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Smartphone data during the COVID‐19 pandemic can quantify behavioral changes in people with ALS

INTRODUCTION: Passive data from smartphone sensors may be useful for health‐care research. Our aim was to use the coronavirus disease‐2019 (COVID‐19) pandemic as a positive control to assess the ability to quantify behavioral changes in people with amyotrophic lateral sclerosis (ALS) from smartphone...

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Autores principales: Beukenhorst, Anna L., Collins, Ella, Burke, Katherine M., Rahman, Syed Minhajur, Clapp, Margaret, Konanki, Sai Charan, Paganoni, Sabrina, Miller, Timothy M., Chan, James, Onnela, Jukka‐Pekka, Berry, James D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7898508/
https://www.ncbi.nlm.nih.gov/pubmed/33118628
http://dx.doi.org/10.1002/mus.27110
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author Beukenhorst, Anna L.
Collins, Ella
Burke, Katherine M.
Rahman, Syed Minhajur
Clapp, Margaret
Konanki, Sai Charan
Paganoni, Sabrina
Miller, Timothy M.
Chan, James
Onnela, Jukka‐Pekka
Berry, James D.
author_facet Beukenhorst, Anna L.
Collins, Ella
Burke, Katherine M.
Rahman, Syed Minhajur
Clapp, Margaret
Konanki, Sai Charan
Paganoni, Sabrina
Miller, Timothy M.
Chan, James
Onnela, Jukka‐Pekka
Berry, James D.
author_sort Beukenhorst, Anna L.
collection PubMed
description INTRODUCTION: Passive data from smartphone sensors may be useful for health‐care research. Our aim was to use the coronavirus disease‐2019 (COVID‐19) pandemic as a positive control to assess the ability to quantify behavioral changes in people with amyotrophic lateral sclerosis (ALS) from smartphone data. METHODS: Eight participants used the Beiwe smartphone application, which passively measured their location during the COVID‐19 outbreak. We used an interrupted time series to quantify the effect of the US state of emergency declaration on daily home time and daily distance traveled. RESULTS: After the state of emergency declaration, median daily home time increased from 19.4 (interquartile range [IQR], 15.4‐22.0) hours to 23.7 (IQR, 22.2‐24.0) hours and median distance traveled decreased from 42 (IQR, 13‐83) km to 3.7 (IQR, 1.5‐10.3) km. The participant with the lowest functional ability changed behavior earlier. This participant stayed at home more and traveled less than the participant with highest functional ability, both before and after the state of emergency. DISCUSSION: We provide evidence that smartphone‐based digital phenotyping can quantify the behavior of people with ALS. Although participants spent large amounts of time at home at baseline, the COVID‐19 state of emergency declaration reduced their mobility further. Given participants' high level of daily home time, it is possible that their exposure to COVID‐19 could be less than that of the general population.
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spelling pubmed-78985082021-03-03 Smartphone data during the COVID‐19 pandemic can quantify behavioral changes in people with ALS Beukenhorst, Anna L. Collins, Ella Burke, Katherine M. Rahman, Syed Minhajur Clapp, Margaret Konanki, Sai Charan Paganoni, Sabrina Miller, Timothy M. Chan, James Onnela, Jukka‐Pekka Berry, James D. Muscle Nerve Clinical Research Short Reports INTRODUCTION: Passive data from smartphone sensors may be useful for health‐care research. Our aim was to use the coronavirus disease‐2019 (COVID‐19) pandemic as a positive control to assess the ability to quantify behavioral changes in people with amyotrophic lateral sclerosis (ALS) from smartphone data. METHODS: Eight participants used the Beiwe smartphone application, which passively measured their location during the COVID‐19 outbreak. We used an interrupted time series to quantify the effect of the US state of emergency declaration on daily home time and daily distance traveled. RESULTS: After the state of emergency declaration, median daily home time increased from 19.4 (interquartile range [IQR], 15.4‐22.0) hours to 23.7 (IQR, 22.2‐24.0) hours and median distance traveled decreased from 42 (IQR, 13‐83) km to 3.7 (IQR, 1.5‐10.3) km. The participant with the lowest functional ability changed behavior earlier. This participant stayed at home more and traveled less than the participant with highest functional ability, both before and after the state of emergency. DISCUSSION: We provide evidence that smartphone‐based digital phenotyping can quantify the behavior of people with ALS. Although participants spent large amounts of time at home at baseline, the COVID‐19 state of emergency declaration reduced their mobility further. Given participants' high level of daily home time, it is possible that their exposure to COVID‐19 could be less than that of the general population. John Wiley & Sons, Inc. 2020-11-28 2021-02 /pmc/articles/PMC7898508/ /pubmed/33118628 http://dx.doi.org/10.1002/mus.27110 Text en © 2020 The Authors. Muscle & Nerve published by Wiley Periodicals LLC. This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
spellingShingle Clinical Research Short Reports
Beukenhorst, Anna L.
Collins, Ella
Burke, Katherine M.
Rahman, Syed Minhajur
Clapp, Margaret
Konanki, Sai Charan
Paganoni, Sabrina
Miller, Timothy M.
Chan, James
Onnela, Jukka‐Pekka
Berry, James D.
Smartphone data during the COVID‐19 pandemic can quantify behavioral changes in people with ALS
title Smartphone data during the COVID‐19 pandemic can quantify behavioral changes in people with ALS
title_full Smartphone data during the COVID‐19 pandemic can quantify behavioral changes in people with ALS
title_fullStr Smartphone data during the COVID‐19 pandemic can quantify behavioral changes in people with ALS
title_full_unstemmed Smartphone data during the COVID‐19 pandemic can quantify behavioral changes in people with ALS
title_short Smartphone data during the COVID‐19 pandemic can quantify behavioral changes in people with ALS
title_sort smartphone data during the covid‐19 pandemic can quantify behavioral changes in people with als
topic Clinical Research Short Reports
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7898508/
https://www.ncbi.nlm.nih.gov/pubmed/33118628
http://dx.doi.org/10.1002/mus.27110
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