我国60岁及以上老年人口养老意愿及选择居家养老的影响因素分析

doi:10.3969/j.issn.1006-5253.2021.04.014

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Abstract Objective To learn about the pension willingness and factors affecting the choice of home care willingness of the elderly population, and to provide the evidence for improving life status of the elderly population, better providing full cycle services, and promoting healthy aging. Methods Data of the Sixth National Health Service Statistical Survey were used to analyze the nursing situation and pension willingness of the elderly population in different regions, different family conditions, different social demographic characteristics and different disability status, and logistic regression was used to analyze the influencing factors of the elderly population′s choice of homebased care. Results Eleven point eight percent of the elderly needed to be taken care of for their daily life, and daily care was provided 52.5% by spouses and 42.9% by children. And 90.7% of the elderly were inclined to home-based care, urban and rural areas, sex, age, marital status, educational level, family economic status, disability degree, the number of chronic diseases, family size were all influencing factors of elderly pension willingness. The probability of wanting home care was lower in urban areas than in rural areas (OR=0.625, 95%CI: 0.589-0.663); it was higher for men than for wornen(OR=1.122,95%CI:1.062-1.187); and it was higher for 70-79 years old (OR=1.219, 95%CI:1.147-1.296) and 80 years old and above (OR=1.598, 95%CI: 1.433-1.782) than for 60-69 years old; it was lower for unmarried (OR=0.476) and divorce (OR=0.600) than for married; it was lower for the elderly with educational levels of primary school (OR=0.742), junior middle school (OR=0.437), and senior high school or above（OR=0.352）than for those without literacy (P<0.01); it was higher for elderly people not living alone than for those living alone (P<0.01). Conclusion The elderly with older age, lower educational level, poor family economic status and large family size are more likely to hope for care at home.Combined with the elderly′s pension willingness, in view of the health status, nursing and care needs, it is necessary to establish and improve a service system based on family care, to explore the design of long-term care system, and to protect the health rights and interests of the elderly.

Key words： National Health Services Survey elderly population pension willingness

Received: 14 April 2021

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	Articles by authors
	Cai Min
	Zhang Yaoguang
	Xie Xueqin
	Wu Shiyong

Cite this article:

Cai Min,Zhang Yaoguang,Xie Xueqin, et al. Elserly people′s pension willingness and influencing factors of choosing home-based care of population aged 60 and above[J]. journal1, 2021, 28(4): 351-356.

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http://manu58.magtech.com.cn/Jwk_zgyytj/EN/10.3969/j.issn.1006-5253.2021.04.014 OR http://manu58.magtech.com.cn/Jwk_zgyytj/EN/Y2021/V28/I4/351

［1］中华人民共和国国家统计局．中华人民共和国2005年国民经济和社会发展统计公报［J］．中国统计，2006(3)：4-8． 
［2］国家卫生健康委统计信息中心. 全国第六次卫生服务调查指导手册［Ａ］. 北京: 国家卫生健康委统计信息中心，2018.
［3］国家卫生健康委统计信息中心. 2018年全国第六次卫生服务统计调查报告［M］.北京，人民卫生出版社，2021.
［4］蔡敏，谢学勤，吴士勇．我国老年人口健康状况及卫生服务利用［J］．中国卫生信息管理杂志，2021，18(1)：27-34．
［5］黄晓玲，陈炜，翁陈子恒，等．厦门市城乡老年人养老意愿及其影响因素分析［J］．中国卫生统计，2017，34(5)：729-732．
［6］张良文，曾雁冰，方亚，等．基于Andersen行为模型的厦门市老年人养老意愿及其影响因素研究［J］．中国卫生统计，2017，34(5)：721-725．
［7］张小伟，王莎莎，范依宁，等．山东省城市老年社区护理服务需求调查研究［J］．中国卫生统计，2018，35(3)：402-404．
［8］韩耀风，覃文峰，陈炜，等．adaptive LASSO logistic回归模型应用于老年人养老意愿影响因素研究的探讨［J］．中国卫生统计，2017，34(1)：18-22．
［9］姚有华，季晓颖，刘登．老年人口养老现状、养老意愿及其影响因素的调查研究：以上海市临汾街道为例［J］．中国社区医师，2020，36(1)：163-165．
［10］郭婕．居住特征对老年人养老意愿的影响因素分析：基于开封市508位中老年人的调查［J］．郑州轻工业学院学报(社会科学版)，2020，21(6)：41-49．
［11］柳红娟，徐凌忠，庞建美，等．山东省老年人养老意愿及影响因素分析［J］．中国卫生统计，2019，36(5)：669-673．
［12］韩晔，吕涌涛，苗红，等．济南市城区老年人养老服务需求及影响因素［J］．中国老年学杂志，2019，39(1)：224-227．
［13］郝姗姗．人口老龄化背景下我国社区居家养老服务发展面临的困境及对策分析［J］．产业与科技论坛，2020，19(7)：89-90．
［14］李珍．关于完善老年服务和长期护理制度的思考与建议［J］．中国卫生政策研究，2018，11(8)：1-7．