烟台市社区老年人自测健康及影响因素分析

发布时间：2018-05-20 02:17

本文选题：老年人 + 自测健康　；参考：《现代预防医学》2017年20期

【摘要】：目的了解烟台市社区老年人自测健康现状,分析影响因素,为该人群的健康促进工作提供理论依据。方法采用整群抽样方法抽取研究对象,应用自测健康评定量表(SRHMS)及自制人口学资料问卷面对面访谈收集资料,共调查社区老年人412人,有效问卷353份;应用SAS9.1进行统计描述和非参数秩和检验。结果不同性别社区老年居民的自测心理健康得分差异有统计学意义(P0.05);不同年龄社区老年居民的自测生理健康、心理健康和自测整体健康得分差异有统计学意义(P0.05);不同文化程度和工作状态社区老年居民的自测生理健康、心理健康、社会健康和自测整体健康得分差异有统计学意义(P0.05);不同民族社区老年居民的自测社会健康得分差异有统计学意义(P0.05)。结论年龄、文化程度、工作状态是影响烟台市社区老年居民身心健康的因素,性别是影响心理健康的因素,民族对社会支持功能有影响。
[Abstract]:Objective to understand the status of self-rated health of the elderly in Yantai community and analyze the influencing factors so as to provide a theoretical basis for the health promotion of this population. Methods the data were collected by cluster sampling and self-rated health assessment scale (SRHMS) and self-made demographic data questionnaire. A total of 412 elderly people in the community were investigated with 353 valid questionnaires. The statistical description and nonparametric rank sum test were performed by SAS9.1. Results the scores of self-rated mental health of elderly residents in different gender communities were significantly different (P 0.05), and the self-rated physiological health of the elderly residents in different age communities were significantly different. The scores of mental health and self-rated overall health were significantly different (P 0.05), and the self-rated physical health and mental health of the elderly residents with different education level and working state were significant. The scores of social health and self-rated overall health were significantly different (P 0.05), and the scores of self-rated social health of elderly residents in different ethnic communities were significantly different (P 0.05). Conclusion Age, education level and working state are the factors that affect the physical and mental health of the elderly residents in Yantai community, gender is the factor affecting mental health, and nationality has an effect on the social support function.
【作者单位】：滨州医学院公共卫生与管理学院;滨州医学院;
【基金】：山东省统计科研重点课题(KT15192) 烟台市社会科学规划项目(ytsk2015-079)
【分类号】：R161.7

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