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Title: Generalizability of a Diabetes-Associated Country-Specific Exploratory Dietary Pattern Is Feasible Across European Populations
Author: Jannasch, Franziska
Kroger, Janine
Agnoli, Claudia
Barricarte, Aurelio
Boeing, Heiner
Cayssials, Valerie
Colorado Yohar, Sandra
Dahm, Christina C.
Dow, Courtney
Fagherazzi, Guy
Franks, Paul W.
Freisling, Heinz
Gunter, Masc J.
Kerrison, Nicola D.
Key, Timothy J.
Khaw, Kay-Tee
Kühn, Tilman
Kyro, Cecilie
Mancini, Francesca Romana
Mokoroa, Olatz
Nilsson, Peter M.
Overvad, Kim
Palli, Domenico
Panico, Salvatore
Quirós, J. Ramón
Rolandsson, Olov
Sacerdote, Carlotta
Sánchez, Mariá José
Sediq Sahrai, Mohammad
Schübel, Ruth
Sluijs, Ivonne
Spijkerman, Annemieke M. W.
Tjønneland, Anne
Tong, Tammy Y. N.
Tumino, Rosario
Riboli, Elio
Langenberg, Claudia
Sharp, Stephen J.
Forouhi, Nita G.
Schulze, Matthias B.
Wareham, Nicholas J.
Keywords: Diabetis
Issue Date: 1-Jun-2019
Publisher: Oxford University Press
Abstract: Background: Population-specificity of exploratory dietary patterns limits their generalizability in investigations with type 2 diabetes incidence. Objective: The aim of this study was to derive country-specific exploratory dietary patterns, investigate their association with type 2 diabetes incidence, and replicate diabetes-associated dietary patterns in other countries. Methods: Dietary intake data were used, assessed by country-specific questionnaires at baseline of 11,183 incident diabetes cases and 14,694 subcohort members (mean age 52.9 y) from 8 countries, nested within the European Prospective Investigation into Cancer and Nutrition study (mean follow-up time 6.9 y). Exploratory dietary patterns were derived by principal component analysis. HRs for incident type 2 diabetes were calculated by Prentice-weighted Cox proportional hazard regression models. Diabetes-associated dietary patterns were simplified or replicated to be applicable in other countries. A meta-analysis across all countries evaluated the generalizability of the diabetes-association. Results: Two dietary patterns per country/UK-center, of which overall 3 dietary patterns were diabetes-associated, were identified. A risk-lowering French dietary pattern was not confirmed across other countries: pooled HRFrance per 1 SD: 1.00; 95% CI: 0.90, 1.10. Risk-increasing dietary patterns, derived in Spain and UK-Norfolk, were confirmed, but only the latter statistically significantly: HRSpain: 1.09; 95% CI: 0.97, 1.22 and HRUK-Norfolk: 1.12; 95% CI: 1.04, 1.20. Respectively, this dietary pattern was characterized by relatively high intakes of potatoes, processed meat, vegetable oils, sugar, cake and cookies, and tea. Conclusions: Only few country/center-specific dietary patterns (3 of 18) were statistically significantly associated with diabetes incidence in this multicountry European study population. One pattern, whose association with diabetes was confirmed across other countries, showed overlaps in the food groups potatoes and processed meat with identified diabetes-associated dietary patterns from other studies. The study demonstrates that replication of associations of exploratory patterns with health outcomes is feasible and a necessary step to overcome population-specificity in associations from such analyses.
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It is part of: Journal of Nutrition, 2019, vol. 149, num. 6, Pp 1047-1055
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Appears in Collections:Articles publicats en revistes (Institut d'lnvestigació Biomèdica de Bellvitge (IDIBELL))

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