This Article Full Text Full Text (PDF) eLetters: Submit a response to this article Alert me when this article is cited Alert me when eLetters are posted Alert me if a correction is posted Citation Map Services E-mail this article link to a friend Similar articles in this journal Similar articles in PubMed Alert me to new issues of the journal Download to citation manager Reprints/Permissions Citing Articles Citing Articles via HighWire Citing Articles via Google Scholar Google Scholar Articles by van Weert, E. Articles by van der Schans, C. Search for Related Content PubMed PubMed Citation Articles by van Weert, E. Articles by van der Schans, C.

Cancer-Related Fatigue: Predictors and Effects of Rehabilitation

^a Comprehensive Cancer Centre North-Netherlands and ^b Centre for Rehabilitation, ^c Northern Centre for Healthcare Research, ^d Psychosocial Services, University of Groningen and University Medical Centre Groningen, and ^e Hanze University Groningen Centre for Research and Development in Health Care and in Nursing, Groningen, The Netherlands

Key Words. Cancer patients • Fatigue • Rehabilitation • Predictors • Clinical relevance

Correspondence: Ellen van Weert, M.Sc., Comprehensive Cancer Centre North-Netherlands, P.O. Box 330, 9700 AH Groningen, The Netherlands. Telephone: 31-50-521-5900; Fax: 31-50-521-5999; e-mail: E.van.Weert{at}ikn.nl

Background. The aims of the study were to examine the effects of a multidimensional rehabilitation program on cancer-related fatigue, to examine concurrent predictors of fatigue, and to investigate whether change in fatigue over time was associated with change in predictors.

Methods. Sample: 72 cancer survivors with different diagnoses. Setting: rehabilitation center. Intervention: 15-week rehabilitation program. Measures: Fatigue (Multidimensional Fatigue Inventory), demographic and disease/treatment-related variables, body composition (bioelectrical impedance), exercise capacity (symptom-limited bicycle ergometry), muscle force (handheld dynamometry), physical and psychological symptom distress (Rotterdam Symptom Check List), experienced physical and psychological functioning (RAND-36), and self-efficacy (General-Self-Efficacy Scale, Dutch version). Measurements were performed before (T0) and after rehabilitation (T1).

Results. At T1 (n = 56), significant improvements in fatigue were found, with effect sizes varying from –0.35 to –0.78. At T0, the different dimensions of fatigue were predicted by different physical and psychological variables. Explained variance of change in fatigue varied from 42%–58% and was associated with pre-existing fatigue and with change in physical functioning, role functioning due to physical problems, psychological functioning, and physical symptoms distress.

Conclusions. Within this selected group of patients we found that (a) rehabilitation is effective in reducing fatigue, (b) both physical and psychological parameters predicted different dimensions of fatigue at baseline, and (c) change in fatigue was mainly associated with change in physical parameters.

This article has been cited by other articles:

				B. D. Thombs, M. Bassel, L. McGuire, M. T. Smith, M. Hudson, and J. A. Haythornthwaite A systematic comparison of fatigue levels in systemic sclerosis with general population, cancer and rheumatic disease samples Rheumatology, October 1, 2008; 47(10): 1559 - 1563. [Abstract] [Full Text] [PDF]

				S. F. Whitsett, M. Gudmundsdottir, B. Davies, P. McCarthy, and D. Friedman Chemotherapy-Related Fatigue in Childhood Cancer: Correlates, Consequences, and Coping Strategies Journal of Pediatric Oncology Nursing, April 1, 2008; 25(2): 86 - 96. [Abstract] [PDF]

				M. Fouladiun, U. Korner, L. Gunnebo, P. Sixt-Ammilon, I. Bosaeus, and K. Lundholm Daily Physical-Rest Activities in Relation to Nutritional State, Metabolism, and Quality of Life in Cancer Patients with Progressive Cachexia Clin. Cancer Res., November 1, 2007; 13(21): 6379 - 6385. [Abstract] [Full Text] [PDF]