Open Access, Peer-reviewed
eISSN 2093-758X
    J Korean Acad Nurs. 2010 Aug;40(4):533-541. Korean.
    Published online Aug 31, 2010.
    https://doi.org/10.4040/jkan.2010.40.4.533
    Copyright © 2010 Korean Society of Nursing Science
    Original Article

    Structural Equation Modeling on Quality of Life in Stroke Survivors

    Minhee Suh,1 and Smi Choi-Kwon2
      • 1Researcher, Research Institute of Nursing Science, Seoul National University, Seoul, Korea.
      • 2Professor, College of Nursing, Seoul National University, Seoul, Korea.
    • Address reprint requests to: Choi-Kwon, Smi. College of Nursing, Seoul National University, 28 Yeongeon-dong, Jongno-gu, Seoul 110-460, Korea. Tel: 82-2-740-8830, Fax: 82-2-766-1852, Email: smi@snu.ac.kr
    Received May 24, 2010; Accepted August 13, 2010.

    Abstract

    Purpose

    This study was designed to test structural equation modeling of the quality of life of stroke survivors in order to provide guidelines for development of interventions and strategies to improve their quality of life.

    Methods

    The participants in the study were patients who visited the neurology outpatient department of a tertiary hospital in Seoul between June 25 and October 15, 2009. Data collection was carried out through one-on-one interviews. Demographic factors, functional independence, social support, nutritional status, post-stroke biobehavioral changes and quality of life were investigated.

    Results

    The final analysis included 215 patients. Fitness of the hypothetical model was appropriate (χ2=111.5, p=.000, GFI=.926, AGFI=.880, RMSA=.068, NFI=.911, CFI=.953). Functional dependency, social support and post-stroke biobehavioral changes were found to be significant explaining variance in quality of life. Post-stroke biobehavioral changes had the strongest direct influence on quality of life. Nutritional status had an indirect effect on the quality of life.

    Conclusion

    To improve the quality of life of stroke survivors, comprehensive interventions are necessary to manage post-stroke biobehavioral changes, and strengthening social support networks that can contribute to enhancing the quality of life of stroke survivors.

    Keywords
    Stroke; Quality of life; Depression; Nutritional status; Social support

    Figures

    Figure 1
    Research framework.

    Figure 2
    Path diagram for the hypothetical model.

    *p<.05; **p<.01.

    X1=Age; X2=Level of education; X3=Economical status; X4=Functional dependency; X5=Instrumental support; X6=Emotional support; X7=Structural support; Y1=Nutritional status; Y2=Depression; Y3=Fatigue; Y4=Quality of sleep; Y5=Post-stroke pain; Y6=Quality of life.

    Tables

    Table 1
    Descriptive Statistics of Observed Variables, (N=215)

    Table 2
    Correlations among Observed Variables

    Table 3
    Standardized Direct, Indirect and Total Effects for the Hypothetical Model

    Notes

    This article is a condensed form of the first author's doctoral thesis from Seoul National University.

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    MeSH Terms
    Models, Psychological*
    Quality of Life*
    Survivors*
    Aged
    Demography
    Depression
    Fatigue
    Female
    Humans
    Interviews as Topic
    Male
    Middle Aged
    Nutritional Status
    Pain
    Sleep Deprivation
    Social Support
    Stroke/psychology*
    Metrics
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