Optimal cut-off values for XXXX : using simple anthropometric indices to predict @entity65 factors in Taiwan.

@entity1 @entity101 @entity28 @entity6 @entity2299 @entity1674 @entity262 @entity65 @entity413 @entity165
BACKGROUND: The increased health risks associated with @entity28 have been found to occur in Asians at lower body mass indices (BMIs). To determine the optimal cut-off values for overweight or @entity28 in Taiwan, we examined the relationships between four anthropometric indices and @entity65 factors. METHODS: The data were collected from four health-screening centers from 1998 to 2000 in Taiwan. Included were 55 563 subjects (26 359 @entity1 and 29 204 @entity1 , mean age=37.3+/-10.9 and 37.0+/-11.1 y, respectively). None had known major @entity262 or were taking medication. Individual body weight, height, waist circumference (WC), and a series of tests related to @entity65 (blood pressure, fasting plasma @entity413 , @entity1674 , total @entity165 , low- and high-density lipoprotein @entity165 ) were assessed and their relationships were examined. Receiver operating characteristic (ROC) analysis was used to find out the optimal cut-off values of various anthropometric indices to predict @entity101 , @entity6 and @entity2299 . RESULTS: Of the four anthropometric indices we studied, waist-to-height ratio (WHtR) in @entity1 was found to have the largest areas under the ROC curve ( @entity1 =0.755, 95% CI 0.748-0.763) relative to at least one risk factor (ie @entity101 or @entity6 or @entity2299 ). The optimal cut-off values for overweight or @entity28 from our study in @entity1 and @entity1 showed that BMIs of 23.6 and 22.1 kg/m(2), WCs of 80.5 and 71.5 cm, waist-to-hip ratios (WHpR) of 0.85 and 0.76, and WHtR of 0.48 and 0.45, respectively, may be more appropriate in Taiwan. CONCLUSIONS: WHtR may be a better indicator for screening overweight- or @entity28 -related CVD risk factors than the other three indexes (BMI, WC and WHpR) in Taiwan. Our study also supported the hypothesis that the cut-off values using BMI and WC to define @entity28 should be much lower in Taiwan than in Western countries.
