The relationship between quality of life and levels of hopelessness and depression in palliative care

• Published in: Depression and anxiety Vol. 25; no. 9; pp. 730 - 736
• Main Authors: Mystakidou, Kyriaki, Tsilika, Eleni, Parpa, Efi, Pathiaki, Maria, Galanos, Antonis, Vlahos, Lambros
• Format: Journal Article
• Language: English
• Published: Hoboken Wiley Subscription Services, Inc., A Wiley Company 01-01-2008
• Subjects: Adult; advanced cancer patients; Aged; Aged, 80 and over; BDI; BHS; Breast Neoplasms - epidemiology; Breast Neoplasms - psychology; Breast Neoplasms - therapy; Depressive Disorder, Major - epidemiology; Depressive Disorder, Major - psychology; Female; Greece - epidemiology; Humans; Lung Neoplasms - epidemiology; Lung Neoplasms - psychology; Lung Neoplasms - therapy; Male; Middle Aged; Neoplasm Staging; Palliative Care - statistics & numerical data; psychological morbidity; Quality of Life - psychology; SF-12; Surveys and Questionnaires; Greece
• ISSN: 1091-4269; 1520-6394
• DOI: 10.1002/da.20319

There is growing interest in the psychological distress and quality of life of cancer patients. The aim of this study was to compare the responses of 102 advanced cancer patients on a quality of life scale (as measured by the SF12) with the Beck Depression Inventory (BDI) and the Beck Hopelessness Scale (BHS), as well as the impact of depression and hopelessness on quality of life. Significant associations were found between gender (P=.027), performance status (P=.003), opioids (P=.002), depression (P<.0005), and hopelessness (P<.0005) with the SF12‐Mental Component Score (MCS). Gender (P=.07), metastasis (P=.001), opioids (P=.0005), and education (P=.045) correlated significantly with SF12‐Physical Component Score (PCS). In the prediction of MCS, the dimensions of age, hopelessness, gender, and performance status were statistically significantly high (P<.0005), explaining 48% of variance. For PCS, the predictor variables were education, metastasis, and opioids (25% of variance). Quality of life, in this patient population, was predicted by the level of hopelessness and patients' demographic and clinical characteristics. Depression and Anxiety. © 2007 Wiley‐Liss, Inc.