Short Report: Epidemiology
Associations between surrogate measures of insulin resistance and waist circumference, cardiovascular risk and the metabolic syndrome across Hispanic and non-Hispanic white populations
Article first published online: 7 OCT 2012
© 2012 The Authors. Diabetic Medicine © 2012 Diabetes UK
Volume 29, Issue 11, pages 1390–1394, November 2012
How to Cite
Martínez-Larrad, M. T., Lorenzo, C., González-Villalpando, C., Gabriel, R., Haffner, S. M. and Serrano-Ríos, M. (2012), Associations between surrogate measures of insulin resistance and waist circumference, cardiovascular risk and the metabolic syndrome across Hispanic and non-Hispanic white populations. Diabetic Medicine, 29: 1390–1394. doi: 10.1111/j.1464-5491.2012.03723.x
- Issue published online: 7 OCT 2012
- Article first published online: 7 OCT 2012
- Accepted manuscript online: 10 JUN 2012 11:15PM EST
- Accepted 30 May 2012
Aims We evaluated the relations between surrogate indices of insulin resistance and waist circumference, metabolic syndrome and coronary heart disease risk across Hispanic and non-Hispanic white populations.
Methods The study was a cross-sectional analysis of participants without diabetes in the San Antonio Heart Study, Mexico City Diabetes Study and Spanish Insulin Resistance Study. We evaluated commonly used indices of insulin resistance, including homeostasis model assessment, McAuley’s index, Gutt’s insulin sensitivity index, Avignon’s insulin sensitivity index and the Stumvoll index with and without demographics, the modified Matsuda index and the product of the triglycerides and glucose index. The metabolic syndrome was defined by American Heart Association/National Heart, Lung, and Blood Institute criteria and coronary heart disease risk by Framingham risk scores.
Results The Stumvoll index with demographics and the Avignon’s insulin sensitivity index had the strongest correlations with waist circumference across populations. The triglycerides and glucose and McAuley’s indices had the most robust correlations with Framingham risk score. The triglycerides and glucose index had the greatest ability to detect individuals with the metabolic syndrome and ≥ 10% coronary heart disease risk. Some indices display significant variability in the strength of the relationship with adiposity and coronary heart disease risk across populations.
Conclusions There are significant differences between insulin resistance indices regarding the ability to detect the metabolic syndrome and coronary heart disease risk across populations. Studies may need to consider the index of insulin resistance that best suits the objectives.