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Adherence to predefined dietary patterns and incident type 2 diabetes in European populations: EPIC-InterAct Study

Kroeger, Janine ; Schulze, Matthias B. ; Romaguera, Dora ; Guevara, Marcela ; Buijsse, Brian ; Boeing, Heiner ; Beulens, Joline W. J. ; Feskens, Edith J. M. ; Amiano, Pilar and Ardanaz, Eva , et al. (2014) In Diabetologia 57(2). p.321-333
Abstract
Few studies have investigated the relationship between predefined dietary patterns and type 2 diabetes incidence; little is known about the generalisability of these associations. We aimed to assess the association between predefined dietary patterns and type 2 diabetes risk in European populations. From among a case-cohort of 12,403 incident diabetes cases and 16,154 subcohort members nested within the prospective European Prospective Investigation into Cancer and Nutrition study, we used data on 9,682 cases and 12,595 subcohort participants from seven countries. Habitual dietary intake was assessed at baseline with country-specific dietary questionnaires. Two diet-quality scores (alternative Healthy Eating Index [aHEI], Dietary... (More)
Few studies have investigated the relationship between predefined dietary patterns and type 2 diabetes incidence; little is known about the generalisability of these associations. We aimed to assess the association between predefined dietary patterns and type 2 diabetes risk in European populations. From among a case-cohort of 12,403 incident diabetes cases and 16,154 subcohort members nested within the prospective European Prospective Investigation into Cancer and Nutrition study, we used data on 9,682 cases and 12,595 subcohort participants from seven countries. Habitual dietary intake was assessed at baseline with country-specific dietary questionnaires. Two diet-quality scores (alternative Healthy Eating Index [aHEI], Dietary Approaches to Stop Hypertension [DASH] score) and three reduced rank regression (RRR)-derived dietary-pattern scores were constructed. Country-specific HRs were calculated and combined using a random-effects meta-analysis. After multivariable adjustment, including body size, the aHEI and DASH scores were not significantly associated with diabetes, although for the aHEI there was a tendency towards an inverse association in countries with higher mean age. We observed inverse associations of the three RRR-derived dietary-pattern scores with diabetes: HRs (95% CIs) for a 1-SD difference were 0.91 (0.86, 0.96), 0.92 (0.84, 1.01) and 0.87 (0.82, 0.92). Random-effects meta-analyses revealed heterogeneity between countries that was explainable by differences in the age of participants or the distribution of dietary intake. Adherence to specific RRR-derived dietary patterns, commonly characterised by high intake of fruits or vegetables and low intake of processed meat, sugar-sweetened beverages and refined grains, may lower type 2 diabetes risk. (Less)
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organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Alternative Healthy Eating Index, Case-cohort, Dietary Approaches to, Stop Hypertension, Dietary patterns, Reduced rank regression, Type 2, diabetes
in
Diabetologia
volume
57
issue
2
pages
321 - 333
publisher
Springer
external identifiers
  • wos:000329615100008
  • scopus:84893684335
  • pmid:24196190
ISSN
1432-0428
DOI
10.1007/s00125-013-3092-9
language
English
LU publication?
yes
id
ccdf7571-4222-4595-8e59-948176db942a (old id 4319474)
date added to LUP
2016-04-01 10:11:44
date last changed
2022-03-27 05:46:36
@article{ccdf7571-4222-4595-8e59-948176db942a,
  abstract     = {{Few studies have investigated the relationship between predefined dietary patterns and type 2 diabetes incidence; little is known about the generalisability of these associations. We aimed to assess the association between predefined dietary patterns and type 2 diabetes risk in European populations. From among a case-cohort of 12,403 incident diabetes cases and 16,154 subcohort members nested within the prospective European Prospective Investigation into Cancer and Nutrition study, we used data on 9,682 cases and 12,595 subcohort participants from seven countries. Habitual dietary intake was assessed at baseline with country-specific dietary questionnaires. Two diet-quality scores (alternative Healthy Eating Index [aHEI], Dietary Approaches to Stop Hypertension [DASH] score) and three reduced rank regression (RRR)-derived dietary-pattern scores were constructed. Country-specific HRs were calculated and combined using a random-effects meta-analysis. After multivariable adjustment, including body size, the aHEI and DASH scores were not significantly associated with diabetes, although for the aHEI there was a tendency towards an inverse association in countries with higher mean age. We observed inverse associations of the three RRR-derived dietary-pattern scores with diabetes: HRs (95% CIs) for a 1-SD difference were 0.91 (0.86, 0.96), 0.92 (0.84, 1.01) and 0.87 (0.82, 0.92). Random-effects meta-analyses revealed heterogeneity between countries that was explainable by differences in the age of participants or the distribution of dietary intake. Adherence to specific RRR-derived dietary patterns, commonly characterised by high intake of fruits or vegetables and low intake of processed meat, sugar-sweetened beverages and refined grains, may lower type 2 diabetes risk.}},
  author       = {{Kroeger, Janine and Schulze, Matthias B. and Romaguera, Dora and Guevara, Marcela and Buijsse, Brian and Boeing, Heiner and Beulens, Joline W. J. and Feskens, Edith J. M. and Amiano, Pilar and Ardanaz, Eva and Agnoli, Claudia and Buckland, Genevieve and Clavel-Chapelon, Francoise and Dahm, Christina C. and Fagherazzi, Guy and Franks, Paul and Kaaks, Rudolf and Key, Timothy J. and Khaw, Kay Tee and Lajous, Martin and Mattiello, Amalia and Menendez Garcia, Virginia and Navarro, Carmen and Nilsson, Peter and Overvad, Kim and Palli, Domenico and Ricceri, Fulvio and Rolandsson, Olov and Sanchez, Maria-Jose and Slimani, Nadia and Spijkerman, Annemieke M. W. and Tjonneland, Anne and Tumino, Rosario and van der A, Daphne L. and Langenberg, Claudia and Sharp, Stephen J. and Forouhi, Nita G. and Riboli, Elio and Wareham, Nicholas J.}},
  issn         = {{1432-0428}},
  keywords     = {{Alternative Healthy Eating Index; Case-cohort; Dietary Approaches to; Stop Hypertension; Dietary patterns; Reduced rank regression; Type 2; diabetes}},
  language     = {{eng}},
  number       = {{2}},
  pages        = {{321--333}},
  publisher    = {{Springer}},
  series       = {{Diabetologia}},
  title        = {{Adherence to predefined dietary patterns and incident type 2 diabetes in European populations: EPIC-InterAct Study}},
  url          = {{http://dx.doi.org/10.1007/s00125-013-3092-9}},
  doi          = {{10.1007/s00125-013-3092-9}},
  volume       = {{57}},
  year         = {{2014}},
}