Optimal Waist Circumference Cut-off values for Identifying Metabolic Risk Factors in Middle-aged and Elderly Subjects in Shandong Province of China

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• 作者：Xin Guo HOU^a ; ^{鈦?/sup>Author Vitae} ; Chuan WANG^a ; ^{鈦?/sup>Author Vitae} ; Ze Qiang MA^b ; Wei Fang YANG^c ; Ji Xiang WANG^c ; Cheng Qiao LI^d ; Yu Lian WANG^d ; Shu Min LIU^d ; Xiu Ping Hu^d ; Xiu Ping ZHANG^e ; Mei JIANG^e ; Wei Qing WANG^f ; Guang NING^f ; Hui Zhen ZHENG^a ; Ai Xia MA^a ; Yu SUN^a ; Jun SONG^a ; Peng LIN^a ; Kai LIANG^a ; Fu Qiang LIU^a ; Wen Juan LI^a ; Juan XIAO^a ; Lei GONG^a ; Mei Jian WANG^a ; Ji Dong LIU^a ; Fei YAN^a ; Jun Peng YANG^a ; Ling Shu WANG^a ; Meng TIAN^a ; Ru Xing ZHAO^a ; Ling JIANG^a ; ^{jiangling76@medmail.com.cn" class="auth_mail} ; Li CHEN^a ; ^{chenli3@medmail.com.cn" class="auth_mail}
• 关键词：Waist circumference ; Metabolic syndrome ; Central obesity
• 刊名：Biomedical and Environmental Sciences
• 出版年：May 2014
• 年：2014
• 卷：27
• 期：5
• 页码：353-359
• 全文大小：381 K

文摘

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.