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oai:repisalud.isciii.es:20.500.12105/199692024-11-28T19:33:14Zcom_20.500.12105_15322com_20.500.12105_2051col_20.500.12105_16967
Repisalud author Kroeger, Janine author Schulze, Matthias B. author Romaguera, Dora author Guevara, Marcela author Buijsse, Brian author Boeing, Heiner author Beulens, Joline W. J. author Feskens, Edith J. M. author Amiano, Pilar author Ardanaz, Eva author Agnoli, Claudia author Buckland, Genevieve author Clavel-Chapelon, Francoise author Dahm, Christina Catherine author Fagherazzi, Guy author Franks, Paul W. author Kaaks, Rudolf author Key, Timothy J. author Khaw, Kay Tee author Lajous, Martin author Mattiello, Amalia author Menendez Garcia, Virginia author Navarro, Carmen author Nilsson, Peter M author Overvad, Kim author Palli, Domenico author Ricceri, Fulvio author Rolandsson, Olov author Sanchez, Maria-Jose author Slimani, Nadia author Spijkerman, Annemieke M. W author Tjonneland, Anne author Tumino, Rosario author van der A, Daphne L author Langenberg, Claudia author Sharp, Stephen J. author Forouhi, Nita G author Riboli, Elio author Wareham, Nicholas J. author InterAct Consortium 2024-07-03T11:01:24Z 2024-07-03T11:01:24Z 2014-02 Kroeger J, Schulze MB, Romaguera D, Guevara M, Buijsse B, Boeing H, et al. Adherence to predefined dietary patterns and incident type 2 diabetes in European populations: EPIC-InterAct Study. Diabetologia. 2014 Feb;57(2):321-33. Epub 2013 Nov 7. 10.1007/s00125-013-3092-9 1432-0428 0012-186X Diabetologia http://hdl.handle.net/20.500.13003/17477 24196190 L52852884 2-s2.0-84893684335 http://hdl.handle.net/20.500.12105/19969 329615100008 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. eng Alternative Healthy Eating Index Case-cohort Dietary Approaches to Stop Hypertension Dietary patterns Reduced rank regression Type 2 diabetes Adherence to predefined dietary patterns and incident type 2 diabetes in European populations: EPIC-InterAct Study research article