TY - JOUR
T1 - Biopsychosocial predictors of the quality of life in breast cancer patients
AU - Ha, Eun Hye
AU - Lee, Sun Hee
AU - Jeong, Joon
AU - Lee, Hy De
AU - Lee, Jeong Eon
AU - Nam, Seok Jin
AU - Yang, Jung Hyun
PY - 2010/6
Y1 - 2010/6
N2 - Purpose: The purpose of this study was to identify biopsychosocial predictors of the quality of life in breast cancer patients. Disease factors (disease stage, type of surgery, type of treatment, family history), personal factors (age, education level, income), and psychosocial factors (psychological symptoms, optimism, self-esteem, husband's support, cancer coping) were included in biopsychosocial predictors. Methods: A total of 128 breast cancer patients were recruited. Subjects were assessed by the Optimism Scale, the Selfesteem Scale, the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire Breast Cancer Module (EORTC QLQ-BR23), the Symptom Checklist- 90-Revision (SCL-90-R), and the Korean Cancer Coping Questionnaire (KCCQ). Results: Disease factors and personal factors were not different between the high and low quality of life group. But the psychosocial factors were significantly different. Somatization, anxiety, depression, interpersonal sensitivity, hostility, and phobic anxiety showed significantly lower scores in the high quality of life group than the low group. Optimism, self-esteem and husband's support showed significantly higher score in the high quality of life group than the low group. In a stepwise multiple regression analysis, not disease factors and personal factors but the psychosocial factors significantly predicted the quality of life in breast cancer patients. Especially, somatization and depression significantly predicted the quality of life. Conclusion: Among psychosocial factors, somatization and depression were the most significant predictors of the quality of life in breast cancer patients. These results supported psychosocial intervention should be needed to breast cancer patients, in order to improve the quality of life.
AB - Purpose: The purpose of this study was to identify biopsychosocial predictors of the quality of life in breast cancer patients. Disease factors (disease stage, type of surgery, type of treatment, family history), personal factors (age, education level, income), and psychosocial factors (psychological symptoms, optimism, self-esteem, husband's support, cancer coping) were included in biopsychosocial predictors. Methods: A total of 128 breast cancer patients were recruited. Subjects were assessed by the Optimism Scale, the Selfesteem Scale, the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire Breast Cancer Module (EORTC QLQ-BR23), the Symptom Checklist- 90-Revision (SCL-90-R), and the Korean Cancer Coping Questionnaire (KCCQ). Results: Disease factors and personal factors were not different between the high and low quality of life group. But the psychosocial factors were significantly different. Somatization, anxiety, depression, interpersonal sensitivity, hostility, and phobic anxiety showed significantly lower scores in the high quality of life group than the low group. Optimism, self-esteem and husband's support showed significantly higher score in the high quality of life group than the low group. In a stepwise multiple regression analysis, not disease factors and personal factors but the psychosocial factors significantly predicted the quality of life in breast cancer patients. Especially, somatization and depression significantly predicted the quality of life. Conclusion: Among psychosocial factors, somatization and depression were the most significant predictors of the quality of life in breast cancer patients. These results supported psychosocial intervention should be needed to breast cancer patients, in order to improve the quality of life.
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U2 - 10.4048/jbc.2010.13.2.219
DO - 10.4048/jbc.2010.13.2.219
M3 - Article
AN - SCOPUS:77954742835
SN - 1738-6756
VL - 13
SP - 219
EP - 226
JO - Journal of Breast Cancer
JF - Journal of Breast Cancer
IS - 2
ER -