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Tracking daily fatigue fluctuations in multiple sclerosis: ecological momentary assessment provides unique insights

Studies investigating the prevalence, cause, and consequence of multiple sclerosis (MS) fatigue typically use single measures that implicitly assume symptom-stability over time, neglecting information about if, when, and why severity fluctuates. We aimed to examine the extent of moment-to-moment and...

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Autores principales: Powell, Daniel J. H., Liossi, Christina, Schlotz, Wolff, Moss-Morris, Rona
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5613039/
https://www.ncbi.nlm.nih.gov/pubmed/28281106
http://dx.doi.org/10.1007/s10865-017-9840-4
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author Powell, Daniel J. H.
Liossi, Christina
Schlotz, Wolff
Moss-Morris, Rona
author_facet Powell, Daniel J. H.
Liossi, Christina
Schlotz, Wolff
Moss-Morris, Rona
author_sort Powell, Daniel J. H.
collection PubMed
description Studies investigating the prevalence, cause, and consequence of multiple sclerosis (MS) fatigue typically use single measures that implicitly assume symptom-stability over time, neglecting information about if, when, and why severity fluctuates. We aimed to examine the extent of moment-to-moment and day-to-day variability in fatigue in relapsing-remitting MS and healthy individuals, and identify daily life determinants of fluctuations. Over 4 weekdays, 76 participants (38 relapsing-remitting MS; 38 controls) recruited from multiple sites provided real-time self-reports six times daily (n = 1661 observations analyzed) measuring fatigue severity, stressors, mood, and physical exertion, and daily self-reports of sleep quality. Fatigue fluctuations were evident in both groups. Fatigue was highest in relapsing-remitting MS, typically peaking in late-afternoon. In controls, fatigue started lower and increased steadily until bedtime. Real-time stressors and negative mood were associated with increased fatigue, and positive mood with decreased fatigue in both groups. Increased fatigue was related to physical exertion in relapsing-remitting MS, and poorer sleep quality in controls. In relapsing-remitting MS, fatigue fluctuates substantially over time. Many daily life determinants of fluctuations are similar in relapsing-remitting MS and healthy individuals (stressors, mood) but physical exertion seems more relevant in relapsing-remitting MS and sleep quality most relevant in healthy individuals. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s10865-017-9840-4) contains supplementary material, which is available to authorized users.
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spelling pubmed-56130392017-10-10 Tracking daily fatigue fluctuations in multiple sclerosis: ecological momentary assessment provides unique insights Powell, Daniel J. H. Liossi, Christina Schlotz, Wolff Moss-Morris, Rona J Behav Med Article Studies investigating the prevalence, cause, and consequence of multiple sclerosis (MS) fatigue typically use single measures that implicitly assume symptom-stability over time, neglecting information about if, when, and why severity fluctuates. We aimed to examine the extent of moment-to-moment and day-to-day variability in fatigue in relapsing-remitting MS and healthy individuals, and identify daily life determinants of fluctuations. Over 4 weekdays, 76 participants (38 relapsing-remitting MS; 38 controls) recruited from multiple sites provided real-time self-reports six times daily (n = 1661 observations analyzed) measuring fatigue severity, stressors, mood, and physical exertion, and daily self-reports of sleep quality. Fatigue fluctuations were evident in both groups. Fatigue was highest in relapsing-remitting MS, typically peaking in late-afternoon. In controls, fatigue started lower and increased steadily until bedtime. Real-time stressors and negative mood were associated with increased fatigue, and positive mood with decreased fatigue in both groups. Increased fatigue was related to physical exertion in relapsing-remitting MS, and poorer sleep quality in controls. In relapsing-remitting MS, fatigue fluctuates substantially over time. Many daily life determinants of fluctuations are similar in relapsing-remitting MS and healthy individuals (stressors, mood) but physical exertion seems more relevant in relapsing-remitting MS and sleep quality most relevant in healthy individuals. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s10865-017-9840-4) contains supplementary material, which is available to authorized users. Springer US 2017-03-09 2017 /pmc/articles/PMC5613039/ /pubmed/28281106 http://dx.doi.org/10.1007/s10865-017-9840-4 Text en © The Author(s) 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Article
Powell, Daniel J. H.
Liossi, Christina
Schlotz, Wolff
Moss-Morris, Rona
Tracking daily fatigue fluctuations in multiple sclerosis: ecological momentary assessment provides unique insights
title Tracking daily fatigue fluctuations in multiple sclerosis: ecological momentary assessment provides unique insights
title_full Tracking daily fatigue fluctuations in multiple sclerosis: ecological momentary assessment provides unique insights
title_fullStr Tracking daily fatigue fluctuations in multiple sclerosis: ecological momentary assessment provides unique insights
title_full_unstemmed Tracking daily fatigue fluctuations in multiple sclerosis: ecological momentary assessment provides unique insights
title_short Tracking daily fatigue fluctuations in multiple sclerosis: ecological momentary assessment provides unique insights
title_sort tracking daily fatigue fluctuations in multiple sclerosis: ecological momentary assessment provides unique insights
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5613039/
https://www.ncbi.nlm.nih.gov/pubmed/28281106
http://dx.doi.org/10.1007/s10865-017-9840-4
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