Effectiveness of different waist circumference cut-off values in predicting metabolic syndrome prevalence and risk factors in adults in China.

Hai Cheng Zhou; Ya Xin Lai; Zhong Yan Shan; Wei Ping Jia; Wen Ying Yang; Ju Ming LU; Jian Ping Weng; Li Nong JI; Jie Liu; Hao Ming Tian; Qiu He JI; Da Long Zhu; Li Chen; Xiao Hui Guo; Zhi Gang Zhao; Qiang LI; Zhi Guang Zhou; Jia Pu GE; Guang Liang Shan

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Effectiveness of different waist circumference cut-off values in predicting metabolic syndrome prevalence and risk factors in adults in China.

Author: Hai Cheng ZHOU ¹ ; Ya Xin LAI ¹ ; Zhong Yan SHAN ¹ ; Wei Ping JIA ² ; Wen Ying YANG ³ ; Ju Ming LU ⁴ ; Jian Ping WENG ⁵ ; Li Nong JI ⁶ ; Jie LIU ⁷ ; Hao Ming TIAN ⁸ ; Qiu He JI ⁹ ; Da Long ZHU ¹⁰ ; Li CHEN ¹¹ ; Xiao Hui GUO ¹² ; Zhi Gang ZHAO ¹³ ; Qiang LI ¹⁴ ; Zhi Guang ZHOU ¹⁵ ; Jia Pu GE ¹⁶ ; Guang Liang SHAN ¹⁷
Author Information

1. Department of Endocrinology and Metabolism, Institute of Endocrinology, Liaoning Provincial Key Laboratory of Endocrine Diseases, The First Affiliated Hospital of China Medical University, Shenyang 110001, Liaoning, China.
2. Department of Endocrinology and Metabolism, The Sixth Affiliated People's Hospital of Shanghai Jiaotong University, Shanghai 200233, China.
3. Department of Endocrinology and Metabolism, China-Japan Friendship Hospital, Beijing 100029, China.
4. Department of Endocrinology and Metabolism, Chinese People's Liberation Army General Hospital, Beijing 100853, China.
5. Department of Endocrinology and Metabolism, Sun Yat-sen University Third Hospital, Guangzhou 510630, Guangdong, China.
6. Department of Endocrinology and Metabolism, Peking University People's Hospital, Beijing 100044, China.
7. Department of Endocrinology and Metabolism, Shanxi Provincial People's Hospital, Taiyuan 030012, Shanxi, China.
8. Department of Endocrinology and Metabolism, Sichuan University West China Hospital, Chengdu 610041, Sichuan, China.
9. Department of Endocrinology and Metabolism, Fourth Military Medical University Xijing Hospital, Xi'an 710032, Shaanxi, China.
10. Department of Endocrinology and Metabolism, Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing 210008, Jiangsu, China.
11. Department of Endocrinology and Metabolism, Qilu Hospital of Shandong University, Jinan 250012, Shandong, China.
12. Department of Endocrinology and Metabolism, Peking University First Hospital, Beijing 100034, China.
13. Department of Endocrinology and Metabolism, Henan Provincial People's Hospital, Zhengzhou 450003, Henan, China.
14. Department of Endocrinology and Metabolism, Second Affiliated Hospital of Harbin Medical University, Harbin 150001, Heilongjiang, China.
15. Department of Endocrinology and Metabolism, Xiangya Second Hospital of Central South University, Changsha 410008, Hunan, China.
16. Department of Endocrinology and Metabolism, Xinjiang Uygur Autonomous Region Hospital, Urumqi 830001, Xinjiang, China.
17. Department of Epidemiology and Statistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing 100730, China.
Publication Type:Journal Article
Keywords: Central obesity; Metabolic syndrome; Waist circumference
MeSH: Adult; China; epidemiology; Cross-Sectional Studies; Female; Humans; Male; Metabolic Syndrome; diagnosis; epidemiology; Middle Aged; Obesity; epidemiology; Prevalence; Risk Assessment; Risk Factors; Waist Circumference
From: Biomedical and Environmental Sciences 2014;27(5):325-334
CountryChina
Language:English
Abstract:
OBJECTIVETo study the effectiveness of waist circumference cut-off values in predicting the prevalence of metabolic syndrome (MetS) and risk factors in adults in China.
METHODSA cross-sectional survey was condcuted in 14 provinces (autonomous region, municipality) in China. A total of 47,325 adults aged⋝20 years were selected by multistage stratified sampling, and questionnaire survey and physical and clinical examination were conducted among them. MetS was defined according to the International Diabetes Federation (IDF) criteria and modified IDF criteria.
RESULTSThe age-standardized prevalence of MetS was 24.2% (22.1% in men and 25.8% in women) and 19.5% (22.1% in men and 18.0% in women) according to the IDF criteria and modified IDF criteria respectively. The age-standardized prevalence of pre-MetS was 8.1% (8.6% in men and 7.8% in women) according to the modified IDF criteria. The prevalence of MetS was higher in urban residents than rural residents and in northern China residents than in southern China residents. The prevalence of central obesity was about 30% in both men and women according to the ethnicity-specific cut-off values of waist circumference for central obesity (90 cm for men and 85 cm for women). Multivariate regression analysis revealed no significant difference in risk factors between the two MetS definitions.
CONCLUSIONUsing both the modified IDF criteria and ethnicity-specific cut-off values of waist circumference can provide more useful information about the prevalence of MetS in China. Conclusion Using both the modified IDF criteria and ethnicity-specific cut-off values of waist circumference can provide more useful information about the prevalence of MetS in China.