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Employment status in chronic fatigue syndrome. A cross-sectional study examining the value of exercise testing and self-reported measures for the assessment of employment status
Objective: To examine the value of exercise testing and self-reported disability for the assessment of employment status in patients with chronic fatigue syndrome. Design: Cross-sectional observational study. Setting: A university-based chronic fatigue clinic. Subjects: Fifty-four consecutive, Flemi...
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Published in: | Clinical rehabilitation 2005-12, Vol.19 (8), p.895-899 |
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Main Authors: | , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | Objective: To examine the value of exercise testing and self-reported disability for the assessment of employment status in patients with chronic fatigue syndrome.
Design: Cross-sectional observational study.
Setting: A university-based chronic fatigue clinic.
Subjects: Fifty-four consecutive, Flemish, employed (not self-employed) chronic fatigue syndrome patients (49/54 female).
Interventions: Not applicable.
Main outcome measures: Participants were questioned about their current and premorbid employment status, filled in the Chronic Fatigue Syndrome Activities and Participation Questionnaire (CFS-APQ), the Medical Outcomes Short Form 36 Health Status Survey (SF-36), and performed a maximal exercise test on a bicycle ergometer with continuous monitoring of cardiorespiratory variables.
Results: A significant association was observed between the current employment rate and two SF-36 subscales (i.e., role limitations due to physical functioning and social functioning; rho=0.39 and 0.35 respectively) (n = 54). Analysing only the female chronic fatigue syndrome patients (n = 49), the current employment rate correlated significantly with the peak workload (rho=0.38).
Conclusions: The associations between either exercise testing or self-reported disability and employment status are too weak to predict employment status. |
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ISSN: | 0269-2155 1477-0873 |
DOI: | 10.1191/0269215505cr882oa |