Stuart, CM;
Varatharaj, A;
Domjan, J;
Philip, S;
Galea, I;
Adams, E;
Ali, R;
... Zotova, E; + view all
(2020)
Physical activity monitoring to assess disability progression in multiple sclerosis.
Multiple Sclerosis Journal - Experimental, Translational and Clinical
, 6
(4)
10.1177/2055217320975185.
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Abstract
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.
| Type: | Article |
|---|---|
| Title: | Physical activity monitoring to assess disability progression in multiple sclerosis |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1177/2055217320975185 |
| Publisher version: | http://dx.doi.org/10.1177/2055217320975185 |
| Language: | English |
| Additional information: | 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). |
| Keywords: | Multiple sclerosis, progressive multiple sclerosis, remote physical activity monitoring, accelerometer, wearable electronic devices, teleneurology |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UK Dementia Research Institute HQ |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10118186 |
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