Open Access, Peer-reviewed
pISSN 2287-2434
eISSN 2287-447X
    Asian Oncol Nurs. 2013 Sep;13(3):113-120. Korean.
    Published online Sep 30, 2013.
    https://doi.org/10.5388/aon.2013.13.3.113
    © 2013 Korean Oncology Nursing Society
    Original Article

    Predictive Factors for Depression in Breast Cancer Survivors

    Young Sook Tae,1 Suhye Kwon,1 Jeong Hwa Choi,2 and Aeran Lee3
      • 1College of Nursing, Kosin University, Busan, Korea.
      • 2Department of Nursing, Saegyaero Hospital, Busan, Korea.
      • 3Dongnam Institution of Radiological & Medical Sciences, Busan, Korea.
    • Address reprint requests to: Tae, Young Sook. College of Nursing, Kosin University, 34 Amnam-dong, Seo-gu, Busan 603-703, Korea. Tel: +82-51-990-6446, Fax: +82-51-990-3031, Email: taehope@kosin.ac.kr
    Received July 09, 2013; Accepted September 16, 2013.

    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.

    Abstract

    Purpose

    This study was to identify the predictive factors for depression in breast cancer survivors.

    Methods

    The participants were 180 female survivors who visited outpatient clinics after mastectomy or partial resection for breast cancer and had completed adjuvant treatment such as chemotherapy and/or radiation therapy at a university hospital and a general hospital. Data were collected utilizing the Zung depression scale, the Mishel uncertainty scale, the Fitts & Osgoods body image scale, and the Zimet social support scale.

    Results

    The level of depression in the participants was moderate. There were significant correlations among depression, body image, uncertainty, and social support. There were significant differences in depression by education, economic state, perceived health status, fatigue, and pain. In regression analysis, the most powerful predictor of depression was body image (40%). Overall, body image, fatigue, social support, and uncertainty explained 62% of the variance of depression in the participants.

    Conclusion

    Body image, fatigue, social support, and uncertainty were important predictors of depression. These results demonstrate the need for interventions to manage depression in breast cancer survivors.

    Keywords
    Breast Neoplasms; Survivors; Depression

    Tables

    Table 1
    Participants' Characteristics (N=180)

    Table 2
    Degree of Body Image, Uncertainty, Social Support, and Depression (N=180)

    Table 3
    Differences of Depression according to Participants' Characteristics (N=180)

    Table 4
    Correlation among Body Image, Uncertainty, Social Support and Depression (N=180)

    Table 5
    Stepwise Multiple Regression Analysis on Depression (N=180)

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    MeSH Terms
    Ambulatory Care Facilities
    Body Image
    Breast Neoplasms*
    Breast*
    Depression*
    Drug Therapy
    Education
    Fatigue
    Female
    Hospitals, General
    Humans
    Mastectomy
    Survivors*
    Uncertainty
    Metrics
    Share
    Tables
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