Asian Oncol Nurs.  2013 Sep;13(3):113-120. 10.5388/aon.2013.13.3.113.

Predictive Factors for Depression in Breast Cancer Survivors

Affiliations
  • 1College of Nursing, Kosin University, Busan, Korea. taehope@kosin.ac.kr
  • 2Department of Nursing, Saegyaero Hospital, Busan, Korea.
  • 3Dongnam Institution of Radiological & Medical Sciences, Busan, Korea.

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.

Keyword

Breast Neoplasms; Survivors; Depression

MeSH Terms

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

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