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 language | English (US) |
---|---|
Pages (from-to) | 822-832 |
Number of pages | 11 |
Journal | Journal of Human Behavior in the Social Environment |
Volume | 22 |
Issue number | 7 |
DOIs | |
State | Published - Oct 2012 |
Funding
The authors appreciate the financial assistance provided by the National Institute of Allergy and Infectious Diseases (grant number AI49720).
Keywords
- Fatigue
- activity
- chronic fatigue syndrome
- immune markers
ASJC Scopus subject areas
- Anthropology
- Social Sciences (miscellaneous)