Journal
DIABETES CARE
Volume 32, Issue 5, Pages 956-958Publisher
AMER DIABETES ASSOC
DOI: 10.2337/dc08-1663
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Funding
- National Heart, Lung and Blood Institute [U01-HL47887, U01-HL47889, U01-HL47892, U01-HL47902, DK-29867, R01 58329]
- National Institutes of Health [M01-RR-43]
- Canada Research Chairs Program
- Canadian Diabetes Association
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OBJECTIVE- To compare different anthropometric measures in terms Of their ability to predict type 2 diabetes and to determine whether predictive ability was modified by ethnicity. RESEARCH DESIGN AND METHODS- Anthropometry was measured at baseline for 1,073 non-Hispanic white (nHW), African American (AA), and Hispanic (HA) subjects, of whom 146 developed type 2 diabetes after 5.2 years. Logistic regression models were used with areas under the receiver operator characteristic curve (AROCs) comparing the prediction of models. RESULTS- Waist-to-height ratio (AROC 0.678) was the most predictive measure, followed by BMI (AROC 0.674). Results were similar in nHW and HA subjects, although in AA subjects, central adiposity measures appeared to best predict type 2 diabetes. CONCLUSIONS- Measures of central and overall adiposity predicted type 2 diabetes to a similar degree, except in AA subjects, for whom results suggested that central measures were more predictive.
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