Predicting metabolic syndrome by visceral adiposity index, body roundness index, dysfunctional adiposity index, lipid accumulation product index, and body shape index in adults.

INTRODUCTION: the increasing prevalence of metabolic syndrome draws attention to the importance of detecting metabolic syndrome with practical methods in the early period.

OBJECTIVES: to compare anthropometric measurements and indexes for prediction of metabolic syndrome (MetS) in adults.

METHODS: the study was conducted with adults classified as MetS (n = 92) and a control group (n = 137) according to the International Diabetes Federation. Anthropometric measurements, visceral adiposity index (VAI), dysfunctional adiposity index (DAI), A body shape index (ABSI), lipid accumulation product (LAP), body roundness index (BRI), glucose, lipid biomarkers, and blood pressure (BP) levels were compared. A ROC analysis was performed.

RESULTS: MetS frequency was determined to be 40.2 % (n = 92). All biochemical parameters except high-density lipoprotein-cholesterol and BP levels, all anthropometric measurements, and all index values except ABSI of the MetS group were higher than in the control group (p < 0.001). DAI had the highest discriminatory ability for MetS (AUC = 0.921). While the discriminatory ability of LAP was slightly lower (AUC = 0.915), ABSI had the lowest ability for MetS (AUC = 0.606).

CONCLUSION: according to the study findings, MetS was found in almost half of individuals, and the LAP index and DAI can be used as predictive tools for early detection of MetS.