Predictive values of anthropometric measurements for multiple metabolic disorders in Asian populations.

Objective: Asians have a unique feature characterized by a low frequency of obesity, but a high frequency of diabetes and metabolic syndrome. It is important to develop simple and reliable anthropometric measurement tools for multiple metabolic disorders, but the cut-off values of anthropometric measurements for Asians have been less clear than those for Caucasians.

Research Design: Data from 361 Japanese and 252 Mongolians aged 30-60 years were investigated for the relationship between multiple metabolic disorders parameters and anthropometric measurements. Pearson's correlation coefficients and receiver operating characteristic (ROC) analysis were done.

Results: Mongolians of both genders had significantly higher values for all anthropometric measurements than did the Japanese. The Japanese anthropometric measurements showed the highest correlation coefficient of the area under the curve (AUC) from an ROC analysis for HDL-C and triglyceride, while the Mongolians showed the highest values for HOMA-IR. BMI and waist circumference (WC) for both ethnic groups showed relatively higher AUCs for the multiple metabolic disorders parameters. Optimal cut-off values predicting multiple metabolic disorders in the Japanese were estimated at 24 BMI and 82 cm WC (men) and 23 BMI and 73 cm WC (women); for the Mongolian, 27 BMI and 92 cm WC (men) and 27 BMI and 84 cm WC (women).

Conclusions: There were great differences in diagnostic accuracy for the anthropometric measurements by ethnicity, and a relatively lower magnitude of differences by kind of anthropometric measurement. The present study suggests that BMI and WC were useful for predicting multiple metabolic disorders in non-diabetic Mongolians and Japanese, while the use of plasma triglyceride and HDL-cholesterol levels in combination with BMI and WC may enhance the ability of predicting metabolic parameters in the Japanese.