| Literature DB >> 20205039 |
Rajni Banthia1, Vanessa L Malcarne, Celine M Ko, James W Varni, Georgia Robins Sadler.
Abstract
Cancer-related fatigue is associated with lower health-related quality of life and the majority of breast cancer survivors experience persistent fatigue after finishing treatment. The present study examines age, cancer stage, sleep quality and depressed mood as predictors of five dimensions of fatigue in 70 fatigued breast cancer survivors who no longer evidenced any signs of cancer and were finished with treatment. Discriminant function analyses were used to predict fatigue subgroup membership (higher, lower) from age, stage, mood and sleep for five subtypes: General, Mental, Emotional, and Physical fatigue, and Vigour. Significant discriminant functions were found for all subtypes. Findings suggest that age, staging, mood and sleep are all important predictors, but there are differential relationships when subtypes of fatigue are considered. Given current limitations in treating fatigue directly, interventions targeting mood and sleep should be considered as alternate approaches to reduce fatigue.Entities:
Mesh:
Year: 2009 PMID: 20205039 PMCID: PMC4580270 DOI: 10.1080/08870440802110831
Source DB: PubMed Journal: Psychol Health ISSN: 0887-0446