Dietary patterns have been used to identify typical combinations of foods that may be associated with disease risks. We defined dietary patterns among 195,298 participants of the Multiethnic Cohort Study in Hawaii and Los Angeles in 1993-1996. Intakes of Food Guide Pyramid groups were calculated from a quantitative FFQ for subjects of 5 ethnic groups (African Americans, Hawaiians, Japanese Americans, Latinos, and whites). Three distinct dietary patterns, \u00ab\u00a0Fat and Meat,\u00a0\u00bb \u00ab\u00a0Vegetables,\u00a0\u00bb and \u00ab\u00a0Fruit and Milk,\u00a0\u00bb were identified by exploratory factor analysis with a varimax rotation and validated by confirmatory factor analysis. Similar factor loadings were found for each of 10 ethnic-gender groups in stratified analyses. The odds ratios (OR) for being above the median scores for each factor were calculated. Age, gender, and ethnicity had relatively strong associations with dietary patterns whereas education showed only weak associations. BMI >\/= 30 was strongly positively associated with the Fat and Meat pattern (OR = 2.14, 95% CI: 2.08-2.20, vs. BMI < 25). Current smokers showed a positive association with the Fat and Meat pattern (OR = 1.67, CI: 1.62-1.72, vs. nonsmokers) and inverse associations with the Vegetables (OR = 0.66, CI: 0.64-0.68) and Fruit and Milk patterns (OR = 0.53, CI: 0.52-0.55). Physical activity was positively associated with the Vegetables and Fruit and Milk patterns but not with the Fat and Meat pattern. These findings support the hypothesis that dietary patterns are influenced by interrelated sociocultural, demographic, and other lifestyle factors and may be useful in investigations of diet-disease relations.<\/p>\n","protected":false},"template":"","mots_cles":[],"class_list":["post-51213","resume","type-resume","status-publish","hentry"],"acf":{"auteurs":null,"adresse":null,"numero":null,"page":null,"mois":null,"annee":null,"mots-cles":null,"sources":null},"yoast_head":"\n