Prevalence Of Metabolic Syndrome In Beijing And Nanjing

PartⅠ:Prevalence of metabolic syndrome in Beijing and NanjingObjective:To compare the prevalence of the metabolic syndrome and its main components in the population of Beijing and Nanjing at the age of 35-70 years in China.Methods:8042 households from urban community and its relevant rural village were chosen using cluster sampling method during 2005～2006 in Beijing and Nanjing. Metabolic syndrome was defined according to the International Diabetes Federation consensus worldwide definition in 2005.Results:6132 participants were included in this analysis.The crude prevalence of metabolic syndrome was 29.6%.The age-standardized prevalence of metabolic syndrome was 19.5%for men and 33.6%for women(P＜0.0001),32.6%for Beijing and 21.9%for Nanjing(P＜0.0001) and 28.4%for urban residents and 27.0%for rural area(P＜0.0001),respectively.The prevalence of the metabolic syndrome increased with age(P trends＜0.0001).Conclusion:the prevalence of metabolic syndrome Chinese adults increased yearly and there is a significantly difference in the prevalence rate of metabolic syndrome between Beijing and Nanjing.These results also underscored the urgent need to develop strategy to improve the prevention,control and therapy of metabolic syndrome in China.A suitable diagnosis criterion for metabolic syndrome should be founded for Chinese population. PartⅡ:Multivariate analysis of the associated risk factors about metabolic syndrome in Beijing and NanjingObjective:To explore the associated risk factors of metabolic syndrome in Beijing and Nanjing.Methods:Using identical protocol and questionnaire,an epidemiological study was carried out in a population of 6123 adults in Beijing and Nanjing.IDF(2005)was used as the diagnostic criteria of metabolic syndrome.Univariate and multivariate logistic regression model were used to identify associated risk factors.Results:The age-standardized prevalence of metabolic syndrome in males and females were 19.5%and 33.6%,respectively.The results of multivariate logistic regression analyses displayed that female(OR=4.8298;95%CI[1.8958,12.3042]),age increasing(OR=1.0596;95%CI[1.0505,1.0689]),ever smoking(OR=1.3472;9 5%CI[1.0606,1.7113]),with diabetes family history(OR=1.4021;95%CI[1.1377, 1.7279]),with hypertension family history(OR=1.4377;95%CI[1.2528,1.6498]),the interaction of age and gender(OR=0.9482;95%CI[0.9316,0.9650]),live in Beijing(OR=1.7304;95%CI[1.5013,1.9946]) and the interaction of gender and urban or rural areas(OR=0.7143;95%CI[1.8958,12.3042]) could signifycantly increase the risk of disease development.Conclusions:Metabolic syndrome was the common results of a variety of risk factors.Female and with chronic disease family history are important risk factors.