1. Predictive Values of Anthropometric Measurements for Cardiometabolic Risk Factors and Cardiovascular Diseases Among 44 048 Chinese
- Author
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Jia Liu, Lap Ah Tse, Zhiguang Liu, Sumathy Rangarajan, Bo Hu, Lu Yin, Darryl P. Leong, Wei Li, Bing Liu, Chunming Chen, Guo Jin, Hongye Zhang, Hui Chen, Jian Bo, Jian Li, Juan Li, Jun Yang, Kean Wang, Li Zhang, Qing Deng, Ren Bing, Tao Chen, Tao Xu, Wei Wang, Wenhua Zhao, Xiaohong Chang, Xiaoru Cheng, Xinye He, Xixin Hou, Xingyu Wang, Xiulin Bai, Xiuwen Zhao, Xu Liu, Xuan Jia, Yang Wang, Yi Sun, Yi Zhai, Di Chen, Hui Jin, Jiwen Tian, Yumin Ma, Yindong Li, Chao He, Kai You, Songjian Zhang, Xiuzhen Tian, Xu Xu, Jinling Di, Jianquan Wu, Mei Wang, Qiang Zhou, Aiying Han, Minzhi Cao, Weiping Jiang, Deren Qiang, Jing Qin, Shan Qian, Suyi Shi, Yihong Zhou, Zhengrong Liu, Ming Wan, Jinhua Tang, Yongzhen Mo, Rongwen Bian, Qinglin Lou, Lihua Hu, Shuwei Xiong, Yan Zhong, Ning Li, Xincheng Tang, Shuli Ye, Chunyi Li, Yujin Li, Qiuyang Wang, Xiaoli Fu, Baoxia Guo, Huilian Feng, Lihui Xu, Haibin Ma, Ruiqi Wu, Yali Wang, Hongze Liu, Yurong Ma, Bo Yuan, Qian Zhao, Guofan Xu, Hui He, Jiankang Liu, Xin Wang, Ming Chen, Wenqing Deng, Zhendong Liu, Hua Zhang, Shangwen Sun, Shujian Wang, Yingkin Zhao, Yutao Diao, Xuezheng Shi, Chuanrui Wei, Jufang Wang, Guoqin Liu, Cuiying Wu, Guilan Ma, Hua Wei, Junying Wang, Xiongfei Bao, Yue Tang, Yahong Zhi, Ailing Wang, Huijuan Wang, Jianna Liu, Qinzhou Liu, Rong Wang, Aideer Aili, Ayoufumiti Wula, Aibi Bula, Dongmei Yang, Qian Wen, Yize Xiao, Qingping Shi, Ying Shao, Kehua Li, Wuba Bai, Jinkui Yang, Huaxing Liu, and Shunyun Yang
- Subjects
Male ,obesity ,Index (economics) ,Epidemiology ,Heart Valve Diseases ,Coronary Disease ,030204 cardiovascular system & hematology ,Body Mass Index ,0302 clinical medicine ,Risk Factors ,Cardiovascular Disease ,Medicine ,030212 general & internal medicine ,Original Research ,2. Zero hunger ,Cardiometabolic risk ,Anthropometry ,Middle Aged ,Predictive value ,Myocarditis ,Cardiovascular Diseases ,Obesity, Abdominal ,Hypertension ,Female ,Waist Circumference ,Cardiomyopathies ,Cardiology and Cardiovascular Medicine ,Adult ,China ,adiposity indices ,03 medical and health sciences ,Environmental health ,Humans ,Dyslipidemias ,Heart Failure ,Chinese population ,Hip ,Waist-Height Ratio ,Waist-Hip Ratio ,business.industry ,nutritional and metabolic diseases ,Arrhythmias, Cardiac ,Lifestyle ,medicine.disease ,cardiometabolic risk factors ,Obesity ,predictors ,Hyperglycemia ,business - Abstract
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 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.
- Published
- 2019