African Americans have a high risk for type 2 diabetes. Genetic traits, the prevalence of obesity, and insulin resistance all contribute to the risk of diabetes in the African American community. African Americans have a high rate of diabetic complications, because of poor glycaemic control and racial disparities in health care in the USA. African Americans with diabetes may have an atypical presentation that simulates type 1 diabetes, but then their subsequent clinical course is typical of type 2 diabetes. Culturally sensitive strategies, structured disease management protocols, and the assistance of nurses, diabetic educators, and other health care professionals are effective in improving the outcome of diabetes in the African American community.

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Hyperinsulinemia, a manifestation of insulin resistance, precursor of non-insulin dependent diabetes mellitus (NIDDM) and the hallmark of Syndrome X was assessed in 27 obese post-menopausal women. Insulin-like growth factor binding protein-1 (IGFBP-1), which had been shown previously to correlate inversely with insulin in animal and human studies, was evaluated as a diagnostic marker for abnormal glucose stimulated area under the curve (AUC) insulin (defined a priori as > or = 100 microU/ml). We performed analysis of variance and logistic regression to assess IGFBP-1 and other study covariates, including body mass index, blood pressure, lipids and measures of glucose and insulin in hyperinsulinemic vs. normal women and evaluated performance characteristics (sensitivity, specificity, positive and negative predictive values and accuracy rates). The mean IGFBP-1 was 6.1 ng/ml (95% confidence interval (CI) 3.1 to 8.9) for the hyper-insulinemic women compared to 33.5 ng/ml (CI 15.8 to 51.2) for normal women (P = .0027). At a cutoff point of 15ng/ml, which was selected to correspond to the lower 95% confidence limit for the normal study population, IGFBP-1 was abnormal in all 13 women with hyperinsulinemia and 4 women with normal insulin levels (sensitivity 100%, specificity 69%; positive predictive value 76%, negative predictive value 100%, diagnostic accuracy rate 85%). Logistic regression models indicated that, of all study covariates, IGFBP-1 was the best predictor variable for AUC-insulin as a binary dependent variable. These results suggest that IGFBP-1 may be a simple serum marker for hyperinsulinemia in a subpopulation of obese menopausal women.

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