The Predictive Value of the Individual Components of the Metabolic Syndrome for Insulin Resistance in Obese Children

Background/Aims: The usefulness of the concept of the metabolic syndrome (MS) in its current form has recently been questioned, and its association with insulin resistance is unknown. We assessed whether a multivariate model based on all components of MS expressed on a continuous scale would be a better predictor of a common marker of insulin resistance than the current dichotomous MS definitions. Methods: Data from 78 obese Dutch teenagers (age 13.0 +/- 2.1 years) were used for model development, and the model was validated in 40 obese Hindustani children (age 12.6 +/- 2.0 years). MS components and homeostasis model assessment-insulin resistance (HOMA-IR) were expressed as standard deviation scores (SDSs), based on gender- and age-specific reference values. Results: Using the three dichotomous models, the prevalence of MS was found to be 36, 65 and 18%, with low mutual agreement. None of these dichotomous models was a significant predictor for increased HOMA-IR SDS. The multivariate model incorporating MS components expressed as SDSs explained 58% of the variance of increased HOMA-IR SDS. In the validation group, the predicted and observed HOMA-IR SDS (2.4 +/- 1.2 vs. 2.6 +/- 2.2) did not differ significantly. Conclusion: A multivariate prediction model based on MS components expressed as SDSs has a good predictive value for increased HOMA-IR SDS. Copyright (C) 2011 S. Karger AG, Basel