ArticleFrontiers in neurology2017
Fatigue and Sleep in Multiple Sclerosis Patients: A Comparison of Self-Report and Performance-Based Measures.
Article in Frontiers in neurology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Machine Learning-Based Prediction of Sleep Quality in Patients with Multiple Sclerosis.Medical sciences (Basel, Switzerland) · 2026Observational
- Detecting fatigue in multiple sclerosis through automatic speech analysis.Frontiers in human neuroscience · 2024Article
- The Complex Interplay Between Trait Fatigue and Cognition in Multiple Sclerosis.Psychologica Belgica · 2022Article
- Effect of COVID-19 home confinement on sleep monitorization and cardiac autonomic function in people with multiple sclerosis: A prospective cohort studyPhysiology & behavior · 2021Article
- In search of distinct MS-related fatigue subtypes: results from a multi-cohort analysis in 1.403 MS patients.Journal of neurology · 2019Article
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3 authors.
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Abstract
backgroundMultiple sclerosis (MS) patients suffer very often from MS fatigue and sleep problems. Despite the detrimental impact on the activities of daily living, a short and objective quantification of fatigue and sleep problems is currently lacking.
objectiveThe objective of the study was to systematically investigate tonic, intrinsic, and phasic alertness and the relationship of these performance-based measures with self-report measures of fatigue and quality of sleep.
methodsThirty-three MS patients without (MS-) and 26 with selected comorbid disorders (MS+) and 43 healthy controls (HCs) performed the pupillographic sleepiness test (measuring tonic alertness) and the alertness subtest of the Test of Attentional Performance (measuring intrinsic and phasic alertness).
resultsSelf-reported and performance-based measures revealed poorer performance for both MS groups compared to HC. MS+ patients presented higher rates of MS fatigue, sleep problems and depressive symptoms but similar alertness scores compared to MS- patients. However, tonic alertness was only higher in MS- patients compared to HC. Intrinsic and phasic alertness correlated moderately with fatigue ratings.
conclusionIn the diagnostic process of MS fatigue and quality of sleep comorbid disorders (depression, anemia, thyroid dysfunction) and performance-based measures such as alertness should be considered in daily clinical practice.
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