Leonard A Jason1, Molly M Brown. 1. Center for Community Research , DePaul University , Chicago, IL 60614, USA. ljason@depaul.edu
Abstract
BACKGROUND: Activity logs involve patients writing down their activities and symptoms over 1 or more days. Aims This study sought to classify daily fatigue patterns among patients with chronic fatigue syndrome (CFS) using activity logs. METHOD: Fatigue intensity was self-reported every 30 min in a sample of 90 patients with CFS over 1 day. A cluster analysis using fatigue intensity, variability and slope was conducted. RESULTS: Three clusters emerged involving patients with different trajectories. One group evidenced high fatigue intensity, low variability, and fatigue intensity stayed the same over time. A second group had moderate fatigue intensity, high variability, and fatigue intensity decreased over time. A third group had moderate fatigue intensity, high variability, but fatigue intensity increased over time. The three clusters of patients differed on measures of actigraphy, pain and immune functioning. CONCLUSIONS: Activity logs can provide investigators and clinicians with valuable sources of data for understanding patterns of fatigue and activity among patients with CFS.
BACKGROUND: Activity logs involve patients writing down their activities and symptoms over 1 or more days. Aims This study sought to classify daily fatigue patterns among patients with chronic fatigue syndrome (CFS) using activity logs. METHOD:Fatigue intensity was self-reported every 30 min in a sample of 90 patients with CFS over 1 day. A cluster analysis using fatigue intensity, variability and slope was conducted. RESULTS: Three clusters emerged involving patients with different trajectories. One group evidenced high fatigue intensity, low variability, and fatigue intensity stayed the same over time. A second group had moderate fatigue intensity, high variability, and fatigue intensity decreased over time. A third group had moderate fatigue intensity, high variability, but fatigue intensity increased over time. The three clusters of patients differed on measures of actigraphy, pain and immune functioning. CONCLUSIONS: Activity logs can provide investigators and clinicians with valuable sources of data for understanding patterns of fatigue and activity among patients with CFS.
Authors: San Keller; Carla M Bann; Sheri L Dodd; Jeff Schein; Tito R Mendoza; Charles S Cleeland Journal: Clin J Pain Date: 2004 Sep-Oct Impact factor: 3.442
Authors: Leonard A Jason; Phyllis Timpo; Nicole Porter; Joshua Herrington; Molly Brown; Susan Torres-Harding; Fred Friedberg Journal: J Ment Health Date: 2009-12