InterASIA Collaboration Group: Prevalence of the metabolic syndrome and overweight among adults in China

Cardiovascular Institute and Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
The Lancet (Impact Factor: 45.22). 04/2005; 365(9468):1398-405. DOI: 10.1016/S0140-6736(05)66375-1
Source: PubMed

ABSTRACT The metabolic syndrome and obesity are major risk factors for cardiovascular disease. Little information exists on the prevalence of the metabolic syndrome in China. We aimed to provide up-to-date estimates of the prevalence of the metabolic syndrome and overweight in the general adult population in China.
We did a cross-sectional survey in a nationally representative sample of 15,540 Chinese adults aged 35-74 years in 2000-01. Metabolic syndrome was defined according to guidelines from the US National Cholesterol Education Program. Overweight was defined as body-mass index of 25.0 kg/m2 or greater.
The age-standardised prevalence of metabolic syndrome was 9.8% (95% CI 9.0-10.6) in men and 17.8% (16.6-19.0) in women. The age-standardised prevalence of overweight was 26.9% (25.7-28.1) in men and 31.1% (29.7-32.5) in women. The prevalence of the metabolic syndrome and overweight was higher in northern than in southern China, and higher in urban than rural residents.
Our results indicate that a large proportion of Chinese adults have the metabolic syndrome and that overweight has become an important public health problem in China. These findings emphasise the urgent need to develop national strategies for the prevention, detection, and treatment of overweight and the metabolic syndrome, to reduce the societal burden of cardiovascular disease in China.

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    • "In the case of a slightly elevated risk, people receive general lifestyle advice and a link to a detailed lifestyle test. It is known that people with low socio-economic status and health literacy tend to participate less in screening programmes (Bennett, Chen, Soroui, & White, 2009; Berkman, Sheridan, Donahue, Halpern, & Crotty, 2011; Dobbins, Simpson, Oldenburg, Owen, & Harris, 1998; Dryden, Williams, McCowan, & Themessl-Hube, 2012; Guerra, Krumholz, & Shea, 2005; Kobayashi, Wardle, & Von Wagner, 2014; White, Chen, & Atchison, 2008). Different reasons have been suggested, such as invitational materials being difficult to understand (Kobayashi et al., 2014). "
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    British Journal of Health Psychology 07/2015; DOI:10.1111/bjhp.12149 · 2.70 Impact Factor
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    • "The approximate prevalence of the metabolic syndrome in the general population and in those with schizophrenia is 15.1–23.7% (Ford et al., 2002; Gu et al., 2005) and 22.2–60.0%, (Kang et al., 2011; McEvoy et al., 2005; Sugawara et al., 2010), respectively. "
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    Progress in Neuro-Psychopharmacology and Biological Psychiatry 06/2015; DOI:10.1016/j.pnpbp.2015.06.008 · 4.03 Impact Factor
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    • "as control variables. Previous studies report that individuals located in urban, northern or coastal regions in China tend to have higher overweight/obesity prevalence than those living in rural, southern or inner regions (Cui et al. 2010, Gu et al. 2005, Ji and Cheng 2009, Reynolds et al. 2007). Three dummy variables are used to control for regional disparities. "
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    ABSTRACT: Previous studies have widely reported that the association between socioeconomic status (SES) and childhood overweight and obesity in China is significant and positive, which lends little support to the fundamental-cause perspective. Using multiple waves (1997, 2000, 2004 and 2006) of the China Health and Nutrition Survey (CHNS) (N = 2,556, 2,063, 1,431 and 1,242, respectively) and continuous BMI cut-points obtained from a polynomial method, (mixed-effect) logistic regression analyses show that parental state-sector employment, an important, yet overlooked, indicator of political power during the market transformation has changed from a risk factor for childhood overweight/obesity in 1997 to a protective factor for childhood overweight/obesity in 2006. Results from quantile regression analyses generate the same conclusions and demonstrate that the protective effect of parental state sector employment at high percentiles of BMI is robust under different estimation strategies. By bridging the fundamental causes perspective and theories of market transformation, this research not only documents the effect of political power on childhood overweight/obesity but also calls for the use of multifaceted, culturally-relevant stratification measures in testing the fundamental cause perspective across time and space. © 2015 Foundation for the Sociology of Health & Illness.
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