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American Journal of Epidemiology Vol. 149, No. 1: 55-63
Copyright © 1999 by The Johns Hopkins University School of Hygiene and Public Health


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Estimating Prevalence of Type 1 and Type 2 Diabetes in a Population of African Americans with Diabetes Mellitus

James P. Boyle1,, Michael M. Engelgau1, Theodore J. Thompson1, Merilyn G. Goldschmid1, Gloria L. Beckles1, David S. Timberlake1, William H. Herman2, David C. Ziemer3 and Daniel L. Gallina3

1 Division of Diabetes Translation, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention Atlanta, GA
2 Division of Endocrinology and Metabolism, Department of Internal Medicine, University of Michigan Medical Center Ann Arbor, MI
3 Diabetes Unit, Grady Memorial Hospital Atlanta, GA

Reprint requests to James P. Boyle, Division of Diabetes Translation, Mailstop K-68, Centers for Disease Control and Prevention, 4770 Buford Highway NE, Atlanta, GA 30341-3724.

The pathogenesis, treatment, and outcomes of type 1 and type 2 diabetes differ. Current surveys derive population-based estimates of diabetes prevalence by type using limited clinical information and applying classification rules developed in white populations. How well these rules perform when deriving similar estimates in African American populations is unknown. For this study, data were collected on a group of African Americans with diabetes who enrolled at the Diabetes Unit of Grady Memorial Hospital in Atlanta, Georgia, from April 16, 1991, to November 1, 1996. The data were used to develop some simple classification rules for African Americans based on a classification tree and a logistic regression model. Sensitivities and specificities, in which fasting C-peptide was used as the gold standard, were determined for these rules and for two current rules developed in mostly white, non-Hispanic populations. Rules that yielded precise (minimum variance unbiased) estimates of the prevalence of type 1 diabetes were preferred. The authors found that a rule based on the logistic regression model was best for estimating type 1 prevalences ranging from 1% to 17%. They concluded that simple classification rules can be used to estimate prevalence of diabetes by type in African American populations and that the optimal rule differs somewhat from the current rules. Am J Epidemiol 1999;149:55–63.

classification; diabetes mellitus; logistic models


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