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Social support networks in Chinese older adults: health outcomes and health related behaviors: a path analysis.
- 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]
- Subjects :
- CHINESE people
PSYCHOLOGY
COMPUTER software
HEALTH behavior
HEALTH status indicators
INTERPERSONAL relations
LONGEVITY
LONGITUDINAL method
MATHEMATICAL models
PATH analysis (Statistics)
SOCIAL networks
SPOUSES
STATISTICS
SURVEYS
THEORY
DATA analysis
MULTIPLE regression analysis
SECONDARY analysis
SOCIAL support
DESCRIPTIVE statistics
ONE-way analysis of variance
Subjects
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