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Purpose: Obesity is a major public health issue and is associated with many metabolicabnormalities. Consequently, the assessment of obesity is very important. A new measurement, the body adiposity index (BAI), has recently been proposed to provide valid estimates of body fat percentages. The objective of this study was to compare the BAI and body mass index (BMI) as measurements of body adiposity and metabolic risk. Materials and Methods: This was a cross-sectional analysis performed on Korean women. The weight, height, and hip circumferences of 2950 women (mean age 25±5 years old, 18--39 years) were measured, and their BMI and BAI [hip circumference (cm)/height (m)1.5-18] values were calculated. Bioelectricimpedance analysis was used to evaluate body fat content. Glucose tolerancestatus was assessed with a 75-g oral glucose tolerance test, and insulin sensitivitywas estimated with the insulin sensitivity index. Results: BMI was more significantly correlated with fat mass and fat percentage. Additionally, BMI was also more significantly associated with metabolic parameters, including fasting glucose, post-load 2-h glucose, fasting insulin, post-load 2-h insulin, triglycerides, and high density lipoprotein cholesterol than BAI. Receiver operating characteristiccurve analysis revealed that BMI was a better tool for predicting body fat percentagethan BAI. Insulin sensitivity and metabolic syndrome were more significantlyassociated with BMI than with BAI. Conclusion: In Korean women, the current BMI-based classifications for obesity might be superior to BAI-based measurementsfor determining obesity and predicting metabolic risk.
