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Sleep characteristics of persons with chronic fatigue syndrome and non-fatigued controls: results from a population-based study.

Authors :
Reeves WC
Heim C
Maloney EM
Youngblood LS
Unger ER
Decker MJ
Jones JF
Rye DB
Source :
BMC neurology [BMC Neurol] 2006 Nov 16; Vol. 6, pp. 41. Date of Electronic Publication: 2006 Nov 16.
Publication Year :
2006

Abstract

Background: The etiology and pathophysiology of chronic fatigue syndrome (CFS) remain inchoate. Attempts to elucidate the pathophysiology must consider sleep physiology, as unrefreshing sleep is the most commonly reported of the 8 case-defining symptoms of CFS. Although published studies have consistently reported inefficient sleep and documented a variable occurrence of previously undiagnosed primary sleep disorders, they have not identified characteristic disturbances in sleep architecture or a distinctive pattern of polysomnographic abnormalities associated with CFS.<br />Methods: This study recruited CFS cases and non-fatigued controls from a population based study of CFS in Wichita, Kansas. Participants spent two nights in the research unit of a local hospital and underwent overnight polysomnographic and daytime multiple sleep latency testing in order to characterize sleep architecture.<br />Results: Approximately 18% of persons with CFS and 7% of asymptomatic controls were diagnosed with severe primary sleep disorders and were excluded from further analysis. These rates were not significantly different. Persons with CFS had a significantly higher mean frequency of obstructive apnea per hour (p = .003); however, the difference was not clinically meaningful. Other characteristics of sleep architecture did not differ between persons with CFS and controls.<br />Conclusion: Although disordered breathing during sleep may be associated with CFS, this study generally did not provide evidence that altered sleep architecture is a critical factor in CFS. Future studies should further scrutinize the relationship between subjective sleep quality relative to objective polysomnographic measures.

Details

Language :
English
ISSN :
1471-2377
Volume :
6
Database :
MEDLINE
Journal :
BMC neurology
Publication Type :
Academic Journal
Accession number :
17109739
Full Text :
https://doi.org/10.1186/1471-2377-6-41