Journal of Pain and Symptom Management
Volume 35, Issue 6 , Pages 632-643, June 2008

Trajectories of Fatigue in Men with Prostate Cancer Before, During, and After Radiation Therapy

  • Christine Miaskowski, RN, PhD, FAAN

      Affiliations

    • University of California, San Francisco
    • Corresponding Author InformationAddress correspondence to: Christine Miaskowski, RN, PhD, FAAN, Department of Physiological Nursing, University of California, 2 Koret Way – Box 0610, San Francisco, CA 94143-0610, USA.
  • ,
  • Steven M. Paul, PhD

      Affiliations

    • University of California, San Francisco
  • ,
  • Bruce A. Cooper, PhD

      Affiliations

    • University of California, San Francisco
  • ,
  • Kathryn Lee, RN, PhD, FAAN

      Affiliations

    • University of California, San Francisco
  • ,
  • Marylin Dodd, RN, PhD, FAAN

      Affiliations

    • University of California, San Francisco
  • ,
  • Claudia West, RN, MS

      Affiliations

    • University of California, San Francisco
  • ,
  • Bradley E. Aouizerat, PhD

      Affiliations

    • University of California, San Francisco
  • ,
  • Patrick S. Swift, MD

      Affiliations

    • Alta Bates Comprehensive Cancer Center, Berkeley, California, USA
  • ,
  • William Wara, MD

      Affiliations

    • University of California, San Francisco

Accepted 30 July 2007. published online 25 March 2008.

Abstract 

Fatigue is the most common and distressing symptom reported by patients undergoing radiation therapy (RT). However, limited information is available on the trajectories of fatigue, as well as on the predictors of interindividual variability in fatigue. This study evaluated a sample of patients who underwent RT for prostate cancer to examine how ratings of evening and morning fatigue changed from the time of simulation to four months after the completion of RT and to investigate whether specific patient, disease, and symptom characteristics predicted the initial levels of fatigue and/or characteristics of the trajectories of evening and morning fatigue. Using hierarchical linear modeling, a large amount of interindividual variability was demonstrated in the trajectories of evening and morning fatigue. Findings from this study suggest that younger men with a higher level of fatigue at the time of the simulation visit were at increased risk for higher levels of evening and morning fatigue over the course of RT. In addition, the level of morning fatigue over the course of RT appears to depend on the patient's level of depression at the time of the simulation visit. In future studies, the use of hierarchical linear modeling as an analytic tool will assist in the identification of patients who are most at risk for prolonged fatigue trajectories. This type of analysis may lead to the identification of subgroups of patients who are at higher risk for negative outcomes and who require different types of interventions for the fatigue associated with RT.

Key Words: Fatigue, prostate cancer, radiation therapy, hierarchical linear modeling, symptom patterns, symptom trajectories, sleep disturbance, depression

 

 This research was supported by a grant from the National Institute of Nursing Research (NR04835). Additional support for the corresponding author's program of research was provided through unrestricted grants from Endo Pharmaceuticals, PriCara, Unit of Ortho-McNeil, Inc., and Purdue Pharma LP.

PII: S0885-3924(08)00051-1

doi:10.1016/j.jpainsymman.2007.07.007

Journal of Pain and Symptom Management
Volume 35, Issue 6 , Pages 632-643, June 2008