Predictors of Fatigue among Patients with Chronic Fatigue Syndrome

Leonard A. Jason, Molly Brown, Meredyth Evans, Abigail Brown

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

Activity logs involve patients writing down their activities over 1 or more days. Several studies have found these data collection instruments to accurately describe activities of patients with chronic fatigue syndrome (CFS). The purpose of this study was to utilize the repeated measures available on the National Institutes of Health Activity Record to evaluate predictors of fatigue at a given time point. A random intercept model was tested with the following variables predicting current fatigue: past fatigue (30 mins. prior), current category of activity (e.g., resting, work, recreation), past category of activity (30 mins. prior), the interaction of past fatigue and past activity, and TH2/TH1 immune shift. These findings and others suggest that activity logs can provide investigators and clinicians with valuable sources of data for understanding patterns of behavior and activity among patients with CFS.

Original languageEnglish (US)
Pages (from-to)822-832
Number of pages11
JournalJournal of Human Behavior in the Social Environment
Volume22
Issue number7
DOIs
StatePublished - Oct 2012

Keywords

  • Fatigue
  • activity
  • chronic fatigue syndrome
  • immune markers

ASJC Scopus subject areas

  • Anthropology
  • Social Sciences (miscellaneous)

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