Jeong Ha Yang; Ok Soo Kim

doi:10.4040/jkan.2016.46.3.327

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Original Article
The Structural Equation Model on Resilience of Breast Cancer Patients Receiving Chemotherapy: Jeong Ha Yang, Ok Soo Kim; Journal of Korean Academy of Nursing 2016;46(3):327-337.
DOI: https://doi.org/10.4040/jkan.2016.46.3.327
Published online: June 30, 2016

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, 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.

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Abstract
NOTES
REFERENCES

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

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

The authors declared no conflict of interest.

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Figure 1

Conceptual framework based on ARM (Adolescent Resilience Model).

Figure 2

Path diagram for the hypothetical model.

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)

^*SMC=Squared multiple correlation.

Figure & Data

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