This study aimed to assess several indicators of adiposity and their effectiveness in predicting metabolic syndrome (MetS) and identify their cut-off values among general Saudi adults. Consequently, 833 participants (49% male and 51% female) aged 42.2 ± 11.9 years (408 MetS and 425 as controls) were enrolled into this cross-sectional study. Information on demographics, anthropometrics and biochemical results was retrieved from a registry. MetS was defined according to the National Cholesterol Education Program's (NCEP III) criteria. Overall, the lipid accumulation product (LAP) and waist-TG index (WTI) had the highest discriminatory ability for MetS (area under the curve (AUC): 0.857 and 0.831), respectively, followed by the visceral adiposity index (VAI) and dysfunctional adiposity index (DAI) (AUC: 0.819 and 0.804), respectively. Based on gender, the LAP and WTI were the best indicators for discriminating MetS and presented the highest Youden index values, with cut-off values of 49.8 (sensitivity 68.5%, specificity 82.4%), and 8.7 (sensitivity 70.7%, specificity 81.9%), respectively, in females and 46.2 (sensitivity 85.6%, specificity 76.3%) and 8.9 (sensitivity 73.9%, specificity 84.8%), respectively, in males. The LAP and WTI performed well in both genders with a superior ability to identify MetS in males and could be used to predict MetS in Saudi adults.
Keywords: BMI; Saudi Arabia; metabolic syndrome components; obesity.