Journal List > Korean J Adult Nurs > v.27(6) > 1076360

Kim and Tae: A Predictive Model of Quality of Life for Stomach Cancer Patients with Gastrectomy

Abstract

Purpose

This study was designed to construct a predictive model to explain quality of life of stomach cancer patients with gastrectomy.

Methods

Data were collected from July 10 to August 30, 2013 through survey using self-reported questionnaires. A total of 218 patients with gastrectomy was recruited from three different hospitals. Outcome variables were exogenous ones (self efficacy and social support) and endogenous ones (depression, perceived health status, self care behavior, and quality of life).

Results

Goodness-of-fit of the hypothetical model was χ2=143.37, RMSEA=.07 CFI=.95, TLI=.93 SRMR=.05. Self care behavior, depression and perceived health status had significant direct effects on quality of life. Self efficacy and social support were affected quality of life indirectly. These variables explained 67.9% of total variance of quality of life, and self-care behavior was the most influential factor for quality of life.

Conclusion

The findings of this study suggested that self care behavior must be considered as an intervention strategy to improve quality of life. Also a development of a specific intervention program to promote self efficacy and control depression for patients with gastrectomy is essential to facilitate their self care behaviors.

Figures and Tables

Figure 1

Conceptual framework of the study.

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Figure 2

Path diagram for the structural equation model of the study.

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Table 1

Descriptive Statistics of the Variables (N=218)

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VIF=variance inflation factor.

Table 2

Fitness Statistics for Measurement Model and Structural Equation Model (N=218)

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NPAR=the number of parameters in the model; DF=degree of freedom; CMIN=chi-square value; TLI=turker-lewis index; SRMR=standardized root mean square residual; CFI=comparative fit index; RMSEA=root mean square error of approximation; LO=low RMSEA; HI=high RMSEA.

Table 3

Effects of Variables of the Structural Equation Model (N=218)

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CR=critical ratio; SMC=squared multiple correlations.

Notes

This manuscript is based on a part of the first author's doctoral dissertation from Kosin University.

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