Key result
The dysfunctional adiposity index (AUC = 0.921) and lipid accumulation product (AUC = 0.915) demonstrated the highest discriminatory ability for predicting metabolic syndrome in adults.
Why the study?
The increasing prevalence of metabolic syndrome highlights the need for practical methods to detect it in the early period.
Do anthropometric indices such as the dysfunctional adiposity index (DAI) and lipid accumulation product (LAP) accurately predict metabolic syndrome in adults?
Case-Control (n=229)
Do anthropometric indices such as the dysfunctional adiposity index (DAI) and lipid accumulation product (LAP) accurately predict metabolic syndrome in adults?
The dysfunctional adiposity index (DAI) and lipid accumulation product (LAP) demonstrate high discriminatory ability and can be used as practical predictive tools for the early detection of metabolic syndrome.
Answers are grounded in this paper and cite their sources.
Waist circumference may aid MetS screening in Mexican adults; leaves open superiority in prospective or broader cohorts.
Introduction: 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.
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Baş et al. (2022) conducted a case-control in Metabolic syndrome (n=229). Adiposity indexes (DAI, LAP, VAI, BRI, ABSI) vs. Control group (without metabolic syndrome) was evaluated on Discriminatory ability for metabolic syndrome (AUC) (AUC 0.921 for DAI, p=<0.001). The dysfunctional adiposity index (AUC = 0.921) and lipid accumulation product (AUC = 0.915) demonstrated the highest discriminatory ability for predicting metabolic syndrome in adults.
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