Minhee Suh; Smi Choi-Kwon

doi:10.4040/jkan.2010.40.4.533

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Original Article
Structural Equation Modeling on Quality of Life in Stroke Survivors: Minhee Suh, Smi Choi-Kwon; Journal of Korean Academy of Nursing 2010;40(4):533-541.
DOI: https://doi.org/10.4040/jkan.2010.40.4.533
Published online: August 31, 2010

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, smi@snu.ac.kr

• Received: May 24, 2010 • Accepted: August 13, 2010

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Abstract
NOTES
REFERENCES

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

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

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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.

Table 1

Descriptive Statistics of Observed Variables, (N=215)

Table 2

Correlations among Observed Variables

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

Table 3

Standardized Direct, Indirect and Total Effects for the Hypothetical Model

^*p<.05; ^**p<.01. SMC=Squared multiple correlations.

Figure & Data

REFERENCES

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Structural Equation Modeling on Quality of Life in Stroke Survivors

J Korean Acad Nurs. 2010;40(4):533-541. Published online August 31, 2010

DOI: https://doi.org/10.4040/jkan.2010.40.4.533

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A Structural Equation Model on Social Re-Adjustment of Stroke Patients: Based on Roy’s Adaptation Model

Structural Equation Modeling on Quality of Life in Stroke Survivors

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.

Figure 1

Figure 2

Structural Equation Modeling on Quality of Life in Stroke Survivors

Table 1

Descriptive Statistics of Observed Variables, (N=215)

Table 2

Correlations among Observed Variables

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

Table 3

Standardized Direct, Indirect and Total Effects for the Hypothetical Model

^*p<.05; ^**p<.01. SMC=Squared multiple correlations.

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

Table 2 Correlations among Observed Variables

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

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

^*p<.05; ^**p<.01. SMC=Squared multiple correlations.