肥胖指标对天津地区成人代谢综合征的预测价值  

Predictive Value of Obesity Index to the Metabolic Syndrome among Tianjin Adults

作　　者：王亚莎[1] 李永辉[2] 方涛[3] 田凤石[2] 

机构地区：[1]天津市第四中心医院查体科,天津300140 [2]天津市第四中心医院心血管内科,天津300140 [3]天津市第四中心医院中心实验室,天津300140

出　　处：《中国医科大学学报》2017年第2期136-139,144,共5页Journal of China Medical University

基　　金：天津市卫生行业重点攻关项目(13KG117);天津市卫生局科技基金(2014KY05;2015KY06)

摘　　要：目的探讨肥胖相关指标对天津地区成人代谢综合征(MS)的预测价值。方法以552名天津地区常住居民为研究对象,进行代谢综合征横断面调查,记录性别、年龄,测量身高、体质量、腰围(WC)及臀围,留取血清样本,检测空腹血糖、甘油三酯、总胆固醇、高密度脂蛋白胆固醇水平等相关代谢指标。使用受试者工作特征曲线(ROC)评估比较体质量指数(BMI)、WC、腰围身高比(WHt R)、腰臀比(WHR)预测代谢综合征的价值。结果 WHt R预测MS的价值最大(最佳临界值为:0.509),其次为WC和BMI,而WHR的预测价值最小。不同年龄段BMI与WC预测MS的能力存在差异,在<40岁人群和≥60岁人群中,BMI对MS预测价值高于WC,而在40岁~<60岁人群中,WC对MS预测价值要高于BMI。结论在天津地区成人中,WHt R预测MS的价值优于BMI、WC和WHR,按照年龄分层可提高BMI和WC预测MS的价值。Objective To explore the predictive value of obesity-related index for metabolic syndrome （MS） among Tianjin adults. Methods A total of 522 adults who participated in a physical examination were included in this cross-sectional study. Participants＇ gender and age were record- ed, height, weight, waist circumference （WC） and hip circumference were measured, and TC, TG, HDL-C and FPG were tested. The receiver op- erating characteristic （ROC） curves were generated to identify the optimal measurement of obesity for the prediction of metabolic risk in this popu- lation. Results The area under the ROC curve （AUC） value for waist-to-height ratio （WHtR） predicted the maximum value of MS, followed by WC and BMI, and WHR was the lowest. The optimal cut off value of WHtR was 0.509. There was significant difference in the ＇ability of BM1 be- tween different age groups and WC to predict MS. In the groups of 〈40 years old and ~60 years old, BMI had higher predictive value tot MS than WC. Conclusion WHtR has the best predictive value for evaluating the MS risk compared to BMI, WC or WHR alone among Tianjin adults. The predictive value of BMI and WC for evaluating the MS risk can be improved by the method of age stratification.

关 键 词：代谢综合征 受试者工作特征曲线 腰围身高比 体质量指数 腰围 腰臀比 

分 类 号：R181.3[医药卫生—流行病学]