Abstract
With the development of Internet of things technology, the smart elderly care mode is attracting more and more attention. Based on the questionnaire data of adult residents in some cities of Jiangsu Province, this paper analyzes the multiple linear regression model between the intelligent elderly care mode and its possible influencing factors. And it can be found that for participants aged 59 and under, their educational level, blood type, professional identity and age have a significant impact on intelligent old-age care mode. For participants aged 60 and over, only their educational level and age have a significant impact on the smart old-age care approach. Finally, this paper puts forward some suggestions about the development of industries related to intelligent elderly care to build an integrated intelligent community old-age care pattern, integrated pattern of intelligent home-based care or integrated smart home-based care service center, adjust and perfect the existing elderly care institutions, and improve intelligence old-age care institutions pattern to promote the development of intelligent industry related to smart elderly care.
Highlights
Some scholars have done some studies about health care services and mutual assistance in smart communities
1324 valid questionnaires were collected from people aged 59 and below, and 649 valid questionnaires were collected from elderly people aged 60 and above. In this questionnaire about elderly care, Internet of Thing technology can be reflected in smart community, smart home and smart elderly care institutions
According to the analysis of multiple linear regression model, we can know that age, educational level, blood type and occupational identity will have a significant impact on the intelligent aged care
Summary
Some scholars have done some studies about health care services and mutual assistance in smart communities. Salman, Salman, level, blood type and occupation of the respondents are Jahangirian, et al(2016) deemed that Smart Home taken as independent variables to conduct multiple linear technology is the future of the technology related to the regression. Some scholars have done their research on the influence of blood type and educational background on people's personality, because personality. Few scholars have done studies about the intelligent elderly care mode from the comprehensive perspective of blood type, age, educational level and occupational identity, so that is how this paper works. Zhang and Xu (2016) suggest that the factors influencing the demand of the elderly for intelligent care services involves financial situation, physical health, cultural lives and educational background[12]
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
