Open Access, Peer-reviewed
eISSN 2093-758X
    J Korean Acad Nurs. 2016 Jun;46(3):327-337. Korean.
    Published online Jun 30, 2016.
    https://doi.org/10.4040/jkan.2016.46.3.327
    © 2016 Korean Society of Nursing Science
    Original Article

    The Structural Equation Model on Resilience of Breast Cancer Patients Receiving Chemotherapy

    Jeong Ha Yang,1 and Ok Soo Kim2
      • 1Division of Nursing Science, JEI University, Incheon, Korea.
      • 2Division of Nursing Science, College of Health Sciences, Ewha Womans University, Seoul, Korea.
    • Address reprint requests to: Yang, Jeong Ha. JEI University, 178, Jaeneung-ro, Dong-gu, Incheon 22573, Korea. Tel: +82-32-890-7322, Fax: +82-32-890-7199, Email: mint2243@hotmail.com
    Received September 10, 2015; Revised December 21, 2015; Accepted January 11, 2016.

    This is an Open Access article distributed under the terms of the Creative Commons Attribution NoDerivs License. (http://creativecommons.org/licenses/by-nd/4.0/) If the original work is properly cited and retained without any modification or reproduction, it can be used and re-distributed in any format and medium.

    Abstract

    Purpose

    The purpose of this study was to construct and test a structural equation model on resilience of breast cancer patients receiving chemotherapy.

    Methods

    Participants were 204 patients with breast cancer who received chemotherapy treatment. They participated in a structured interview, which included social support, depression, symptom experience, self-efficacy, hope, resilience, and infection prevention behaviors. Data were analyzed using SPSS/WIN 20.0 and AMOS 18.0.

    Results

    Lower depression (γ=-.33, p=.020) and symptom experience (γ=-.31, p=.012) and higher self-efficacy (γ=.32, p=.005) and hope (γ=.48, p=.016) were influenced by higher social support. Greater resilience was influenced by lower symptom experience (β=-.18, p=.016), higher self-efficacy (β=.49, p=.023), and higher hope (β=.46, p=.012), and these predictors explained 66.7% of variance in resilience. Greater resilience (β=.54, p=.009) made an impact on greater infection prevention behaviors. Resilience mediated the relations of symptom experience (β=-.10 p=.013), self-efficacy (β=.27, p=.006) and hope (β=.25, p=.009) with infection prevention behaviors. These predictors explained 24.9% of variance in infection prevention behaviors.

    Conclusion

    The findings of the study suggest that breast cancer patientsw ith greater resilience who are receiving chemotherapy participate in increased infection prevention behaviors. Further research should be conducted to seek intervention strategies that improve breast cancer patients' resilience.

    Keywords
    Psychological resilience; Breast neoplasms; Chemotherapy adjuvant; Infection control; Social support

    Figures

    Figure 1
    Conceptual framework based on ARM (Adolescent Resilience Model).

    Figure 2
    Path diagram for the hypothetical model.

    Tables

    Table 1
    Descriptive Statistics of the Measured Variables (N=204)

    Table 2
    Correlation among the Measured Variables (N=204)

    Table 3
    Direct Effect, Indirect Effect and Total Effect in the Model (N=204)

    Notes

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

    CONFLICTS OF INTEREST:The authors declared no conflict of interest.

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    MeSH Terms
    Models, Theoretical*
    Adult
    Antineoplastic Agents/therapeutic use*
    Breast Neoplasms/drug therapy*
    Breast Neoplasms/nursing
    Breast Neoplasms/pathology
    Chemotherapy, Adjuvant
    Depression
    Female
    Hope
    Humans
    Middle Aged
    Resilience, Psychological
    Self Efficacy
    Social Support
    Metrics
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