Predictors of fatigue in cancer patients: a longitudinal study.
Adolescent
Adult
Aged
Aged, 80 and over
Cancer Survivors
/ psychology
Depression
/ psychology
Depressive Disorder
/ psychology
Emotions
Fatigue
/ diagnosis
Female
Humans
Longitudinal Studies
Male
Middle Aged
Neoplasms
/ psychology
Prognosis
Quality of Life
/ psychology
Surveys and Questionnaires
Young Adult
Cancer
Depression
Fatigue
Longitudinal design
Oncology
Predictors
Journal
Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer
ISSN: 1433-7339
Titre abrégé: Support Care Cancer
Pays: Germany
ID NLM: 9302957
Informations de publication
Date de publication:
Sep 2019
Sep 2019
Historique:
received:
13
08
2018
accepted:
16
01
2019
pubmed:
27
1
2019
medline:
9
10
2019
entrez:
26
1
2019
Statut:
ppublish
Résumé
Having a better understanding of predictors of cancer-related fatigue makes it easier to early identify patients at risk of suffering from long-term fatigue. The aim of this longitudinal study was to identify factors that predict long-term fatigue 6 months after discharge from a rehabilitation clinic using a multidimensional conceptualization. A mixed sample of cancer survivors (N = 948) were recruited while in-patient at a rehabilitation clinic. The follow-up survey was administered 6 months after they were discharged from the clinic. Fatigue was assessed with the EORTC QLQ-FA12. Predictive values were estimated using hierarchical multiple linear regression analyses. Mean fatigue scores were 20.7 (cognitive fatigue), 30.9 (emotional fatigue), and 53.2 (physical fatigue) at baseline and significantly lower at follow-up (Cohen's d 0.12-0.31). Baseline levels of fatigue and depression were identified as important predictors of all dimensions of fatigue. Partnership and time since diagnosis predicted only the levels of physical fatigue. The regression models explained between 36% and 45% of variance in fatigue. Levels of fatigue in early stages as well as psychosocial issues could enable clinicians to identify patients with elevated long-term fatigue and thus to provide optimal care for improving patients' quality of life. Findings of different associates of individual dimensions of fatigue support the multidimensional concept of fatigue.
Identifiants
pubmed: 30680616
doi: 10.1007/s00520-019-4660-4
pii: 10.1007/s00520-019-4660-4
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
3463-3471Subventions
Organisme : Deutsche Krebshilfe
ID : 7011 2267
Références
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