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A practical validation study of a commercial accelerometer using good and poor sleepers

We validated a Fitbit sleep tracking device against typical research-use actigraphy across four nights on 38 young adults. Fitbit devices overestimated sleep and were less sensitive to differences compared to the Actiwatch, but nevertheless captured 88 (poor sleepers) to 98 percent (good sleepers) o...

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Detalles Bibliográficos
Autores principales: Dickinson, David L, Cazier, Joseph, Cech, Thomas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5221738/
https://www.ncbi.nlm.nih.gov/pubmed/28815052
http://dx.doi.org/10.1177/2055102916679012
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author Dickinson, David L
Cazier, Joseph
Cech, Thomas
author_facet Dickinson, David L
Cazier, Joseph
Cech, Thomas
author_sort Dickinson, David L
collection PubMed
description We validated a Fitbit sleep tracking device against typical research-use actigraphy across four nights on 38 young adults. Fitbit devices overestimated sleep and were less sensitive to differences compared to the Actiwatch, but nevertheless captured 88 (poor sleepers) to 98 percent (good sleepers) of Actiwatch estimated sleep time changes. Bland–Altman analysis shows that the average difference between device measurements can be sizable. We therefore do not recommend the Fitbit device when accurate point estimates are important. However, when qualitative impacts are of interest (e.g. the effect of an intervention), then the Fitbit device should at least correctly identify the effect’s sign.
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spelling pubmed-52217382017-08-16 A practical validation study of a commercial accelerometer using good and poor sleepers Dickinson, David L Cazier, Joseph Cech, Thomas Health Psychol Open Report of Empirical Study We validated a Fitbit sleep tracking device against typical research-use actigraphy across four nights on 38 young adults. Fitbit devices overestimated sleep and were less sensitive to differences compared to the Actiwatch, but nevertheless captured 88 (poor sleepers) to 98 percent (good sleepers) of Actiwatch estimated sleep time changes. Bland–Altman analysis shows that the average difference between device measurements can be sizable. We therefore do not recommend the Fitbit device when accurate point estimates are important. However, when qualitative impacts are of interest (e.g. the effect of an intervention), then the Fitbit device should at least correctly identify the effect’s sign. SAGE Publications 2016-11-29 /pmc/articles/PMC5221738/ /pubmed/28815052 http://dx.doi.org/10.1177/2055102916679012 Text en © The Author(s) 2016 http://creativecommons.org/licenses/by-nc/3.0/ This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 3.0 License (http://www.creativecommons.org/licenses/by-nc/3.0/) 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 page(https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Report of Empirical Study
Dickinson, David L
Cazier, Joseph
Cech, Thomas
A practical validation study of a commercial accelerometer using good and poor sleepers
title A practical validation study of a commercial accelerometer using good and poor sleepers
title_full A practical validation study of a commercial accelerometer using good and poor sleepers
title_fullStr A practical validation study of a commercial accelerometer using good and poor sleepers
title_full_unstemmed A practical validation study of a commercial accelerometer using good and poor sleepers
title_short A practical validation study of a commercial accelerometer using good and poor sleepers
title_sort practical validation study of a commercial accelerometer using good and poor sleepers
topic Report of Empirical Study
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5221738/
https://www.ncbi.nlm.nih.gov/pubmed/28815052
http://dx.doi.org/10.1177/2055102916679012
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