The health of the elderly has become a growing concern as the aging population increases. Self-reported health is a widely used measure of health status through individuals. This study has utilized data from Nepal Ageing Survey 2015 which is the biggest survey on aging in Nepal till now. This study includes seven major composite variables: demographic, socio-cultural, economic, support and care, modernization, living arrangement, and health-related variables. There are altogether 40 independent variables under these composite variables. Regarding the health status of elderly people by differentiating along with the most significant variables the binary logistic regression analysis is used where only the 11 most significant variables are selected for the purpose of the best-fitting model. They are; age, sex, literacy status, acceptance of advice of household members, religion, working wage job, the sufficiency of property, nutrition, caring condition, enthusiasm, and medical treatment receiving status. This research has identified the major eleven factors which have a significant positive impact on elderly health based on large-scale national data for the first time in the history of Nepal.
Male elderly are more likely to be in good health condition than females. Low educational attainment increases the chances of reporting poor health. Age structure, Advice accepted in the family, religion, working wage jobs, sufficient food, and property, receiving medical treatment facilities, and proper care as per the elderly interest, and enthusiasm are the major predictor variables to support the good health of elderly people.

Authors:
Mahendra Prasad Sharma, Tribhuvan University, Nepal

About the Presenter(s)
Dr. Mahendra Prasad Sharma is a Professor at the Central Department of Population Studies, Tribhuvan University, Kathmandu. He has Ph.D. in Ageing. His interest is aging, fertility and migration. He guides MA, and MPhil leading to Ph.D. students.

Connect on Linkedin
https://www.linkedin.com/in/mahendra-sharma-46847162/

Connect on ResearchGate
https://www.researchgate.net/profile/Mahendra-Sharma-4

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