Age Cut-off Point for the Diagnosis of Metabolic Syndrome in Northern Adult Iranians: A New Approach in Prevention

Abstract

The Metabolic syndrome (MetS) is one of the main risk factor for cardiovascular disease and the aim of this study was to compare the discriminative capacity of age in a prediction of non-adipose components and to determine its relevant optimal cut-off in Turkman and non-Turkman residents of the northern part of Iran. This study has been conducted on the 248 subjects of 25-70 years age. ATP-III method was used for diagnosis of MetS. The optimal cut-off, the corresponding sensitivity and specificity for age have estimated in the threshold that maximizes the sum of sensitivity and specificity or equivalently maximizes in ROC curve operating points. Finally, the prevalence of MetS was evidenced in 37.6% of subjects and significantly was 14.7% more in non-Turkman than in Turkman group. Compared with Turkman group, the means of fasting plasma glucose, Triglycerides, WC and diastolic blood pressure (DBP) were statistical significantly more in non-Turkman group, respectively. Age cut-off values for predicting of MetS was 33.5 years in Turkman, 50.5 years in non-Turkman and 42.5 years in total of subjects. The AUCs (Area Under Curve) ranged from 0.546 in Turkman group to 0.726 for the non-Turkman group.