Su Jung Choi; Keum Soon Kim

doi:10.4040/jkan.2013.43.1.81

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Original Article
Structural Equation Modeling On Health-related Quality of Life in Patients with Obstructive Sleep Apnea: Su Jung Choi, Keum Soon Kim; Journal of Korean Academy of Nursing 2013;43(1):81-90.
DOI: https://doi.org/10.4040/jkan.2013.43.1.81
Published online: February 28, 2013

¹Advanced Practice Nurse, Samsung Medical Center, Seoul, Korea.

²College of Nursing, Seoul National University, Seoul, Korea.

Address reprint requests to: Choi, Su Jung. Department of Nursing, Samsung Medical Center, #50 Ilwon-dong, Gangnam-gu, Seoul 135-710, Korea. Tel: +82-10-9933-2851, Fax: +82-2-3410-2188, sujungchoi@hanmail.net

• Received: July 23, 2012 • Accepted: October 21, 2012

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Abstract
NOTES
REFERENCES

Abstract

Purpose
This study was done to test structural equation modeling of health-related quality of life (QOL) of men with obstructive sleep apnea in order to identify parameters affecting QOL and provide guidelines for interventions and strategies to improve QOL in these patients.
Methods
Model construction was based on 'The conceptual model of patient outcome in health-related QOL' by Wilson and Cleary, using the variables; age, physiological factors, social support, cognitive appraisal, symptoms and QOL. Participants were 201 adult male patients recruited at a tertiary university hospital in Seoul. Data were collected via questionnaires, polysomnography, and clinical records.
Results
Age and symptoms directly influenced QOL. Social support and cognitive appraisal about sleep did not have a direct influence on QOL, but indirectly affected it via symptoms. QOL was lower in patients who were younger and had more severe symptoms. Symptoms were more severe for patients with lower social support and more dysfunctional cognitive appraisal. When social support was lower, cognitive appraisal was more dysfunctional.
Conclusion
These results suggest it is necessary to not only manage symptoms, but also apply interventions to increase social support and cognitive appraisal about sleep in order to increase QOL in patients with obstructive sleep apnea.
Keywords: Obstructive sleep apnea; Quality of life; Age; Symptom; Social support

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

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Figure 1

Conceptual framework based on Wilson & Cleary's conceptual model.

Figure 2

Path diagram for the modified model.

Table 1

Descriptive Statistics of Observed Variables (N=201)

Table 2

Model Fitness of Hypothetical Model and Modified Model

χ²=Chi square; df=degree of freedom; GFI=Goodness fit index; TLI=Tucker-lewis index; CFI=Comparative fit index; RMSEA=Root-mean square error of approximation; AIC=Akaike information criterion.

Table 3

Effects of Exogenous Variables in the Modified Model

β=Standardized regression weight; C.R.=Critical ratio; SMC=Squared multiple correlation (R²).

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

Figure & Data

REFERENCES

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Structural Equation Modeling On Health-related Quality of Life in Patients with Obstructive Sleep Apnea

J Korean Acad Nurs. 2013;43(1):81-90. Published online February 28, 2013

DOI: https://doi.org/10.4040/jkan.2013.43.1.81

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Structural Equation Modeling On Health-related Quality of Life in Patients with Obstructive Sleep Apnea

Figure 1 Conceptual framework based on Wilson & Cleary's conceptual model.

Figure 2 Path diagram for the modified model.

Figure 1

Figure 2

Structural Equation Modeling On Health-related Quality of Life in Patients with Obstructive Sleep Apnea

Table 1

Descriptive Statistics of Observed Variables (N=201)

Table 2

Model Fitness of Hypothetical Model and Modified Model

χ²=Chi square; df=degree of freedom; GFI=Goodness fit index; TLI=Tucker-lewis index; CFI=Comparative fit index; RMSEA=Root-mean square error of approximation; AIC=Akaike information criterion.

Table 3

Effects of Exogenous Variables in the Modified Model

β=Standardized regression weight; C.R.=Critical ratio; SMC=Squared multiple correlation (R²).

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

Table 1 Descriptive Statistics of Observed Variables (N=201)

Table 2 Model Fitness of Hypothetical Model and Modified Model

χ²=Chi square; df=degree of freedom; GFI=Goodness fit index; TLI=Tucker-lewis index; CFI=Comparative fit index; RMSEA=Root-mean square error of approximation; AIC=Akaike information criterion.

Table 3 Effects of Exogenous Variables in the Modified Model

β=Standardized regression weight; C.R.=Critical ratio; SMC=Squared multiple correlation (R²).

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