Introduction: This study aimed to compare the diagnostic performance of conventional anthropometric and novel composite indices in identifying metabolic syndrome (MetS) in adults with obesity and to examine their associations with cardiometabolic risk markers and lipid profiles.
Materials and Methods: This study was designed as a descriptive diagnostic accuracy study and conducted in the Nutrition and Dietetics outpatient clinic of a university hospital. A total of 496 adults with a body mass index greater than 30 kg/m² were included. MetS was diagnosed according to the criteria of the Turkish Society of Endocrinology and Metabolism. In addition to anthropometric indices, composite indices such as the visceral adiposity index, lipid accumulation product, cardiometabolic index, and the triglyceride to high-density lipoprotein cholesterol (TG/HDL-C) ratio were also calculated. Statistical analyses included receiver operating characteristic curve analysis, logistic regression, and correlation analysis.
Results: Composite indices, including TG/HDL-C ratio, visceral adiposity index, lipid accumulation product, and cardiometabolic index, were significantly associated with MetS. Conventional anthropometric indices showed limited diagnostic value. TG/HDL-C ratio demonstrated the highest accuracy with an area under the curve of 0.721 and an optimal cutoff value of 2.68. Logistic regression identified TG/HDL-C ratio, age, and cardiometabolic index as significant predictors. The overall model had an area under the curve of 0.726 and a classification accuracy of 69.6 percent. Discussion and Conclusion: Lipid-based indices outperform conventional anthropometric measures in diagnosing metabolic syndrome among individuals with obesity. Their use may improve cardiometabolic risk assessment in clinical settings.