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蚌埠市居民自评健康状况及其影响因素分析
引用本文:朱乐乐, 朱高培, 孟马承, 吴学森. 蚌埠市居民自评健康状况及其影响因素分析[J]. 中华疾病控制杂志, 2018, 22(11): 1173-1176,1200. doi: 10.16462/j.cnki.zhjbkz.2018.11.019
作者姓名:朱乐乐  朱高培  孟马承  吴学森
作者单位:蚌埠医学院公共卫生学院流行病与卫生统计学教研室, 安徽 蚌埠 233030
基金项目:国家自然科学基金(81373100)
摘    要:目的 了解蚌埠市居民自评健康状况及其影响因素,为提高蚌埠市居民健康水平提供理论依据。方法 采用分层随机抽样的方法抽取蚌埠市不低于18岁常住居民,用自行设计的问卷进行调查,采用多分类Logistic回归对影响居民自评健康的因素进行分析。结果 在接受调查的3 294名居民中,1 536人(46.6%)自评健康为好,1 333人(40.5%)自评健康为一般,425人(12.9%)自评健康为差。多因素分析显示,与自评健康有关的因素有性别、学历、月收入、慢病家族史、现患慢病状况、两周患病情况、医疗保健费用占年收入比、饮酒、体育锻炼、心理健康状况(均有P<0.05)。结论 应加强对重点人群(如男性、低学历、低收入人群等)健康状况的关注,通过健康教育、心理干预等措施改善居民自评健康状况。

关 键 词:自评健康   影响因素   多分类Logistic回归
收稿时间:2018-04-18
修稿时间:2018-08-16

Analysis on the self-rated health status and influencing factors of Bengbu residents
ZHU Le-le, ZHU Gao-pei, MENG Ma-cheng, WU Xue-sen. Analysis on the self-rated health status and influencing factors of Bengbu residents[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2018, 22(11): 1173-1176,1200. doi: 10.16462/j.cnki.zhjbkz.2018.11.019
Authors:ZHU Le-le  ZHU Gao-pei  MENG Ma-cheng  WU Xue-sen
Affiliation:Department of Epidemiology and Biostatistics, School of Public Health, Bengbu Medical College, Bengbu 233030, China
Abstract:Objective To explore the self-rated health status of Bengbu residents and their influencing factors, and provide basis for improving the health level of Bengbu residents. Methods The stratified random sampling method was used to extract the residents who are not less than 18 years old at Bengbu, which conduct the survey with self-designed questionnaire, the data were analysed by multinomial Logistic regression factors of impacting on the health of the residents of self-rated health. Results Among the 3 294 residents, 1 536 (46.6%) individuals evaluated their health status as good, 1 333 (40.5%) as general, and 425 (12.9%) as poor. Multifactor analysis showed that the factors associated with self-reported health have gender, education, income, family history of chronic conditions, suffering from chronic conditions, reporting illness within 2 week, health care costs accounted for earning ratio, alcohol consumption, physical exercise, mental health status (all P<0.05). Conclusions Focus on the health of key groups, such as male, poor education, low income group, etc. Through health education, psychological intervention, residents can improve their self-evaluation of health.
Keywords:Self-rated health  Influencing factor  Multinomial logistic regression
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