Biopsychosocial predictors of the quality of life in breast cancer patients

Eun Hye Ha, Sun Hee Lee, Joon Jeong, Hy De Lee, Jeong Eon Lee, Seok Jin Nam, Jung Hyun Yang

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)219-226
Number of pages8
JournalJournal of Breast Cancer
Volume13
Issue number2
DOIs
Publication statusPublished - 2010 Jun

All Science Journal Classification (ASJC) codes

  • Oncology
  • Cancer Research

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