摘要
目的了解厦门市老年人慢性病患病率、疾病谱及其影响因素。方法采用多阶段抽样方法调查厦门市60岁及以上老年人,用χ~2检验、趋势χ~2检验、非条件logistic回归进行数据分析。结果共调查14292人,慢性病患病率为63.3%,且随年龄增加而上升,女性高于男性,城市高于农村(P<0.001),同时患2种及以上慢性病的占31.9%;患病率前五位的慢性病为骨关节病(30.5%)、高血压(30.1%)、糖尿病(9.7%)、心脏病(7.9%)、胃肠胆囊疾病(7.6%),性别、年龄、城乡、婚姻状况、孤独感、自评健康是厦门市老年人慢性病发病的影响因素(P<0.05)。结论应重点关注骨关节病、高血压、糖尿病、心脏病和胃肠胆囊疾病对厦门市老年人健康的影响,尤其是骨关节病,并对多发慢性病进行有针对性的综合防控和管理。
Objective To examine the prevalence, disease spectrum of non-communicable chronic diseases and its risk factors among the elderly residents in Xiamen. Methods The elderly residents aged 60 or over in Xiamen were selected by stratified randomly sampling to analyze the spectrum of chronic disease. The data were analyzed by X2 test, trend X2 test and un- conditional logistic regression. Results A total of 14292 elderly were investigated. The prevalence of chronic diseases was 63.3 %. With the age increasing, the prevalence was also increased, the female residents had a higher prevalence compared with male,and the city was higher than the rural area（P 〈0. 001 ）. While suffering from two or more chronic diseases accounted for 31.9 %. The top 5 of the most prevalent chronic diseases were osteoarthritis （30. 5 % ）, hypertension （30. 1% ）, diabetes mellitus （9. 7% ）, heart disease （7.9%）, and gastrointestinal disease （7.6%）. Sex, age, residence, marital status, loneliness, self-rated health are the influencing factors of the elderly in Xiamen. Conclusion More attention should be paid to the impact of osteoar- thritis, hypertension, diabetes, heart disease and gastrointestinal gallbladder disease on the health of the elderly, especially osteoar- thritis, and targeted to multiple chronic diseases comprehensive prevention and control and management.
作者
韩耀风
王萍
方亚
Han Yaofeng;Wang Ping;Fang Ya(Key Laboratory of Health Technology Assessment of Fujian Province, School of Public Health ,Xiamen University（361102）,Xiamen)
出处
《中国卫生统计》
CSCD
北大核心
2017年第6期873-876,880,共5页
Chinese Journal of Health Statistics
基金
国家自然科学基金项目(81573257)
关键词
慢性病
患病率
疾病谱
影响因素
Chronic disease
prevalence
disease spectrum
influencing factors
