Literature DB >> 11914449

Prognosis of chronic fatigue in a community-based sample.

Renee R Taylor1, Leonard A Jason, Carrie J Curie.   

Abstract

OBJECTIVE: This study examined predictors of fatigue severity and predictors of continued chronic fatigue status at wave 2 follow-up within a random, community-based sample of individuals previously evaluated in a wave 1 prevalence study of chronic fatigue and chronic fatigue syndrome that originally took place between 1995 and 1997.
METHODS: Wave 1 data were from a larger community-based prevalence study of chronic fatigue syndrome. In the present study, a second wave of data were collected by randomly selecting a sample of participants from the wave 1 sample of 18,675 adults and readministering a telephone screening questionnaire designed to assess symptoms of chronic fatigue syndrome.
RESULTS: Findings revealed that wave 1 fatigue severity was a predictor of fatigue severity at wave 2 in the overall sample of individuals with and without chronic fatigue. In the smaller sample of individuals with chronic fatigue, wave 1 fatigue severity, worsening of fatigue with physical exertion, and feeling worse for 24 hours or more after exercise significantly predicted continued chronic fatigue status (vs. improvement) at wave 2 follow-up.
CONCLUSIONS: These findings underscore the prognostic validity of postexertional malaise in predicting long-term chronic fatigue and also highlight the importance of using population-based, representative random samples when attempting to identify long-term predictors of chronic fatigue at follow-up.

Entities:  

Mesh:

Year:  2002        PMID: 11914449     DOI: 10.1097/00006842-200203000-00016

Source DB:  PubMed          Journal:  Psychosom Med        ISSN: 0033-3174            Impact factor:   4.312


  9 in total

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Authors:  Marcus J H Huibers; I Jmert Kant; J André Knottnerus; Gijs Bleijenberg; Gerard M H Swaen; Stanislav V Kasl
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Review 2.  Chronic fatigue syndrome: the need for subtypes.

Authors:  Leonard A Jason; Karina Corradi; Susan Torres-Harding; Renee R Taylor; Caroline King
Journal:  Neuropsychol Rev       Date:  2005-03       Impact factor: 7.444

3.  Prevalence, incidence, and classification of chronic fatigue syndrome in Olmsted County, Minnesota, as estimated using the Rochester Epidemiology Project.

Authors:  Ann Vincent; Dana J Brimmer; Mary O Whipple; James F Jones; Roumiana Boneva; Brian D Lahr; Elizabeth Maloney; Jennifer L St Sauver; William C Reeves
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4.  A natural history study of chronic fatigue syndrome.

Authors:  Leonard A Jason; Nicole Porter; Jessica Hunnell; Abigail Brown; Alfred Rademaker; Judith A Richman
Journal:  Rehabil Psychol       Date:  2011-02

5.  CFS: A Review of Epidemiology and Natural History Studies.

Authors:  Leonard A Jason; Nicole Porter; Molly Brown; Valerie Anderson; Abigail Brown; Jessica Hunnell; Athena Lerch
Journal:  Bull IACFS ME       Date:  2009

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Authors:  Kurt A Mossberg; Brent E Masel; Charles R Gilkison; Randall J Urban
Journal:  J Clin Endocrinol Metab       Date:  2008-04-15       Impact factor: 5.958

7.  Prediction of outcome in patients presenting with fatigue in primary care.

Authors:  Iris Nijrolder; Daniëlle van der Windt; Henriëtte van der Horst
Journal:  Br J Gen Pract       Date:  2009-04       Impact factor: 5.386

8.  Epidemiological and clinical factors associated with post-exertional malaise severity in patients with myalgic encephalomyelitis/chronic fatigue syndrome.

Authors:  Alaa Ghali; Paul Richa; Carole Lacout; Aline Gury; Anne-Berengere Beucher; Chadi Homedan; Christian Lavigne; Geoffrey Urbanski
Journal:  J Transl Med       Date:  2020-06-22       Impact factor: 5.531

9.  Medically Unexplained Symptoms (MUS): Faults and Implications.

Authors:  Michiel Tack
Journal:  Int J Environ Res Public Health       Date:  2019-04-08       Impact factor: 3.390

  9 in total

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