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Physical activity monitoring to assess disability progression in multiple sclerosis

BACKGROUND: Clinical outcome measurement in multiple sclerosis (MS) usually requires a physical visit. Remote activity monitoring (RAM) using wearable technology provides a rational alternative, especially desirable when distance is involved or in a pandemic setting. OBJECTIVE: To validate RAM in pr...

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Autores principales: Stuart, Charlotte M, Varatharaj, Aravinthan, Domjan, Janine, Philip, Sheaba, Galea, Ian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7727071/
https://www.ncbi.nlm.nih.gov/pubmed/33343919
http://dx.doi.org/10.1177/2055217320975185
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author Stuart, Charlotte M
Varatharaj, Aravinthan
Domjan, Janine
Philip, Sheaba
Galea, Ian
author_facet Stuart, Charlotte M
Varatharaj, Aravinthan
Domjan, Janine
Philip, Sheaba
Galea, Ian
author_sort Stuart, Charlotte M
collection PubMed
description BACKGROUND: Clinical outcome measurement in multiple sclerosis (MS) usually requires a physical visit. Remote activity monitoring (RAM) using wearable technology provides a rational alternative, especially desirable when distance is involved or in a pandemic setting. OBJECTIVE: To validate RAM in progressive MS using (1) traditional psychometric methods (2) brain atrophy. METHODS: 56 people with progressive MS participated in a longitudinal study over 2.5 years. An arm-worn RAM device measured activity over six days, every six months, and incorporated triaxial accelerometry and transcutaneous physiological variable measurement. Five RAM variables were assessed: physical activity duration, step count, active energy expenditure, metabolic equivalents and a composite RAM score incorporating all four variables. Other assessments every six months included EDSS, MSFC, MSIS-29, Chalder Fatigue Scale and Beck’s Depression Inventory. Annualized brain atrophy was measured using SIENA. RESULTS: RAM was tolerated well by people with MS; the device was worn 99.4% of the time. RAM had good convergent and divergent validity and was responsive, especially with respect to step count. Measurement of physical activity over one day was as responsive as six days. The composite RAM score positively correlated with brain volume loss. CONCLUSION: Remote activity monitoring is a valid and acceptable outcome measure in MS.
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spelling pubmed-77270712020-12-18 Physical activity monitoring to assess disability progression in multiple sclerosis Stuart, Charlotte M Varatharaj, Aravinthan Domjan, Janine Philip, Sheaba Galea, Ian Mult Scler J Exp Transl Clin Original Research Paper BACKGROUND: Clinical outcome measurement in multiple sclerosis (MS) usually requires a physical visit. Remote activity monitoring (RAM) using wearable technology provides a rational alternative, especially desirable when distance is involved or in a pandemic setting. OBJECTIVE: To validate RAM in progressive MS using (1) traditional psychometric methods (2) brain atrophy. METHODS: 56 people with progressive MS participated in a longitudinal study over 2.5 years. An arm-worn RAM device measured activity over six days, every six months, and incorporated triaxial accelerometry and transcutaneous physiological variable measurement. Five RAM variables were assessed: physical activity duration, step count, active energy expenditure, metabolic equivalents and a composite RAM score incorporating all four variables. Other assessments every six months included EDSS, MSFC, MSIS-29, Chalder Fatigue Scale and Beck’s Depression Inventory. Annualized brain atrophy was measured using SIENA. RESULTS: RAM was tolerated well by people with MS; the device was worn 99.4% of the time. RAM had good convergent and divergent validity and was responsive, especially with respect to step count. Measurement of physical activity over one day was as responsive as six days. The composite RAM score positively correlated with brain volume loss. CONCLUSION: Remote activity monitoring is a valid and acceptable outcome measure in MS. SAGE Publications 2020-12-07 /pmc/articles/PMC7727071/ /pubmed/33343919 http://dx.doi.org/10.1177/2055217320975185 Text en © The Author(s) 2020 https://creativecommons.org/licenses/by/4.0/ Creative Commons CC BY: This article is distributed under the terms of the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Original Research Paper
Stuart, Charlotte M
Varatharaj, Aravinthan
Domjan, Janine
Philip, Sheaba
Galea, Ian
Physical activity monitoring to assess disability progression in multiple sclerosis
title Physical activity monitoring to assess disability progression in multiple sclerosis
title_full Physical activity monitoring to assess disability progression in multiple sclerosis
title_fullStr Physical activity monitoring to assess disability progression in multiple sclerosis
title_full_unstemmed Physical activity monitoring to assess disability progression in multiple sclerosis
title_short Physical activity monitoring to assess disability progression in multiple sclerosis
title_sort physical activity monitoring to assess disability progression in multiple sclerosis
topic Original Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7727071/
https://www.ncbi.nlm.nih.gov/pubmed/33343919
http://dx.doi.org/10.1177/2055217320975185
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