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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

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 ass...

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Autores principales: 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9464116/
https://www.ncbi.nlm.nih.gov/pubmed/35641800
http://dx.doi.org/10.1007/s00394-022-02909-9
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author 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.
author_facet 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.
author_sort Jannasch, Franziska
collection PubMed
description 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 (IRR(pooled) per 1 SD = 1.104, 95% CI 1.059–1.151). Although heterogeneity was present (I(2) = 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 (IRR(pooled) 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00394-022-02909-9.
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spelling pubmed-94641162022-09-12 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. Eur J Nutr Original Contribution 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 (IRR(pooled) per 1 SD = 1.104, 95% CI 1.059–1.151). Although heterogeneity was present (I(2) = 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 (IRR(pooled) 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00394-022-02909-9. Springer Berlin Heidelberg 2022-06-01 2022 /pmc/articles/PMC9464116/ /pubmed/35641800 http://dx.doi.org/10.1007/s00394-022-02909-9 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Original Contribution
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.
Associations between exploratory dietary patterns and incident type 2 diabetes: a federated meta-analysis of individual participant data from 25 cohort studies
title Associations between exploratory dietary patterns and incident type 2 diabetes: a federated meta-analysis of individual participant data from 25 cohort studies
title_full Associations between exploratory dietary patterns and incident type 2 diabetes: a federated meta-analysis of individual participant data from 25 cohort studies
title_fullStr Associations between exploratory dietary patterns and incident type 2 diabetes: a federated meta-analysis of individual participant data from 25 cohort studies
title_full_unstemmed Associations between exploratory dietary patterns and incident type 2 diabetes: a federated meta-analysis of individual participant data from 25 cohort studies
title_short Associations between exploratory dietary patterns and incident type 2 diabetes: a federated meta-analysis of individual participant data from 25 cohort studies
title_sort associations between exploratory dietary patterns and incident type 2 diabetes: a federated meta-analysis of individual participant data from 25 cohort studies
topic Original Contribution
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9464116/
https://www.ncbi.nlm.nih.gov/pubmed/35641800
http://dx.doi.org/10.1007/s00394-022-02909-9
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