Prognosis of Chronic Fatigue in a Community-Based Sample
| Autor: | Renee R. Taylor, Carrie J. Curie, Leonard A. Jason |
|---|---|
| Rok vydání: | 2002 |
| Předmět: |
Adult
Male medicine.medical_specialty Adolescent Cross-sectional study Sample (statistics) Sampling Studies Cohort Studies Epidemiology Chronic fatigue syndrome medicine Humans Applied Psychology Retrospective Studies Chicago Fatigue Syndrome Chronic business.industry Chronic fatigue Retrospective cohort study Middle Aged Prognosis medicine.disease Psychiatry and Mental health Cross-Sectional Studies Postexertional malaise Physical therapy Female business Follow-Up Studies Cohort study |
| Zdroj: | Psychosomatic Medicine. 64:319-327 |
| ISSN: | 0033-3174 |
| DOI: | 10.1097/00006842-200203000-00016 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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