Younger age, female sex, and high number of awakenings and arousals predict fatigue in patients with sleep disorders: a retrospective polysomnographic observational study

Christian Veauthier1,21Department of Neurology, Hanse-Klinikum, Stralsund, Germany; 2Department of Neurology, Centre Hospitalier de Belfort-Montbéliard (CHBM), Montbéliard, FranceBackground: The Fatigue Severity Scale (FSS) is widely used to assess fatigue, not only in the cont...

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Publicado: Dove Medical Press 2013
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spelling oai:doaj.org-article:bb45e7896cd647e499a8ace5f74a1c9b2021-12-02T05:56:57ZYounger age, female sex, and high number of awakenings and arousals predict fatigue in patients with sleep disorders: a retrospective polysomnographic observational study1176-63281178-2021https://doaj.org/article/bb45e7896cd647e499a8ace5f74a1c9b2013-09-01T00:00:00Zhttp://www.dovepress.com/younger-age-female-sex-and-high-number-of-awakenings-and-arousals-pred-a14521https://doaj.org/toc/1176-6328https://doaj.org/toc/1178-2021Christian Veauthier1,21Department of Neurology, Hanse-Klinikum, Stralsund, Germany; 2Department of Neurology, Centre Hospitalier de Belfort-Montbéliard (CHBM), Montbéliard, FranceBackground: The Fatigue Severity Scale (FSS) is widely used to assess fatigue, not only in the context of multiple sclerosis-related fatigue, but also in many other medical conditions. Some polysomnographic studies have shown high FSS values in sleep-disordered patients without multiple sclerosis. The Modified Fatigue Impact Scale (MFIS) has increasingly been used in order to assess fatigue, but polysomnographic data investigating sleep-disordered patients are thus far unavailable. Moreover, the pathophysiological link between sleep architecture and fatigue measured with the MFIS and the FSS has not been previously investigated.Methods: This was a retrospective observational study (n = 410) with subgroups classified according to sleep diagnosis. The statistical analysis included nonparametric correlation between questionnaire results and polysomnographic data, age and sex, and univariate and multiple logistic regression.Results: The multiple logistic regression showed a significant relationship between FSS/MFIS values and younger age and female sex. Moreover, there was a significant relationship between FSS values and number of arousals and between MFIS values and number of awakenings.Conclusion: Younger age, female sex, and high number of awakenings and arousals are predictive of fatigue in sleep-disordered patients. Further investigations are needed to find the pathophysiological explanation for these relationships.Keywords: fatigue, sleep disorders, multiple sclerosis, polysomnography, Modified Fatigue Impact Scale, Fatigue Severity Scale, nocturnal awakening, ageVeauthier CDove Medical PressarticleNeurosciences. Biological psychiatry. NeuropsychiatryRC321-571Neurology. Diseases of the nervous systemRC346-429ENNeuropsychiatric Disease and Treatment, Vol 2013, Iss default, Pp 1483-1494 (2013)
institution DOAJ
collection DOAJ
language EN
topic Neurosciences. Biological psychiatry. Neuropsychiatry
RC321-571
Neurology. Diseases of the nervous system
RC346-429
spellingShingle Neurosciences. Biological psychiatry. Neuropsychiatry
RC321-571
Neurology. Diseases of the nervous system
RC346-429
Veauthier C
Younger age, female sex, and high number of awakenings and arousals predict fatigue in patients with sleep disorders: a retrospective polysomnographic observational study
description Christian Veauthier1,21Department of Neurology, Hanse-Klinikum, Stralsund, Germany; 2Department of Neurology, Centre Hospitalier de Belfort-Montbéliard (CHBM), Montbéliard, FranceBackground: The Fatigue Severity Scale (FSS) is widely used to assess fatigue, not only in the context of multiple sclerosis-related fatigue, but also in many other medical conditions. Some polysomnographic studies have shown high FSS values in sleep-disordered patients without multiple sclerosis. The Modified Fatigue Impact Scale (MFIS) has increasingly been used in order to assess fatigue, but polysomnographic data investigating sleep-disordered patients are thus far unavailable. Moreover, the pathophysiological link between sleep architecture and fatigue measured with the MFIS and the FSS has not been previously investigated.Methods: This was a retrospective observational study (n = 410) with subgroups classified according to sleep diagnosis. The statistical analysis included nonparametric correlation between questionnaire results and polysomnographic data, age and sex, and univariate and multiple logistic regression.Results: The multiple logistic regression showed a significant relationship between FSS/MFIS values and younger age and female sex. Moreover, there was a significant relationship between FSS values and number of arousals and between MFIS values and number of awakenings.Conclusion: Younger age, female sex, and high number of awakenings and arousals are predictive of fatigue in sleep-disordered patients. Further investigations are needed to find the pathophysiological explanation for these relationships.Keywords: fatigue, sleep disorders, multiple sclerosis, polysomnography, Modified Fatigue Impact Scale, Fatigue Severity Scale, nocturnal awakening, age
format article
author Veauthier C
author_facet Veauthier C
author_sort Veauthier C
title Younger age, female sex, and high number of awakenings and arousals predict fatigue in patients with sleep disorders: a retrospective polysomnographic observational study
title_short Younger age, female sex, and high number of awakenings and arousals predict fatigue in patients with sleep disorders: a retrospective polysomnographic observational study
title_full Younger age, female sex, and high number of awakenings and arousals predict fatigue in patients with sleep disorders: a retrospective polysomnographic observational study
title_fullStr Younger age, female sex, and high number of awakenings and arousals predict fatigue in patients with sleep disorders: a retrospective polysomnographic observational study
title_full_unstemmed Younger age, female sex, and high number of awakenings and arousals predict fatigue in patients with sleep disorders: a retrospective polysomnographic observational study
title_sort younger age, female sex, and high number of awakenings and arousals predict fatigue in patients with sleep disorders: a retrospective polysomnographic observational study
publisher Dove Medical Press
publishDate 2013
url https://doaj.org/article/bb45e7896cd647e499a8ace5f74a1c9b
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