The comprehensive assessment of the prevalence of metabolic syndrome in obese children and adolescents

Abstract

childhood obesity is recognized as a significant health concern by the WHO, but not all
 obese individuals face the same risk of cardiometabolic disorders. This study aims to diagnose meta-bolic syndrome (MetS) in obese children according to various known definitions and to determine the
 influence of all five definitions of MetS on insulin resistance using logistic regression models. The obser-vational cross-sectional study on 82 children aged 12 to 17 with obesity was conducted at the Children’s
 Clinical Hospital No.6 in Kyiv. MetS was established according to five main definitions. All biochemicalanalyses were performed using the enzymatic colorimetric method by Cobas 6000, Roche Diagnostics(Switzerland). The prevalence of MetS among children with obesity was higher using the de Ferranti etal. (76.8%) definition and the lower using Viner et al. definition (29.3%), p=0.023. The construction of
 a logistic regression model showed that having all the components of MetS according to different defini-tions, children and adolescents are likely to have a HOMA-2 above 2.26 (AUC more significant than 0.5,
 p<0.05). Different prevalence of MetS was found, depending on the different approaches to diagnosis.The construction of a logistic regression model showed that the parameters of the metabolic syndromeinfluence the risk of high HOMA-2 IR using four of five definitions.