Global quality of life and its potential predictors in breast cancer patients: an exploratory study

• DOI: 10.1007/s00520-006-0089-7
• Publication Date: 2006-05-31T14:51:42Z
• Authors: Elisabeth Andritsch; Gabriele Dietmaier; Günter Hofmann; Silke Zloklikovits; Hellmut Samonigg
• Keywords: Adult; Analysis of Variance; Depression; Breast Neoplasms; Middle Aged; 3. Good health; 03 medical and health sciences; 0302 clinical medicine; Predictive Value of Tests; Austria; Surveys and Questionnaires; Adaptation, Psychological; Quality of Life; Humans; Regression Analysis; Female; Karnofsky Performance Status; Aged; Follow-Up Studies

This study reflects variables being depicted as predictors of global quality of life in current research. The evaluation was conducted at the Division of Clinical Oncology at the Medical University in Graz, Austria.A sample of 210 breast cancer patients between ages 30 and 80 years was assessed 1-5 years after initial diagnosis in a tumor-free stage. Besides the socio-demographic and medical variables, the Brief Symptom Inventory (BSI), Impact of Event Scale (IES), Mental Adjustment to Cancer (MAC), and the Perceived Family Support (PFS) were used. To identify variables related to quality of life, stepwise multiple regression analyses were calculated.In a regression analysis, the general severity index (BSI) was identified as the most important and helplessness/hopelessness (MAC) as the second important variable related to QoL. Including the BSI-subscales as predictors, the depression-subscale (BSI) explained 25% of the variance; in addition, somatization (BSI), helplessness/hopelessness (MAC), and having financial problems (semi-structured interview) were significantly related to global quality of life, but the medical variables showed no associations to the measured quality of life. Depression itself is associated with negative the impact of cancer, the number of stressful life events, being uncomfortable with the body, having financial problems and anxious preoccupation (MAC).The awareness of the role of multi-factorial and associated variables could provide patients, family, and medical staff with appropriate and adequate tools to treat specific symptoms.