Aging has become a common global problem,and the speed of China's aging is accelerating,while the solution of rural elderly care is even more urgent.Based on 202 questionnaires from 4 towns and 6 villages in Mengjin District,Luoyang City,Henan Province,a binary logistic regression model is used to construct a model for choosing rural elderly care mode with 15 indicators from 4 dimensions of basic characteristics,economic characteristics,psychological characteristics,and social support characteristics.The study shows that:among the basic characteristics,educational level,gender,marital status,living conditions,number of children,source of family income,monthly income,and stability have certain influences on the choice of elderly care mode;among the psychological characteristics,concerns about lack of care will affect the choice between institutional and mutual assistance elderly care;among the social support characteristics,satisfaction with social pension insurance subsidies will impact community-based home care.In the family elderly care model,gender and age have a significant positive effect on model selection,while education level and residence situation have a significant negative effect.In the institutional elderly care model,gender,age,education level,marriage,family income source,and monthly family income have a significant positive effect on model selection,while fear of abandonment and satisfaction with social pension insurance subsidies have a significant negative effect.In the case of the community elderly care model,education level,residence situation,number of children,daycare,fear of being left unattended,and satisfaction with social pension insurance subsidies have a significant positive effect on model choice,while the source of family income,age,and stability of income sources have a significant negative effect.In the mutual aid elderly care model,gender,marriage,living conditions,and concerns about being left unattended have a significant positive effect,while satisfaction with social pension insurance subsidies has a significant negative effect.
aging populationrural elderly carefamily elderly carecommunity home-based elderly careinstitutional elderly caremutual assistance for elderly care
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