Purpose: The rising prevalence of severe obesity in South Korea highlights an increased risk of type 2 diabetes mellitus (T2DM), emphasizing the need for early detection and comprehensive management strategies. This study investigates the use of anthropometric measurements to predict T2DM. Methods: This study included 72 severely obese participants (BMI ≥35 kg/m²). Anthropometric measurements were conducted using a bioelectrical impedance analyzer. The body mass index (BMI), waist-hip ratio (WHR), body roundness index (BRI), and body shape index (ASBI) were calculated as a previously reported formula. Serum analysis was conducted for the diagnosis of T2DM based on fasting blood glucose (FBS) and HbA1c levels, and participants taking diabetes medication were categorized into the diabetes group regardless of whether they met the diagnostic criteria. Results: The mean BMI was 39.07 kg/m², and the average age was 37.09 ± 11.20 years. Significant differences between the non-T2DM and T2DM groups were found in anthropometric measures; body weight, hip circumference, WHR, ASBI, BRI, and serum markers; HbA1c, FBS, high-density lipoprotein cholesterol, and triglycerides. Logistic regression identified age (p < .001; OR, 1.12; 95% CI, 1.05-1.19) and WHR (p = .024; OR, 3.11; 95% CI, 2.56-5.43) as significant predictors of T2DM, supported by receiver operating characteristic (ROC) curves showing area under the curves (AUCs) of 0.79 for age and 0.72 for WHR. Conclusion: Using age and WHR offers a practical approach to predicting T2DM risk in obese patients, particularly those classified as class II to III obesity.
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