Tag: activity logs

Predictors of Fatigue among Patients with Chronic Fatigue Syndrome

Abstract:

Activity logs involve patients writing down their activities over one 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 ACTRE to evaluate predictors of fatigue at a given timepoint.

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, etc.), 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.

 

Source: Jason LA, Brown M, Evans M, Brown A. Predictors of Fatigue among Patients with Chronic Fatigue Syndrome. J Hum Behav Soc Environ. 2012 Oct 1;22(7):822-833. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3955704/ (Full article)

 

Sub-typing daily fatigue progression in chronic fatigue syndrome

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.

 

Source: Jason LA, Brown MM. Sub-typing daily fatigue progression in chronic fatigue syndrome. J Ment Health. 2013 Feb;22(1):4-11. doi: 10.3109/09638237.2012.670879. Epub 2012 May 1. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3889482/ (Full article)