Evaluation of Novel and Traditional Anthropometric Indices for Predicting Metabolic Syndrome

Music City Center 

Various anthropometric indices have been proposed to assess central obesity and predict metabolic syndrome (MetS). This presentation aimed to compare the predictive potential of anthropometric indices for MetS and its components. Among Nepalese adults, the Visceral Adiposity Index (VAI) and Lipid Accumulation Product (LAP) outperformed traditional measures such as Body mass index (BMI), waist-to-hip ratio (WHR), and waist-to-height ratio (WHtR) in predicting MetS and its components. Optimal cutoffs were as follows: VAI > 1.97 (females), > 2.16 (males); LAP > 53.4 (both sexes); WHR > 0.98 (both sexes); WHtR > 0.638 (females), > 0.56 (males); BRI > 5.76 (females), > 4.75 (males). ABSI and BAI exhibited the poorest diagnostic performance for MetS prediction in both sexes.

Anthropometric indices

Metabolic Syndrome

ROC curve

Sensitivity

Specificity 

Biopharmaceutical Section