Predictive Values of Anthropometric Measurements for Cardiometabolic Risk Factors and Cardiovascular Diseases Among 44 048 Chinese
Authors: Liu Jia , Tse Lap Ah , Liu Zhiguang , Rangarajan Sumathy , Hu Bo , Yin Lu , Leong Darryl P. , Li Wei , Liu Bing , Chen Chunming , Jin Guo , Zhang Hongye , Chen Hui , Bo Jian , Li Jian , Li Juan , Yang Jun , Wang Kean , Zhang Li , Deng Qing , Bing Ren , Chen Tao , Xu Tao , Wang Wei , Zhao Wenhua , Chang Xiaohong , Cheng Xiaoru , He Xinye , Hou Xixin , Wang Xingyu , Bai Xiulin , Zhao Xiuwen , Liu Xu , Jia Xuan , Wang Yang , Sun Yi , Zhai Yi , Chen Di , Jin Hui , Tian Jiwen , Ma Yumin , Li Yindong , He Chao , You Kai , Zhang Songjian , Tian Xiuzhen , Xu Xu , Di Jinling , Wu Jianquan , Wang Mei , Zhou Qiang , Han Aiying , Cao Minzhi , Jiang Weiping , Qiang Deren , Qin Jing , Qian Shan , Shi Suyi , Zhou Yihong , Liu Zhengrong , Wan Ming , Tang Jinhua , Mo Yongzhen , Bian Rongwen , Lou Qinglin , Hu Lihua , Xiong Shuwei , Zhong Yan , Li Ning , Tang Xincheng , Ye Shuli , Li Chunyi , Li Yujin , Wang Qiuyang , Fu Xiaoli , Guo Baoxia , Feng Huilian , Xu Lihui , Ma Haibin , Wu Ruiqi , Wang Yali , Liu Hongze , Ma Yurong , Yuan Bo , Zhao Qian , Xu Guofan , He Hui , Liu Jiankang , Wang Xin , Chen Ming , Deng Wenqing , Liu Zhendong , Zhang Hua , Sun Shangwen , Wang Shujian , Zhao Yingkin , Diao Yutao , Shi Xuezheng , Wei Chuanrui , Wang Jufang , Liu Guoqin , Wu Cuiying , Ma Guilan , Wei Hua , Wang Junying , Bao Xiongfei , Tang Yue , Zhi Yahong , Wang Ailing , Wang Huijuan , Liu Jianna , Liu Qinzhou , Wang Rong , Aili Aideer , Wula Ayoufumiti , Bula Aibi , Yang Dongmei , Wen Qian , Xiao Yize , Shi Qingping , Shao Ying , Li Kehua , Bai Wuba , Yang Jinkui , Liu Huaxing , Yang Shunyun 
Published: August 2019

Background

The predictive value of adiposity indices and the newly developed index for cardiometabolic risk factors and cardiovascular diseases (
CVD
s) remains unclear in the Chinese population. This study aimed to compare the predictive value of A Body Shape Index with other 5 conventional obesity‐related anthropometric indices (body mass index, waist circumference, hip circumference, waist‐to‐hip ratio, waist‐to‐height ratio) in Chinese population.

Methods and Results

A total of 44 048 participants in the study were derived from the baseline data of the
PURE
‐China (Prospective Urban and Rural Epidemiology) study in China. All participants’ anthropometric parameters,
CVD
s, and risk factors (dyslipidemia, abnormal blood pressure, and hyperglycemia) were collected by standard procedures. Multivariable logistic regression models and receiver operator characteristic curve analysis were used to evaluate the predictive values of obesity‐related anthropometric indices to the cardiometabolic risk factors and
CVD
s. A positive association was observed between each anthropometric index and cardiometabolic risk factors and
CVD
s in all models (
P
<0.001). Compared with other anthropometric indices (body mass index, waist circumference, hip circumference, waist‐to‐hip ratio, and A Body Shape Index), waist‐to‐height ratio had significantly higher areas under the curve (
AUC
s) for predicting dyslipidemia (
AUC
s: 0.646, sensitivity: 65%, specificity: 44%), hyperglycemia (
AUC
s: 0.595, sensitivity: 60%, specificity: 45%), and
CVD
s (
AUC
s: 0.619, sensitivity: 59%, specificity: 41%). Waist circumference showed the best prediction for abnormal blood pressure (
AUC
s: 0.671, sensitivity: 66%, specificity: 40%) compared with other anthropometric indices. However, the new body shape index did not show a better prediction to either cardiometabolic risk factors or
CVD
s than that of any other traditional obesity‐related indices.

Conclusions

Waist‐to‐height ratio appeared to be the best indicator for dyslipidemia, hyperglycemia, and
CVD
s, while waist circumference had a better prediction for abnormal blood pressure.