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Tae, Kwon, Choi, and Lee: Predictive Factors for Depression in Breast Cancer Survivors
Original Article

Asian Oncology Nursing 2013; 13(3): 113-120.

Published online: 30 September 2013

DOI: https://doi.org/10.5388/aon.2013.13.3.113

Predictive Factors for Depression in Breast Cancer Survivors

Young Sook Tae1, Suhye Kwon1, Jeong Hwa Choi2, 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, taehope@kosin.ac.kr

Received 9 July 2013       Accepted 16 September 2013

© 2013 Korean Oncology Nursing Society

(open-access):

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

Figures and Tables

Table 1
Participants' Characteristics (N=180)
aon-13-113-i001
Table 2
Degree of Body Image, Uncertainty, Social Support, and Depression (N=180)
aon-13-113-i002
Table 3
Differences of Depression according to Participants' Characteristics (N=180)
aon-13-113-i003
Table 4
Correlation among Body Image, Uncertainty, Social Support and Depression (N=180)
aon-13-113-i004
Table 5
Stepwise Multiple Regression Analysis on Depression (N=180)
aon-13-113-i005

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