Anthropometric Indices as Predictive Screening Tools for Obesity in Adults; The Need to Define Sex-Specific Cut-Off Points for Anthropometric Indices

Due to the lack of full agreement as best indicators for obesity diagnosis and type, aim this study was assess comparative classification capabilities with use BIA results selected anthropometric indices in individuals aged 20–60 years. This a cross-sectional observational among 368 Caucasian subjects Body size four skinfolds measurement were taken. To individual body composition, bioelectrical impedance (BIA) method applied. The fat mass (FM, kg) fat-free (FFM, taken calculate FM/FFM, index (FMI), free (FFMI). Receiver-operating characteristic (ROC) curve analysis employed compare predictive power different differentiating adults. demonstrated confirmed need change approach commonly used such BMI (body index) or WHtR (waist-to-height ratio), which should lead establishment new criteria that will also be sex-specific, adult population. content become generally accepted indicator effective diagnosis, well screening, obesity.