江苏省代谢综合征相关危险因素研究

武鸣; 郭志荣; 杨婕; 周慧; 王培桦; 史祖民; 胡晓抒

Abstract

武鸣,郭志荣,杨婕,周慧,王培桦,史祖民,胡晓抒.江苏省代谢综合征相关危险因素研究[J].Chinese journal of Epidemiology,2007,28(6):536-539

江苏省代谢综合征相关危险因素研究

Study on the risk factors of metabolic syndrome ill Jiangsu proVince, China

DOI：

KeyWord: 代谢综合征患病率危险因素流行病学

English Key Word: Metabolic syndmme PrevaIence Risk factors Epidemiology

FundProject:卫生部科学研究基金资助项目(WKJ2004-2．014)

Author Name	Affiliation
WU Ming	Jiangsu Provincial Centre for Disease Control and Prevention, Nanjing 210009, China
GUO Zhi-rong	苏州大学放射医学与公共卫生学院
YANG Jie	Jiangsu Provincial Centre for Disease Control and Prevention, Nanjing 210009, China
ZHOU Hui	苏州工业园区疾病预防控制中心
WANG Pei-hua	Jiangsu Provincial Centre for Disease Control and Prevention, Nanjing 210009, China
SHI Zu-min	Jiangsu Provincial Centre for Disease Control and Prevention, Nanjing 210009, China
HU Xiao-shu	江苏省卫生厅

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Abstract:

目的分析江苏省代谢综合征(MS)相关危险因素。方法对江苏省12个地区的5888名成年人进行流行病学研究, 计算MS患病率和标化患病率, 并使用单因素和多因素logistic回归模型对相关危险因素进行分析。结果江苏省MS患病率、标化患病率分别为19.07%(男性11.10%, 女性25.72%)和17.48%(男性11.49%, 女性22.86%)。多因素条件logistic回归结果表明, 性别(OR=1.91)、年龄增加(OR=1.15)、久坐活动少(0R=1.94)、高血压家族史(OR=1.99)、肥胖家族史(0R=6.24)是MS独立的危险因素。结论MS已成为江苏省成年人群的重要公共卫生问题, 应尽早针对相关危险因素采取预防控制措施。

English Abstract:

0bjectiveTo explore the associated risk factors of metabolic syndrome in Jiangsu province, China.Methods Using identical protocol and questionnaire, an epidemiological study was carried out in a population of 5888 adults in 12 counties in Jiangsu.Anthropometric test and b100d sampling were conducted at the time of interview.IDF(2005)was used as the diagnostic criteria of metabolic syndrome. The prevalence and age-standardized prevalence of metabolic syndrome were calculated.Univariate and multivariate logistic regression model were used to identify associated risk factors. Results The prevalence and age-standardized prevalence of metab01ic syndrome in Jiangsu were 19.07%(11..1O% In males and 25.72%in females)and 17.48%(11.49%in males, 22.86%in females), respectively.Among the potential risk factors of metabolic syndrome as gender, age, education level, occupation, income, physical activity, smoking, alcohol drinking, disease family history, data from univariate and multivariate logistic regression analyses suggested that gender(OR=1.91), age(OR=1.15), physical inactivity(0R=1.94), with hypertension family history(OR=1.99)and with obesity family history(OR=6.24)could significantly increase the risk of disease development.Conclusion Metab01ic syndrome has become a significant public health problem among the adults h Jiangsu province.

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