河北大学学报(哲学社会科学版) ›› 2017, Vol. 42 ›› Issue (6): 154-160.DOI: 10.3969/j.issn.1005-6378.2017.06.021

• 养老服务专题研究 • 上一篇    

农村留守老人健康评价及影响因素的结构分析

杨素雯   

  1. 山东社会科学院 人口学研究所, 山东 济南 250002
  • 收稿日期:2017-08-16 出版日期:2017-12-20 发布日期:2017-12-20
  • 作者简介:杨素雯(1986—),女,山东聊城人,城市科学专业博士,山东社会科学院人口学研究所助理研究员,主要研究方向:老年人口健康和养老保障。
  • 基金资助:
    国家社会科学青年基金项目“老年人社区健康服务需求及实现路径研究”(15CRK014);山东省社科基金青年项目“日本养老模式变迁及对山东的启示”(14DRKJ01)

The Structural Analysis of Health Assessment and Its Related Factors of the Rural Left-behind Elderly

YANG Su-wen   

  1. Institute of Population Research, Shandong Academy of SocialSciences, Jinan, Shandong 250002, China
  • Received:2017-08-16 Online:2017-12-20 Published:2017-12-20

摘要: 目前,我国农村留守老人已成为一个日益庞大的特殊群体,其健康状况不容乐观,需要改善健康现状,以避免因老致贫、因病致贫和因病返贫。基于山东省农村地区的调查数据,使用结构方程模型分析了农村留守老人健康评价与其影响因素之间的结构关系。结果表明,农村留守老人的健康评价不仅与他们的收入水平、受教育程度息息相关,而且也受其家庭因素和当地社区医疗卫生服务的影响;这些影响因素均发挥了不同程度的直接或间接作用。因此,通过自身、家庭、社区和政府的合力,才能保障农村留守老人的基本生活,规避健康危险因素,提高农村留守老人的整体健康水平。

关键词: 农村留守老人, 健康评价, 影响因素, 结构方程分析

Abstract: In China, the scale of the rural left-behind elderly is expanding, but their health situation is not optimistic. We need to improve the health status of this group to avoid the old poverty, poverty due to illness and poverty reinstatement due to illness. In order to investigate the mechanism of relationships between health status and its determinations among the rural left-behind elderly, a questionnaire survey was conducted among elderly people left-behind in rural area of Shandong Province. Data analysis was performed using structural equation modeling to show the structural relationship between them. The results showed that socioeconomic status not only had direct impacts on health status, but also affected health status by community health service level. The related factors were showed different effects on health, including direct effect and indirect effect. Therefore, by forming a joint force of self, family, community and government, we can enhance basic social provision, avoid the risk factors of health in order to improve the health status of rural left-behind elderly.

Key words: rural left-behind elderly, health assessment, related factors, structural equation modeling

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