécs, Hungary
| | - Diána Elmer
- Institute of Health Insurance, Faculty of Health Sciences, University of Pécs, 7621 Pécs, Hungary
- National Laboratory on Human Reproduction, University of Pécs, 7624 Pécs, Hungary
| | - Noémi Németh
- Institute of Health Insurance, Faculty of Health Sciences, University of Pécs, 7621 Pécs, Hungary
| | - Márk Komáromy
- Institute of Health Insurance, Faculty of Health Sciences, University of Pécs, 7621 Pécs, Hungary
| | - Luca Fanni Kajos
- Institute of Health Insurance, Faculty of Health Sciences, University of Pécs, 7621 Pécs, Hungary
- National Laboratory on Human Reproduction, University of Pécs, 7624 Pécs, Hungary
| | - Bettina Kovács
- Institute of Health Insurance, Faculty of Health Sciences, University of Pécs, 7621 Pécs, Hungary
- National Laboratory on Human Reproduction, University of Pécs, 7624 Pécs, Hungary
| | - Imre Boncz
- Institute of Health Insurance, Faculty of Health Sciences, University of Pécs, 7621 Pécs, Hungary
- National Laboratory on Human Reproduction, University of Pécs, 7624 Pécs, Hungary
| |
Collapse
|
56
|
Menichetti G, Ravandi B, Mozaffarian D, Barabási AL. Machine learning prediction of the degree of food processing. Nat Commun 2023; 14:2312. [PMID: 37085506 PMCID: PMC10121643 DOI: 10.1038/s41467-023-37457-1] [Citation(s) in RCA: 16] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2022] [Accepted: 03/16/2023] [Indexed: 04/23/2023] Open
Abstract
Despite the accumulating evidence that increased consumption of ultra-processed food has adverse health implications, it remains difficult to decide what constitutes processed food. Indeed, the current processing-based classification of food has limited coverage and does not differentiate between degrees of processing, hindering consumer choices and slowing research on the health implications of processed food. Here we introduce a machine learning algorithm that accurately predicts the degree of processing for any food, indicating that over 73% of the US food supply is ultra-processed. We show that the increased reliance of an individual's diet on ultra-processed food correlates with higher risk of metabolic syndrome, diabetes, angina, elevated blood pressure and biological age, and reduces the bio-availability of vitamins. Finally, we find that replacing foods with less processed alternatives can significantly reduce the health implications of ultra-processed food, suggesting that access to information on the degree of processing, currently unavailable to consumers, could improve population health.
Collapse
Affiliation(s)
- Giulia Menichetti
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Network Science Institute and Department of Physics, Northeastern University, Boston, MA, USA
| | - Babak Ravandi
- Network Science Institute and Department of Physics, Northeastern University, Boston, MA, USA
| | - Dariush Mozaffarian
- Tufts Friedman School of Nutrition Science and Policy, Boston, MA, USA
- Tufts School of Medicine and Medical Center, Boston, MA, USA
| | - Albert-László Barabási
- Network Science Institute and Department of Physics, Northeastern University, Boston, MA, USA.
- Department of Network and Data Science, Central European University, Budapest, Hungary.
- Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
| |
Collapse
|
57
|
Honicky M, Cardoso SM, de Lima LRA, Silva DAS, de Lima TR, Back IDC, Moreno YMF. Clusters of lifestyle behaviors associated with atherosclerosis risk factors in children and adolescents with congenital heart disease: Floripa CHild Study. Appl Physiol Nutr Metab 2023; 48:231-240. [PMID: 36459689 DOI: 10.1139/apnm-2022-0091] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/05/2022]
Abstract
Secondary cardiovascular disease is the main cause of mortality in congenital heart disease (CHD) patients. The cardiovascular risk could be widely prevented with adherence to a healthy lifestyle; however, clusters of lifestyle behaviors related to atherosclerosis risk factors in children and adolescents with CHD remain unclear. We aimed to describe the clusters of lifestyle behaviors of children and adolescents with CHD and to evaluate their association with atherosclerosis risk factors. We conducted a cross-sectional study on 227 children and adolescents with CHD (median age:10.02 [IQR:7.08-13.02] years). Dietary intake, physical activity (PA), and sedentary behavior (SB) were evaluated. Clusters of lifestyle behaviors were determined using a two-step cluster analysis. Atherosclerosis risk factors evaluated include body fat mass, central obesity, blood pressure, lipid parameters, glucose, C-reactive protein, and carotid intima-media thickness (cIMT). Multiple logistic regressions were used. The "unhealthy: high SB + low PA" cluster was associated with elevated body fat mass, central obesity, and elevated cIMT. Furthermore, the "unhealthy: low PA + unhealthy eating habits" cluster was associated with elevated body fat mass, central obesity, and elevated glucose. The unhealthier lifestyle behavior clusters were associated with atherosclerosis risk factors in children and adolescents with CHD. Multidisciplinary strategies to promote healthy behaviors are needed to prevent cardiovascular disease in later life.
Collapse
Affiliation(s)
- Michele Honicky
- Post Graduate Program in Nutrition, Federal University of Santa Catarina, Health Science Centre, Florianopolis, Santa Catarina, Brazil
| | - Silvia M Cardoso
- Polydoro Ernani São Tiago University Hospital, Federal University of Santa Catarina, Florianopolis, Santa Catarina, Brazil
| | - Luiz R A de Lima
- Institute of Physical Education and Sport, Federal University of Alagoas, Maceió, Alagoas, Brazil
| | - Diego A S Silva
- Research Center in Kinanthropometry and Human Performance, Federal University of Santa Catarina, Florianopolis, Santa Catarina, Brazil
| | - Tiago R de Lima
- Research Center in Kinanthropometry and Human Performance, Federal University of Santa Catarina, Florianopolis, Santa Catarina, Brazil
| | - Isabela de C Back
- Federal University of Santa Catarina, Health Science Centre, Florianopolis, Santa Catarina, Brazil
| | - Yara M F Moreno
- Post Graduate Program in Nutrition, Federal University of Santa Catarina, Health Science Centre, Florianopolis, Santa Catarina, Brazil
| |
Collapse
|
58
|
Cross AJ, Gunter MJ. Ultra-processed foods and colorectal neoplasia: is there a link? J Natl Cancer Inst 2023; 115:117-119. [PMID: 36478262 PMCID: PMC9905961 DOI: 10.1093/jnci/djac222] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2022] [Accepted: 11/30/2022] [Indexed: 12/13/2022] Open
Affiliation(s)
- Amanda J Cross
- School of Public Health and the Department of Surgery & Cancer, Imperial College London, London, UK
| | - Marc J Gunter
- Nutrition and Metabolism Branch, International Agency for Research on Cancer-World Health Organization, Lyon, France
| |
Collapse
|
59
|
Pan F, Wang Z, Wang H, Zhang J, Su C, Jia X, Du W, Jiang H, Li W, Wang L, Hao L, Zhang B, Ding G. Association between Ultra-Processed Food Consumption and Metabolic Syndrome among Adults in China-Results from the China Health and Nutrition Survey. Nutrients 2023; 15:752. [PMID: 36771458 PMCID: PMC9921592 DOI: 10.3390/nu15030752] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2023] [Revised: 01/26/2023] [Accepted: 01/30/2023] [Indexed: 02/05/2023] Open
Abstract
The prevalence of metabolic syndrome (MetS) is increasing and the relationship between ultra-processed food (UPF) consumption and MetS remains uncertain in Chinese adults. This study aimed to examine the longitudinal association of UPF consumption with the risk of MetS and its components in Chinese adults. Adults aged 18 years and above who participated in at least two waves of the China Health and Nutrition Survey (CHNS) in 2009, 2015, and 2018 were included in this analysis. Dietary intake data were collected by three consecutive 24 h dietary recalls and weighing household foods and condiments. Depending on the purpose and extent of food processing, UPFs were classified using the NOVA food classification system. A multivariate Cox proportional risk model was used to explore the association between UPF consumption (grouped by quartile: quartile 1 (Q1), quartile 2 (Q2), quartile 3 (Q3), and quartile 4 (Q4)) and risk of MetS and its components. A total of 5147 adults were included. During a median (IQR) 6.0 (3.0, 9.0) year follow-up with 31,878 person-years, 1712 MetS cases were identified, with an incidence of 33.26%. After multivariable adjustment, the risk of MetS was increased by 17% in the highest quartile with UPF consumption (HR: 1.17, 95% CI: 1.01-1.35, p trend: 0.047), with the lowest quartile as a reference. For the components of MetS, the risk of central obesity, raised triglycerides (TG), reduced high-density lipoprotein cholesterol (HDL-C), and raised blood pressure (BP) was increased by 33% (HR: 1.33, 95% CI: 1.18-1.51, p trend: <0.001), 26% (HR: 1.26, 95% CI: 1.08-1.48, p trend: 0.003), 25% (HR: 1.25, 95% CI: 1.07-1.46, p trend: 0.007), and 16% (HR: 1.16, 95% CI: 1.03-1.32, p trend: 0.018) in the highest quartile with UPF consumption, respectively. Adults aged 45-59 years and living in urban areas with higher UPF consumption had higher odds of MetS. These results indicate that higher long-term UPF consumption was associated with an increased risk of MetS in Chinese adults. Further studies such as intervention trials are needed to confirm the mechanism of correlation between UPF consumption and health-related outcomes. Nutritional education actions are warranted to promote a balanced diet and improve the overall dietary quality of residents to reduce the risk of MetS effectively.
Collapse
Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | | | - Gangqiang Ding
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| |
Collapse
|
60
|
Canhada SL, Vigo Á, Luft VC, Levy RB, Alvim Matos SM, del Carmen Molina M, Giatti L, Barreto S, Duncan BB, Schmidt MI. Ultra-Processed Food Consumption and Increased Risk of Metabolic Syndrome in Adults: The ELSA-Brasil. Diabetes Care 2023; 46:369-376. [PMID: 36516280 PMCID: PMC9887627 DOI: 10.2337/dc22-1505] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/01/2022] [Accepted: 11/16/2022] [Indexed: 12/15/2022]
Abstract
OBJECTIVE To investigate the association between ultra-processed food (UPF) consumption and the incidence of metabolic syndrome (MetS). RESEARCH DESIGN AND METHODS From 2008 to 2010, we enrolled 15,105 adults, aged 35-74 years, who were employees from six public education and research institutions to assemble the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil). We used a food frequency questionnaire to assess UPF consumption (measured in grams per day) at baseline. We then assessed the outcomes of those returning to visits between 2012 and 2014 and between 2017 and 2019. We defined incident MetS by the presence of at least three of the following five abnormalities: high fasting glucose level, high triglyceride level, low HDL cholesterol level, high blood pressure, and abdominal obesity, after excluding those meeting such criteria at baseline. We also excluded those who had missing data or an implausible energy intake, leaving 8,065 participants in the study. RESULTS The median age was 49 years, 59% of participants were women, and the median consumption of UPFs was 366 g/day. After 8 years, there were 2,508 new cases of MetS. In robust Poisson regression, adjusting for sociodemographics, behavioral factors, and energy intake, we found a 7% (relative risk [RR] 1.07; 95% CI 1.05-1.08) higher risk of incident MetS for an increase of 150 g/day in UPF consumption. Similarly, those in the fourth quartile (compared with the first quartile) had a 33% increased risk (RR 1.33; 95% CI 1.20-1.47). Further adjustment for BMI attenuated these associations (for 150 g/day increases in UPF consumption and for the fourth quartile compared to the first one, respectively, RR = 1.04, 95% CI 1.02-1.06; RR = 1.19, 95% CI 1.07-1.32). CONCLUSIONS Greater consumption of UPFs is associated with an increased risk of MetS. These findings have important implications for diabetes and cardiovascular disease prevention and management.
Collapse
Affiliation(s)
- Scheine Leite Canhada
- Postgraduate Program in Epidemiology, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
| | - Álvaro Vigo
- Postgraduate Program in Epidemiology, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
| | - Vivian Cristine Luft
- Postgraduate Program in Epidemiology, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
- Postgraduate Program in Food, Nutrition and Health, Universidade Federal do Rio Grande do Sul, Hospital de Clínicas de Porto Alegre, Porto Alegre, Rio Grande do Sul, Brazil
| | - Renata Bertazzi Levy
- Department of Preventive Medicine, School of Medicine, Universidade de São Paulo, São Paulo, São Paulo, Brazil
| | - Sheila Maria Alvim Matos
- Postgraduate Program in Collective Health, Instituto de Saúde Coletiva, Universidade Federal da Bahia, Salvador, Bahia, Brazil
| | - Maria del Carmen Molina
- Postgraduate Program in Nutrition and Health, Universidade Federal do Espírito Santo, Vitória, Espírito Santo, Brazil
| | - Luana Giatti
- Postgraduate Program in Public Health and School of Medicine & Clinical Hospital, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil
| | - Sandhi Barreto
- Postgraduate Program in Public Health and School of Medicine & Clinical Hospital, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil
| | - Bruce Bartholow Duncan
- Postgraduate Program in Epidemiology, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
| | - Maria Inês Schmidt
- Postgraduate Program in Epidemiology, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
| |
Collapse
|
61
|
Gu Y, Li H, Ma H, Zhang S, Meng G, Zhang Q, Liu L, Wu H, Zhang T, Wang X, Zhang J, Sun S, Wang X, Zhou M, Jia Q, Song K, Liu Q, Huang T, Borné Y, Wang Y, Qi L, Niu K. Consumption of ultraprocessed food and development of chronic kidney disease: the Tianjin Chronic Low-Grade Systemic Inflammation and Health and UK Biobank Cohort Studies. Am J Clin Nutr 2023; 117:373-382. [PMID: 36811571 DOI: 10.1016/j.ajcnut.2022.11.005] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2022] [Revised: 10/25/2022] [Accepted: 11/07/2022] [Indexed: 12/23/2022] Open
Abstract
BACKGROUND Many ultraprocessed food (UPF)-derived by-products may play a role in the development of chronic kidney disease (CKD). Although several studies have assessed the association of UPFs with kidney function decline or CKD in various countries, no evidence has been shown in China and the United Kingdom. OBJECTIVES This study aims to evaluate the association between UPF consumption and risk of CKD in 2 large cohort studies from China and the United Kingdom. METHODS In total, 23,775 and 102,332 participants without baseline CKD were enrolled in the Tianjin Chronic Low-Grade Systemic Inflammation and Health (TCLSIH) and UK Biobank cohort studies, respectively. Information on UPF consumption was obtained from a validated food frequency questionnaire in the TCLSIH and 24-h dietary recalls in the UK Biobank cohort. CKD was defined as an estimated glomerular filtration rate of <60 mL/min/1.73 m2, albumin-to-creatinine ratio ≥30 mg/g, or as having a clinical diagnosis of CKD in both cohorts. Multivariable Cox proportional hazard models were used to examine the association between UPF consumption and the risk of CKD. RESULTS After a median follow-up of 4.0 and 10.1 y, the incidence rates of CKD were around 1.1% and 1.7% in the TCLSIH and UK Biobank cohorts, respectively. The multivariable hazard ratio [95% confidence interval] of CKD across increasing quartiles (quartiles 1-4) of UPF consumption were 1 (reference), 1.24 (0.89, 1.72), 1.30 (0.91, 1.87), and 1.58 (1.07, 2.34) (P for trend = 0.02) in the TCLSIH cohort and 1 (reference), 1.14 (1.00, 1.31), 1.16 (1.01, 1.33), and 1.25 (1.09, 1.43) (P for trend < 0.01) in the UK Biobank cohort, respectively. CONCLUSIONS Our finding indicated that higher UPF consumption is associated with a higher risk of CKD. Moreover, restricting UPF consumption may potentially benefit the prevention of CKD. Further clinical trials are required to clarify the causality. This trial was registered at UMIN Clinical Trials Registry as UMIN000027174 (https://upload.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000031137).
Collapse
Affiliation(s)
- Yeqing Gu
- Institute of Radiation Medicine, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, China
| | - Huiping Li
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Hao Ma
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Shunming Zhang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China; School of Public Health of Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Ge Meng
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Qing Zhang
- Health Management Center, Tianjin Medical University General Hospital, Tianjin, China
| | - Li Liu
- Health Management Center, Tianjin Medical University General Hospital, Tianjin, China
| | - Hongmei Wu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Tingjing Zhang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Xuena Wang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Juanjuan Zhang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Shaomei Sun
- Health Management Center, Tianjin Medical University General Hospital, Tianjin, China
| | - Xing Wang
- Health Management Center, Tianjin Medical University General Hospital, Tianjin, China
| | - Ming Zhou
- Health Management Center, Tianjin Medical University General Hospital, Tianjin, China
| | - Qiyu Jia
- Health Management Center, Tianjin Medical University General Hospital, Tianjin, China
| | - Kun Song
- Health Management Center, Tianjin Medical University General Hospital, Tianjin, China
| | - Qiang Liu
- Institute of Radiation Medicine, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, China
| | - Tao Huang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China
| | - Yan Borné
- Department of Clinical Sciences in Malmö, Lund University, Malmö, Sweden
| | - Yaogang Wang
- School of Public Health, Tianjin Medical University, Tianjin, China; School of Integrative Medicine, Public Health Science and Engineering College, Tianjin University of Traditional Chinese Medicine, Tianjin, China.
| | - Lu Qi
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
| | - Kaijun Niu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China; School of Public Health of Tianjin University of Traditional Chinese Medicine, Tianjin, China; Health Management Center, Tianjin Medical University General Hospital, Tianjin, China; Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, China; Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, China.
| |
Collapse
|
62
|
Weinstein G, Vered S, Ivancovsky-Wajcman D, Ravona-Springer R, Heymann A, Zelber-Sagi S, Shahar DR, Beeri MS. Consumption of Ultra-Processed Food and Cognitive Decline among Older Adults With Type-2 Diabetes. J Gerontol A Biol Sci Med Sci 2023; 78:134-142. [PMID: 35305016 PMCID: PMC9879751 DOI: 10.1093/gerona/glac070] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2021] [Indexed: 02/03/2023] Open
Abstract
BACKGROUND Ultra-processed food (UPF) consumption is related to increased morbidity and mortality. However, knowledge on its association with cognitive function is lacking. In this longitudinal study, we examined the associations between UPF intake and cognitive decline in older adults with type-2 diabetes (T2D). METHODS The sample included initially nondemented T2D older adults (≥65 years), from the Israel Diabetes and Cognitive Decline study, who had complete information on nutrition at baseline and at least 3 cognitive assessments (mean follow-up 5.3 ± 1.5 years). Nutritional intake was evaluated by a validated Food-Frequency Questionnaire, and foods were categorized as UPF based on NOVA classification. Percent of calories from UPF were calculated from total caloric consumption in total and specific food groups. Mixed effect models were used to examine the link between UPF intake (top vs bottom quartiles) and change in cognitive function overall and in specific domains, adjusting for potential confounders. RESULTS Of the total sample (N = 568; mean age 71.3 ± 4.5 years, 60% men), 141 consumed >31% kcal from UPF (top quartile). Greater intake of ultra-processed meat was associated with a faster decline in executive functions and global cognition (β = -0.041 ± 0.013; p = .002 and β = -0.026 ± 0.010; p = .011, respectively). Additionally, consumption of ultra-processed oils/spreads was associated with faster decline in executive functions and global cognition (β = -0.037 ± 0.014; p = .006 and β = -0.028 ± 0.010; p = .009, respectively). Total UPF consumption and UPF-derived from dairy products and bread/pastries/starch were not associated with cognitive change. CONCLUSION This study suggests that a high intake of ultra-processed meat and oils/spreads may be associated with accelerated cognitive decline in older individuals with T2D.
Collapse
Affiliation(s)
| | - Shiraz Vered
- School of Public Health, University of Haifa, Haifa, Israel
| | - Dana Ivancovsky-Wajcman
- Liver Unit, Department of Gastroenterology, Tel-Aviv Sourasky Medical Center, Tel-Aviv, Israel
| | - Ramit Ravona-Springer
- The Joseph Sagol Neuroscience Center, Sheba Medical Center, Ramat-Gan, Israel
- Sackler School of Medicine, Tel-Aviv University, Israel
| | - Anthony Heymann
- Sackler School of Medicine, Tel-Aviv University, Israel
- Maccabi Healthcare Services, Tel-Aviv, Israel
| | - Shira Zelber-Sagi
- School of Public Health, University of Haifa, Haifa, Israel
- Liver Unit, Department of Gastroenterology, Tel-Aviv Sourasky Medical Center, Tel-Aviv, Israel
| | - Danit Rivka Shahar
- Department of Public Health, Ben-Gurion University of the Negev, Beer-Sheva, Israel
| | - Michal Schnaider Beeri
- The Joseph Sagol Neuroscience Center, Sheba Medical Center, Ramat-Gan, Israel
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| |
Collapse
|
63
|
de Araújo JM, Eufrosino de Alencar Rodrigues R, da Costa Pereira de Arruda Neta A, Leite Lima Ferreira FE, Lira Formiga Cavalcanti de Lima R, Pinheiro de Toledo Vianna R, Vasconcelos Leitão Moreira L, Moreira da Silva Neto J, Moreira PVL. The direct and indirect costs of cardiovascular diseases in Brazil. PLoS One 2022; 17:e0278891. [PMID: 36548305 PMCID: PMC9778932 DOI: 10.1371/journal.pone.0278891] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2021] [Accepted: 11/23/2022] [Indexed: 12/24/2022] Open
Abstract
OBJECTIVE To evaluate the direct and indirect costs of cardiovascular diseases (such as coronary heart disease and stroke) by sex and age group, attributed to the excessive consumption of salt, saturated fat and trans fat in Brazil. MATERIALS AND METHODS The data for estimating the Population Attributable Fraction (PAF) corresponding to the consumption of salt, saturated fat and trans-fat were obtained from the Household Budget Survey 2017-2018. The calculation of direct costs for cardiovascular diseases (CVD) was made from the accounting sum of costs with hospitalizations and outpatient care found in the National Health System (Hospital Information System and Outpatient Information System), from 2017 to 2019, including the costs of treatment, such as medical consultations, medical procedures, and drugs. Regarding the indirect costs, they were measured by the loss of human capital, given the premature death, resulting in loss of productivity. To define the attributable costs, they were multiplied by the PAF. RESULTS Higher burden of CVD attributable to the consumption of salt, saturated fat and trans fat were observed in younger individuals, which progressively decreased with advancing age, but still generated economic costs in the order of US$ 7.18 billion, in addition to 1.53 million productive years of life lost (YLL) to premature death, if considering salt as an inducer. Although attributable burden of CVD is higher among younger individuals, the highest costs are associated with males aged 45 to 74 years old for direct costs and 45 to 64 years old for indirect costs. CONCLUSION The attributable fractions to consumption of salt are the ones that cause the most effects on CVD, followed by saturated fat and trans fat, with direct and indirect costs being higher for males.
Collapse
|
64
|
Crepaldi BVC, Okada LM, Claro RM, Louzada MLDC, Rezende LFM, Levy RB, Azeredo CM. Educational inequality in consumption of in natura or minimally processed foods and ultra-processed foods: The intersection between sex and race/skin color in Brazil. Front Nutr 2022; 9:1055532. [PMID: 36570160 PMCID: PMC9774479 DOI: 10.3389/fnut.2022.1055532] [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: 09/27/2022] [Accepted: 11/17/2022] [Indexed: 12/13/2022] Open
Abstract
Background It remains uncertain how the intersection between educational, gender, and race/skin color inequalities influences food consumption in Brazil. In this study, we examined the educational inequality in the consumption of in natura/minimally processed and ultra-processed foods by Brazilians with an intersectional perspective between sex and race/color. Methods We used cross-sectional data from the Telephone Surveillance System (VIGITEL 2019), comprising 52,443 participants ≥ 18 years. Daily food consumption was considered high when consumption of ≥5 foods for each food group was reported the day before the survey. Educational inequality in food consumption was assessed by the slope index of inequality (SII) and the relative index of inequality (RII) according to sex and race/color (White; Black/Brown). Positive SII and RII values > 1.0 indicate higher food consumption among more educated participants. Results The consumptions of in natura/minimally processed and ultra-processed foods were more prevalent in those with the highest level of education (≥12 years) and intermediate education (9-11 years), respectively. However, highly educated White women had higher consumption of in natura/minimally processed foods than Black women with the same education level, and White men in low and intermediate school levels had higher consumption of these foods than Black men with the same education levels. We found higher absolute educational inequality for in natura/minimally processed foods among White women (SII 21.8, 95% CI 15.3, 28.4) and Black/Brown men (SII 19.3, 95% CI 12.5, 26.1). Black/Brown men (SII 7.3, 95% CI 0.5, 14.0) and Black/Brown women (SII 5.6, 95% CI 1.0, 10.2) had higher absolute educational inequality than White men (SII -3.3, 95% CI -10.9, 4.3; P = 0.04) in the consumption of ultra-processed foods. Conclusion Educational inequalities influenced the consumption of in natura/minimally processed more than ultra-processed foods, and, for the latter, inequalities were greater among Black/Brown men and women than among White men.
Collapse
Affiliation(s)
| | - Letícia Martins Okada
- Programa de Pós-Graduação em Ciências da Saúde, Faculdade de Medicina, Universidade Federal de Uberlândia, Uberlândia, MG, Brazil
| | - Rafael Moreira Claro
- Departamento de Nutrição, Escola de Enfermagem, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil
| | | | - Leandro F. M. Rezende
- Departamento de Medicina Preventiva, Escola Paulista de Medicina, Universidade Federal de São Paulo, São Paulo, SP, Brazil
| | - Renata Bertazzi Levy
- Departamento de Medicina Preventiva, Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, Brazil
| | - Catarina Machado Azeredo
- Programa de Pós-Graduação em Ciências da Saúde, Faculdade de Medicina, Universidade Federal de Uberlândia, Uberlândia, MG, Brazil,*Correspondence: Catarina Machado Azeredo,
| |
Collapse
|
65
|
Martinez Steele E, Marrón Ponce JA, Cediel G, Louzada MLC, Khandpur N, Machado P, Moubarac JC, Rauber F, Corvalán C, Levy RB, Monteiro CA. Potential reductions in ultra-processed food consumption substantially improve population cardiometabolic-related dietary nutrient profiles in eight countries. Nutr Metab Cardiovasc Dis 2022; 32:2739-2750. [PMID: 36163210 DOI: 10.1016/j.numecd.2022.08.018] [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: 02/21/2022] [Revised: 08/24/2022] [Accepted: 08/25/2022] [Indexed: 11/25/2022]
Abstract
BACKGROUND AND AIMS The negative effect on dietary nutrient profiles is the most obvious mechanism explaining the higher risk of cardiometabolic diseases associated with increased dietary share of UPF observed in large cohort studies. We estimate the proportion of diets with excessive energy density, excessive free sugars or saturated fat contents and insufficient fiber that could be avoided, if UPF consumption was reduced to levels among lowest consumers across eight countries, as well as the proportion of diets with multiple inadequacies. METHODS AND RESULTS Using nationally-representative cross-sectional surveys from Brazil (2008-09), Chile (2010), Colombia (2005), Mexico (2012), Australia (2011-12), the UK (2008-16), Canada (2015), and the US (2015-16), inadequate energy density (≥2.25 kcal/g) or contents of free sugars (>10% of total energy intake), saturated fats (>10% of total energy intake) and fiber (<25 g/2000 kcal) population attributable fractions were quantified. Substantial reductions in nutrient inadequacies would be observed ranging from 50.4% in Chile to 76.8% in US for dietary energy density, from 15.5% in Colombia to 68.4% in Australia for free sugars, from 9.5% in Canada to 35.0% in Mexico for saturated fats, and from 10.3% in UK to 37.9% in Mexico for fiber. Higher reductions would be observed for diets with multiple nutrient inadequacies: from 27.3% in UK to 77.7% in Australia for ≥3 and from 69.4% in Canada to 92.1% in US, for 4 inadequacies. CONCLUSIONS Lowering dietary contribution of UPF to levels among country-specific lowest consumers is a way to improve population cardiometabolic-related dietary nutrient profiles.
Collapse
Affiliation(s)
- E Martinez Steele
- Department of Nutrition, School of Public Health, University of São Paulo, São Paulo, Brazil; Center for Epidemiological Studies in Health and Nutrition, University of São Paulo, São Paulo, Brazil.
| | - J A Marrón Ponce
- Center for Nutrition and Health Research, National Institute of Public Health, Cuernavaca, Mexico.
| | - G Cediel
- Center for Epidemiological Studies in Health and Nutrition, University of São Paulo, São Paulo, Brazil; School of Nutrition and Dietetics, University of Antioquia, Medellín, Colombia.
| | - M L C Louzada
- Department of Nutrition, School of Public Health, University of São Paulo, São Paulo, Brazil; Center for Epidemiological Studies in Health and Nutrition, University of São Paulo, São Paulo, Brazil.
| | - N Khandpur
- Department of Nutrition, School of Public Health, University of São Paulo, São Paulo, Brazil; Center for Epidemiological Studies in Health and Nutrition, University of São Paulo, São Paulo, Brazil; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, USA.
| | - P Machado
- Center for Epidemiological Studies in Health and Nutrition, University of São Paulo, São Paulo, Brazil; Institute for Physical Activity and Nutrition (IPAN), School of Exercise and Nutrition Sciences, Deakin University, Geelong 3220, Australia.
| | - J-C Moubarac
- Département de Nutrition, Université de Montréal, Montréal, Canada.
| | - F Rauber
- Department of Nutrition, School of Public Health, University of São Paulo, São Paulo, Brazil; Center for Epidemiological Studies in Health and Nutrition, University of São Paulo, São Paulo, Brazil; Department of Preventive Medicine, School of Medicine, University of São Paulo, São Paulo, Brazil.
| | - C Corvalán
- CIAPEC, Unidad de Nutrición Pública, INTA, Universidad de Chile, Chile.
| | - R B Levy
- Center for Epidemiological Studies in Health and Nutrition, University of São Paulo, São Paulo, Brazil; Department of Preventive Medicine, School of Medicine, University of São Paulo, São Paulo, Brazil.
| | - C A Monteiro
- Department of Nutrition, School of Public Health, University of São Paulo, São Paulo, Brazil; Center for Epidemiological Studies in Health and Nutrition, University of São Paulo, São Paulo, Brazil.
| |
Collapse
|
66
|
Srour B, Kordahi MC, Bonazzi E, Deschasaux-Tanguy M, Touvier M, Chassaing B. Ultra-processed foods and human health: from epidemiological evidence to mechanistic insights. Lancet Gastroenterol Hepatol 2022; 7:1128-1140. [PMID: 35952706 DOI: 10.1016/s2468-1253(22)00169-8] [Citation(s) in RCA: 113] [Impact Index Per Article: 56.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/18/2022] [Revised: 05/11/2022] [Accepted: 05/12/2022] [Indexed: 06/15/2023]
Abstract
Epidemiological studies have suggested a role for ultra-processed foods in numerous chronic inflammatory diseases such as inflammatory bowel diseases and metabolic syndrome. Preclinical and clinical studies are accumulating to better decipher the effects of various aspects of food processing and formulation on the aetiology of chronic, debilitating inflammatory diseases. In this Review, we provide an overview of the current data that highlight an association between ultra-processed food consumption and various chronic diseases, with a focus on epidemiological evidence and mechanistic insights involving the intestinal microbiota.
Collapse
Affiliation(s)
- Bernard Srour
- Sorbonne Paris Nord University, INSERM U1153, INRAE U1125, CNAM, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center, Centre of Research in Epidemiology and Statistics, Université Paris Cité, Paris, France; NACRe Network-Nutrition and Cancer Research Network, Jouy-en-Josas, France
| | - Melissa C Kordahi
- INSERM U1016, Mucosal microbiota in chronic inflammatory diseases, CNRS UMR 8104, Université de Paris, Paris, France; NACRe Network-Nutrition and Cancer Research Network, Jouy-en-Josas, France
| | - Erica Bonazzi
- INSERM U1016, Mucosal microbiota in chronic inflammatory diseases, CNRS UMR 8104, Université de Paris, Paris, France; NACRe Network-Nutrition and Cancer Research Network, Jouy-en-Josas, France
| | - Mélanie Deschasaux-Tanguy
- Sorbonne Paris Nord University, INSERM U1153, INRAE U1125, CNAM, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center, Centre of Research in Epidemiology and Statistics, Université Paris Cité, Paris, France; NACRe Network-Nutrition and Cancer Research Network, Jouy-en-Josas, France
| | - Mathilde Touvier
- Sorbonne Paris Nord University, INSERM U1153, INRAE U1125, CNAM, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center, Centre of Research in Epidemiology and Statistics, Université Paris Cité, Paris, France; NACRe Network-Nutrition and Cancer Research Network, Jouy-en-Josas, France
| | - Benoit Chassaing
- INSERM U1016, Mucosal microbiota in chronic inflammatory diseases, CNRS UMR 8104, Université de Paris, Paris, France; NACRe Network-Nutrition and Cancer Research Network, Jouy-en-Josas, France.
| |
Collapse
|
67
|
Lamri A, De Paoli M, De Souza R, Werstuck G, Anand S, Pigeyre M. Insight into genetic, biological, and environmental determinants of sexual-dimorphism in type 2 diabetes and glucose-related traits. Front Cardiovasc Med 2022; 9:964743. [PMID: 36505380 PMCID: PMC9729955 DOI: 10.3389/fcvm.2022.964743] [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: 06/08/2022] [Accepted: 10/21/2022] [Indexed: 11/25/2022] Open
Abstract
There is growing evidence that sex and gender differences play an important role in risk and pathophysiology of type 2 diabetes (T2D). Men develop T2D earlier than women, even though there is more obesity in young women than men. This difference in T2D prevalence is attenuated after the menopause. However, not all women are equally protected against T2D before the menopause, and gestational diabetes represents an important risk factor for future T2D. Biological mechanisms underlying sex and gender differences on T2D physiopathology are not yet fully understood. Sex hormones affect behavior and biological changes, and can have implications on lifestyle; thus, both sex-specific environmental and biological risk factors interact within a complex network to explain the differences in T2D risk and physiopathology in men and women. In addition, lifetime hormone fluctuations and body changes due to reproductive factors are generally more dramatic in women than men (ovarian cycle, pregnancy, and menopause). Progress in genetic studies and rodent models have significantly advanced our understanding of the biological pathways involved in the physiopathology of T2D. However, evidence of the sex-specific effects on genetic factors involved in T2D is still limited, and this gap of knowledge is even more important when investigating sex-specific differences during the life course. In this narrative review, we will focus on the current state of knowledge on the sex-specific effects of genetic factors associated with T2D over a lifetime, as well as the biological effects of these different hormonal stages on T2D risk. We will also discuss how biological insights from rodent models complement the genetic insights into the sex-dimorphism effects on T2D. Finally, we will suggest future directions to cover the knowledge gaps.
Collapse
Affiliation(s)
- Amel Lamri
- Department of Medicine, McMaster University, Hamilton, ON, Canada,Population Health Research Institute (PHRI), Hamilton, ON, Canada
| | - Monica De Paoli
- Department of Medicine, McMaster University, Hamilton, ON, Canada,Thrombosis and Atherosclerosis Research Institute (TaARI), Hamilton, ON, Canada
| | - Russell De Souza
- Population Health Research Institute (PHRI), Hamilton, ON, Canada,Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada
| | - Geoff Werstuck
- Department of Medicine, McMaster University, Hamilton, ON, Canada,Thrombosis and Atherosclerosis Research Institute (TaARI), Hamilton, ON, Canada
| | - Sonia Anand
- Department of Medicine, McMaster University, Hamilton, ON, Canada,Population Health Research Institute (PHRI), Hamilton, ON, Canada,Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada
| | - Marie Pigeyre
- Department of Medicine, McMaster University, Hamilton, ON, Canada,Population Health Research Institute (PHRI), Hamilton, ON, Canada,*Correspondence: Marie Pigeyre
| |
Collapse
|
68
|
Handakas E, Chang K, Khandpur N, Vamos EP, Millett C, Sassi F, Vineis P, Robinson O. Metabolic profiles of ultra-processed food consumption and their role in obesity risk in British children. Clin Nutr 2022; 41:2537-2548. [PMID: 36223715 DOI: 10.1016/j.clnu.2022.09.002] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2022] [Revised: 08/11/2022] [Accepted: 09/05/2022] [Indexed: 12/27/2022]
Abstract
BACKGROUND & AIMS Higher consumption of ultra-processed foods (UPF) has been associated with childhood obesity, but underlying mechanisms remain unclear. We investigated plasma nuclear magnetic resonance metabolic profiles of higher UPF consumption and their role in obesity risk in the British ALSPAC cohort. METHODS We performed cross-sectional and prospective metabolome wide association analyses of UPF, calculated from food diaries using the NOVA classification. In cross-sectional analysis, we tested the association between UPF consumption and metabolic profile at 7 years (N = 4528), and in the prospective analysis we tested the association between UPF consumption at 13 years and metabolic profile at 17 years (N = 3086). Effects of UPF-associated metabolites at 7 years on subsequent fat mass accumulation were assessed using growth curve models. RESULTS At 7 years, UPF was associated with 115 metabolic traits including lower levels of branched-chain and aromatic amino acids and higher levels of citrate, glutamine, and monounsaturated fatty acids, which were also associated with greater fat mass accumulation. Reported intake of nutrients mediated associations with most metabolites, except for citrate. CONCLUSIONS UPF consumption among British children is associated with perturbation of multiple metabolic traits, many of which contribute to child obesity risk.
Collapse
Affiliation(s)
- Evangelos Handakas
- Μedical Research Council Centre for Environment and Health, School of Public Health, Imperial College London, London W2 1PG, United Kingdom
| | - Kiara Chang
- Public Health Policy Evaluation Unit, Imperial College London, London W6 8RP, United Kingdom
| | - Neha Khandpur
- Department of Nutrition, School of Public Health, University of São Paulo, São Paulo 01246-904, Brazil; Center for Epidemiological Research in Nutrition and Health, School of Public Health, University of São Paulo, São Paulo 01246-904, Brazil; Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA, U. S. A
| | - Eszter P Vamos
- Public Health Policy Evaluation Unit, Imperial College London, London W6 8RP, United Kingdom
| | - Christopher Millett
- Public Health Policy Evaluation Unit, Imperial College London, London W6 8RP, United Kingdom; Comprehensive Health Research Center and Public Health Research Centre, National School of Public Health, NOVA University Lisbon, Portugal
| | - Franco Sassi
- Centre for Health Economics & Policy Innovation, Department of Economics & Public Policy, Imperial College Business School, South Kensington Campus, London, United Kingdom
| | - Paolo Vineis
- Μedical Research Council Centre for Environment and Health, School of Public Health, Imperial College London, London W2 1PG, United Kingdom
| | - Oliver Robinson
- Μedical Research Council Centre for Environment and Health, School of Public Health, Imperial College London, London W2 1PG, United Kingdom; Mohn Centre for Children's Health and Well-being, School of Public Health, Imperial College London, United Kingdom.
| |
Collapse
|
69
|
Cubas-Basterrechea G, Elío I, Alonso G, Otero L, Gutiérrez-Bardeci L, Puente J, Muñoz-Cacho P. Adherence to the Mediterranean Diet Is Inversely Associated with the Prevalence of Metabolic Syndrome in Older People from the North of Spain. Nutrients 2022; 14:4536. [PMID: 36364798 PMCID: PMC9657522 DOI: 10.3390/nu14214536] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Revised: 10/17/2022] [Accepted: 10/25/2022] [Indexed: 11/16/2022] Open
Abstract
Background: The aim of this study was to relate adherence to the Mediterranean diet (MedDiet) to the prevalence of metabolic syndrome (MetS) in an elderly population from the north of Spain. Methods: We carried out an observational, descriptive, cross-sectional, and correlational study involving 556 non-institutionalised individuals aged 65 to 79 years. The MEDAS-14 questionnaire score was used to define the degree of adherence to the Mediterranean diet. The diagnosis of MetS was conducted using the International Diabetes Federation (IDF) criteria. Results: In 264 subjects with an average age of 71.9 (SD: ±4.2), 39% of whom were men, 36.4% had good adherence (score ≥ 9 in MEDAS-14), with no differences by gender or age. The prevalence of MetS was 40.2%, with 47.6% in men and 35.4% in women (p < 0.05). The prevalence of MetS was 2.4 times more frequent among individuals who consumed less than two servings (200 g) of vegetables daily compared with those who consumed two or more servings of vegetables daily (OR: 2.368, 95%CI: 1.141−4.916, p = 0.021). Low adherence to the MedDiet (MEDAS-14 score ≤ 8) was associated with an 82% higher prevalence of MetS (OR: 1.817, 95%CI: 1.072−3.081, p = 0.027). Conclusion: An inverse relationship was established between adherence to the MedDiet and the prevalence of MetS.
Collapse
Affiliation(s)
| | - Iñaki Elío
- Research Group on Foods, Nutritional Biochemistry and Health, Universidad Europea del Atlántico, 39011 Santander, Spain
- Department of Health, Nutrition and Sport, Iberoamerican International University, Campeche 24560, Mexico
| | | | - Luis Otero
- Primary Care Center Puertochico, 39004 Santander, Spain
| | | | - Jesús Puente
- Compass Group, Department VITArest, 28054 Madrid, Spain
| | - Pedro Muñoz-Cacho
- Teaching Department of Primary Care Management, Cantabrian Health Service, IDIVAL, 39011 Santander, Spain
| |
Collapse
|
70
|
Trends in food consumption according to the degree of food processing among the UK population over 11 years. Br J Nutr 2022:1-8. [DOI: 10.1017/s0007114522003361] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
Abstract
Although ultra-processed foods represent more than half of the total energy consumed by the UK population, little is known about the trend in food consumption considering the degree of food processing. We evaluated the trends of the dietary share of foods categorised according to the NOVA classification in a historical series (2018–2019) among the UK population. Data were acquired from the NDNS, a survey that collects diet information through a 4-d food record. We used adjusted linear regression to estimate the dietary participation of NOVA groups and evaluated the linear trends over the years. From 2008 to 2019, we observed a significant increase in the energy share of culinary ingredients (from 3·7 to 4·9 % of the total energy consumed; P-trend = 0·001), especially for butter and oils; and reduction of processed foods (from 9·6 to 8·6 %; P-trend = 0·002), especially for beer and wine. Unprocessed or minimally processed foods (≅30 %, P-trend = 0·505) and ultra-processed foods (≅56 %, P-trend = 0·580) presented no significant change. However, changes in the consumption of some subgroups are noteworthy, such as the reduction in the energy share of red meat, sausages and other reconstituted meat products as well as the increase of fruits, ready meals, breakfast cereals, cookies, pastries, buns and cakes. Regarding the socio-demographic characteristics, no interaction was observed with the trend of the four NOVA groups. From 2008 to 2019 was observed a significant increase in culinary ingredients and a reduction in processed food. Furthermore, it sheds light on the high share of ultra-processed foods in the contemporary British diet.
Collapse
|
71
|
Association between Ultra-Processed Food Consumption and Diabetes in Chinese Adults-Results from the China Health and Nutrition Survey. Nutrients 2022; 14:nu14204241. [PMID: 36296925 PMCID: PMC9609918 DOI: 10.3390/nu14204241] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2022] [Revised: 10/04/2022] [Accepted: 10/10/2022] [Indexed: 11/17/2022] Open
Abstract
Aims: We aimed to assess the association between ultra-processed food (UPF) consumption with diabetes in Chinese adults. Methods: This study included 12,849 eligible adults aged 20 years and over attending at least two surveys in the China Nutrition and Health Survey during 1997−2011. Food intake at each survey was assessed by a 3-day 24-h dietary recall method. UPF was defined based on the NOVA classification. Diabetes was obtained from questionnaires and/or ascertained by fasting blood tests. The association of diabetes with UPF was examined using mix effect logistic regression adjusting for potential confounding factors. Results: The mean age of the participants was 43.3 (SD 14.8) years. The age and gender adjusted mean UPF intake increased four times and the prevalence of diabetes increased eight times in 1997−2011. Compared with non-consumers, the odds ratios (95% CI) of diabetes for those with mean UPF consumption of 1−19 g/day, 20−49 g/day, and ≥50 g/day were 1.21 (0.98, 1.48), 1.49 (1.19, 1.86), and 1.40 (1.08, 1.80), respectively (p trend < 0.001) after adjusted for the measured covariates including lifestyle factors (smoking, alcohol drinking, and physical activity), BMI and hypertension. Conclusions: both UPF consumption and prevalence of diabetes increased among adults in China during 1997−2011. Higher UPF consumption was positively associated with diabetes.
Collapse
|
72
|
Ultra-processed Foods and Cardiometabolic Health Outcomes: from Evidence to Practice. Curr Atheroscler Rep 2022; 24:849-860. [PMID: 36070170 DOI: 10.1007/s11883-022-01061-3] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/15/2022] [Indexed: 11/03/2022]
Abstract
PURPOSE OF REVIEW Poor diet quality is the leading risk factor related to the overall cardiometabolic disease burden in the USA and globally. We review the current evidence linking ultra-processed foods and cardiometabolic health risk and provide recommendations for action at the clinical and public health levels. RECENT FINDINGS A growing body of evidence conducted in a variety of study populations supports an association between ultra-processed food intake and increased risk of metabolic syndrome, hypertension, type 2 diabetes, overweight and obesity trajectories, and cardiovascular disease. The strongest evidence is observed in relation to weight gain and obesity among adults, as this association is supported by high-quality epidemiological and experimental evidence. Accumulating epidemiologic evidence and putative biological mechanisms link ultra-processed foods to cardiometabolic health outcomes. The high intake of ultra-processed foods in all population groups and its associated risks make ultra-processed foods an ideal target for intensive health promotion messaging and interventions.
Collapse
|
73
|
Li H, Li S, Yang H, Zhang Y, Zhang S, Ma Y, Hou Y, Zhang X, Niu K, Borné Y, Wang Y. Association of Ultraprocessed Food Consumption With Risk of Dementia: A Prospective Cohort Study. Neurology 2022; 99:e1056-e1066. [PMID: 36219796 DOI: 10.1212/wnl.0000000000200871] [Citation(s) in RCA: 30] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2021] [Accepted: 05/05/2022] [Indexed: 11/15/2022] Open
Abstract
BACKGROUND AND OBJECTIVES There has been a growing body of evidence associating consumption of ultraprocessed foods (UPF) with adverse health outcomes including depression, cardiovascular disease, and all-cause mortality. However, whether UPF are associated with dementia is unknown. The authors investigated the associations between UPF and dementia incidence in the UK Biobank. METHODS We included 72,083 participants (55 years or older) who were free from dementia at baseline and provided at least 2 times 24-hour dietary assessments from the UK Biobank study. Follow-up occurred through March 2021. UPF were defined according to the NOVA classification. Incident all-cause dementia comprising Alzheimer disease (AD) and vascular dementia was ascertained through electronic linkages to hospital and mortality records. Cox proportional hazards were used to estimate the association between the proportion (%) of UPF in the diet and the subsequent risk of dementia. In addition, substitution analysis was used to estimate the risk of dementia when substituting UPF with an equivalent proportion of unprocessed or minimally processed foods. RESULTS During a total of 717,333 person-years of follow-up (median 10.0 years), 518 participants developed dementia, of whom 287 developed AD and 119 developed vascular dementia. In the fully adjusted model, consumption of UPF was associated with higher risk of dementia (hazard ratio [HR] for 10% increase in UPF 1.25; 95% CI 1.14-1.37), AD (HR 1.14; 95% CI 1.00-1.30), and vascular dementia (HR 1.28; 95% CI 1.06-1.55), respectively. In addition, replacing 10% of UPF weight in diet with an equivalent proportion of unprocessed or minimally processed foods was estimated to be associated with a 19% lower risk of dementia (HR 0.81; 95% CI 0.74-0.89). DISCUSSION In this prospective cohort study, higher consumption of UPF was associated with higher risk of dementia, whereas substituting unprocessed or minimally processed foods for UPF was associated with lower risk of dementia.
Collapse
Affiliation(s)
- Huiping Li
- From the School of Public Health (H.L., H.Y., Y.Z., S.Z., Y.M., Y.H., X.Z., K.N., Y.W.), Tianjin Medical University; School of Management (S.L.), Tianjin University of Traditional Chinese Medicine; and Department of Clinical Sciences in Malmö (Y.B.), Lund University, Sweden
| | - Shu Li
- From the School of Public Health (H.L., H.Y., Y.Z., S.Z., Y.M., Y.H., X.Z., K.N., Y.W.), Tianjin Medical University; School of Management (S.L.), Tianjin University of Traditional Chinese Medicine; and Department of Clinical Sciences in Malmö (Y.B.), Lund University, Sweden
| | - Hongxi Yang
- From the School of Public Health (H.L., H.Y., Y.Z., S.Z., Y.M., Y.H., X.Z., K.N., Y.W.), Tianjin Medical University; School of Management (S.L.), Tianjin University of Traditional Chinese Medicine; and Department of Clinical Sciences in Malmö (Y.B.), Lund University, Sweden
| | - Yuan Zhang
- From the School of Public Health (H.L., H.Y., Y.Z., S.Z., Y.M., Y.H., X.Z., K.N., Y.W.), Tianjin Medical University; School of Management (S.L.), Tianjin University of Traditional Chinese Medicine; and Department of Clinical Sciences in Malmö (Y.B.), Lund University, Sweden
| | - Shunming Zhang
- From the School of Public Health (H.L., H.Y., Y.Z., S.Z., Y.M., Y.H., X.Z., K.N., Y.W.), Tianjin Medical University; School of Management (S.L.), Tianjin University of Traditional Chinese Medicine; and Department of Clinical Sciences in Malmö (Y.B.), Lund University, Sweden
| | - Yue Ma
- From the School of Public Health (H.L., H.Y., Y.Z., S.Z., Y.M., Y.H., X.Z., K.N., Y.W.), Tianjin Medical University; School of Management (S.L.), Tianjin University of Traditional Chinese Medicine; and Department of Clinical Sciences in Malmö (Y.B.), Lund University, Sweden
| | - Yabing Hou
- From the School of Public Health (H.L., H.Y., Y.Z., S.Z., Y.M., Y.H., X.Z., K.N., Y.W.), Tianjin Medical University; School of Management (S.L.), Tianjin University of Traditional Chinese Medicine; and Department of Clinical Sciences in Malmö (Y.B.), Lund University, Sweden
| | - Xinyu Zhang
- From the School of Public Health (H.L., H.Y., Y.Z., S.Z., Y.M., Y.H., X.Z., K.N., Y.W.), Tianjin Medical University; School of Management (S.L.), Tianjin University of Traditional Chinese Medicine; and Department of Clinical Sciences in Malmö (Y.B.), Lund University, Sweden
| | - Kaijun Niu
- From the School of Public Health (H.L., H.Y., Y.Z., S.Z., Y.M., Y.H., X.Z., K.N., Y.W.), Tianjin Medical University; School of Management (S.L.), Tianjin University of Traditional Chinese Medicine; and Department of Clinical Sciences in Malmö (Y.B.), Lund University, Sweden
| | - Yan Borné
- From the School of Public Health (H.L., H.Y., Y.Z., S.Z., Y.M., Y.H., X.Z., K.N., Y.W.), Tianjin Medical University; School of Management (S.L.), Tianjin University of Traditional Chinese Medicine; and Department of Clinical Sciences in Malmö (Y.B.), Lund University, Sweden
| | - Yaogang Wang
- From the School of Public Health (H.L., H.Y., Y.Z., S.Z., Y.M., Y.H., X.Z., K.N., Y.W.), Tianjin Medical University; School of Management (S.L.), Tianjin University of Traditional Chinese Medicine; and Department of Clinical Sciences in Malmö (Y.B.), Lund University, Sweden.
| |
Collapse
|
74
|
Bonaccio M, Di Castelnuovo A, Ruggiero E, Costanzo S, Grosso G, De Curtis A, Cerletti C, Donati MB, de Gaetano G, Iacoviello L. Joint association of food nutritional profile by Nutri-Score front-of-pack label and ultra-processed food intake with mortality: Moli-sani prospective cohort study. BMJ 2022; 378:e070688. [PMID: 36450651 PMCID: PMC9430377 DOI: 10.1136/bmj-2022-070688] [Citation(s) in RCA: 27] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
OBJECTIVE To jointly analyse two food dimensions, the Food Standards Agency Nutrient Profiling System (FSAm-NPS), used to derive the Nutri-Score front-of-pack label, and the NOVA classification in relation to mortality. DESIGN Prospective cohort study. SETTING Moli-sani Study, Italy 2005-10. PARTICIPANTS 22 895 participants (mean age 55 (SD 12) years; 48% men). MAIN OUTCOMES MEASURES Associations between dietary exposures and mortality risk, assessed using multivariable cause specific Cox proportional hazard models controlled for known risk factors. RESULTS A total of 2205 deaths occurred during 272 960 person years of follow-up. In the highest quarter of the FSAm-NPS index compared with the lowest quarter, multivariable adjusted hazard ratios for all cause and cardiovascular mortality were 1.19 (95% confidence interval 1.04 to 1.35; absolute risk difference 4.3%, 95% confidence interval 1.4% to 7.2%) and 1.32 (1.06 to 1.64; 2.6%, 0.3% to 4.9%), respectively. The hazard ratios were 1.19 (1.05 to 1.36; absolute risk difference 9.7%, 5.0% to 14.3%) and 1.27 (1.02 to 1.58; 5.0%, 1.2% to 8.8%), respectively, for all cause and cardiovascular mortality when the two extreme categories of ultra-processed food intake were compared. When these two indices were analysed jointly, the magnitude of the association of the FSAm-NPS dietary index with all cause and cardiovascular mortality was attenuated by 22.3% and 15.4%, respectively, whereas mortality risks associated with high ultra-processed food intake were not altered. CONCLUSIONS Adults with the lowest quality diet, as measured using the FSAm-NPS dietary index (underpinning the Nutri-Score), and the highest ultra-processed food consumption (NOVA classification) were at the highest risk for all cause and cardiovascular mortality. A significant proportion of the higher mortality risk associated with an elevated intake of nutrient poor foods was explained by a high degree of food processing. In contrast, the relation between a high ultra-processed food intake and mortality was not explained by the poor quality of these foods.
Collapse
Affiliation(s)
- Marialaura Bonaccio
- Department of Epidemiology and Prevention, IRCCS NEUROMED, 86077 Pozzilli (IS), Italy
| | | | - Emilia Ruggiero
- Department of Epidemiology and Prevention, IRCCS NEUROMED, 86077 Pozzilli (IS), Italy
| | - Simona Costanzo
- Department of Epidemiology and Prevention, IRCCS NEUROMED, 86077 Pozzilli (IS), Italy
| | - Giuseppe Grosso
- Department of Biomedical and Biotechnological Sciences, University of Catania, 95123 Catania, Italy
| | - Amalia De Curtis
- Department of Epidemiology and Prevention, IRCCS NEUROMED, 86077 Pozzilli (IS), Italy
| | - Chiara Cerletti
- Department of Epidemiology and Prevention, IRCCS NEUROMED, 86077 Pozzilli (IS), Italy
| | | | - Giovanni de Gaetano
- Department of Epidemiology and Prevention, IRCCS NEUROMED, 86077 Pozzilli (IS), Italy
| | - Licia Iacoviello
- Department of Epidemiology and Prevention, IRCCS NEUROMED, 86077 Pozzilli (IS), Italy
- Department of Medicine and Surgery, Research Center in Epidemiology and Preventive Medicine (EPIMED), University of Insubria, 21100 Varese-Como, Italy
| |
Collapse
|
75
|
Zelber-Sagi S, Grinshpan LS, Ivancovsky-Wajcman D, Goldenshluger A, Gepner Y. One size does not fit all; practical, personal tailoring of the diet to NAFLD patients. Liver Int 2022; 42:1731-1750. [PMID: 35675167 DOI: 10.1111/liv.15335] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Revised: 06/03/2022] [Accepted: 06/06/2022] [Indexed: 02/13/2023]
Abstract
Different dietary regimens for weight loss have developed over the years. Since the most evidenced treatment for non-alcoholic fatty liver disease (NAFLD) is weight reduction, it is not surprising that more diets targeting obesity are also utilized for NAFLD treatment. However, beyond the desired weight loss effects, one should not ignore the dietary composition of each diet, which may not necessarily be healthy or safe over the long term for hepatic and extrahepatic outcomes, especially cardiometabolic outcomes. Some of these diets are rich in saturated fat and red meat, are very strict, and require close medical supervision. Some may also be very difficult to adhere to for long periods, thus reducing the patient's motivation. The evidence for a direct benefit to NAFLD by restrictive diets such as very-low-carb, ketogenic, very-low-calorie diets, and intermittent fasting is scarce, and the long-term safety has not been tested. Nowadays, the approach is that the diet should be tailored to the patient's cultural and personal preferences. There is strong evidence for the independent protective association of NAFLD with a diet based on healthy eating patterns of minimally-processed foods, low in sugar and saturated fat, high in polyphenols, and healthy types of fats. This leads to the conclusion that a Mediterranean diet should serve as a basis that can be restructured into other kinds of diets. This review will elaborate on the different diets and their role in NAFLD. It will provide a practical guide to tailor the diet to the patients without compromising its composition and safety.
Collapse
Affiliation(s)
- Shira Zelber-Sagi
- School of Public Health, Faculty of Social Welfare and Health Sciences, University of Haifa, Haifa, Israel.,Department of Gastroenterology Tel Aviv Medical Center, Tel Aviv, Israel
| | - Laura Sol Grinshpan
- School of Public Health, Faculty of Social Welfare and Health Sciences, University of Haifa, Haifa, Israel.,Department of Gastroenterology Tel Aviv Medical Center, Tel Aviv, Israel
| | - Dana Ivancovsky-Wajcman
- School of Public Health, Faculty of Social Welfare and Health Sciences, University of Haifa, Haifa, Israel.,Department of Gastroenterology Tel Aviv Medical Center, Tel Aviv, Israel
| | - Ariela Goldenshluger
- Department of Epidemiology and Preventive Medicine, School of Public Health, Sackler Faculty of Medicine, and Sylvan Adams Sports Institute, Tel-Aviv University, Tel-Aviv, Israel
| | - Yftach Gepner
- Department of Epidemiology and Preventive Medicine, School of Public Health, Sackler Faculty of Medicine, and Sylvan Adams Sports Institute, Tel-Aviv University, Tel-Aviv, Israel
| |
Collapse
|
76
|
Li J, Glenn AJ, Yang Q, Ding D, Zheng L, Bao W, Beasley J, LeBlanc E, Lo K, Manson JE, Philips L, Tinker L, Liu S. Dietary Protein Sources, Mediating Biomarkers, and Incidence of Type 2 Diabetes: Findings From the Women's Health Initiative and the UK Biobank. Diabetes Care 2022; 45:1742-1753. [PMID: 35713602 PMCID: PMC9346982 DOI: 10.2337/dc22-0368] [Citation(s) in RCA: 31] [Impact Index Per Article: 15.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/21/2022] [Accepted: 05/03/2022] [Indexed: 02/03/2023]
Abstract
OBJECTIVE Whether and how dietary protein intake is linked to type 2 diabetes (T2D) remains unclear. The aim of this study was to investigate the associations of protein intake with development of T2D and the potential mediating roles of T2D biomarkers. RESEARCH DESIGN AND METHODS We included 108,681 postmenopausal women without T2D at baseline from the Women's Health Initiative (WHI) (primary cohort) and 34,616 adults without T2D from the U.K. Biobank (UKB) (replication cohort). Cox proportional hazard models were used for estimation of protein-T2D associations. Mediation analysis was performed to assess the mediating roles of biomarkers in case-control studies nested in the WHI. RESULTS In the WHI, 15,842 incident T2D cases were identified during a median follow-up of 15.8 years. Intake of animal protein was associated with increased T2D risk (hazard ratio in comparing the highest to the lowest quintile = 1.31 [95% CI 1.24-1.37]) and plant protein with decreased risk (0.82 [0.78-0.86]). Intakes of red meat, processed meat, poultry, and eggs were associated with increased T2D risk and whole grains with decreased risk. Findings from the UKB were similar. These findings were materially attenuated after additional adjustment for BMI. Substituting 5% energy from plant protein for animal protein was associated with 21% decreased T2D risk (0.79 [0.74-0.84]), which was mediated by levels of hs-CRP, interleukin-6, leptin, and SHBG. CONCLUSIONS Findings from these two large prospective cohorts support the notion that substituting plant protein for animal protein may decrease T2D risk mainly by reducing obesity-related inflammation.
Collapse
Affiliation(s)
- Jie Li
- Global Health Research Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.,Department of Epidemiology and Center for Global Cardiometabolic Health, School of Public Health, Brown University, Providence, RI
| | - Andrea J Glenn
- Department of Nutritional Sciences, University of Toronto, Toronto, Ontario, Canada.,Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada.,Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Qingling Yang
- Global Health Research Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Ding Ding
- Global Health Research Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Lingling Zheng
- Global Health Research Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Wei Bao
- Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China
| | - Jeannette Beasley
- Division of General Internal Medicine and Clinical Innovation, New York University Langone Health, New York, NY
| | - Erin LeBlanc
- Kaiser Permanente Center for Health Research, Portland, OR
| | - Kenneth Lo
- Department of Applied Biology and Chemical Technology, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong Special Administrative Region, China
| | - JoAnn E Manson
- Brigham and Women's Hospital, Harvard Medical School, and Harvard T.H. Chan School of Public Health, Boston, MA
| | | | - Lesley Tinker
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Simin Liu
- Global Health Research Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.,Department of Epidemiology and Center for Global Cardiometabolic Health, School of Public Health, Brown University, Providence, RI.,Departments of Surgery and Medicine, The Warren Alpert Medical School, Brown University, Providence, RI
| |
Collapse
|
77
|
Parnham JC, Chang K, Rauber F, Levy RB, Millett C, Laverty AA, von Hinke S, Vamos EP. The Ultra-Processed Food Content of School Meals and Packed Lunches in the United Kingdom. Nutrients 2022; 14:2961. [PMID: 35889918 PMCID: PMC9318725 DOI: 10.3390/nu14142961] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2022] [Revised: 06/27/2022] [Accepted: 06/27/2022] [Indexed: 01/27/2023] Open
Abstract
British children have the highest levels of ultra-processed food (UPF) consumption in Europe. Schools are posited as a positive setting for impacting dietary intake, but the level of UPFs consumed in schools is currently unknown. This study determined the UPF content of school food in the UK. We conducted a pooled cross-sectional analysis of primary (4-11 years, n = 1895) and secondary schoolchildren (11-18 years, n = 1408) from the UK's National Diet and Nutrition Survey (2008-2017). Multivariable quantile regression models determined the association between meal-type (school meal or packed lunch) and lunchtime UPF intake (NOVA food classification system). We showed that on average, UPF intake was high in both primary (72.6% total lunch Kcal) and secondary schoolchildren (77.8% total lunch Kcal). Higher UPF intakes were observed in packed lunch consumers, secondary schoolchildren, and those in lower income households. This study highlights the need for a renewed focus on school food. Better guidance and policies that consider levels of industrial processing in food served in schools are needed to ensure the dual benefit of encouraging school meal uptake and equitably improving children's diets.
Collapse
Affiliation(s)
- Jennie C. Parnham
- Public Health Policy Evaluation Unit, School of Public Health, Imperial College London, London W6 8RP, UK; (K.C.); (C.M.); (A.A.L.); (E.P.V.)
| | - Kiara Chang
- Public Health Policy Evaluation Unit, School of Public Health, Imperial College London, London W6 8RP, UK; (K.C.); (C.M.); (A.A.L.); (E.P.V.)
| | - Fernanda Rauber
- Center for Epidemiological Research in Nutrition and Health, University of São Paulo, São Paulo 01246-904, Brazil; (F.R.); (R.B.L.)
- Department of Preventive Medicine, School of Medicine, University of São Paulo, São Paulo 01246-903, Brazil
| | - Renata B. Levy
- Center for Epidemiological Research in Nutrition and Health, University of São Paulo, São Paulo 01246-904, Brazil; (F.R.); (R.B.L.)
- Department of Preventive Medicine, School of Medicine, University of São Paulo, São Paulo 01246-903, Brazil
| | - Christopher Millett
- Public Health Policy Evaluation Unit, School of Public Health, Imperial College London, London W6 8RP, UK; (K.C.); (C.M.); (A.A.L.); (E.P.V.)
- Public Health Research Centre & Comprehensive Health Research Center (CHRC), National School of Public Health, NOVA University of Lisbon, 1600-1500 Lisbon, Portugal
| | - Anthony A. Laverty
- Public Health Policy Evaluation Unit, School of Public Health, Imperial College London, London W6 8RP, UK; (K.C.); (C.M.); (A.A.L.); (E.P.V.)
| | - Stephanie von Hinke
- School of Economics, University of Bristol, Priory Road Complex, Bristol BS8 1TU, UK;
| | - Eszter P. Vamos
- Public Health Policy Evaluation Unit, School of Public Health, Imperial College London, London W6 8RP, UK; (K.C.); (C.M.); (A.A.L.); (E.P.V.)
| |
Collapse
|
78
|
Dufour JF, Anstee QM, Bugianesi E, Harrison S, Loomba R, Paradis V, Tilg H, Wong VWS, Zelber-Sagi S. Current therapies and new developments in NASH. Gut 2022; 71:gutjnl-2021-326874. [PMID: 35710299 PMCID: PMC9484366 DOI: 10.1136/gutjnl-2021-326874] [Citation(s) in RCA: 85] [Impact Index Per Article: 42.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/30/2021] [Accepted: 04/26/2022] [Indexed: 12/13/2022]
Abstract
Non-alcoholic steatohepatitis is becoming the most important aetiology for advanced liver disease. There has been important progress in the field in recent years and the complexity of the pathophysiology of NASH is better understood. Multiple non-invasive circulating and imaging biomarkers have been tested. The importance of lifestyle has been recognised and several drugs are being tested in clinical trials. This review addresses the challenges that healthcare professionals face in the management of NASH patients.
Collapse
Affiliation(s)
| | - Quentin M Anstee
- Translational & Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle Upon Tyne, UK
| | | | - Stephen Harrison
- Pinnacle clinical research, San Antonio, Texas, USA
- Visiting Professor of Hepatology, University of Oxford, Oxford, UK
| | - Rohit Loomba
- Division of Gastroenterology and Epidemiology, University of California at San Diego, La Jolla, California, USA
| | | | - Herbert Tilg
- Department of Internal Medicine I, Gastroenterology, Hepatology, Endocrinology & Metabolism, Medical University Innsbruck, Innsbruck, Austria
| | - Vincent Wai-Sun Wong
- Department of Medicine and Therapeutics, Chinese University of Hong Kong, Hong Kong, Hong Kong
| | - Shira Zelber-Sagi
- School of Public Health, University of Haifa, Haifa, Israel
- Department of Gastroenterology, Tel-Aviv Medical Center, Tel-Aviv, Israel
| |
Collapse
|
79
|
Relationship between Ultra-Processed Food Consumption and Risk of Diabetes Mellitus: A Mini-Review. Nutrients 2022; 14:nu14122366. [PMID: 35745095 PMCID: PMC9228591 DOI: 10.3390/nu14122366] [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: 04/21/2022] [Revised: 06/04/2022] [Accepted: 06/06/2022] [Indexed: 11/17/2022] Open
Abstract
Studying the factors that cause diabetes and conducting clinical trials has become a priority, particularly raising awareness of the dangers of the disease and how to overcome it. Diet habits are one of the most important risks that must be understood and carefully applied to reduce the risk of diabetes. Nowadays, consuming enough home-cooked food has become a challenge, particularly with modern life performance, pushing people to use processed foods. Ultra-processed food (UPF) consumption has grown dramatically over the last few decades worldwide. This growth is accompanied by the increasing prevalence of non-communicable diseases (NCDs) such as cardiovascular diseases, hypertension, and type 2 diabetes. UPFs represent three main health concerns: (i) they are generally high in non-nutritive compounds such as sugars, sodium, and trans fat and low in nutritional compounds such as proteins and fibers, (ii) they contain different types of additives that may cause severe health issues, and (iii) they are presented in packages made of synthetic materials that may also cause undesirable health side-effects. The association between the consumption of UPF and the risk of developing diabetes was discussed in this review. The high consumption of UPF, almost more than 10% of the diet proportion, could increase the risk of developing type 2 diabetes in adult individuals. In addition, UPF may slightly increase the risk of developing gestational diabetes. Further efforts are needed to confirm this association; studies such as randomized clinical trials and prospective cohorts in different populations and settings are highly recommended. Moreover, massive improvement in foods' dietary guidelines to increase the awareness of UPF and their health concerns is highly recommended.
Collapse
|
80
|
Rego RA. Ultra-Processed: The Search of Positioning From the Food Industry Regulatory Authorities. Front Nutr 2022; 9:906561. [PMID: 35734375 PMCID: PMC9207195 DOI: 10.3389/fnut.2022.906561] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Accepted: 05/12/2022] [Indexed: 11/13/2022] Open
Affiliation(s)
- Raul Amaral Rego
- Certificates Programs, Insper Institute of Education and Research, São Paulo, Brazil
| |
Collapse
|
81
|
Abstract
Dramatically increasing trends in consumption of ultra-processed foods have been reported across the globe. Public concern about the health consequences of ultra-processed foods is high. This manuscript provides a comprehensive review of trends in global consumption of ultra-processed foods, dietary nutrient profile of ultra-processed foods, demographic, socioeconomic, psychological, and behavioral characteristics of ultra-processed food consumers, current evidence from longitudinal studies at the population level on the association between ultra-processed foods consumption and major health outcomes (including all-cause and cause-specific mortality, cardiovascular disease, overweight and obesity, body composition and fat deposition, diabetes, cancer, and gastrointestinal and other diseases), potential mechanisms linking ultra-processed foods with these outcomes (nutrient displacement, factors that influence adiposity, and processing), and challenges and future research directions. The global trends in consumption of ultra-processed foods, the generally unfavorable nutrient profile of ultra-processed foods, the characteristics of ultra-processed food consumers, the accumulating longitudinal studies associating ultra-processed foods with major health outcomes, and the uncertainties and complexities in putative mechanisms all highlight the need for future high-quality epidemiologic and mechanistic investigations on this topic. It is critical to interpret findings in the light of the totality of evidence.
Collapse
Affiliation(s)
- Yin Zhang
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Edward L Giovannucci
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, USA
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, USA
| |
Collapse
|
82
|
Fridén M, Kullberg J, Ahlström H, Lind L, Rosqvist F. Intake of Ultra-Processed Food and Ectopic-, Visceral- and Other Fat Depots: A Cross-Sectional Study. Front Nutr 2022; 9:774718. [PMID: 35445063 PMCID: PMC9013765 DOI: 10.3389/fnut.2022.774718] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2021] [Accepted: 03/16/2022] [Indexed: 11/17/2022] Open
Abstract
Introduction The purpose of this study was to investigate associations between intake of ultra-processed food (UPF) and liver fat, pancreas fat and visceral adipose tissue (VAT) but also subcutaneous adipose tissue (SAT), VAT/SAT ratio and total fat mass. Materials and Methods Cross-sectional analysis of n = 286 50-year old men and women. Energy percentage (%E) from UPF was calculated from a semi-quantitative food frequency questionnaire. Food items were categorized according to the NOVA-classification system and fat depots were assessed using magnetic resonance imaging (MRI) and bioelectrical impedance analysis (BIA). Associations were analyzed using linear regression, adjusted for sex, education, physical activity, smoking, dietary factors and BMI. Results Mean intake of UPF was 37.8 ± 10.2 %E and the three largest contributors to this were crisp- and wholegrain breads and spreads, indicating overall healthy food choices. Consumption of UPF was associated with higher intake of energy, carbohydrates and fiber and lower intake of protein and polyunsaturated fat but no differences were observed for total fat, saturated fat (SFA), monounsaturated fat, sugar or alcohol between tertiles of UPF. Intake of UPF was positively associated with liver- and pancreas fat, VAT, VAT/SAT and inversely associated with total fat mass in crude models. The association for VAT remained after full adjustment (β = 0.01 (95% CI: 0.002, 0.02), P = 0.02) and was driven by women. Conclusion Energy intake from UPF is not associated with ectopic fat, SAT or total fat after adjustment for multiple confounders in this population having overall healthy food habits. However, a positive association between UPF and VAT was observed which was driven by women.
Collapse
Affiliation(s)
- Michael Fridén
- Department of Public Health and Caring Sciences, Clinical Nutrition and Metabolism, Uppsala University, Uppsala, Sweden
| | - Joel Kullberg
- Department of Surgical Sciences, Radiology, Uppsala University, Uppsala, Sweden
- Antaros Medical AB, BioVenture Hub, Mölndal, Sweden
| | - Håkan Ahlström
- Department of Surgical Sciences, Radiology, Uppsala University, Uppsala, Sweden
- Antaros Medical AB, BioVenture Hub, Mölndal, Sweden
| | - Lars Lind
- Department of Medical Sciences, Clinical Epidemiology, Uppsala University, Uppsala, Sweden
| | - Fredrik Rosqvist
- Department of Public Health and Caring Sciences, Clinical Nutrition and Metabolism, Uppsala University, Uppsala, Sweden
- *Correspondence: Fredrik Rosqvist
| |
Collapse
|
83
|
Vivi ACP, Azevedo-Silva TR, Neri D, Strufaldi MWL, Lebrão CW, Fonseca FLA, Sarni ROS, Suano-Souza FI. Association between ultra-processed food intake and C-reactive protein levels in preterm and term infants Ultra-processed food intake and inflammation in infants. Nutrition 2022; 99-100:111649. [DOI: 10.1016/j.nut.2022.111649] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2021] [Revised: 02/24/2022] [Accepted: 02/28/2022] [Indexed: 10/18/2022]
|
84
|
Duan MJ, Dekker LH, Carrero JJ, Navis G. Using Structural Equation Modeling to Untangle Pathways of Risk Factors Associated with Incident Type 2 Diabetes: the Lifelines Cohort Study. PREVENTION SCIENCE : THE OFFICIAL JOURNAL OF THE SOCIETY FOR PREVENTION RESEARCH 2022; 23:1090-1100. [PMID: 35230614 PMCID: PMC9489566 DOI: 10.1007/s11121-022-01357-5] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/17/2022] [Indexed: 12/30/2022]
Abstract
Risk factors for type 2 diabetes are multifaceted and interrelated. Unraveling the complex pathways of modifiable risk factors related to incident type 2 diabetes will help prioritize prevention targets. The current analysis extended a previously proposed conceptual model by Bardenheier et al. (Diabetes Care, 36(9), 2655–2662, 2013) on prediabetes with a cross-sectional design. The model described the pathways of four aspects of modifiable risk factors in relation to incident type 2 diabetes, including socioeconomic status (income and education); lifestyle behaviors (diet quality, physical activity, TV watching, smoking, risk drinking, and unhealthy sleep duration); clinical markers (HDL-cholesterol, triglycerides, BMI, and waist circumference); and blood pressure. We performed structural equation modeling to test this conceptual model using a prospective population-based sample of 68,649 participants (35–80 years) from the Lifelines cohort study. During a median follow-up of 41 months, 1124 new cases of type 2 diabetes were identified (incidence 1.6%). The best-fitting model indicated that among all modifiable risk factors included, waist circumference had the biggest direct effect on type 2 diabetes (standardized β-coefficient 0.214), followed by HDL-cholesterol (standardized β-coefficient − 0.134). Less TV watching and more physical activity were found to play an important role in improving clinical markers that were directly associated with type 2 diabetes. Education had the biggest positive effects on all lifestyle behaviors except for unhealthy sleep duration. Our analysis provides evidence to support that structural equation modeling enables a holistic assessment of the interplay of type 2 diabetes risk factors, which not only allows the estimation of their total effects but also prioritization of prevention targets. Regarding the current guideline for diabetes prevention, waist management in addition to BMI control (clinical level), as well as less TV watching in addition to more physical activity (behavioral level), may provide additional public health benefits. Better education would be the main societal goal for the prevention of type 2 diabetes.
Collapse
Affiliation(s)
- Ming-Jie Duan
- Department of Internal Medicine, University Medical Center Groningen, Hanzeplein 1, P.O. Box 30 001, 9700RB, Groningen, The Netherlands.
| | - Louise H Dekker
- Department of Internal Medicine, University Medical Center Groningen, Hanzeplein 1, P.O. Box 30 001, 9700RB, Groningen, The Netherlands.,National Institute for Public Health and the Environment, Bilthoven, The Netherlands
| | - Juan-Jesus Carrero
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Gerjan Navis
- Department of Internal Medicine, University Medical Center Groningen, Hanzeplein 1, P.O. Box 30 001, 9700RB, Groningen, The Netherlands
| |
Collapse
|
85
|
Chronic diseases are first associated with the degradation and artificialization of food matrices rather than with food composition: calorie quality matters more than calorie quantity. Eur J Nutr 2022; 61:2239-2253. [DOI: 10.1007/s00394-021-02786-8] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2021] [Accepted: 12/13/2021] [Indexed: 02/06/2023]
|
86
|
Xu C, Cao Z, Yang H, Hou Y, Wang X, Wang Y. Association Between the EAT-Lancet Diet Pattern and Risk of Type 2 Diabetes: A Prospective Cohort Study. Front Nutr 2022; 8:784018. [PMID: 35096931 PMCID: PMC8795697 DOI: 10.3389/fnut.2021.784018] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2021] [Accepted: 12/01/2021] [Indexed: 12/11/2022] Open
Abstract
Background: The EAT-Lancet Commission has promulgated a sustainable dietary guideline and recommended that it was designed to improve the human health and support environmental sustainability. Objective: This research was designed to explore the association between this healthy diet pattern (EAT-Lancet diet pattern, EAT-LDP) and risk of type 2 diabetes (T2D). Methods: Between 2006 and 2010, a total of 59,849 participants from the UK Biobank without diabetes, cardiovascular disease, or cancers were included at baseline. The EAT-LDP score was constructed on the sum of 14 food components and then categorized into three tertiles. Multivariable Cox proportional hazards regression models were conducted to explore the association between EAT-LDP score and the risk of incident T2D. A mediation analysis was also implemented to disentangle the role of body mass index (BMI) and waist circumference in the relationship between EAT-LDP score and T2D. Results: During a median follow-up of 10 years, 2,461 incident T2D cases were recorded. In analyses that compared tertile 3 of the EAT-LDP score (highest) with tertile 1 (lowest), the hazard ratio (HR) for T2D was 0.81 (95% CI: 0.72–0.90) after adjusting for sociodemographic status and health-related factors. Participants who reported a one-point increase in the diet score were associated with a 6% decrease in risk of T2D (HR: 0.94, 95% CI: 0.91–0.97). A significant indirect association was observed between the EAT-LDP score and T2D (β: 0.66, 95% CI: 0.65–0.67), indicating that 44% of the association of EAT-LDP score with T2D was mediated by BMI. Additionally, 40% of the association of EAT-LDP score with T2D was mediated by waist circumference was also observed. Conclusions: Our findings indicate that a higher adherence to EAT-LDP contributes to lower risk of T2D. Further independent validation is needed to be conducted before applying the EAT-LDP to inform dietary guidelines.
Collapse
Affiliation(s)
- Chenjie Xu
- School of Public Health, Hangzhou Normal University, Hangzhou, China
- School of Public Health, Tianjin Medical University, Tianjin, China
| | - Zhi Cao
- Department of Big Data in Health Science, School of Public Health, Zhejiang University School of Medicine, Hangzhou, China
| | - Hongxi Yang
- Department of Bioinformatics, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, China
| | - Yabing Hou
- School of Public Health, Tianjin Medical University, Tianjin, China
| | - Xiaohe Wang
- School of Public Health, Hangzhou Normal University, Hangzhou, China
- *Correspondence: Xiaohe Wang
| | - Yaogang Wang
- School of Public Health, Tianjin Medical University, Tianjin, China
- Yaogang Wang
| |
Collapse
|
87
|
Duan MJ, Vinke PC, Navis G, Corpeleijn E, Dekker LH. Ultra-processed food and incident type 2 diabetes: studying the underlying consumption patterns to unravel the health effects of this heterogeneous food category in the prospective Lifelines cohort. BMC Med 2022; 20:7. [PMID: 35022060 PMCID: PMC8756643 DOI: 10.1186/s12916-021-02200-4] [Citation(s) in RCA: 28] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/30/2021] [Accepted: 11/25/2021] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND The overall consumption of ultra-processed food (UPF) has previously been associated with type 2 diabetes. However, due to the substantial heterogeneity of this food category, in terms of their nutritional composition and product type, it remains unclear whether previous results apply to all underlying consumption patterns of UPF. METHODS Of 70,421 participants (35-70 years, 58.6% women) from the Lifelines cohort study, dietary intake was assessed with a food frequency questionnaire. UPF was identified according to the NOVA classification. Principal component analysis (PCA) was performed to derive UPF consumption patterns. The associations of UPF and adherence to UPF consumption patterns with incidence of type 2 diabetes were studied with logistic regression analyses adjusted for age, sex, diet quality, energy intake, alcohol intake, physical activity, TV watching time, smoking status, and educational level. RESULTS During a median follow-up of 41 months, a 10% increment in UPF consumption was associated with a 25% higher risk of developing type 2 diabetes (1128 cases; OR 1.25 [95% CI 1.16, 1.34]). PCA revealed four habitual UPF consumption patterns. A pattern high in cold savory snacks (OR 1.16 [95% CI 1.09, 1.22]) and a pattern high in warm savory snacks (OR 1.15 [95% CI 1.08, 1.21]) were associated with an increased risk of incident type 2 diabetes; a pattern high in traditional Dutch cuisine was not associated with type 2 diabetes incidence (OR 1.05 [95% CI 0.97, 1.14]), while a pattern high in sweet snacks and pastries was inversely associated with type 2 diabetes incidence (OR 0.82 [95% CI 0.76, 0.89]). CONCLUSIONS The heterogeneity of UPF as a general food category is reflected by the discrepancy in associations between four distinct UPF consumption patterns and incident type 2 diabetes. For better public health prevention, research is encouraged to further clarify how different UPF consumption patterns are related to type 2 diabetes.
Collapse
Affiliation(s)
- Ming-Jie Duan
- Department of Internal Medicine, Division Nephrology (AA52), University Medical Center Groningen, P.O. Box 30 001, 9700RB, Groningen, The Netherlands.
| | - Petra C Vinke
- Department of Epidemiology (FA40), University Medical Center Groningen, P.O. Box 30 001, 9700RB, Groningen, The Netherlands
| | - Gerjan Navis
- Department of Internal Medicine, Division Nephrology (AA52), University Medical Center Groningen, P.O. Box 30 001, 9700RB, Groningen, The Netherlands
| | - Eva Corpeleijn
- Department of Epidemiology (FA40), University Medical Center Groningen, P.O. Box 30 001, 9700RB, Groningen, The Netherlands
| | - Louise H Dekker
- Department of Internal Medicine, Division Nephrology (AA52), University Medical Center Groningen, P.O. Box 30 001, 9700RB, Groningen, The Netherlands.,Aletta Jacobs School of Public Health, University of Groningen, P.O. Box 716, 9712GH, Groningen, The Netherlands
| |
Collapse
|
88
|
ANGOTTI AA, ZANGIROLANI LTO. Food insecurity and financial aid among university students: Pre-Covid-19 scenario of a public university in southeastern Brazil. REV NUTR 2022. [DOI: 10.1590/1678-9865202235e220061] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
ABSTRACT: Objective: To estimate the prevalence of food insecurity among beneficiary and non-beneficiary university students of financial aid and associated factors. Methods: A cross-sectional study, with a probabilistic sample of 100 university students, was conducted at a federal university located on the coastal city of São Paulo in southeastern Brazil. The data made it possible to address sociodemographic aspects, food security and food quality markers. Data analysis involved descriptive statistics, Fisher’s exact association test and Mann-Whitney comparisons of means were used to investigate the prevalence of food insecurity between groups and associations with covariables at 5%. Results: The results revealed significant differences between groups. Receiving financial aid was associated with more vulnerability to facing food insecurity: 94% have some level of food insecurity (p=0.001); non-white skin color (p=0.019); overseeing one’s own income (p=0.001); the amount of money available to stay at the university (p=0.030). According to food quality markers, both groups often consumed ultra-processed foods (unhealthy quality marker). In contrast, most (92.3%) were concerned with consuming healthy foods. Conclusion: The pre-Covid-19 scenario reveals that despite receiving financial aid, a large part of students faced food insecurity in the three months prior to the study. Therefore, food insecurity should be recognized as a public health concern among university students, and adequate resources should be made available to avoid the occurrence of dropouts and assist in breaking the intergenerational cycle of social exclusion and the human right to food.
Collapse
|
89
|
Ultra-Processed Food Consumption and Adult Mortality Risk: A Systematic Review and Dose-Response Meta-Analysis of 207,291 Participants. Nutrients 2021; 14:nu14010174. [PMID: 35011048 PMCID: PMC8747520 DOI: 10.3390/nu14010174] [Citation(s) in RCA: 69] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2021] [Revised: 12/22/2021] [Accepted: 12/28/2021] [Indexed: 02/07/2023] Open
Abstract
We performed a systematic review and dose-response meta-analysis of observational studies assessing the association between UPF consumption and adult mortality risk. A systematic search was conducted using ISI Web of Science, PubMed/MEDLINE, and Scopus electronic databases from inception to August 2021. Data were extracted from seven cohort studies (totaling 207,291 adults from four countries). Using a random-effects model, hazard ratios (HR) of pooled outcomes were estimated. Our results showed that UPF consumption was related to an enhanced risk of all-cause mortality (HR = 1.21; 95% CI: 1.13, 1.30; I2 = 21.9%; p < 0.001), cardiovascular diseases (CVDs)-cause mortality (HR = 1.50; 95% CI: 1.37, 1.63; I2 = 0.0%; p < 0.001), and heart-cause mortality (HR = 1.66; 95% CI: 1.50, 1.85; I2 = 0.0%; p = 0.022), but not cancer-cause mortality. Furthermore, our findings revealed that each 10% increase in UPF consumption in daily calorie intake was associated with a 15% higher risk of all-cause mortality (OR = 1.15; 95% CI: 1.09, 1.21; I2 = 0.0%; p < 0.001). The dose-response analysis revealed a positive linear association between UPF consumption and all-cause mortality (Pnonlinearity = 0.879, Pdose-response = p < 0.001), CVDs-cause mortality (Pnonlinearity = 0.868, Pdose-response = p < 0.001), and heart-cause mortality (Pnonlinearity = 0.774, Pdose-response = p < 0.001). It seems that higher consumption of UPF is significantly associated with an enhanced risk of adult mortality. Despite this, further experimental studies are necessary to draw a more definite conclusion.
Collapse
|
90
|
Dicken SJ, Batterham RL. The Role of Diet Quality in Mediating the Association between Ultra-Processed Food Intake, Obesity and Health-Related Outcomes: A Review of Prospective Cohort Studies. Nutrients 2021; 14:23. [PMID: 35010898 PMCID: PMC8747015 DOI: 10.3390/nu14010023] [Citation(s) in RCA: 98] [Impact Index Per Article: 32.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Revised: 12/14/2021] [Accepted: 12/16/2021] [Indexed: 12/11/2022] Open
Abstract
Prospective cohort studies show that higher intakes of ultra-processed food (UPF) increase the risk of obesity and obesity-related outcomes, including cardiovascular disease, cancer and type 2 diabetes. Whether ultra-processing itself is detrimental, or whether UPFs just have a lower nutritional quality, is debated. Higher UPF intakes are inversely associated with fruit, vegetables, legumes and seafood consumption. Therefore, the association between UPFs and poor health could simply be from excess nutrient intake or from a less healthful dietary pattern. If so, adjustment for dietary quality or pattern should explain or greatly reduce the size of the significant associations between UPFs and health-related outcomes. Here, we provide an overview of the literature and by using a novel approach, review the relative impact of adjusting for diet quality/patterns on the reported associations between UPF intake and health-related outcomes in prospective cohort studies. We find that the majority of the associations between UPFs, obesity and health-related outcomes remain significant and unchanged in magnitude after adjustment for diet quality or pattern. Our findings suggest that the adverse consequences of UPFs are independent of dietary quality or pattern, questioning the utility of reformulation to mitigate against the obesity pandemic and wider negative health outcomes of UPFs.
Collapse
Affiliation(s)
- Samuel J. Dicken
- Centre for Obesity Research, Department of Medicine, University College London (UCL), London WC1E 6JF, UK;
| | - Rachel L. Batterham
- Centre for Obesity Research, Department of Medicine, University College London (UCL), London WC1E 6JF, UK;
- Bariatric Centre for Weight Management and Metabolic Surgery, University College London Hospital (UCLH), London NW1 2BU, UK
- National Institute for Health Research, Biomedical Research Centre, University College London Hospital (UCLH), London W1T 7DN, UK
| |
Collapse
|
91
|
Delpino FM, Figueiredo LM, Bielemann RM, da Silva BGC, Dos Santos FS, Mintem GC, Flores TR, Arcêncio RA, Nunes BP. Ultra-processed food and risk of type 2 diabetes: a systematic review and meta-analysis of longitudinal studies. Int J Epidemiol 2021; 51:1120-1141. [PMID: 34904160 DOI: 10.1093/ije/dyab247] [Citation(s) in RCA: 53] [Impact Index Per Article: 17.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2021] [Accepted: 10/26/2021] [Indexed: 01/22/2023] Open
Abstract
BACKGROUND The consumption of some food groups is associated with the risk of diabetes. However, there is no evidence from meta-analysis which evaluates the consumption of ultra-processed products in the risk of diabetes. This study aimed to review the literature assessing longitudinally the association between consumption of ultra-processed food and the risk of type 2 diabetes and to quantify this risk through a meta-analysis. METHODS We conducted a systematic review and meta-analysis with records from PubMed, Latin American and Caribbean Literature in Health Sciences (LILACS), Scielo, Scopus, Embase, and Web of Science. We included longitudinal studies assessing ultra-processed foods and the risk of type 2 diabetes. The review process was conducted independently by two reviewers. The Newcastle Ottawa scale assessed the quality of the studies. A meta-analysis was conducted to assess the effect of moderate and high consumption of ultra-processed food on the risk of diabetes. RESULTS In total 2272 records were screened, of which 18 studies, including almost 1.1 million individuals, were included in this review and 72% showed a positive association between ultra-processed foods and the risk of diabetes. According to the studies included in the meta-analysis, compared with non-consumption, moderate intake of ultra-processed food increased the risk of diabetes by 12% [relative risk (RR): 1.12; 95% confidence interval (CI): 1.06-1.17, I2 = 24%], whereas high intake increased risk by 31% (RR: 1.31; 95% CI: 1.21-1.42, I2 = 60%). CONCLUSIONS The consumption of ultra-processed foods increased the risk for type 2 diabetes as dose-response effect, with moderate to high credibility of evidence.
Collapse
Affiliation(s)
- Felipe Mendes Delpino
- Postgraduate Program in Nursing, Federal University of Pelotas, Pelotas, Rio Grande do Sul, Brazil.,Postgraduate Program in Public Health Nursing, University of São Paulo, Ribeirão Preto, Brazil
| | | | - Renata Moraes Bielemann
- Postgraduate Program in Nutrition and Food, Faculty of Nutrition, Federal University of Pelotas, Pelotas, Brazil
| | | | - Francine Silva Dos Santos
- Department of Nutrition, School of Public Health, University of São Paulo, São Paulo, Brazil.,Center for Epidemiological Research in Nutrition and Health, University of São Paulo, São Paulo, Brazil
| | - Gicele Costa Mintem
- Postgraduate Program in Nutrition and Food, Faculty of Nutrition, Federal University of Pelotas, Pelotas, Brazil
| | - Thaynã Ramos Flores
- Postgraduate Program in Epidemiology, Federal University of Pelotas, Pelotas, Brazil
| | | | - Bruno Pereira Nunes
- Postgraduate Program in Nursing, Federal University of Pelotas, Pelotas, Rio Grande do Sul, Brazil.,Faculty of Nursing, Federal University of Pelotas, Pelotas, Rio Grande do Sul, Brazil
| |
Collapse
|
92
|
Moradi S, Hojjati Kermani MA, Bagheri R, Mohammadi H, Jayedi A, Lane MM, Asbaghi O, Mehrabani S, Suzuki K. Ultra-Processed Food Consumption and Adult Diabetes Risk: A Systematic Review and Dose-Response Meta-Analysis. Nutrients 2021; 13:nu13124410. [PMID: 34959961 PMCID: PMC8705763 DOI: 10.3390/nu13124410] [Citation(s) in RCA: 45] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2021] [Revised: 12/02/2021] [Accepted: 12/07/2021] [Indexed: 01/06/2023] Open
Abstract
(1) Background: Recent individual studies have demonstrated that consumption of ultra-processed food (UPF) may be related to type two diabetes mellitus (T2DM). We aimed to synthesize the results from these individual studies by conducting an updated systematic review and meta-analysis of observational studies evaluating the association between UPF consumption and the risk of T2DM. (2) Methods: A systematic search was conducted using ISI Web of Science, PubMed/MEDLINE and Scopus electronic databases from inception up to August 2021. Data were extracted from five studies (one cross-sectional study and four cohort studies, totaling 230,526 adults from four different countries). Risk ratios (RR) of pooled results were estimated using a random-effects model. (3) Results: Our results revealed that higher UPF consumption was significantly associated with an increased risk of T2DM (RR = 1.74; 95% CI: 1.36, 2.22; I2 = 68.9%; p < 0.001; n = 5). Linear dose-response analysis indicated that each 10% increase in UPF consumption (kcal/d) was associated with a 15% higher risk of T2DM (RR = 1.15; 95% CI: 1.06, 1.26; I2 = 86.0%; p < 0.001; n = 5) among adults. Non-linear dose-response analysis demonstrated a positive linear association between UPF consumption and T2DM (pnonlinearity = 0.13, pdose-response < 0.001; n = 5) among adults. (4) Conclusions: A higher intake of UPF was significantly associated with an increased risk of T2DM. However, underlying mechanisms remain unknown and future experimental studies are warranted.
Collapse
Affiliation(s)
- Sajjad Moradi
- Halal Research Center of IRI, FDA, Tehran 314715311, Iran;
- Nutritional Sciences Department, School of Nutritional Sciences and Food Technology, Kermanshah University of Medical Sciences, Kermanshah 6715847141, Iran
| | - Mohammad ali Hojjati Kermani
- Clinical Tuberculosis and Epidemiology Research Center, National Research Institute of Tuberculosis and Lung Diseases (NRITLD), Masih Daneshvari Hospital, Shahid Beheshti University of Medical Sciences, Tehran 14167-53955, Iran;
| | - Reza Bagheri
- Department of Exercise Physiology, University of Isfahan, Isfahan 81746-73441, Iran;
| | - Hamed Mohammadi
- Department of Clinical Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran 14176-13151, Iran;
| | - Ahmad Jayedi
- Department of Community Nutrition, School of Nutritional Science and Dietetics, Tehran University of Medical Sciences, Tehran 14176-13151, Iran;
| | - Melissa M. Lane
- IMPACT (The Institute for Mental and Physical Health and Clinical Translation), Food & Mood Centre, School of Medicine, Barwon Health, Deakin University, Geelong, VIC 3217, Australia;
| | - Omid Asbaghi
- Cancer Research Center, Shahid Beheshti University of Medical Sciences, Tehran 14167-53955, Iran;
| | - Sanaz Mehrabani
- Department of Clinical Nutrition, School of Nutrition and Food Science, Isfahan University of Medical Sciences, Isfahan 81746-73461, Iran
- Correspondence: (S.M.); (K.S.)
| | - Katsuhiko Suzuki
- Faculty of Sport Sciences, Waseda University, 2-579-15 Mikajima, Tokorozawa 359-1192, Japan
- Correspondence: (S.M.); (K.S.)
| |
Collapse
|
93
|
Ruggiero E, Esposito S, Costanzo S, Di Castelnuovo A, Cerletti C, Donati MB, de Gaetano G, Iacoviello L, Bonaccio M. Ultra-processed food consumption and its correlates among Italian children, adolescents and adults from the Italian Nutrition & Health Survey (INHES) cohort study. Public Health Nutr 2021; 24:6258-6271. [PMID: 34289922 PMCID: PMC11148574 DOI: 10.1017/s1368980021002767] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
OBJECTIVE To assess ultra-processed food (UPF) consumption and its socio-demographic, psychosocial and behavioural correlates in a general population of Italian children, adolescents and adults. DESIGN Cross-sectional telephone-based survey. SETTING Italy, 2010-2013. PARTICIPANTS In total, 9078 participants (5-97 years) from the Italian Nutrition & Health Survey. Dietary intakes were collected by a 1-d 24-h dietary recall. UPF was defined by the NOVA classification and expressed as percentage of total energies. RESULTS Average energy intake from UPF (95 % CI) was 17·3 % (17·1 %, 17·6 %) among adults and 25·9 % (24·8 %, 27·0 %) in children/adolescents. Top sources of UPF were processed meats (32·5 %) and bread substitutes (16·7 %). Among adults, age (β = -3·10; 95 % CI (-4·40, -1·80) for >65 years v. 20-40 years; βs are dimensionless) and residing in Southern Italy (β = -0·73; 95 % CI (-1·32, -0·14) v. Northern) inversely associated with UPF. Screen view during meals was directly linked to UPF, as well as poor self-rated health (β = 5·32; 95 % CI (2·66, 7·99)), adverse life events (β = 2·33; 95 % CI (1·48, 3·18)) and low sleep quality (β = 2·34; 95 % CI (1·45, 3·23)). Boys consumed two-point percent more UPF of the total energy than girls (β = 2·01; 95 % CI (0·20, 3·82)). For all ages, a Mediterranean diet was inversely associated with UPF (β = -4·86; 95 % CI (-5·53, -4·20) for good v. poor adherence in adults and (β = -5·08; 95 % CI (-8·38, -1·77) for kids). CONCLUSIONS UPF contributes a modest proportion of energy to the diets of Italian adults while being one-quarter of the total energies in children/adolescents. UPF was associated with several psychosocial factors and eating behaviours. Increased adherence to Mediterranean diet would possibly result in lower UPF consumption.
Collapse
Affiliation(s)
- Emilia Ruggiero
- Department of Epidemiology and Prevention, IRCCS NEUROMED, Via dell'Elettronica, 86077 Pozzilli (IS), Italy
| | - Simona Esposito
- Department of Epidemiology and Prevention, IRCCS NEUROMED, Via dell'Elettronica, 86077 Pozzilli (IS), Italy
| | - Simona Costanzo
- Department of Epidemiology and Prevention, IRCCS NEUROMED, Via dell'Elettronica, 86077 Pozzilli (IS), Italy
| | | | - Chiara Cerletti
- Department of Epidemiology and Prevention, IRCCS NEUROMED, Via dell'Elettronica, 86077 Pozzilli (IS), Italy
| | - Maria Benedetta Donati
- Department of Epidemiology and Prevention, IRCCS NEUROMED, Via dell'Elettronica, 86077 Pozzilli (IS), Italy
| | - Giovanni de Gaetano
- Department of Epidemiology and Prevention, IRCCS NEUROMED, Via dell'Elettronica, 86077 Pozzilli (IS), Italy
| | - Licia Iacoviello
- Department of Epidemiology and Prevention, IRCCS NEUROMED, Via dell'Elettronica, 86077 Pozzilli (IS), Italy
- Department of Medicine and Surgery, Research Center in Epidemiology and Preventive Medicine (EPIMED), University of Insubria, Varese-Como, Italy
| | - Marialaura Bonaccio
- Department of Epidemiology and Prevention, IRCCS NEUROMED, Via dell'Elettronica, 86077 Pozzilli (IS), Italy
| |
Collapse
|
94
|
Schmidt E, Fang P. Papua New Guinea agri-food trade and household consumption trends point towards dietary change and increased overweight and obesity prevalence. Global Health 2021; 17:135. [PMID: 34838072 PMCID: PMC8626949 DOI: 10.1186/s12992-021-00787-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2021] [Accepted: 11/10/2021] [Indexed: 11/17/2022] Open
Abstract
Background Papua New Guinea (PNG) experienced positive GDP growth at approximately 4.3% per year during the last decade. With increases in overall wealth within the country, PNG is facing a double burden of malnutrition: comparatively high child stunting rates and a growing overweight and obesity epidemic. We focus on the latter by evaluating trends in agri-food import data from 2001 to 2018 and household consumption data from 2018 and 2009/10. Results The analysis presented in this paper raises three red flags. First, international food import data suggest that the demand for ultra-processed, sugar-sweetened beverages and food have increased substantially over time in PNG. Sugar-sweetened beverages dominated the largest growth in processed food imports, increasing by 23% per capita per year between 2001 and 2018. Second, households across the country with a greater food expenditure on sugar-sweetened beverages have a higher probability of an overweight child (under 5 years old). Last, the probability of soft-drink consumption in PNG increases with greater income acquisition and improved market access. While the price of a soft drink is negatively correlated with the quantity consumed, analysis suggests that total household income has a quantitatively larger (and positive) association with soft drink consumption. Conclusions Taxing (or increasing taxes on) sugar-sweetened beverages may not be a sufficient policy mechanism to curb overconsumption of soft drinks in PNG. Education and advocacy programs should be fostered that integrate improved dietary information on packaging, as well as greater access to and understanding of nutrition and diet information of common household consumption items. While increases in household income and market access are crucial to economic growth and transformation, PNG’s economic transition must be dovetailed with programs that expand and enhance health and nutrition information and education to improve household consumption decisions and overall household wellbeing. Supplementary Information The online version contains supplementary material available at 10.1186/s12992-021-00787-0.
Collapse
Affiliation(s)
- Emily Schmidt
- Development Strategy and Governance Division of the International Food Policy Research Institute (IFPRI), 1201 Eye St. NW, Washington, DC, 20005, USA.
| | - Peixun Fang
- Development Strategy and Governance Division of the International Food Policy Research Institute (IFPRI), 1201 Eye St. NW, Washington, DC, 20005, USA
| |
Collapse
|
95
|
Capozzi F, Magkos F, Fava F, Milani GP, Agostoni C, Astrup A, Saguy IS. A Multidisciplinary Perspective of Ultra-Processed Foods and Associated Food Processing Technologies: A View of the Sustainable Road Ahead. Nutrients 2021; 13:3948. [PMID: 34836203 PMCID: PMC8619086 DOI: 10.3390/nu13113948] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2021] [Revised: 10/29/2021] [Accepted: 11/02/2021] [Indexed: 12/15/2022] Open
Abstract
Ultra-processed foods (UPFs) are negatively perceived by part of the scientific community, the public, and policymakers alike, to the extent they are sometimes referred to as not "real food". Many observational surveys have linked consumption of UPFs to adverse health outcomes. This narrative synthesis and scientific reappraisal of available evidence aims to: (i) critically evaluate UPF-related scientific literature on diet and disease and identify possible research gaps or biases in the interpretation of data; (ii) emphasize the innovative potential of various processing technologies that can lead to modifications of the food matrix with beneficial health effects; (iii) highlight the possible links between processing, sustainability and circular economy through the valorisation of by-products; and (iv) delineate the conceptual parameters of new paradigms in food evaluation and classification systems. Although greater consumption of UPFs has been associated with obesity, unfavorable cardiometabolic risk factor profiles, and increased risk for non-communicable diseases, whether specific food processing techniques leading to ultra-processed formulations are responsible for the observed links between UPFs and various health outcomes remains elusive and far from being understood. Evolving technologies can be used in the context of sustainable valorisation of food processing by-products to create novel, low-cost UPFs with improved nutritional value and health potential. New paradigms of food evaluation and assessment should be funded and developed on several novel pillars-enginomics, signalling, and precision nutrition-taking advantage of available digital technologies and artificial intelligence. Research is needed to generate required scientific knowledge to either expand the current or create new food evaluation and classification systems, incorporating processing aspects that may have a significant impact on health and wellness, together with factors related to the personalization of foods and diets, while not neglecting recycling and sustainability aspects. The complexity and the predicted immense size of these tasks calls for open innovation mentality and a new mindset promoting multidisciplinary collaborations and partnerships between academia and industry.
Collapse
Affiliation(s)
- Francesco Capozzi
- Department of Agricultural and Food Sciences DISTAL, Alma Mater Studiorum University of Bologna, 47521 Cesena, Italy;
- Interdepartmental Centre for Industrial Agrofood Research—CIRI Agrofood, Alma Mater Studiorum University of Bologna, 47521 Cesena, Italy
| | - Faidon Magkos
- Department of Nutrition, Exercise and Sport (NEXS), University of Copenhagen, 2200 Copenhagen, Denmark;
| | - Fabio Fava
- Department of Civil, Chemical, Environmental, and Materials Engineering, Alma Mater Studiorum University of Bologna, 40126 Bologna, Italy;
| | - Gregorio Paolo Milani
- Pediatric Unit, Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, Via della Commenda 9, 20122 Milan, Italy;
- Department of Clinical Science and Community Health Università degli Studi di Milano, 20122 Milan, Italy
| | - Carlo Agostoni
- Pediatric Unit, Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, Via della Commenda 9, 20122 Milan, Italy;
- Department of Clinical Science and Community Health Università degli Studi di Milano, 20122 Milan, Italy
| | - Arne Astrup
- Novo Nordisk Foundation, 2900 Hellerup, Denmark;
| | - Israel Sam Saguy
- Robert H. Smith Faculty of Agriculture, Food & Environment, The Hebrew University of Jerusalem, Jerusalem 91905, Israel;
| |
Collapse
|
96
|
Mohamed Elfadil O, Patel J, Patel I, Ewy MW, Hurt RT, Mundi MS. Processed Foods - Getting Back to The Basics. Curr Gastroenterol Rep 2021; 23:20. [PMID: 34643777 DOI: 10.1007/s11894-021-00828-z] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/28/2021] [Indexed: 06/13/2023]
Abstract
PURPOSE OF REVIEW Real-world data suggested that more than half of daily energy intake is coming from processed and ultra-processed foods in most western countries. This high consumption of processed foods is of concern, given laboratory and epidemiological studies' findings that prove overwhelming harms of processed foods on human health. RECENT FINDINGS Data demonstrate that consumption of processed foods is increasing with more reports linking ultra-processed foods to various medical conditions; namely, obesity, metabolic syndrome, atherosclerotic cardiovascular diseases, and certain types of cancer. Scientific community's understanding of the mechanisms and substances by which processed foods are affecting human health is expanding. Holistic approach to the current critical situation is advisable and requires collaborative public health strategies. The current review describes recent classification of processed foods and highlights the pertinent findings in the relationship between processed foods and health. It also outlines key clinical data relevant to the topic.
Collapse
Affiliation(s)
- Osman Mohamed Elfadil
- Division of Endocrinology, Diabetes, Metabolism and Nutrition, Mayo Clinic, 200 First St SW, Rochester, MN, 55905, USA
| | - Jalpan Patel
- Division of Endocrinology, Diabetes, Metabolism and Nutrition, Mayo Clinic, 200 First St SW, Rochester, MN, 55905, USA
| | - Ishani Patel
- Division of Endocrinology, Diabetes, Metabolism and Nutrition, Mayo Clinic, 200 First St SW, Rochester, MN, 55905, USA
| | - Matthew W Ewy
- Division of Internal Medicine, Mayo Clinic, Rochester, MN, USA
| | - Ryan T Hurt
- Division of Endocrinology, Diabetes, Metabolism and Nutrition, Mayo Clinic, 200 First St SW, Rochester, MN, 55905, USA
- Division of Internal Medicine, Mayo Clinic, Rochester, MN, USA
- Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN, USA
| | - Manpreet S Mundi
- Division of Endocrinology, Diabetes, Metabolism and Nutrition, Mayo Clinic, 200 First St SW, Rochester, MN, 55905, USA.
| |
Collapse
|
97
|
Meadows AD, Swanson SA, Galligan TM, Naidenko OV, O’Connell N, Perrone-Gray S, Leiba NS. Packaged Foods Labeled as Organic Have a More Healthful Profile Than Their Conventional Counterparts, According to Analysis of Products Sold in the U.S. in 2019-2020. Nutrients 2021; 13:3020. [PMID: 34578899 PMCID: PMC8469099 DOI: 10.3390/nu13093020] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2021] [Revised: 08/25/2021] [Accepted: 08/27/2021] [Indexed: 11/16/2022] Open
Abstract
The organic food market's recent rapid global growth reflects the public's interest in buying certified organic foods, including packaged products. Our analysis shows that packaged foods containing fewer ingredients associated with negative public health outcomes are more likely to be labeled organic. Previous studies comparing organic and conventional foods focused primarily on nutrient composition. We expanded this research by additionally examining ingredient characteristics, including processing and functional use. Our dataset included nutrition and ingredient data for 8240 organic and 72,205 conventional food products sold in the U.S. from 2019 to 2020. Compared to conventional foods, organic foods in this dataset had lower total sugar, added sugar, saturated fat and sodium content. Using a mixed effects logistic regression, we found that likelihood of classification as organic increased as sodium content, added sugar content and the number of ultra-processed ingredients and cosmetic additives on the product label decreased. Products containing no trans-fat ingredients were more likely to be labeled organic. A product was more likely to be classified "organic" the more potassium it contained. These features of organic foods sold in the U.S. are significant because lower dietary ingestion of ultra-processed foods, added sugar, sodium and trans-fats is associated with improved public health outcomes.
Collapse
Affiliation(s)
- Aurora Dawn Meadows
- Environmental Working Group, Washington, DC 20009, USA; (S.A.S.); (T.M.G.); (O.V.N.)
| | - Sydney A. Swanson
- Environmental Working Group, Washington, DC 20009, USA; (S.A.S.); (T.M.G.); (O.V.N.)
| | - Thomas M. Galligan
- Environmental Working Group, Washington, DC 20009, USA; (S.A.S.); (T.M.G.); (O.V.N.)
| | - Olga V. Naidenko
- Environmental Working Group, Washington, DC 20009, USA; (S.A.S.); (T.M.G.); (O.V.N.)
| | - Nathaniel O’Connell
- Department of Biostatistics and Data Science, Division of Public Health Sciences, Wake Forest School of Medicine, Wake Forest University, Winston-Salem, NC 27109, USA;
| | | | | |
Collapse
|
98
|
Martínez Leo EE, Peñafiel AM, Hernández Escalante VM, Cabrera Araujo ZM. Ultra-processed diet, systemic oxidative stress, and breach of immunologic tolerance. Nutrition 2021; 91-92:111419. [PMID: 34399404 DOI: 10.1016/j.nut.2021.111419] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2021] [Revised: 06/24/2021] [Accepted: 07/13/2021] [Indexed: 12/28/2022]
Abstract
In recent years, consumption of ultra-processed food around the world has been increasing. The nutritional profile of an ultra-processed diet is associated with the development of cellular alterations that lead to oxidative stress. The chronic prooxidative state leads to an environment that influences the proliferation, apoptosis, and signaling pathways of immune cells. Likewise, the decrease in the transcription factor NRF2, owing to exacerbated production of reactive oxygen species, leads to changes in immune function and response to infections. This review aims to analyze the connection between an ultra-processed diet, systemic oxidative stress, and immune tolerance, as a contribution to the scientific evidence on the impact of oxidative stress on health and the possible risk of infections-an important consideration in the association of eating pattern and the immune response.
Collapse
Affiliation(s)
- Edwin E Martínez Leo
- Research Department, University Latino, Merida, Mexico; School of Medicine, Autonomous University of Yucatan, Merida, Mexico.
| | | | | | | |
Collapse
|
99
|
Pre-Gestational Consumption of Ultra-Processed Foods and Risk of Gestational Diabetes in a Mediterranean Cohort. The SUN Project. Nutrients 2021; 13:nu13072202. [PMID: 34206854 PMCID: PMC8308322 DOI: 10.3390/nu13072202] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2021] [Revised: 06/04/2021] [Accepted: 06/22/2021] [Indexed: 12/18/2022] Open
Abstract
We aimed to investigate the relationship between the pre-gestational consumption of ultra-processed foods (UPF) and the risk of gestational diabetes (GDM). We carried out a prospective study among 3730 Spanish women of the SUN cohort who reported at least one pregnancy after baseline recruitment. Cases of GDM were identified among women with a confirmed diagnosis of GDM. UPF consumption was assessed through a validated, semi-quantitative food frequency questionnaire and the frequency of UPF consumption was categorized in tertiles. We identified 186 cases of GDM. In the pooled sample, we did not observe a significant association of UPF with the risk of GDM. When we stratified by age, the multivariate OR for the third tertile of UPF consumption compared with the lowest one was 2.05 (95% CI 1.03, 4.07) in women aged ≥30 years at baseline (Ptrend = 0.041). The association remained significant in a sensitivity analysis after changing many of our assumptions and adjusting for additional confounders. No association between a higher UPF consumption and GDM risk was observed in women aged 18–29 years. The pre-gestational UPF consumption may be a risk factor for GDM, especially in women aged 30 years or more. Confirmatory studies are needed to validate these findings.
Collapse
|
100
|
Llavero-Valero M, Escalada-San Martín J, Martínez-González MA, Basterra-Gortari FJ, de la Fuente-Arrillaga C, Bes-Rastrollo M. Ultra-processed foods and type-2 diabetes risk in the SUN project: A prospective cohort study. Clin Nutr 2021; 40:2817-2824. [PMID: 33933748 DOI: 10.1016/j.clnu.2021.03.039] [Citation(s) in RCA: 52] [Impact Index Per Article: 17.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2020] [Revised: 03/14/2021] [Accepted: 03/30/2021] [Indexed: 12/18/2022]
Abstract
BACKGROUND & AIM The association between ultra-processed foods (UPF) consumption and the risk of type 2 diabetes (T2D) has not been much explored. We aimed to evaluate the association between consumption of UPF and the incidence of T2D. METHODS We assessed 20,060 participants (61.5% women) from the SUN project (Seguimiento Universidad de Navarra) followed-up every two years (median follow-up 12 years). Food and drink consumption were evaluated through a validated 136-item food frequency questionnaire and grouped according to their degree of processing by the NOVA classification. Participants were categorized into tertiles of UPF consumption adjusted for total energy intake. We fitted Cox proportional hazard models with repeated dietary measurements at baseline and updating information on food consumption after 10 years of follow-up to minimise the potential effect of diet variation. RESULTS During 215,149 person-years of follow-up, 175 new-onset T2D cases were confirmed. Participants in the highest baseline tertile (high consumption) of UPF consumption had a higher risk of T2D as compared to those in the lowest tertile (multivariable adjusted hazard ratio [HR] 1.53, 95% confidence interval [CI]: 1.06 to 2.22) with a significant dose-response relationship (p for linear trend = 0.024). The multivariable adjusted HR using repeated measurements of UPF intake was 1.65 (95% CI 1.14-2.38) when comparing extreme tertiles. CONCLUSIONS In a highly-educated Mediterranean cohort with a low absolute risk, a higher intake of UPF was independently associated with a higher risk for T2D. These results provide more evidence to encourage the limitation of UPF consumption to reduce the population burden of T2D.
Collapse
Affiliation(s)
- María Llavero-Valero
- University of Navarra, Department of Preventive Medicine and Public Health, Pamplona, Spain; University of Navarra, Department of Endocrinology and Nutrition, Pamplona, Spain
| | - Javier Escalada-San Martín
- University of Navarra, Department of Endocrinology and Nutrition, Pamplona, Spain; Biomedical Research Networking Center for Physiopathology of Obesity and Nutrition (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; IDISNA, Healthcare Research Institute of Navarra, Pamplona, Spain
| | - Miguel A Martínez-González
- University of Navarra, Department of Preventive Medicine and Public Health, Pamplona, Spain; Biomedical Research Networking Center for Physiopathology of Obesity and Nutrition (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; IDISNA, Healthcare Research Institute of Navarra, Pamplona, Spain; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, USA
| | - Francisco Javier Basterra-Gortari
- University of Navarra, Department of Preventive Medicine and Public Health, Pamplona, Spain; IDISNA, Healthcare Research Institute of Navarra, Pamplona, Spain; Department of Endocrinology and Nutrition, Complejo Hospitalario de Navarra, Pamplona, Spain
| | - Carmen de la Fuente-Arrillaga
- University of Navarra, Department of Preventive Medicine and Public Health, Pamplona, Spain; Biomedical Research Networking Center for Physiopathology of Obesity and Nutrition (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; IDISNA, Healthcare Research Institute of Navarra, Pamplona, Spain
| | - Maira Bes-Rastrollo
- University of Navarra, Department of Preventive Medicine and Public Health, Pamplona, Spain; Biomedical Research Networking Center for Physiopathology of Obesity and Nutrition (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; IDISNA, Healthcare Research Institute of Navarra, Pamplona, Spain.
| |
Collapse
|