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Associations between exploratory dietary patterns and incident type 2 diabetes: a federated meta-analysis of individual participant data from 25 cohort studies.
Jannasch, Franziska; Dietrich, Stefan; Bishop, Tom R P; Pearce, Matthew; Fanidi, Anouar; O'Donoghue, Gráinne; O'Gorman, Donal; Marques-Vidal, Pedro; Vollenweider, Peter; Bes-Rastrollo, Maira; Byberg, Liisa; Wolk, Alicja; Hashemian, Maryam; Malekzadeh, Reza; Poustchi, Hossein; Luft, Vivian C; de Matos, Sheila M Alvim; Kim, Jihye; Kim, Mi Kyung; Kim, Yeonjung; Stern, Dalia; Lajous, Martin; Magliano, Dianna J; Shaw, Jonathan E; Akbaraly, Tasnime; Kivimaki, Mika; Maskarinec, Gertraud; Le Marchand, Loïc; Martínez-González, Miguel Ángel; Soedamah-Muthu, Sabita S; Wareham, Nicholas J; Forouhi, Nita G; Schulze, Matthias B.
Afiliação
  • Jannasch F; Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany. franziska.jannasch@dife.de.
  • Dietrich S; NutriAct Competence Cluster Nutrition Research Potsdam-Berlin, Nuthetal, Germany. franziska.jannasch@dife.de.
  • Bishop TRP; German Center for Diabetes Research, Munich-Neuherberg, Germany. franziska.jannasch@dife.de.
  • Pearce M; Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany.
  • Fanidi A; Department of Food Safety, German Federal Institute for Risk Assessment (BfR), Berlin, Germany.
  • O'Donoghue G; MRC Epidemiology Unit, School of Clinical Medicine, Institute of Metabolic Science, University of Cambridge, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK.
  • O'Gorman D; MRC Epidemiology Unit, School of Clinical Medicine, Institute of Metabolic Science, University of Cambridge, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK.
  • Marques-Vidal P; MRC Epidemiology Unit, School of Clinical Medicine, Institute of Metabolic Science, University of Cambridge, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK.
  • Vollenweider P; School of Public Health, Physiotherapy and Sports Science, University College Dublin, Dublin, Ireland.
  • Bes-Rastrollo M; School of Health and Human Performance, Dublin City University, Dublin, Ireland.
  • Byberg L; Department of Medicine, Internal Medicine, Lausanne University Hospital and University of Lausanne, Office BH10-642, Rue du Bugnon 46, 1011, Lausanne, Switzerland.
  • Wolk A; Department of Medicine, Internal Medicine, Lausanne University Hospital and University of Lausanne, Office BH10-642, Rue du Bugnon 46, 1011, Lausanne, Switzerland.
  • Hashemian M; Department of Preventive Medicine and Public Health, University of Navarra, Pamplona, Spain.
  • Malekzadeh R; CIBERobn, Instituto de Salud Carlos III, Madrid, Spain.
  • Poustchi H; Navarra Institute for Health Research (IdiSNA), Pamplona, Spain.
  • Luft VC; Department of Surgical Sciences, Medical Epidemiology, Uppsala University, Uppsala, Sweden.
  • de Matos SMA; Department of Surgical Sciences, Medical Epidemiology, Uppsala University, Uppsala, Sweden.
  • Kim J; Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.
  • Kim MK; Digestive Disease Research Center, Digestive Disease Research Institute, Tehran University of Medical Sciences, Tehran, Iran.
  • Kim Y; Biology Department, School of Arts and Sciences, Utica College, Utica, NY, USA.
  • Stern D; Digestive Disease Research Center, Digestive Disease Research Institute, Tehran University of Medical Sciences, Tehran, Iran.
  • Lajous M; Liver and Pancreatobiliary Diseases Research Center, Digestive Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran.
  • Magliano DJ; Faculdade de Medicina, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, RS, Brazil.
  • Shaw JE; Institute of Collective Health, Federal University of Bahia, Salvador, Bahia, Brazil.
  • Akbaraly T; Department of Preventive Medicine, College of Medicine, Hanyang University, Seoul, South Korea.
  • Kivimaki M; Department of Preventive Medicine, College of Medicine, Hanyang University, Seoul, South Korea.
  • Maskarinec G; Division of Health and Nutrition Survey and Analysis, Korea Disease Control Prevention Agency, Seoul, South Korea.
  • Le Marchand L; CONACyT-Center for Research on Population Health, National Institute of Public Health, Cuernavaca, Morelos, Mexico.
  • Martínez-González MÁ; CONACyT-Center for Research on Population Health, National Institute of Public Health, Cuernavaca, Morelos, Mexico.
  • Soedamah-Muthu SS; Baker Heart and Diabetes Institute, 75 Commercial Road, Melbourne, VIC, 3004, Australia.
  • Wareham NJ; Inserm U 1018, Université Paris-Saclay, UVSQ, Villejuif, Maison des Sciences de l'Homme - SUD, Montpellier, France.
  • Forouhi NG; Department of Epidemiology and Public Health, University College London, London, UK.
  • Schulze MB; Department of Epidemiology and Public Health, University College London, London, UK.
Eur J Nutr ; 61(7): 3649-3667, 2022 Oct.
Article em En | MEDLINE | ID: mdl-35641800
ABSTRACT

PURPOSE:

In several studies, exploratory dietary patterns (DP), derived by principal component analysis, were inversely or positively associated with incident type 2 diabetes (T2D). However, findings remained study-specific, inconsistent and rarely replicated. This study aimed to investigate the associations between DPs and T2D in multiple cohorts across the world.

METHODS:

This federated meta-analysis of individual participant data was based on 25 prospective cohort studies from 5 continents including a total of 390,664 participants with a follow-up for T2D (3.8-25.0 years). After data harmonization across cohorts we evaluated 15 previously identified T2D-related DPs for association with incident T2D estimating pooled incidence rate ratios (IRR) and confidence intervals (CI) by Piecewise Poisson regression and random-effects meta-analysis.

RESULTS:

29,386 participants developed T2D during follow-up. Five DPs, characterized by higher intake of red meat, processed meat, French fries and refined grains, were associated with higher incidence of T2D. The strongest association was observed for a DP comprising these food groups besides others (IRRpooled per 1 SD = 1.104, 95% CI 1.059-1.151). Although heterogeneity was present (I2 = 85%), IRR exceeded 1 in 18 of the 20 meta-analyzed studies. Original DPs associated with lower T2D risk were not confirmed. Instead, a healthy DP (HDP1) was associated with higher T2D risk (IRRpooled per 1 SD = 1.057, 95% CI 1.027-1.088).

CONCLUSION:

Our findings from various cohorts revealed positive associations for several DPs, characterized by higher intake of red meat, processed meat, French fries and refined grains, adding to the evidence-base that links DPs to higher T2D risk. However, no inverse DP-T2D associations were confirmed.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Diabetes Mellitus Tipo 2 Tipo de estudo: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies / Systematic_reviews Limite: Humans Idioma: En Revista: Eur J Nutr Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Diabetes Mellitus Tipo 2 Tipo de estudo: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies / Systematic_reviews Limite: Humans Idioma: En Revista: Eur J Nutr Ano de publicação: 2022 Tipo de documento: Article