Abstract
Objective to compare the prevalence and risk factors of metabolic syndrome (MS) in the population between 35–70s of Beijing and Nanjing in China. Methods 10,276 households from Beijing and Nanjing were chosen by cluster sampling during 2007–2008, IDF (2005) was used as the diagnostic criteria of MS. Multivariate logistic regression was used to identify associated risk factors. Results The age-standardized prevalence of MS was 32.6 versus 21.9 % in Beijing and Nanjing. The prevalence was higher in women than men, and higher in rural than urban. Multivariate logistic regression showed that female, age, longer sitting time, family history of diabetes and hypertension, the interaction of age and gender, living in Urban could significantly increase the risk of MS. Conclusions There was a huge difference in the prevalence rate of MS between subjects in Beijing and Nanjing. Female, family history and physical activities were important risk factors of MS.
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Liu, X., Liu, Y., Lan, X. (2013). Prevalence and Risk Factors of Metabolic Syndrome. In: Du, W. (eds) Informatics and Management Science I. Lecture Notes in Electrical Engineering, vol 204. Springer, London. https://doi.org/10.1007/978-1-4471-4802-9_95
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DOI: https://doi.org/10.1007/978-1-4471-4802-9_95
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