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A Predictive Model of Quality of Life for Stomach Cancer Patients with Gastrectomy
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Original Article

A Predictive Model of Quality of Life for Stomach Cancer Patients with Gastrectomy

Young Suk Kim, Young Sook Tae
Korean Journal of Adult Nursing 2015;27(6):613-623.
Published online: December 31, 2015

College of Nursing, Kosin University, Busan, Korea.

Corresponding author: Tae, Young Sook. College of Nursing, Kosin University, 262 Gamcheon-ro, Seo-gu, Busan 602-703, Korea. Tel: +82-51-990-3971, Fax: +82-51-990-3031, taehope@kosin.ac.kr
• Received: September 14, 2015   • Revised: November 19, 2015   • Accepted: November 26, 2015

© 2015 Korean Society of Adult Nursing

This is an open access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

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  • 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.
  • Key Words: Quality of life; Self care; Depression; Health status

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

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Figure 1

Conceptual framework of the study.

kjan-27-613-g001.jpg
Figure 2

Path diagram for the structural equation model of the study.

kjan-27-613-g002.jpg
Table 1

Descriptive Statistics of the Variables (N=218)

kjan-27-613-i001.jpg

VIF=variance inflation factor.

Table 2

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

kjan-27-613-i002.jpg

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)

kjan-27-613-i003.jpg

CR=critical ratio; SMC=squared multiple correlations.

Figure & Data

References

    Citations

    Citations to this article as recorded by  
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    Korean J Adult Nurs. 2015;27(6):613-623.   Published online December 31, 2015
    DOI: https://doi.org/10.7475/kjan.2015.27.6.613
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    Korean J Adult Nurs. 2015;27(6):613-623.   Published online December 31, 2015
    DOI: https://doi.org/10.7475/kjan.2015.27.6.613
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    A Predictive Model of Quality of Life for Stomach Cancer Patients with Gastrectomy
    Image Image
    Figure 1 Conceptual framework of the study.
    Figure 2 Path diagram for the structural equation model of the study.

    Figure 1

    Figure 2


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    A Predictive Model of Quality of Life for Stomach Cancer Patients with Gastrectomy

    Descriptive Statistics of the Variables (N=218)

    VIF=variance inflation factor.

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

    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.

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

    CR=critical ratio; SMC=squared multiple correlations.
    Table 1 Descriptive Statistics of the Variables (N=218)

    VIF=variance inflation factor.

    Table 2 Fitness Statistics for Measurement Model and Structural Equation Model (N=218)

    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)

    CR=critical ratio; SMC=squared multiple correlations.

    Table 1

    Table 2

    Table 3

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