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  • Title: Dietary patterns and risk of incident type 2 diabetes in the Multi-Ethnic Study of Atherosclerosis (MESA).
    Author: Nettleton JA, Steffen LM, Ni H, Liu K, Jacobs DR.
    Journal: Diabetes Care; 2008 Sep; 31(9):1777-82. PubMed ID: 18544792.
    Abstract:
    OBJECTIVE: We characterized dietary patterns and their relation to incident type 2 diabetes in 5,011 participants from the Multi-Ethnic Study of Atherosclerosis (MESA). RESEARCH DESIGN AND METHODS: White, black, Hispanic, and Chinese adults, aged 45-84 years and free of cardiovascular disease and diabetes, completed food frequency questionnaires at baseline (2000-2002). Incident type 2 diabetes was defined at three follow-up exams (2002-2003, 2004-2005, and 2005-2007) as fasting glucose >126 mg/dl, self-reported type 2 diabetes, or use of diabetes medication. Two types of dietary patterns were studied: four empirically derived (principal components analysis) and one author-defined (low-risk food pattern) as the weighted sum of whole grains, vegetables, nuts/seeds, low-fat dairy, coffee (positively weighted), red meat, processed meat, high-fat dairy, and soda (negatively weighted). RESULTS: The empirically derived dietary pattern characterized by high intake of tomatoes, beans, refined grains, high-fat dairy, and red meat was associated with an 18% greater risk (hazard ratio per 1-score SD 1.18 [95% CI 1.06-1.32]; P(trend) = 0.004), whereas the empirically derived dietary pattern characterized by high intake of whole grains, fruit, nuts/seeds, green leafy vegetables, and low-fat dairy was associated with a 15% lower diabetes risk (0.85 [0.76-0.95]; P(trend) = 0.005). The low-risk food pattern was also inversely associated with diabetes risk (0.87 [0.81-0.99]; P(trend) = 0.04). Individual component food groups were not independently associated with diabetes risk. Associations were not modified by sex or race/ethnicity. CONCLUSIONS: Multiple food groups collectively influence type 2 diabetes risk beyond that of the individual food groups themselves.
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