Stata for windows v 15

All variables were checked for normality of distribution (Shapiro-Wilk test) before the analysis. Statistical analysis included Student’s t test and Wilcoxon’s rank-sum test for comparison of mean or median values of anthropometric and cardiometabolic variables. The χ² test was used for comparison of categorical variables. Receiver operating characteristic (ROC) analysis was used to find the optimal cutoff of BMI, WC, WHR and WHtR for MetS diagnosis in males and females. A test with perfect discrimination has a ROC plot that passes through the upper left corner, indication of 100% sensitivity and 100% specificity. A ROC plot closer to the upper left corner denotes greater accuracy of the test. To determine the optimal cutoffs for MetS diagnosis, the point on the ROC curve with maximum Youden Index [sensitivity-(1-specificity)] was calculated. Next, the values were verified with the likelihood ratio for a positive result (LR+) and the post-test probability (the proportion of participants above cutoffs who truly have the MetS). Data were analyzed using Stata for Windows V.15.0 (Lakeway Drive College Station, Texas).