Diagnostic Analysis of Body Roundness Index as Prediabetes Predictor in Indonesian Adult
Background: Excess weight is highly correlated with insulin resistance. Thus, anthropometric measurements for the identification of body fat could be used to screen individuals with prediabetic risk. Purpose: To compare the ability of body roundness index (BRI), conicity index (C-index), body mass index (BMI), waist circumference, and waist-to-height ratio (WHtR) diagnostics as prediabetic predictors in Indonesian adults. Methods: A cross-sectional study using secondary data from the Baseline Health Research (Ind: Riskesdas) 2018. As many as 12,327 samples were analyzed using the descriptive analysis and area under the curve compared to evaluate the ability of anthropometric parameters diagnostics as a prediabetic predictor. Results: The five anthropometric parameters have a very weak ability as prediabetic predictor. The WHtR and BRI (AUCmale = 0.571; AUCfemale = 0.573) were significantly better than the other anthropometric parameters. On the other side, C-index (AUCfemale = 0.548; AUCmale = 0.560) was significantly weaker than the other anthropometric parameters in women but not significantly different with waist circumference (AUC = 0.564) and BMI (AUC = 0.559) in men. Conclusion: The body roundness index has the same ability to predict prediabetic with WHtR, while C-index in women is weaker than waist circumference and BMI.
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