摘要
目的了解重庆市社区居民代谢综合征(Metabolic Syndrome,MS)的患病情况及主要危险因素,为MS的防治措施提供依据。方法通过分层整群抽样对9727名15岁～人群进行调查,计算MS患病率和标化患病率,比较不同年龄、性别的MS及各种代谢异常患病率,应用Logistic回归分析进行MS的危险因素分析。结果重庆市社区居民MS患病率为9.44%(标化患病率10.12%),男性8.25%(标化率9.03%),女性为10.50%(标化率10.96%),随着年龄的增长患病率呈增加趋势;血脂紊乱、高血压、超重肥胖、高血糖分别为34.95%,22.34%,19.56%和7.09%。多因素Logistic回归分析结果表明,性别(OR=1.40)、年龄增加(OR=1.64)、吸烟(OR=1.39)、经常参加体育锻炼(OR=0.70)、高血压家族史(OR=2.13)、糖尿病家族史(OR=3.20)是MS独立的危险因素。结论MS已成为重庆市社区居民患病的主要疾病之一,应尽早针对相关危险因素采取预防控制措施。
Objective To investigate the prevalence and related risk factors of metabolic syndrome（MS） among commu- nity residents in Chongqing,so as to provide basis for prevention and control measures. Methods Overall 9 727 people above 15 years old were selected by stratified cluster sampling and investigated. The prevalence and age-standardized prevalence of metabolic syndrome were calculated. Logistic regression was used to analyze relevant risk factors. Results The prevalence and standardized prevalence of metabolic syndrome in the subjects were 9. 44% （8. 25% in male and 10. 50% in female）and 10. 12% （9. 03% in male,10. 96% in female）,respectively. There was a augment tendency of MS prevalence along with the increase of age. The incidences of MS associated abnormity were 34.95% for dyslipidoses ,22. 34% for hypertension, 19. 56% for over weight/obesity and 7.09% for high blood sugar. Univariate and multivariate logistic regression analysis suggested that gender （ OR = 1.40）, age （ OR = 1.64 ）, physical inactivity （ OR = 0. 70 ）, with family hypertension history （ OR = 2. 13 ） and with family diabetes history （ OR = 3. 20） could significantly increase the risk of MS. Conclusion Metabolic syndrome has become a significant public health problem among the adults in Chongqing. Early screening in community populations to find out high-risk MS groups and behaviors is an important measure for MS prevention and control.
出处
《中国公共卫生》
CAS
CSCD
北大核心
2009年第6期697-699,共3页
Chinese Journal of Public Health
基金
重庆市科技计划软课题(200706)
第三军医大学科研创新基金(2007XG20)
关键词
代谢综合征
患病率
危险因素
metabolic syndrome （MS）
prevalence
risk factors
