Work

Sub-typing daily fatigue progression in chronic fatigue syndrome

Year: 2012

Type: article

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: Journal of Mental Health

DOI: 10.3109/09638237.2012.670879

Authors: Leonard A. Jason, Molly M. Brown

Institution: DePaul University

Language: English

Topic: Fibromyalgia and Chronic Fatigue Syndrome Research

Subfield: Psychiatry and Mental health

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

Funder: National Institute of Allergy and Infectious Diseases