Validity and Acceptability of Wearable Devices for Monitoring Step-Count and Activity Minutes Among People With Multiple Sclerosis.
acceptability
multiple sclerosis
physical activity
step-count
validity
wearable devices
Journal
Frontiers in rehabilitation sciences
ISSN: 2673-6861
Titre abrégé: Front Rehabil Sci
Pays: Switzerland
ID NLM: 9918227358906676
Informations de publication
Date de publication:
2021
2021
Historique:
received:
06
07
2021
accepted:
19
11
2021
entrez:
3
10
2022
pubmed:
4
10
2022
medline:
4
10
2022
Statut:
epublish
Résumé
Multiple wearable devices that purport to measure physical activity are widely available to consumers. While they may support increases in physical activity among people with multiple sclerosis (MS) by providing feedback on their performance, there is little information about the validity and acceptability of these devices. Providing devices that are perceived as inaccurate and difficult to use may have negative consequences for people with MS, rather than supporting participation in physical activity. The aim of this study was, therefore, to assess the validity and acceptability of commercially available devices for monitoring step-count and activity time among people with MS. Nineteen ambulatory adults with MS [mean (SD) age 52.1 (11.9) years] participated in the study. Step-count was assessed using five commercially available devices (Fitbit Alta, Fitbit Zip, Garmin Vivofit 4, Yamax Digi Walker SW200, and Letscom monitor) and an activPAL3μ while completing nine everyday activities. Step-count was also manually counted. Time in light activity, moderate-to-vigorous activity, and total activity were measured during activities using an Actigraph GT3X accelerometer. Of the 19 participants who completed the validity study, fifteen of these people also wore the five commercially available devices for three consecutive days each, and participated in a semi-structured interview regarding their perception of the acceptability of the monitors. Mean percentage error for step-count ranged from 12.1% for the Yamax SW200 to -112.3% for the Letscom. Mean step-count as manually determined differed to mean step-count measured by the Fitbit Alta (
Identifiants
pubmed: 36188762
doi: 10.3389/fresc.2021.737384
pmc: PMC9397948
doi:
Types de publication
Journal Article
Langues
eng
Pagination
737384Informations de copyright
Copyright © 2022 Lavelle, Norris, Flemming, Harper, Bradley, Johnston, Fortune, Stennett, Kilbride and Ryan.
Déclaration de conflit d'intérêts
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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