Longitudinal relationships between free-living activities, fatigue, and symptom severity in myasthenia gravis using cohort and individualized models.

myasthenia gravis neuromuscular disease physical activity remote monitoring wearable technology

Journal

Muscle & nerve
ISSN: 1097-4598
Titre abrégé: Muscle Nerve
Pays: United States
ID NLM: 7803146

Informations de publication

Date de publication:
30 Oct 2024
Historique:
revised: 09 10 2024
received: 11 12 2023
accepted: 13 10 2024
medline: 30 10 2024
pubmed: 30 10 2024
entrez: 30 10 2024
Statut: aheadofprint

Résumé

Fluctuating symptoms and fatigue are common issues in myasthenia gravis (MG), but it is unclear if these symptoms are related to physical activity or sleep patterns. This study sought to determine the day-to-day relationship between patient-reported symptoms and physical activity and sleep over 12 weeks. Sixteen participants with generalized MG wore a wrist-mounted accelerometer continuously for the study duration and reported their symptoms and fatigue each evening. Cumulative link mixed models were used to analyze whether clinical and demographic characteristics, physical activity, and sleep were related to symptom severity and fatigue over the study period. Three types of models were constructed: a cohort model, a model in which data was scaled to each participant, and individual models. The cohort model indicated that higher disease severity, female sex, more comorbidities, less physical activity, more inactive time, and lower quantity of sleep were significantly associated with increased symptom severity and fatigue (p < .05). However, in the within-participant scaled model, there were almost no significant associations with physical activity or sleep. In the individual models, some participants showed similar results to the cohort model, but others showed no associations or the opposite response in some variables. While physical activity and sleep were associated with self-reported symptoms and fatigue within this population, this was not necessarily applicable to individuals. This demonstrates the importance of an individualized analysis for determining how physical activity and sleep may impact outcomes in MG, with implications for clinical and self-management.

Identifiants

pubmed: 39473433
doi: 10.1002/mus.28282
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Alberta Innovates-Health Solutions
Organisme : Canadian Neuromuscular Disease Registry
Organisme : University of Calgary
Organisme : NSERC CREATE Wearable Technology and Collaboration (We-TRAC) Training Program
ID : CREATE/511166-2292018

Informations de copyright

© 2024 The Author(s). Muscle & Nerve published by Wiley Periodicals LLC.

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Auteurs

Hannah L Dimmick (HL)

Human Performance Laboratory, Faculty of Kinesiology, University of Calgary, Calgary, Alberta, Canada.

Gordon Jewett (G)

Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada.

Lawrence W Korngut (LW)

Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada.

Reed Ferber (R)

Human Performance Laboratory, Faculty of Kinesiology, University of Calgary, Calgary, Alberta, Canada.
Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
Running Injury Clinic, University of Calgary, Calgary, Alberta, Canada.

Classifications MeSH