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Open Access Highly Accessed Research article

Prevalence of metabolic syndrome among urban community residents in China

Guang-Rong Wang1, Li Li23*, Yi-Hui Pan4, Guo-Dong Tian5, Wan-Long Lin6, Zhe Li1, Zheng-Yi Chen2, You-Long Gong7, George E Kikano2, Kurt C Stange238, Ke-Liang Ni6 and Nathan A Berger39

Author Affiliations

1 Zhabei District Health Bureau, Shanghai, People’s Republic of China

2 Department of Family Medicine, School of Medicine, Case Western Reserve University, Cleveland, OH, USA

3 Case Comprehensive Cancer Center, Case Western Reserve University/University Hospitals Case Medical Center, Cleveland, OH, USA

4 Zhabei District Community Health Management Center, Shanghai, People’s Republic of China

5 Zhabei District Information Management Center, Shanghai, People’s Republic of China

6 Shibei Hospital, Zhabei District, Shanghai, People’s Republic of China

7 School of Public Health, Fudan University, Shanghai, People’s Republic of China

8 Departments of Epidemiology & Biostatistics and Sociology, Case Western Reserve University, Cleveland, OH, USA

9 Department of Medicine, School of Medicine, Case Western Reserve University, Cleveland, OH, USA

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BMC Public Health 2013, 13:599  doi:10.1186/1471-2458-13-599

Published: 20 June 2013

Abstract

Background

Metabolic risk factors and abnormalities such as obesity and hypertension are rapidly rising among the Chinese population following China’s tremendous economic growth and widespread westernization of lifestyle in recent decades. Limited information is available about the current burden of metabolic syndrome (MetS) in China.

Methods

We analyzed data on metabolic risk factors among 22,457 adults aged ≥ 32 years participating in the “Zhabei Health 2020” survey (2009–2010), a cross-sectional study of a representative sample of community residents in Zhabei District. We defined MetS using Chinese-specific cut-off points for central obesity according to consensus criteria recently endorsed by several international and national organizations in defining MetS in different populations worldwide. We used a multiple logistic regression model to assess the associations of potential risk factors with MetS.

Results

The unadjusted prevalence of the MetS was 35.1% for men and 32.5% for women according to the consensus criteria for Chinese. The prevalence increased progressively from 12.1% among participants aged 32–45 years to 45.4% among those aged ≥ 75 years. Age, smoking, family history of diabetes, and education are significantly associated with risk of MetS.

Conclusions

The MetS is highly prevalent and has reached epidemic proportion in Chinese urban adult community residents.

Keywords:
Metabolic syndrome; Prevalence; Population-based survey; China