Context: Mexican-Americans have more diabetes than non-Hispanic whites, but the extent to which insulin resistance and insulin secretion explain the ethnic difference is unknown. Objective: We analyzed selected indices of insulin resistance and secretion for both the ethnic difference and predictive discrimination. Design and Setting: The San Antonio Heart Study is a longitudinal population-based study with a follow-up period of 7.5 yr. Participants: A total of 1540 nondiabetic individuals aged 25-64 yr were enrolled from January 1984 to December 1988. Interventions: Homeostasis model assessment (HOMA) of insulin resistance and secretion were estimated by available formulas (HOMA-IR and HOMA β-cell) and computer program (HOMA2S and HOMA2B). Matsuda index and insulinogenic index from 0 to 30 and 0 to 120 min (ΔI 0-30/ΔG 0-30and ΔI 0-120/ΔG 0-120) were also calculated. Main Outcome Measure: Incident diabetes was defined by the 2003 American Diabetes Association criteria. Results: Incident diabetes was in excess in Mexican-Americans [odds ratio 2.26 (95% confidence interval, 1.53-3.34)]. Matsuda index explained a larger proportion of the ethnic difference than did HOMA-IR (49.2 vs. 31.0%; P<0.001).Theethnic differencewasnot explained by measures of insulin secretion. Matsuda index and ΔI 0-30/ΔG 0-30 had a better predictive discrimination than their HOMA equivalents and ΔI 0-120/ΔG 0-120. HOMA estimates by the computer program offered no advantage over simple formulas for HOMA. Conclusions: Insulin resistance accounts for a large and significant proportion of the excess risk of diabetes in Mexican-Americans. Matsuda index is better than HOMA-IR for both explaining the ethnic difference and predicting diabetes. Copyright © 2012 by The Endocrine Society.
CITATION STYLE
Lorenzo, C., Hazuda, H. P., & Haffner, S. M. (2012). Insulin resistance and excess risk of diabetes in Mexican-Americans: The San Antonio heart study. Journal of Clinical Endocrinology and Metabolism, 97(3), 793–799. https://doi.org/10.1210/jc.2011-2272
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