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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.
Afiliación
  • Block VJ; Weill Institute for Neurosciences, Department of Neurology, University of California San Francisco, USA.
  • Zhao C; Weill Institute for Neurosciences, Department of Neurology, University of California San Francisco, USA.
  • Hollenbach JA; Weill Institute for Neurosciences, Department of Neurology, University of California San Francisco, USA.
  • Olgin JE; Department of Epidemiology and Biostatistics, University of California San Francisco, USA.
  • Marcus GM; Department of Epidemiology and Biostatistics, University of California San Francisco, USA.
  • Pletcher MJ; Department of Medicine, University of California San Francisco, USA.
  • Henry R; Weill Institute for Neurosciences, University of California San Francisco, USA.
  • Gelfand JM; Weill Institute for Neurosciences, Department of Neurology, University of California San Francisco, USA.
  • Cree BA; Weill Institute for Neurosciences, Department of Neurology, University of California San Francisco, USA.
Mult Scler J Exp Transl Clin ; 5(4): 2055217319888660, 2019.
Article en En | MEDLINE | ID: mdl-31803492
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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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Mult Scler J Exp Transl Clin Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Mult Scler J Exp Transl Clin Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos
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