A Study of the Depressive Symptoms and the Quality of Life in Patients with Breast Cancer in a University Hospital.
- Author:
Seung Ho JANG
;
Dae Bo LEE
;
Un Jong CHOI
;
Kwang Man LEE
;
Sang Yeol LEE
- Publication Type:Original Article
- Keywords:
Breast cancer;
Depressive symptoms;
Quality of life
- MeSH:
Anxiety;
Breast;
Breast Neoplasms;
Depression;
Humans;
Personality Assessment;
Prevalence;
Quality of Life
- From:Korean Journal of Psychosomatic Medicine
2013;21(1):11-17
- CountryRepublic of Korea
- Language:Korean
-
Abstract:
OBJECTIVES: This study was designed to investigate the prevalence of depressive symptoms in patients with breast cancer and to identify demographic variables and clinical characteristics impact on depressive symptoms and health related quality of life in patients with breast cancer in a university hospital. METHODS: Fourty-one patients with breast cancer were selected, who had visited the department of General surgery of the Wonkwang University hospital with a diagnosis of breast cancer regularly during the period November, 2010-May, 2011. All of subjects were evaluated for the depression, anxiety and the health related quality of life with Beck Depression Inventory(BDI), anxiety subscale of Personality Assessment Inventory(PAI) and Short-Form 36 Health Survey-Korean version(SF-36-K). Patients were divided into depressive symptoms and non-depressive symptoms group according to the BDI score. We compared SF-36-K between two groups, and analized multiple regression with depression and health related quality of life as criterion variables and demographic and clinical characteristics. RESULTS: The prevalence of depression in patients with breast cancer in a University hospital was 36.4%. Compared to the non-depression, depressed patients with breast cancer appeared significantly lower mean scores on six subscales in SF-36-K : Physical function(p<.01), Role-physical(p<.001), General health(p<.05), Social function(p<.001), Role-emotional(p<.001) and Mental health(p<.001). But there was no significant difference between two groups in Vitality and Bodily pain. Anxiety, level of education and presence of enforcement of chemotherapy(63.6%) were significant explanation variables for depressive symptoms. And type of surgery and age (55.8%) were significant explanation variables for health related quality of life. CONCLUSIONS: The prevalence of depressive symptoms in patients with breast cancer in a University hospital was 36%. The depressive symptoms had not only negative impact on the health related quality of life but also important explanation variable for health related quality of life. These results suggest that depressive symptoms in patients with breast cancer should be evaluated and treated for improving patient's health related quality of life.
