JOURNAL ARTICLE

Prevalence of metabolic syndrome and factors associated with its components in Chinese adults

Hui Zuo, Zumin Shi, Xiaoshu Hu, Ming Wu, Zhirong Guo, Akhtar Hussain
Metabolism: Clinical and Experimental 2009, 58 (8): 1102-8
19481771
The purpose of this study was to assess the prevalence of metabolic syndrome (MetS) and its components among middle-aged and elderly adults in Jiangsu province, China. Moreover, factors associated with MetS were also assessed. A population-based cross-sectional survey was conducted with 4 randomly selected areas including both urban and rural areas from Jiangsu province, China. After the procedure, 3914 adults aged 35 to 74 years were included in the study. Metabolic syndrome was defined by the modified National Cholesterol Education Program Adult Treatment Panel III report. Data were collected by interviewer-administered questionnaire, biophysical assessment, and biochemical examination. Crude and age-standardized prevalence of MetS was 31.5% and 30.5%, respectively. Prevalence rate increased significantly with age in female but not in male subjects, whereas this was true for both sexes with increased body mass index. High blood pressure was the most prevalent component of MetS (45.2%), followed by elevated triglycerides (40.1%) and low high-density lipoprotein cholesterol (40.1%). Multivariate ordinal regression analysis revealed that women had significantly higher risk of MetS than men (odds ratio = 1.72, P < .001). Older age, living in urban area, income, family history of diabetes, and family history of hypertension were positively associated with MetS risk. However, higher education and tea drinking everyday were found to be negatively associated with MetS (P < .05). Moreover, substantial agreement (kappa = 0.79) was found between the International Diabetes Federation and modified Adult Treatment Panel III criteria among 3 comparisons of MetS definitions. Metabolic syndrome was highly prevalent in middle-aged and elderly Chinese population in Jiangsu province. Community-based strategies for diet and lifestyle modifications are strongly suggested, especially in women and the elderly.

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