J Korean Acad Nurs. 2012 Oct;42(5):699-708. Korean.
Published online Oct 31, 2012.
© 2012 Korean Society of Nursing Science
Original Article

Structural Equation Modeling on Quality of Life in Pre-dialysis Patients with Chronic Kidney Disease

Hye Won Kim,1 and Smi Choi-Kwon2
    • 1Department of Nursing, Konyang University, Daejeon, Korea.
    • 2College of Nursing, Seoul National University · Research Institute of Nursing Science, Seoul, Korea.
Received January 10, 2012; Accepted September 24, 2012.

Abstract

Purpose

This study was designed to test structural equation modeling of the quality of life of pre-dialysis patients, in order to provide guidelines for the development of interventions and strategies to improve the quality of life of patients with Chronic Kidney Disease (CKD).

Methods

Participants were patients who visited the nephrology outpatient department of a tertiary hospital located in Seoul. Data on demographic factors, social support, nutritional status, physical factors and biobehavioral factors and quality of life were collected between March 4 and March 31, 2011.

Results

In the final analysis 208 patients were included. Of the patients 42% were in a malnourished state. Anxious or depressed patients accounted for 62.0%, 72.6%, respectively. Model fit indices for the hypothetical model were in good agreement with the recommended levels (GFI=.94 and CFI=.99). Quality of life in pre-dialysis patients with CKD was significantly affected by demographic factors, social support, nutritional status, physical factors and biobehavioral factors. Biobehavioral factors had the strongest and most direct influence on quality of life of patients with CKD.

Conclusion

In order to improve the quality of life in pre-dialysis patients with CKD, comprehensive interventions are necessary to assess and manage biobehavioral factors, physical factors and nutritional status.

Keywords
Chronic kidney disease; Quality of life; Nutritional status; Biobehavioral factors

Figures

Figure 1
Research framework.

Figure 2
Path diagram for the hypothetical model.

Tables

Table 1
General Characteristics of Participants (N=208)

Table 2
Descriptive Statistics of Observed Variables (N=208)

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 at Seoul National University.

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