Author : Rajni Banthia
Publisher :
ISBN 13 :
Total Pages : 238 pages
Book Rating : 4.:/5 (318 download)
Book Synopsis Post-treatment Fatigue in Breast Cancer Survivors by : Rajni Banthia
Download or read book Post-treatment Fatigue in Breast Cancer Survivors written by Rajni Banthia and published by . This book was released on 2004 with total page 238 pages. Available in PDF, EPUB and Kindle. Book excerpt: The majority of women with breast cancer experience persistent fatigue during or following treatment. The present study contributes to the understanding of post-treatment breast cancer-related fatigue by exploring the relationship to fatigue of psychosocial factors such as depressed mood and sleep quality. Seventy breast cancer survivors who were between one month and three years post-treatment for breast cancer, and who were reporting clinically elevated levels of general fatigue, were asked to complete the Multidimensional Fatigue Symptom Inventory, Center for Epidemiological Studies-Depression Scale, and Pittsburgh Sleep Quality Index. Discriminant function analyses were employed to predict fatigue subgroup membership (high, low on five subscales) from the following variables: age, stage of cancer, depressed mood, and sleep. Significant linear discriminant functions were found for all subscales. Depressed mood predicted higher fatigue group membership for General, Mental, Emotional, and Physical Fatigue, and lower Vigor group membership. Poor sleep quality predicted higher General and Physical Fatigue, and lower Vigor. Less severe stage of cancer predicted higher Mental Fatigue and lower Vigor. Younger age predicted higher Mental and Emotional Fatigue, and lower Vigor. Hierarchical cluster analyses yielded four profiled subtypes of fatigue expression. The first cluster scored higher than the sample average on General, Physical, and Mental fatigue, at the average on Emotional fatigue, and below average on Vigor, while the second cluster was below average on all fatigue reports and above average on Vigor. The third was high in emotional and cognitive dimensions and low on physical or somatic aspects. The fourth showed the most severe fatigue across all five dimensions. In follow-up analyses, which did not include the third and fourth clusters due to disproportionate size, the first two clusters were significantly different on depressed mood but not on sleep quality, age, stage of cancer, or length of treatment. Findings suggest that age, stage, depressed mood, and sleep are all important predictors of fatigue, but there may be differential relationships between predictors and fatigue when subtypes of fatigue are considered. It is suggested that interventions targeting depressed mood and sleep may have the potential to reduce post-treatment fatigue given current limitations in treating fatigue directly.