Prediction Modeling on Family Life Satisfaction of Old Adults Living at Home.
10.4040/jkan.2018.48.5.534
- Author:
Young Mi HUH
1
;
Sohyune SOK
Author Information
1. College of Nursing Science, Kyung Hee University, Seoul, Korea.
- Publication Type:Original Article
- Keywords:
Aged;
Family;
Personal Satisfaction;
Communication
- MeSH:
Adult*;
Depression;
Family Health;
Humans;
Models, Structural;
Personal Satisfaction;
Systems Theory
- From:Journal of Korean Academy of Nursing
2018;48(5):534-544
- CountryRepublic of Korea
- Language:Korean
-
Abstract:
PURPOSE: This study was conducted to construct and test a structural model on family life satisfaction of aged individuals living at home. The conceptual model was based on Bandura's self-efficacy and social cognitive theories (1977; 1986) and Bowen's (1976) family systems theory. METHODS: From January 25 to March 5, 2016, 227 older adults living at home completed a structured questionnaire. Data were analyzed to calculate the direct and indirect effects of factors affecting family life satisfaction. SPSS WIN 20.0 and AMOS 20.0 were used. RESULTS: The hypothetical model was a good fit for the data. The model fit indices were χ2=78.05, χ2/df=1.35, RMSR=.02, GFI=.98, AGFI=.96, NFI=.94, CFI=.98, and RMSEA=. 05. Family life satisfaction was positively affected by perceived collective family efficacy, status of physical health, family communication, and family support. Depression resulted in a significant negative effect. Family differentiation had a significant indirect effect on family life satisfaction. The model explained 76% of variance in family life satisfaction. CONCLUSION: Perceived collective family efficacy, status of physical health, depression, family differentiation, family communication, and family support were significant factors explaining family life satisfaction among older adults staying at home. Further research should be conducted to seek intervention strategies to improve family life satisfaction among older adults living at home by focusing on the respective contributing factors.
