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长春朝阳区居民慢性病患病率及影响因素分析 被引量:22

Prevalence and influence factors of chronic diseases among adults in Chaoyang district of Changchun city
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摘要 目的了解吉林省长春市朝阳区居民慢性病患病情况并分析相关影响因素。为朝阳区制定有针对性的防制措施提供理论依据。方法采用多阶段分层随机整群抽样方法抽取747名18—79岁居民进行现场调查。所有统计分析均经复杂加权。结果2012年长春朝阳区居民慢性病总加权患病率为54.7%。排名前5位的依次是骨关节病(17.0%)、高血压(13.4%)、慢性胃肠炎(8.0%)、糖尿病(6.3%)、冠心病(5.5%)。多因素logistic回归分析显示,长春朝阳区居民骨关节病的影响因素为年龄、职业及体育锻炼;高血压的影响因素有年龄、职业、体育锻炼及体质指数;慢性胃肠炎的影响因素为家庭人均月收入;糖尿病的影响因素为年龄及体育锻炼;年龄和性别是冠心病的影响因素。结论长春朝阳区居民慢性病患病率处于较高水平。 Objective To study the prevalence of chronic diseases and its influencing factors among the residents in Chaoyang district of Changchun city in 2012, and to provide theoretical basis for making prevention and control strate- gies. Methods With multistage stratified random cluster sampling method,747 residents aged 18 to 79 years were selected for a questionnaire survey and physical examination. Complex weighted computation was used in data analyses. Results The prevalence of chronic diseases among the adults was 54. 7%. The top five prevalent diseases were osteoarthrosis ( 17.0% ) ,hypertension( 13.4% ), gastroenteritis ( 8. 0% ), diabetes ( 6. 3% ), and coronary heart disease ( 5.5% ). The results of multivariate logisitic regression showed that the influence factors for osteoarthrosis were age, occupation and physical exercise; the influence factors of hypertension were age, occupation, physical exercise, and body mass index (BMI) ;the influence factor of gastroenteritis was income;the influence factors of diabetes were age and physical exercise and age and gender were the influence factors of coronary heart disease. Conclusion The prevalence of chronic diseases among adults in Chaoyang district of Changchun city is at a high level. More attention should be paid to the chronic disease with high prevalence such as osteoarthrosis, hypertension, gastroenteritis, diabetes, and coronary heart disease.
出处 《中国公共卫生》 CAS CSCD 北大核心 2014年第6期735-739,共5页 Chinese Journal of Public Health
基金 吉林省卫生厅科研基金(2011Z116)
关键词 慢性病 患病率 影响因素 chronic disease prevalence influence factor
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