J Korean Acad Nurs.  2018 Apr;48(2):241-253. 10.4040/jkan.2018.48.2.241.

Symptom Distress and Coping in Young Korean Breast Cancer Survivors: The Mediating Effects of Social Support and Resilience

• Lee JH
• Kim HY

• KMID: 2410656
• DOI: http://doi.org/10.4040/jkan.2018.48.2.241

Abstract

PURPOSE
The purpose of this study was to test the mediating effect of social support and resilience on the relationship between symptom distress and coping in young Korean breast cancer survivors.
METHODS
A purposive sample of 209 young breast-cancer survivors (mean age 39.9) was recruited for a cross-sectional survey, and the data were collected between June and October 2015. The instruments used in this study were the Memorial Symptom Assessment Scale-Short Form, the Multidimensional Scale of Perceived Social Support, 10-item Connor-Davidson Resilience Scale, and Cancer Coping Questionnaire. The collected data were then analyzed using the SPSS 23.0 and AMOS 23.0 programs.
RESULTS
Symptom distress was found to have a significant indirect effect on coping (beta=−.32, p=.002), but not a significant direct effect (beta=.06, p=.577). Additionally, based on the values obtained for the squared multiple correlation, symptom distress, social support, and resilience were found to explain 46.4% of the total variance of coping.
CONCLUSION
Based on the results of this study, it can be suggested that in order to enhance young breast cancer survivors' ability to cope with the distress they commonly feel, intervention methods that strengthen resilience and provide social support should be developed and made available to them.

Keyword

Breast neoplasms; Coping skills; Psychological resilience; Social support

MeSH Terms

Adaptation, Psychological
Breast Neoplasms*
Breast*
Cross-Sectional Studies
Humans
Negotiating*
Resilience, Psychological
Survivors*
Symptom Assessment

Figure

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  Figure 1. Lazarus & Folkman's stress-coping theory and hypothetical model.

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  Figure 2. Differential verification after analysis of multiple mediator model using phantom variable. (A) Specific indirect effects in multi-mediation model, including phantom variables. (B) Verification of the difference between two indirect effects in a multi-mediation model involving phantom variables.

Reference

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