Literature DB >> 24643250

Predictors of Fatigue among Patients with Chronic Fatigue Syndrome.

Leonard A Jason1, Molly Brown1, Meredyth Evans1, Abigail Brown1.   

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.

Entities:  

Year:  2012        PMID: 24643250      PMCID: PMC3955704          DOI: 10.1080/10911359.2012.707896

Source DB:  PubMed          Journal:  J Hum Behav Soc Environ        ISSN: 1091-1359


  15 in total

1.  Identifying physical activity patterns in chronic fatigue syndrome using actigraphic assessment.

Authors:  S P van der Werf; J B Prins; J H Vercoulen; J W van der Meer; G Bleijenberg
Journal:  J Psychosom Res       Date:  2000-11       Impact factor: 3.006

Review 2.  Hypothalamic-pituitary-adrenal axis function in chronic fatigue syndrome.

Authors:  Filip Van Den Eede; Greta Moorkens; Boudewijn Van Houdenhove; Paul Cosyns; Stephan J Claes
Journal:  Neuropsychobiology       Date:  2007-06-27       Impact factor: 2.328

Review 3.  Chronic pain and fatigue syndromes: overlapping clinical and neuroendocrine features and potential pathogenic mechanisms.

Authors:  D J Clauw; G P Chrousos
Journal:  Neuroimmunomodulation       Date:  1997 May-Jun       Impact factor: 2.492

4.  Monitoring and assessing symptoms of chronic fatigue syndrome: use of time series regression.

Authors:  L A Jason; W W Tryon; R R Taylor; C King; E L Frankenberry; K M Jordan
Journal:  Psychol Rep       Date:  1999-08

5.  Does hypothalamic-pituitary-adrenal axis hypofunction in chronic fatigue syndrome reflect a 'crash' in the stress system?

Authors:  Boudewijn Van Houdenhove; Filip Van Den Eede; Patrick Luyten
Journal:  Med Hypotheses       Date:  2009-02-23       Impact factor: 1.538

6.  Psychological stress and the human immune system: a meta-analytic study of 30 years of inquiry.

Authors:  Suzanne C Segerstrom; Gregory E Miller
Journal:  Psychol Bull       Date:  2004-07       Impact factor: 17.737

7.  Chronic fatigue syndrome impairs circadian rhythm of activity level.

Authors:  Warren W Tryon; Lenny Jason; Erin Frankenberry; Susan Torres-Harding
Journal:  Physiol Behav       Date:  2004-10-15

8.  Longitudinal change in chronic fatigue syndrome: what home-based assessments reveal.

Authors:  Fred Friedberg; Stephanie J Sohl
Journal:  J Behav Med       Date:  2008-12-20

9.  Activity Logs as a Measure of Daily Activity Among Patients with Chronic Fatigue Syndrome.

Authors:  Leonard A Jason; Phyllis Timpo; Nicole Porter; Joshua Herrington; Molly Brown; Susan Torres-Harding; Fred Friedberg
Journal:  J Ment Health       Date:  2009-12

10.  Fluctuations in perceived energy and mood among patients with chronic fatigue syndrome.

Authors:  C Wood; M E Magnello; M C Sharpe
Journal:  J R Soc Med       Date:  1992-04       Impact factor: 18.000

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  1 in total

1.  Investigating unexplained fatigue in general practice with a particular focus on CFS/ME.

Authors:  Amolak S Bansal
Journal:  BMC Fam Pract       Date:  2016-07-19       Impact factor: 2.497

  1 in total

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