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An exploratory discrete-time multilevel analysis of the effect of social support on the survival of elderly people in China

An exploratory discrete-time multilevel analysis of the effect of social support on the survival of elderly people in China
An exploratory discrete-time multilevel analysis of the effect of social support on the survival of elderly people in China
This study undertakes a survival analysis of elderly persons in China using Chinese Longitudinal Healthy Longevity Survey 2002–2008. Employing discrete-time multilevel models, we explored the effect of social support on the survival of elderly people in China. This study focuses on objective (living arrangements and received support) and subjective activities (perceived support) of social support, finding that the effect of different activities of social support on the survival of elderly people varies according to the availability of different support resources. Specifically, living with a spouse, financial independence, perceiving care support from any resource is associated with higher survival rates for elderly people. Separate analysis focusing on urban elderly and rural elderly revealed broadly similar results. There is a larger difference between those perceiving care support from family or social service and not perceiving care support in urban areas comparing to those in rural areas. Those who cannot pay medical expenses are the least likely to survive. The higher level of economic development in province has no significant effect on the survival of elderly people for the whole sample model and the elderly people in urban areas; however, there is a negative influence on the survival of the rural elderly people.
china, discrete-time multilevel analysis, survival, social support
0277-9536
181-189
Feng, Zhixin
33c0073f-a67c-4d8a-9fea-5a502420e589
Jones, Kelvyn
0df468d5-eeec-4694-8415-352df0e2e36e
Wang, Wenfei
759530b4-eab2-4070-a7e1-be9020810137
Feng, Zhixin
33c0073f-a67c-4d8a-9fea-5a502420e589
Jones, Kelvyn
0df468d5-eeec-4694-8415-352df0e2e36e
Wang, Wenfei
759530b4-eab2-4070-a7e1-be9020810137

Feng, Zhixin, Jones, Kelvyn and Wang, Wenfei (2015) An exploratory discrete-time multilevel analysis of the effect of social support on the survival of elderly people in China. Social Science & Medicine, 130, 181-189. (doi:10.1016/j.socscimed.2015.02.020).

Record type: Article

Abstract

This study undertakes a survival analysis of elderly persons in China using Chinese Longitudinal Healthy Longevity Survey 2002–2008. Employing discrete-time multilevel models, we explored the effect of social support on the survival of elderly people in China. This study focuses on objective (living arrangements and received support) and subjective activities (perceived support) of social support, finding that the effect of different activities of social support on the survival of elderly people varies according to the availability of different support resources. Specifically, living with a spouse, financial independence, perceiving care support from any resource is associated with higher survival rates for elderly people. Separate analysis focusing on urban elderly and rural elderly revealed broadly similar results. There is a larger difference between those perceiving care support from family or social service and not perceiving care support in urban areas comparing to those in rural areas. Those who cannot pay medical expenses are the least likely to survive. The higher level of economic development in province has no significant effect on the survival of elderly people for the whole sample model and the elderly people in urban areas; however, there is a negative influence on the survival of the rural elderly people.

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e-pub ahead of print date: 16 February 2015
Published date: April 2015
Keywords: china, discrete-time multilevel analysis, survival, social support
Organisations: Gerontology

Identifiers

Local EPrints ID: 375023
URI: http://eprints.soton.ac.uk/id/eprint/375023
ISSN: 0277-9536
PURE UUID: a0c71eed-1eef-46da-8607-0e88bcc4594b

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Date deposited: 10 Mar 2015 11:58
Last modified: 14 Mar 2024 19:18

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Contributors

Author: Zhixin Feng
Author: Kelvyn Jones
Author: Wenfei Wang

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