Literature DB >> 24827716

Optimal waist circumference cut-off values for identifying metabolic risk factors in middle-aged and elderly subjects in Shandong Province of China.

Xin Guo Hou1, Chuan Wang1, Ze Qiang Ma2, Wei Fang Yang3, Ji Xiang Wang3, Cheng Qiao Li4, Yu Lian Wang4, Shu Min Liu4, Xiu Ping Hu4, Xiu Ping Zhang5, Mei Jiang5, Wei Qing Wang6, Guang Ning6, Hui Zhen Zheng1, Ai Xia Ma1, Yu Sun1, Jun Song1, Peng Lin1, Kai Liang1, Fu Qiang Liu1, Wen Juan Li1, Juan Xiao1, Lei Gong1, Mei Jian Wang1, Ji Dong Liu1, Fei Yan1, Jun Peng Yang1, Ling Shu Wang1, Meng Tian1, Ru Xing Zhao1, Ling Jiang1, Li Chen1.   

Abstract

OBJECTIVE: To study the optimal waist circumference (WC) cut-off values for identifying metabolic risk factors in middle-aged and elderly subjects in Shandong Province of China.
METHODS: A total of 2,873 men and 5,559 women were included in this cross-sectional study. Metabolic syndrome (MetS) was diagnosed according to the definition of Chinese Diabetes Society in 2004. The relation between WC and MetS was analyzed by multivariate logistic regression analysis. The optimal WC cut-off values were identified using the area under the ROC curve and the different diagnostic criteria for central obesity were compared.
RESULTS: The WC was the risk factor for MetS independent of BMI, blood glucose, blood lipid, and blood pressure. The optimal WC cut-off value was 83.8 cm and 91.1 cm for identifying MetS in women and men, respectively. Compared with 80 cm and 85 cm for women and men, 85 cm and 90 cm had a higher Youden index for identifying all metabolic risk factors and MetS in women and men.
CONCLUSION: The appropriate WC cut-off value is 85 cm and 90 cm for identifying central obesity and MetS in women and men in Shandong Province of China.
Copyright © 2014 The Editorial Board of Biomedical and Environmental Sciences. Published by China CDC. All rights reserved.

Entities:  

Keywords:  Central obesity; Metabolic syndrome; Waist circumference

Mesh:

Year:  2014        PMID: 24827716     DOI: 10.3967/bes2014.060

Source DB:  PubMed          Journal:  Biomed Environ Sci        ISSN: 0895-3988            Impact factor:   3.118


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