Predictors of Fatigue among Patients with Chronic Fatigue Syndrome

Datos Bibliográficos

ID2168450
AutoresLeonard A Jason (0000-0002-9972-4425, DePaul University), Molly Brown (0000-0002-7515-6582, DePaul University), Meredyth Evans (DePaul University), Abigail Brown (0000-0003-0834-2681, DePaul University)
Año2012
Volumen22
Número7
Páginas822-832
Fecha de publicación2012-10-01
Peer ReviewedSí
Open AccessNo
TipoARTICLE
RevistaJournal of Human Behavior in the Social Environment (JOURNAL)
Identificadores de la revistaISSN: 1091-1359 • E-ISSN: 1540-3556
EditorialInforma UK Limited (PUBLISHER • GB)
DOI10.1080/10911359.2012.707896
PMID24643250
PMCIDPMC3955704
OpenAlexW1968980828
IdiomaEN
Referencias citadas19

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

Chronic fatigue · Chronic fatigue syndrome · Physical therapy · Recreation · Effects of Vibration on Health · Fibromyalgia and Chronic Fatigue Syndrome Research · Health, psychology, and well-being · Medicine · Psychology