Dietary patterns and type 2 diabetes in Japanese men and women: the Japan Public Health Center-based Prospective Study.

Autor: Nanri, A, Shimazu, T, Takachi, R, Ishihara, J, Mizoue, T, Noda, M, Inoue, M, Tsugane, S
Předmět:
Zdroj: European Journal of Clinical Nutrition; Jan2013, Vol. 67 Issue 1, p18-24, 7p, 3 Charts
Abstrakt: Background/objective:Dietary patterns in Western populations have been linked to type 2 diabetes, but the association of distinctive dietary patterns of Japanese population remains unclear. We prospectively investigated the association between dietary patterns and risk of developing type 2 diabetes among Japanese adults.Subjects/methods:Participants were 27 816 men and 36 889 women aged 45-74 years who participated in the second survey of the Japan Public Health Center-based prospective study and had no history of diabetes. Dietary patterns were derived by using principal component analysis of the consumption of 134 food and beverage items ascertained by a food frequency questionnaire. Odds ratios of self-reported physician-diagnosed type 2 diabetes over 5 year were estimated using logistic regression analysis.Results:A total of 1194 new cases (692 men and 502 women) of type 2 diabetes were self-reported. We identified three dietary patterns: prudent, westernized and traditional Japanese patterns. Any dietary pattern was not significantly associated with type 2 diabetes risk after adjustment for covariates in both men and women. The multivariate-adjusted odds ratios (95% confidence interval) for type 2 diabetes for the highest versus lowest quartile of each dietary pattern score in men and women, respectively, were 0.93 (0.74-1.16) and 0.90 (0.69-1.16) for the prudent pattern, 1.15 (0.90-1.46) and 0.81 (0.61-1.08) for the westernized pattern, and 0.97 (0.74-1.27) and 0.87 (0.66-1.15) for the traditional pattern.Conclusions:Although a small protective effect of the prudent dietary pattern cannot be excluded, dietary patterns may not be appreciably associated with type 2 diabetes risk in Japanese. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index