Back to Search Start Over

Social support networks in Chinese older adults: health outcomes and health related behaviors: a path analysis.

Authors :
Xiao, Qi
Wu, Meiliyang
Zeng, Tieying
Source :
Aging & Mental Health; Oct2019, Vol. 23 Issue 10, p1382-1390, 9p, 1 Diagram, 5 Charts, 1 Graph
Publication Year :
2019

Abstract

Background: Population aging is a social and economic concern for China. It is essential to understand types of social support networks available to elderly people living in China. Objectives: The aim of this research was to identify network types among Chinese older adults and to examine the differential relationship of the network types, health outcomes and health-related behaviors. Methods: Secondary analysis of data compiled by the Chinese Longitudinal Healthy Longevity Survey (n = 9749) was extracted. Network types were derived through latent class analysis with Mplus 6.12 software. Statistical analysis included descriptive statistics, one-way ANOVA, multiple logistic regression and path analysis. Results: Four types of social networks were identified, these included private (16%), non-couple-focused (15%), couple-focused (47%) and diverse (22%). Compared with elders belonging to other networks, elders in diverse network possessed the healthiest status and the highest health-related behaviors score. Health-related behaviors played a role in mediating social network types to health outcomes was identified. Findings were aligned to the conceptual model pathway proposed by Berkman (2000). Conclusion: The findings demonstrate that types of social networks for elders are significantly correlated to health-related behaviors and health outcomes. Detail and understanding of the correlations are useful to inform healthcare practice and policy and to assist the development of appropriate interpersonal interventions. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
13607863
Volume :
23
Issue :
10
Database :
Complementary Index
Journal :
Aging & Mental Health
Publication Type :
Academic Journal
Accession number :
138051526
Full Text :
https://doi.org/10.1080/13607863.2018.1488941