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Updated: May 22, 2026

Acupoint Application as a Traditional Chinese Medicine Treatment for Fatigue Associated with Chronic Obstructive Pulmonary Disease
Published on: September 5, 2025
Sub-typing daily fatigue progression in chronic fatigue syndrome
Leonard A Jason1, Molly M Brown
1Center for Community Research , DePaul University , Chicago, IL 60614, USA. ljason@depaul.edu
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.
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