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Biomedical and Environmental Sciences ; (12): 325-334, 2014.
Article in English | WPRIM | ID: wpr-270597

ABSTRACT

<p><b>OBJECTIVE</b>To study the effectiveness of waist circumference cut-off values in predicting the prevalence of metabolic syndrome (MetS) and risk factors in adults in China.</p><p><b>METHODS</b>A 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.</p><p><b>RESULTS</b>The 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.</p><p><b>CONCLUSION</b>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. 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.</p>


Subject(s)
Adult , Female , Humans , Male , Middle Aged , China , Epidemiology , Cross-Sectional Studies , Metabolic Syndrome , Diagnosis , Epidemiology , Obesity , Epidemiology , Prevalence , Risk Assessment , Risk Factors , Waist Circumference
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