Association of daily physical activity with brain volumes and cervical spinal cord areas in multiple sclerosis.


Journal

Multiple sclerosis (Houndmills, Basingstoke, England)
ISSN: 1477-0970
Titre abrégé: Mult Scler
Pays: England
ID NLM: 9509185

Informations de publication

Date de publication:
03 2023
Historique:
pubmed: 28 12 2022
medline: 3 3 2023
entrez: 27 12 2022
Statut: ppublish

Résumé

Remote activity monitoring has the potential to evaluate real-world, motor function, and disability at home. The relationships of daily physical activity with spinal cord white matter and gray matter (GM) areas, multiple sclerosis (MS) disability and leg function, are unknown. Evaluate the association of structural central nervous system pathology with ambulatory disability. Fifty adults with progressive or relapsing MS with motor disability who could walk >2 minutes were assessed using clinician-evaluated, patient-reported outcomes, and quantitative brain and spinal cord magnetic resonance imaging (MRI) measures. Fitbit Flex2, worn on the non-dominant wrist, remotely assessed activity over 30 days. Univariate and multivariate analyses were performed to assess correlations between physical activity and other disability metrics. Mean age was 53.3 years and median Expanded Disability Status Scale (EDSS) was 4.0. Average daily step counts (STEPS) were highly correlated with EDSS and walking measures. Greater STEPS were significantly correlated with greater C2-C3 spinal cord GM areas (ρ = 0.39, These results provide preliminary evidence that spinal cord GM area is a neuroanatomical substrate associated with STEPS. STEPS could serve as a proxy to alert clinicians and researchers to possible changes in structural nervous system pathology.

Sections du résumé

BACKGROUND
Remote activity monitoring has the potential to evaluate real-world, motor function, and disability at home. The relationships of daily physical activity with spinal cord white matter and gray matter (GM) areas, multiple sclerosis (MS) disability and leg function, are unknown.
OBJECTIVE
Evaluate the association of structural central nervous system pathology with ambulatory disability.
METHODS
Fifty adults with progressive or relapsing MS with motor disability who could walk >2 minutes were assessed using clinician-evaluated, patient-reported outcomes, and quantitative brain and spinal cord magnetic resonance imaging (MRI) measures. Fitbit Flex2, worn on the non-dominant wrist, remotely assessed activity over 30 days. Univariate and multivariate analyses were performed to assess correlations between physical activity and other disability metrics.
RESULTS
Mean age was 53.3 years and median Expanded Disability Status Scale (EDSS) was 4.0. Average daily step counts (STEPS) were highly correlated with EDSS and walking measures. Greater STEPS were significantly correlated with greater C2-C3 spinal cord GM areas (ρ = 0.39,
CONCLUSION
These results provide preliminary evidence that spinal cord GM area is a neuroanatomical substrate associated with STEPS. STEPS could serve as a proxy to alert clinicians and researchers to possible changes in structural nervous system pathology.

Identifiants

pubmed: 36573559
doi: 10.1177/13524585221143726
pmc: PMC9972237
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

363-373

Subventions

Organisme : NINDS NIH HHS
ID : R35 NS111644
Pays : United States

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Auteurs

Valerie J Block (VJ)

UCSF Weill Institute for Neurosciences, Department of Neurology, University of California San Francisco, San Francisco, CA, USA/Department of Physical Therapy and Rehabilitation Science, University of California San Francisco, San Francisco, CA, USA.

Shuiting Cheng (S)

UCSF Weill Institute for Neurosciences, Department of Neurology, University of California San Francisco, San Francisco, CA, USA.

Jeremy Juwono (J)

UCSF Weill Institute for Neurosciences, Department of Neurology, University of California San Francisco, San Francisco, CA, USA.

Richard Cuneo (R)

UCSF Weill Institute for Neurosciences, Department of Neurology, University of California San Francisco, San Francisco, CA, USA.

Gina Kirkish (G)

UCSF Weill Institute for Neurosciences, Department of Neurology, University of California San Francisco, San Francisco, CA, USA.

Amber M Alexander (AM)

UCSF Weill Institute for Neurosciences, Department of Neurology, University of California San Francisco, San Francisco, CA, USA.

Mahir Khan (M)

UCSF Weill Institute for Neurosciences, Department of Neurology, University of California San Francisco, San Francisco, CA, USA.

Amit Akula (A)

UCSF Weill Institute for Neurosciences, Department of Neurology, University of California San Francisco, San Francisco, CA, USA.

Eduardo Caverzasi (E)

UCSF Weill Institute for Neurosciences, Department of Neurology, University of California San Francisco, San Francisco, CA, USA/Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy.

Nico Papinutto (N)

UCSF Weill Institute for Neurosciences, Department of Neurology, University of California San Francisco, San Francisco, CA, USA.

William A Stern (WA)

UCSF Weill Institute for Neurosciences, Department of Neurology, University of California San Francisco, San Francisco, CA, USA.

Mark J Pletcher (MJ)

Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA/Department of Medicine, University of California San Francisco, San Francisco, CA, USA.

Gregory M Marcus (GM)

Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA.

Jeffrey E Olgin (JE)

Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA.

Stephen L Hauser (SL)

UCSF Weill Institute for Neurosciences, Department of Neurology, University of California San Francisco, San Francisco, CA, USA.

Jeffrey M Gelfand (JM)

UCSF Weill Institute for Neurosciences, Department of Neurology, University of California San Francisco, San Francisco, CA, USA.

Riley Bove (R)

UCSF Weill Institute for Neurosciences, Department of Neurology, University of California San Francisco, San Francisco, CA, USA.

Bruce Ac Cree (BA)

UCSF Weill Institute for Neurosciences, Department of Neurology, University of California San Francisco, San Francisco, CA, USA.

Roland G Henry (RG)

UCSF Weill Institute for Neurosciences, Department of Neurology, University of California San Francisco, San Francisco, CA, USA/Department of Radiology, University of California San Francisco, San Francisco, CA, USA.

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Classifications MeSH