AJCN Tufts Nutrition Symposium, Boston & Online Sept 2009
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American Journal of Clinical Nutrition, Vol. 87, No. 5, 1212-1218, May 2008
© 2008 American Society for Nutrition


ORIGINAL RESEARCH COMMUNICATION

Relation of central adiposity and body mass index to the development of diabetes in the Diabetes Prevention Program 1,2,3

George A Bray, Kathleen A Jablonski, Wilfred Y Fujimoto, Elizabeth Barrett-Connor, Steven Haffner, Robert L Hanson, James O Hill, Van Hubbard, Andrea Kriska, Elizabeth Stamm, F Xavier Pi-Sunyer for the Diabetes Prevention Program Research Group

1 From the Pennington Biomedical Research Center, Baton Rouge, LA (GAB); the George Washington Biostatistics Center, Rockville, MD (KAJ); the Department of Medicine, University of Washington, Seatlle, WA (WYF); the Department of Family and Preventive Medicine, School of Medicine, University of California San Diego, La Jolla, CA (EBC); the University of Texas Health Science Center at San Antonio, San Antonio, TX (SH); the National Institute of Diabetes and Digestive and Kidney Diseases, Phoenix, AZ (RLH); the Center for Human Nutrition, University of Colorado School of Medicine, Denver, CO (JOH); the Division of Nutrition Research, National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, MD (VH); the Department of Epidemiology, University of Pittsburgh Graduate School of Public Health, Pittsburgh, PA (AK); the University of Colorado Health Sciences Center, Denver, CO (ES); and Roosevelt-St Luke's Hospital, New York, NY (FXP-S)

Background: Greater central adiposity is related to the risk of diabetes.

Objective: We aimed to test the hypothesis that central adiposity measured by computed tomography (CT) is a better predictor of the risk of diabetes than is body mass index (BMI), waist circumference (WC), waist/hip ratio (WHR), or waist/height ratio.

Design: Visceral adipose tissue (VAT) and subcutaneous adipose tissue (SAT) were measured at the L2–3 and L4–5 disc spaces in 1106 of the 3234 participants in the Diabetes Prevention Program. Sex-specific proportional hazards models were used to evaluate the association between VAT and SAT at both cuts, BMI, and other measures of central adiposity as predictors of the development of diabetes.

Results: Men had more VAT than did women. White subjects had more VAT at both cuts than did other ethnic groups. The ratio of VAT to SAT was lowest in African Americans of both sexes. Among men in the placebo group, VAT at both cuts, WC, BMI, waist/height ratio, and WHR predicted diabetes (hazard ratio: 1.79–1.44 per 1 SD of variable). Among women in the lifestyle group, VAT at both cuts predicted diabetes as well as did BMI, and L2–3 was a significantly better predictor than was WC or WHR. SAT did not predict diabetes. None of the body fat measurements predicted diabetes in the metformin group.

Conclusions: In the placebo and lifestyle groups, VAT at both cuts, WHR, and WC predicted diabetes. No measure predicted diabetes in the metformin group. CT provided no important advantage over these simple measures. SAT did not predict diabetes.


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