Identification of an obesity index for predicting metabolic syndrome by gender: the rural Chinese cohort study.

Identification of an obesity index for predicting metabolic syndrome by gender: the rural Chinese cohort study.
复制标题

确定按性别预测代谢综合征的肥胖指数:中国农村队列研究

DOI:
10.1186/s12902-018-0281-z
复制
发表时间:
2018-08-06
影响因子:
2.7
通讯作者:
Hu D
Hu D
中科院分区:
医学3区
文献类型:
--
作者:
Liu L;Liu Y;Sun X;Yin Z;Li H;Deng K;Chen X;Cheng C;Luo X;Zhang M;Li L;Zhang L;Wang B;Ren Y;Zhao Y;Liu D;Zhou J;Han C;Liu X;Zhang D;Liu F;Wang C;Hu D

文献摘要

参考文献

被引文献

相似文献

BackgroundTo compare the accuracy of different obesity indexes, including waist circumference (WC), weight-to-height ratio (WHtR), body mass index (BMI), and lipid accumulation product (LAP), in predicting metabolic syndrome (MetS) and to estimate the optimal cutoffs of these indexes in a rural Chinese adult population.MethodsThis prospective cohort involved 8468 participants who were followed up for 6 years. MetS was defined by the International Diabetes Federation, American Heart Association, and National Heart, Lung, and Blood Institute criteria. The power of the 4 indexes for predicting MetS was estimated by receiver operating characteristic (ROC) curve analysis and optimal cutoffs were determined by the maximum of Youden’s index.ResultsAs compared with WHtR, BMI, and LAP, WC had the largest area under the ROC curve (AUC) for predicting MetS after adjusting for age, smoking, drinking, physical activity, and education level. The AUCs (95% CIs) for WC, WHtR, BMI, and LAP for men and women were 0.862 (0.851–0.873) and 0.806 (0.794–0.817), 0.832 (0.820–0.843) and 0.789 (0.777–0.801), 0.824 (0.812–0.835) and 0.790 (0.778–0.802), and 0.798 (0.785–0.810) and 0.771 (0.759–0.784), respectively. The optimal cutoffs of WC for men and women were 83.30 and 76.80 cm. Those of WHtR, BMI, and LAP were approximately 0.51 and 0.50, 23.90 and 23.00 kg/m2, and 19.23 and 20.48 cm.mmol/L, respectively.ConclusionsWC as a preferred index over WHtR, BMI, and LAP for predicting MetS in rural Chinese adults of both genders; the optimal cutoffs for men and women were 83.30 and 76.80 cm.
DOI: 10.1186/1471-2261-5-26
发表时间: 2005-09-08
影响因子: 2.1
作者:
Kahn HS
通讯作者: Kahn HS
DOI: 10.1161/atvbaha.107.151092
发表时间: 2008-04-01
影响因子: 8.7
作者:
Grundy, Scott M.
通讯作者: Grundy, Scott M.
DOI: 10.1186/1471-2458-11-35
发表时间: 2011-01-13
期刊: BMC public health
影响因子: 4.5
作者:
Liu Y;Tong G;Tong W;Lu L;Qin X
通讯作者: Qin X
DOI: 10.1007/s10654-010-9459-z
发表时间: 2010-06-01
影响因子: 13.6
作者:
Hui, Wu Sheng;Liu, Zhong;Ho, Suzanne C.
通讯作者: Ho, Suzanne C.