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成都市中老年人代谢综合征患病情况及其危险因素分析
引用本文:李望.成都市中老年人代谢综合征患病情况及其危险因素分析[J].中国公共卫生,2021(1):40-43.
作者姓名:李望
作者单位:成都职业技术学院
摘    要:目的了解四川省成都市中老年人代谢综合征(MS)患病情况及其危险因素,为MS的预防控制提供参考依据。方法于2015年10月—2018年12月采用分层随机抽样方法在成都市抽取7286名40~79岁中老年人进行问卷调查、体格检查和实验室检测。结果成都市7286名中老年人中,患MS者1967例,MS患病率为27.00%;多因素非条件logistic回归分析结果显示,有高血压家族史、有糖尿病家族史、中心性肥胖、高血压、糖耐量异常、糖尿病和高脂血症是成都市中老年人MS患病的独立危险因素。结论成都地区中老年人MS患病率较高,有高血压家族史、有糖尿病家族史、中心性肥胖、高血压、糖尿病、糖耐量异常、糖尿病和高脂血症的中老年人是该地区MS患病的高危人群。

关 键 词:代谢综合征(MS)  患病情况  影响因素  中老年人

Prevalence and risk factors of metabolic syndrome among middle-aged and elderly people in Chengdu city
LI Wang.Prevalence and risk factors of metabolic syndrome among middle-aged and elderly people in Chengdu city[J].Chinese Journal of Public Health,2021(1):40-43.
Authors:LI Wang
Institution:(Chengdu Vocational and Technical College,Chengdu,Sichuan Province 610072,China)
Abstract:Objective To examine the prevalence and risk factors of metabolic syndrome(MS)in middle-aged and elderly people in Chengdu city,Sichuan province,and to provide references for the prevention and control of MS.Methods Using stratified random sampling,we recruited 7286 permanent residents aged 40-79 years in 10 districts of Chengdu municipality and conducted questionnaire survey,physical examination and laboratory detection among the residents from October 2015 to December 2018.Results Among all the participants,1967 were diagnosed with MS and the MS prevalence was 27.00%.Unconditional multivariate logistic regression analysis demonstrated that familial history of hypertension,familial history of diabetes,central obesity,hypertension,abnormal glucose tolerance,diabetes,and hyperlipidemia are independent risk factors for MS among the participants.Conclusion In Chengdu city,the prevalence of MS is high among middle-aged and elderly people and the people with familial history of hypertension or diabetes,central obesity,hypertension,abnormal glucose tolerance,diabetes,and hyperlipidemia are at high risk of MS.
Keywords:metabolic syndrome  prevalence  influencing factor  middle-aged and elderly people
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