Abstract
Elevated insulin concentrations are independent predictors of coronary heart disease (CHD) and are related to high blood pressure, low serum HDL-cholesterol and elevated serum triglyceride. Insulin resistance is a major determinant of the plasma insulin concentration. Computer modelling of plasma glucose, insulin and C-peptide concentrations during an intravenous glucose tolerance test enables quantification of the determinants of plasma insulin concentration. The association between risk markers of CHD and model-derived measures of determinants of plasma insulin concentration in a group of healthy males has been investigated. In univariate linear regression analysis of the glucose, insulin and C-peptide data, the incremental insulin area during the second phase (10–180 min.) was found to be the strongest predictor of lipid, lipoprotein and blood pressure variables. Variations in insulin sensitivity and hepatic insulin throughput contribute to variation in the insulin response and may be secondary correlates of lipids, lipoproteins and blood pressure.
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Godsland, I.F., Walton, C., Crook, D. et al. Insulin resistance — modelling studies. Eur J Epidemiol 8 (Suppl 1), 136–138 (1992). https://doi.org/10.1007/BF00145366
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DOI: https://doi.org/10.1007/BF00145366