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Validation of a consumer-grade activity monitor for continuous daily activity monitoring in individuals with multiple sclerosis

BACKGROUND: Technological advancements of remote-monitoring used in clinical-care and research require validation of model updates. OBJECTIVES: To compare the output of a newer consumer-grade accelerometer to a previous model in people with multiple sclerosis (MS) and to the ActiGraph, a waist-worn...

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Autores principales: Block, Valerie J, Zhao, Chao, Hollenbach, Jill A, Olgin, Jeffrey E, Marcus, Gregory M, Pletcher, Mark J, Henry, Roland, Gelfand, Jeffrey M, Cree, Bruce AC
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6876176/
https://www.ncbi.nlm.nih.gov/pubmed/31803492
http://dx.doi.org/10.1177/2055217319888660
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author Block, Valerie J
Zhao, Chao
Hollenbach, Jill A
Olgin, Jeffrey E
Marcus, Gregory M
Pletcher, Mark J
Henry, Roland
Gelfand, Jeffrey M
Cree, Bruce AC
author_facet Block, Valerie J
Zhao, Chao
Hollenbach, Jill A
Olgin, Jeffrey E
Marcus, Gregory M
Pletcher, Mark J
Henry, Roland
Gelfand, Jeffrey M
Cree, Bruce AC
author_sort Block, Valerie J
collection PubMed
description BACKGROUND: Technological advancements of remote-monitoring used in clinical-care and research require validation of model updates. OBJECTIVES: To compare the output of a newer consumer-grade accelerometer to a previous model in people with multiple sclerosis (MS) and to the ActiGraph, a waist-worn device widely used in MS research. METHODS: Thirty-one individuals with MS participated in a 7-day validation by the Fitbit Flex (Flex), Fitbit Flex-2 (Flex2) and ActiGraph GT3X. Primary outcome was step count. Valid epochs of 5-min block increments, where there was overlap of ≥1 step/min for both devices were compared and summed to give a daily total for analysis. RESULTS: Bland–Altman plots showed no systematic difference between the Flex and Flex2; mean step-count difference of 25 more steps-per-day more recorded by Flex2 (95% confidence intervals (CI) = 2, 48; p = 0.04),interclass correlation coefficient (ICC) = 1.00. Compared to the ActiGraph, Flex2 (and Flex) tended to record more steps (808 steps-per-day more than the ActiGraph (95% CI= –2380, 765; p < 0.01), although the ICC was high (0.98) indicating that the devices were likely measuring the same kind of activity. CONCLUSIONS: Steps from Flex and Flex2 can be used interchangeably. Differences in total step count between ActiGraph and Flex devices can make cross-device comparisons of numerical step-counts challenging particularly for faster walkers.
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spelling pubmed-68761762019-12-04 Validation of a consumer-grade activity monitor for continuous daily activity monitoring in individuals with multiple sclerosis Block, Valerie J Zhao, Chao Hollenbach, Jill A Olgin, Jeffrey E Marcus, Gregory M Pletcher, Mark J Henry, Roland Gelfand, Jeffrey M Cree, Bruce AC Mult Scler J Exp Transl Clin Original Research Paper BACKGROUND: Technological advancements of remote-monitoring used in clinical-care and research require validation of model updates. OBJECTIVES: To compare the output of a newer consumer-grade accelerometer to a previous model in people with multiple sclerosis (MS) and to the ActiGraph, a waist-worn device widely used in MS research. METHODS: Thirty-one individuals with MS participated in a 7-day validation by the Fitbit Flex (Flex), Fitbit Flex-2 (Flex2) and ActiGraph GT3X. Primary outcome was step count. Valid epochs of 5-min block increments, where there was overlap of ≥1 step/min for both devices were compared and summed to give a daily total for analysis. RESULTS: Bland–Altman plots showed no systematic difference between the Flex and Flex2; mean step-count difference of 25 more steps-per-day more recorded by Flex2 (95% confidence intervals (CI) = 2, 48; p = 0.04),interclass correlation coefficient (ICC) = 1.00. Compared to the ActiGraph, Flex2 (and Flex) tended to record more steps (808 steps-per-day more than the ActiGraph (95% CI= –2380, 765; p < 0.01), although the ICC was high (0.98) indicating that the devices were likely measuring the same kind of activity. CONCLUSIONS: Steps from Flex and Flex2 can be used interchangeably. Differences in total step count between ActiGraph and Flex devices can make cross-device comparisons of numerical step-counts challenging particularly for faster walkers. SAGE Publications 2019-11-21 /pmc/articles/PMC6876176/ /pubmed/31803492 http://dx.doi.org/10.1177/2055217319888660 Text en © The Author(s) 2019 http://creativecommons.org/licenses/by-nc/4.0/ Creative Commons Non Commercial CC BY-NC: This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (http://www.creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial 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
Block, Valerie J
Zhao, Chao
Hollenbach, Jill A
Olgin, Jeffrey E
Marcus, Gregory M
Pletcher, Mark J
Henry, Roland
Gelfand, Jeffrey M
Cree, Bruce AC
Validation of a consumer-grade activity monitor for continuous daily activity monitoring in individuals with multiple sclerosis
title Validation of a consumer-grade activity monitor for continuous daily activity monitoring in individuals with multiple sclerosis
title_full Validation of a consumer-grade activity monitor for continuous daily activity monitoring in individuals with multiple sclerosis
title_fullStr Validation of a consumer-grade activity monitor for continuous daily activity monitoring in individuals with multiple sclerosis
title_full_unstemmed Validation of a consumer-grade activity monitor for continuous daily activity monitoring in individuals with multiple sclerosis
title_short Validation of a consumer-grade activity monitor for continuous daily activity monitoring in individuals with multiple sclerosis
title_sort validation of a consumer-grade activity monitor for continuous daily activity monitoring in individuals with multiple sclerosis
topic Original Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6876176/
https://www.ncbi.nlm.nih.gov/pubmed/31803492
http://dx.doi.org/10.1177/2055217319888660
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