Estimation of metabolic factors related to insulin resistance and metabolic syndrome in young people.

Civilizational developments occurring during recent decades have resulted in an increased incidence of a variety of metabolic disorders related to insulin resistance in younger people. The determination of decision limits for insulin resistance indices, especially among young people, is a significant challenge in clinical practice. The aim of this study was the estimation of metabolic factors related to their relationship to insulin resistance and metabolic syndrome (MS) features in young, apparently healthy people. Moreover, we evaluated the optimal decision limits for patients with MS identification for HOMA1-IR, HOMA2-IR, HOMA2 obtained from C-peptide concentrations. 349 apparently healthy people aged 18-31 (260 women and 89 men), were enrolled in this study. The present analysis of metabolic, anthropometric and clinical parameters observed them in clusters covering the criteria of MS recognition, but MS in this group was only partially related to insulin resistance. The HOMA1-IR decision limit estimation is likely to became be useful in the prognostication of metabolic disturbances in young, apparently healthy people. A measure of insulin resistance that can provide a reliable early prediction of MS is likely to provide an opportunity for instigating preventive measures of significant clinical utility.