Prediction of type 2 diabetes using alternate anthropometric measures in a multi-ethnic cohort: The Insulin Resistance Atherosclerosis Study
- Meredith F. MacKay, MSc,
- Steven M. Haffner, MD,
- Lynne E. Wagenknecht, PhD,
- Ralph B. D'Agostino, Jr, PhD and
- Anthony J.G. Hanley, PhD (anthony.hanley{at}utoronto.ca)
- Department of Nutritional Sciences, University of Toronto, Toronto, ON, Canada
- Division of Clinical Epidemiology, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
- Department of Public Health Sciences, Wake Forest University, Winston Salem, NC, USA
- Department of Public Health Sciences, Wake Forest University, Winston Salem, NC, USA
- Department of Nutritional Sciences, University of Toronto, Toronto, ON, Canada
Abstract
Objective: To compare different anthropometric measures in terms of their ability to predict T2DM and to determine whether predictive ability was modified by ethnicity.
Research Design and Methods: Anthropometry was measured at baseline on 1073 non-Hispanic Whites (nHW), African Americans (AA) and Hispanics (HA), of which 146 developed T2DM after 5.2 years. Logistic regression models were used with areas under the receiver operator characteristic curve (AROC) comparing the prediction of models.
Results: Waist-height ratio (AROC=0.678) was the most predictive measure, followed by BMI (AROC=0.674). Results were similar in nHW and HA, although in AA, central adiposity measures appeared to best predict T2DM.
Conclusion: Measures of central and overall adiposity predicted T2DM to a similar degree, except in AA where results suggested that central measures were more predictive.
Footnotes
-
- Received September 12, 2008.
- Accepted January 22, 2009.
- Copyright © American Diabetes Association
