Wearable Activity Trackers for Monitoring Adherence to Home Confinement During the COVID-19 Pandemic Worldwide: Data Aggregation and Analysis.
Identifieur interne : 000F44 ( Main/Curation ); précédent : 000F43; suivant : 000F45Wearable Activity Trackers for Monitoring Adherence to Home Confinement During the COVID-19 Pandemic Worldwide: Data Aggregation and Analysis.
Auteurs : Jean Louis Pépin [France] ; Rosa Maria Bruno [France] ; Rui-Yi Yang [France] ; Vincent Vercamer [France] ; Paul Jouhaud [France] ; Pierre Escourrou [France] ; Pierre Boutouyrie [France]Source :
- Journal of medical Internet research [ 1438-8871 ] ; 2020.
Descripteurs français
- KwdFr :
- Adulte (MeSH), Adulte d'âge moyen (MeSH), Agrégation de données (MeSH), Analyse de données (MeSH), Betacoronavirus (MeSH), Espagne (MeSH), Europe (MeSH), Femelle (MeSH), France (MeSH), Humains (MeSH), Infections à coronavirus (prévention et contrôle), Infections à coronavirus (transmission), Infections à coronavirus (épidémiologie), Isolement social (MeSH), Locomotion (MeSH), Moniteurs de condition physique (MeSH), Mâle (MeSH), Pandémies (prévention et contrôle), Pneumopathie virale (prévention et contrôle), Pneumopathie virale (transmission), Pneumopathie virale (épidémiologie).
- MESH :
- prévention et contrôle : Infections à coronavirus, Pandémies, Pneumopathie virale.
- épidémiologie : Infections à coronavirus, Pneumopathie virale.
- Adulte, Adulte d'âge moyen, Agrégation de données, Analyse de données, Betacoronavirus, Espagne, Europe, Femelle, France, Humains, Isolement social, Locomotion, Moniteurs de condition physique, Mâle.
- Wicri :
English descriptors
- KwdEn :
- Adult (MeSH), Betacoronavirus (MeSH), Coronavirus Infections (epidemiology), Coronavirus Infections (prevention & control), Coronavirus Infections (transmission), Data Aggregation (MeSH), Data Analysis (MeSH), Europe (MeSH), Female (MeSH), Fitness Trackers (MeSH), France (MeSH), Humans (MeSH), Locomotion (MeSH), Male (MeSH), Middle Aged (MeSH), Pandemics (prevention & control), Pneumonia, Viral (epidemiology), Pneumonia, Viral (prevention & control), Pneumonia, Viral (transmission), Social Isolation (MeSH), Spain (MeSH).
- MESH :
- geographic : Europe, France, Spain.
- epidemiology : Coronavirus Infections, Pneumonia, Viral.
- prevention & control : Coronavirus Infections, Pandemics, Pneumonia, Viral.
- transmission : Coronavirus Infections, Pneumonia, Viral.
- Adult, Betacoronavirus, Data Aggregation, Data Analysis, Female, Fitness Trackers, Humans, Locomotion, Male, Middle Aged, Social Isolation.
Abstract
BACKGROUND
In the context of home confinement during the coronavirus disease (COVID-19) pandemic, objective, real-time data are needed to assess populations' adherence to home confinement to adapt policies and control measures accordingly.
OBJECTIVE
The aim of this study was to determine whether wearable activity trackers could provide information regarding users' adherence to home confinement policies because of their capacity for seamless and continuous monitoring of individuals' natural activity patterns regardless of their location.
METHODS
We analyzed big data from individuals using activity trackers (Withings) that count the wearer's average daily number of steps in a number of representative nations that adopted different modalities of restriction of citizens' activities.
RESULTS
Data on the number of steps per day from over 740,000 individuals around the world were analyzed. We demonstrate the physical activity patterns in several representative countries with total, partial, or no home confinement. The decrease in steps per day in regions with strict total home confinement ranged from 25% to 54%. Partial lockdown (characterized by social distancing measures such as school closures, bar and restaurant closures, and cancellation of public meetings but without strict home confinement) does not appear to have a significant impact on people's activity compared to the pre-pandemic period. The absolute level of physical activity under total home confinement in European countries is around twofold that in China. In some countries, such as France and Spain, physical activity started to gradually decrease even before official commitment to lockdown as a result of initial less stringent restriction orders or self-quarantine. However, physical activity began to increase again in the last 2 weeks, suggesting a decrease in compliance with confinement orders.
CONCLUSIONS
Aggregate analysis of activity tracker data with the potential for daily updates can provide information regarding adherence to home confinement policies.
DOI: 10.2196/19787
PubMed: 32501803
PubMed Central: PMC7307323
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<term>Betacoronavirus (MeSH)</term>
<term>Coronavirus Infections (epidemiology)</term>
<term>Coronavirus Infections (prevention & control)</term>
<term>Coronavirus Infections (transmission)</term>
<term>Data Aggregation (MeSH)</term>
<term>Data Analysis (MeSH)</term>
<term>Europe (MeSH)</term>
<term>Female (MeSH)</term>
<term>Fitness Trackers (MeSH)</term>
<term>France (MeSH)</term>
<term>Humans (MeSH)</term>
<term>Locomotion (MeSH)</term>
<term>Male (MeSH)</term>
<term>Middle Aged (MeSH)</term>
<term>Pandemics (prevention & control)</term>
<term>Pneumonia, Viral (epidemiology)</term>
<term>Pneumonia, Viral (prevention & control)</term>
<term>Pneumonia, Viral (transmission)</term>
<term>Social Isolation (MeSH)</term>
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</keywords>
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<term>Adulte d'âge moyen (MeSH)</term>
<term>Agrégation de données (MeSH)</term>
<term>Analyse de données (MeSH)</term>
<term>Betacoronavirus (MeSH)</term>
<term>Espagne (MeSH)</term>
<term>Europe (MeSH)</term>
<term>Femelle (MeSH)</term>
<term>France (MeSH)</term>
<term>Humains (MeSH)</term>
<term>Infections à coronavirus (prévention et contrôle)</term>
<term>Infections à coronavirus (transmission)</term>
<term>Infections à coronavirus (épidémiologie)</term>
<term>Isolement social (MeSH)</term>
<term>Locomotion (MeSH)</term>
<term>Moniteurs de condition physique (MeSH)</term>
<term>Mâle (MeSH)</term>
<term>Pandémies (prévention et contrôle)</term>
<term>Pneumopathie virale (prévention et contrôle)</term>
<term>Pneumopathie virale (transmission)</term>
<term>Pneumopathie virale (épidémiologie)</term>
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<term>France</term>
<term>Spain</term>
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<term>Pneumonia, Viral</term>
</keywords>
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<term>Pandemics</term>
<term>Pneumonia, Viral</term>
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<term>Pandémies</term>
<term>Pneumopathie virale</term>
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<keywords scheme="MESH" qualifier="transmission" xml:lang="en"><term>Coronavirus Infections</term>
<term>Pneumonia, Viral</term>
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<keywords scheme="MESH" qualifier="épidémiologie" xml:lang="fr"><term>Infections à coronavirus</term>
<term>Pneumopathie virale</term>
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<term>Betacoronavirus</term>
<term>Data Aggregation</term>
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<term>Humans</term>
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<term>Analyse de données</term>
<term>Betacoronavirus</term>
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<term>Europe</term>
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<term>Humains</term>
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<front><div type="abstract" xml:lang="en"><p><b>BACKGROUND</b>
</p>
<p>In the context of home confinement during the coronavirus disease (COVID-19) pandemic, objective, real-time data are needed to assess populations' adherence to home confinement to adapt policies and control measures accordingly.</p>
</div>
<div type="abstract" xml:lang="en"><p><b>OBJECTIVE</b>
</p>
<p>The aim of this study was to determine whether wearable activity trackers could provide information regarding users' adherence to home confinement policies because of their capacity for seamless and continuous monitoring of individuals' natural activity patterns regardless of their location.</p>
</div>
<div type="abstract" xml:lang="en"><p><b>METHODS</b>
</p>
<p>We analyzed big data from individuals using activity trackers (Withings) that count the wearer's average daily number of steps in a number of representative nations that adopted different modalities of restriction of citizens' activities.</p>
</div>
<div type="abstract" xml:lang="en"><p><b>RESULTS</b>
</p>
<p>Data on the number of steps per day from over 740,000 individuals around the world were analyzed. We demonstrate the physical activity patterns in several representative countries with total, partial, or no home confinement. The decrease in steps per day in regions with strict total home confinement ranged from 25% to 54%. Partial lockdown (characterized by social distancing measures such as school closures, bar and restaurant closures, and cancellation of public meetings but without strict home confinement) does not appear to have a significant impact on people's activity compared to the pre-pandemic period. The absolute level of physical activity under total home confinement in European countries is around twofold that in China. In some countries, such as France and Spain, physical activity started to gradually decrease even before official commitment to lockdown as a result of initial less stringent restriction orders or self-quarantine. However, physical activity began to increase again in the last 2 weeks, suggesting a decrease in compliance with confinement orders.</p>
</div>
<div type="abstract" xml:lang="en"><p><b>CONCLUSIONS</b>
</p>
<p>Aggregate analysis of activity tracker data with the potential for daily updates can provide information regarding adherence to home confinement policies.</p>
</div>
</front>
</TEI>
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<Abstract><AbstractText Label="BACKGROUND">In the context of home confinement during the coronavirus disease (COVID-19) pandemic, objective, real-time data are needed to assess populations' adherence to home confinement to adapt policies and control measures accordingly.</AbstractText>
<AbstractText Label="OBJECTIVE">The aim of this study was to determine whether wearable activity trackers could provide information regarding users' adherence to home confinement policies because of their capacity for seamless and continuous monitoring of individuals' natural activity patterns regardless of their location.</AbstractText>
<AbstractText Label="METHODS">We analyzed big data from individuals using activity trackers (Withings) that count the wearer's average daily number of steps in a number of representative nations that adopted different modalities of restriction of citizens' activities.</AbstractText>
<AbstractText Label="RESULTS">Data on the number of steps per day from over 740,000 individuals around the world were analyzed. We demonstrate the physical activity patterns in several representative countries with total, partial, or no home confinement. The decrease in steps per day in regions with strict total home confinement ranged from 25% to 54%. Partial lockdown (characterized by social distancing measures such as school closures, bar and restaurant closures, and cancellation of public meetings but without strict home confinement) does not appear to have a significant impact on people's activity compared to the pre-pandemic period. The absolute level of physical activity under total home confinement in European countries is around twofold that in China. In some countries, such as France and Spain, physical activity started to gradually decrease even before official commitment to lockdown as a result of initial less stringent restriction orders or self-quarantine. However, physical activity began to increase again in the last 2 weeks, suggesting a decrease in compliance with confinement orders.</AbstractText>
<AbstractText Label="CONCLUSIONS">Aggregate analysis of activity tracker data with the potential for daily updates can provide information regarding adherence to home confinement policies.</AbstractText>
<CopyrightInformation>©Jean Louis Pépin, Rosa Maria Bruno, Rui-Yi Yang, Vincent Vercamer, Paul Jouhaud, Pierre Escourrou, Pierre Boutouyrie. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 19.06.2020.</CopyrightInformation>
</Abstract>
<AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Pépin</LastName>
<ForeName>Jean Louis</ForeName>
<Initials>JL</Initials>
<Identifier Source="ORCID">0000-0003-3832-2358</Identifier>
<AffiliationInfo><Affiliation>HP2 (Hypoxia and Physio-Pathologies) Laboratory, Inserm (French National Institute of Health and Medical Research) U1042, University Grenoble Alpes, Grenoble, France.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>EFCR (Cardiovascular and Respiratory Function) Laboratory, Grenoble Alpes University Hospital, Grenoble, France.</Affiliation>
</AffiliationInfo>
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<Author ValidYN="Y"><LastName>Bruno</LastName>
<ForeName>Rosa Maria</ForeName>
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</AffiliationInfo>
<AffiliationInfo><Affiliation>Université de Paris, Paris, France.</Affiliation>
</AffiliationInfo>
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</AffiliationInfo>
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</AffiliationInfo>
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<Author ValidYN="Y"><LastName>Jouhaud</LastName>
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<AffiliationInfo><Affiliation>Hôpital Béclère, Assistance Publique Hôpitaux de Paris, Paris, France.</Affiliation>
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<AffiliationInfo><Affiliation>Université Paris Saclay, Paris, France.</Affiliation>
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<AffiliationInfo><Affiliation>Inserm (French National Institute of Health and Medical Research) U970, Hôpital Européen Georges Pompidou, Assistance Publique Hôpitaux de Paris, Paris, France.</Affiliation>
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<AffiliationInfo><Affiliation>Université de Paris, Paris, France.</Affiliation>
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<ArticleIdList><ArticleId IdType="pubmed">32501803</ArticleId>
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<ArticleId IdType="doi">10.2196/19787</ArticleId>
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