CovidPublicV1, Main, Exploration, bibRecord, 000021

Wearable Activity Trackers for Monitoring Adherence to Home Confinement During the COVID-19 Pandemic Worldwide: Data Aggregation and Analysis.

Identifieur interne : 000021 ( Main/Exploration ); précédent : 000020; suivant : 000022

Wearable 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.

RBID : pubmed:32501803

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 :
- geographic : France, Espagne.

English descriptors

KwdEn :
- Adult (MeSH), Betacoronavirus (MeSH), COVID-19 (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), SARS-CoV-2 (MeSH), 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, COVID-19, Data Aggregation, Data Analysis, Female, Fitness Trackers, Humans, Locomotion, Male, Middle Aged, SARS-CoV-2, 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

Affiliations:

Links toward previous steps (curation, corpus...)

to stream Main, to step Corpus: 000205
to stream Main, to step Curation: 000205

Le document en format XML

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<term>Coronavirus Infections (prevention & control)</term>
<term>Coronavirus Infections (transmission)</term>
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<term>Pneumonia, Viral (prevention & control)</term>
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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>
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<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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<keywords scheme="MESH" qualifier="epidemiology" xml:lang="en"><term>Coronavirus Infections</term>
<term>Pneumonia, Viral</term>
</keywords>
<keywords scheme="MESH" qualifier="prevention & control" xml:lang="en"><term>Coronavirus Infections</term>
<term>Pandemics</term>
<term>Pneumonia, Viral</term>
</keywords>
<keywords scheme="MESH" qualifier="prévention et contrôle" xml:lang="fr"><term>Infections à coronavirus</term>
<term>Pandémies</term>
<term>Pneumopathie virale</term>
</keywords>
<keywords scheme="MESH" qualifier="transmission" xml:lang="en"><term>Coronavirus Infections</term>
<term>Pneumonia, Viral</term>
</keywords>
<keywords scheme="MESH" qualifier="épidémiologie" xml:lang="fr"><term>Infections à coronavirus</term>
<term>Pneumopathie virale</term>
</keywords>
<keywords scheme="MESH" xml:lang="en"><term>Adult</term>
<term>Betacoronavirus</term>
<term>COVID-19</term>
<term>Data Aggregation</term>
<term>Data Analysis</term>
<term>Female</term>
<term>Fitness Trackers</term>
<term>Humans</term>
<term>Locomotion</term>
<term>Male</term>
<term>Middle Aged</term>
<term>SARS-CoV-2</term>
<term>Social Isolation</term>
</keywords>
<keywords scheme="MESH" xml:lang="fr"><term>Adulte</term>
<term>Adulte d'âge moyen</term>
<term>Agrégation de données</term>
<term>Analyse de données</term>
<term>Betacoronavirus</term>
<term>Espagne</term>
<term>Europe</term>
<term>Femelle</term>
<term>France</term>
<term>Humains</term>
<term>Isolement social</term>
<term>Locomotion</term>
<term>Moniteurs de condition physique</term>
<term>Mâle</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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<Day>02</Day>
</DateCompleted>
<DateRevised><Year>2020</Year>
<Month>12</Month>
<Day>10</Day>
</DateRevised>
<Article PubModel="Electronic"><Journal><ISSN IssnType="Electronic">1438-8871</ISSN>
<JournalIssue CitedMedium="Internet"><Volume>22</Volume>
<Issue>6</Issue>
<PubDate><Year>2020</Year>
<Month>06</Month>
<Day>19</Day>
</PubDate>
</JournalIssue>
<Title>Journal of medical Internet research</Title>
<ISOAbbreviation>J Med Internet Res</ISOAbbreviation>
</Journal>
<ArticleTitle>Wearable Activity Trackers for Monitoring Adherence to Home Confinement During the COVID-19 Pandemic Worldwide: Data Aggregation and Analysis.</ArticleTitle>
<Pagination><MedlinePgn>e19787</MedlinePgn>
</Pagination>
<ELocationID EIdType="doi" ValidYN="Y">10.2196/19787</ELocationID>
<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>
</Author>
<Author ValidYN="Y"><LastName>Bruno</LastName>
<ForeName>Rosa Maria</ForeName>
<Initials>RM</Initials>
<Identifier Source="ORCID">0000-0002-6107-3356</Identifier>
<AffiliationInfo><Affiliation>Inserm (French National Institute of Health and Medical Research) U970, Hôpital Européen Georges Pompidou, Assistance Publique Hôpitaux de Paris, Paris, France.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>Université de Paris, Paris, France.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Yang</LastName>
<ForeName>Rui-Yi</ForeName>
<Initials>RY</Initials>
<Identifier Source="ORCID">0000-0001-5188-9987</Identifier>
<AffiliationInfo><Affiliation>Withings, Issy les Moulineaux, France.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Vercamer</LastName>
<ForeName>Vincent</ForeName>
<Initials>V</Initials>
<Identifier Source="ORCID">0000-0001-8143-5900</Identifier>
<AffiliationInfo><Affiliation>Withings, Issy les Moulineaux, France.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Jouhaud</LastName>
<ForeName>Paul</ForeName>
<Initials>P</Initials>
<Identifier Source="ORCID">0000-0002-4877-0755</Identifier>
<AffiliationInfo><Affiliation>Withings, Issy les Moulineaux, France.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Escourrou</LastName>
<ForeName>Pierre</ForeName>
<Initials>P</Initials>
<Identifier Source="ORCID">0000-0003-0068-0563</Identifier>
<AffiliationInfo><Affiliation>Hôpital Béclère, Assistance Publique Hôpitaux de Paris, Paris, France.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>Université Paris Saclay, Paris, France.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Boutouyrie</LastName>
<ForeName>Pierre</ForeName>
<Initials>P</Initials>
<Identifier Source="ORCID">0000-0002-4375-3569</Identifier>
<AffiliationInfo><Affiliation>Inserm (French National Institute of Health and Medical Research) U970, Hôpital Européen Georges Pompidou, Assistance Publique Hôpitaux de Paris, Paris, France.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>Université de Paris, Paris, France.</Affiliation>
</AffiliationInfo>
</Author>
</AuthorList>
<Language>eng</Language>
<PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType>
</PublicationTypeList>
<ArticleDate DateType="Electronic"><Year>2020</Year>
<Month>06</Month>
<Day>19</Day>
</ArticleDate>
</Article>
<MedlineJournalInfo><Country>Canada</Country>
<MedlineTA>J Med Internet Res</MedlineTA>
<NlmUniqueID>100959882</NlmUniqueID>
<ISSNLinking>1438-8871</ISSNLinking>
</MedlineJournalInfo>
<SupplMeshList><SupplMeshName Type="Disease" UI="C000657245">COVID-19</SupplMeshName>
<SupplMeshName Type="Organism" UI="C000656484">severe acute respiratory syndrome coronavirus 2</SupplMeshName>
</SupplMeshList>
<CitationSubset>IM</CitationSubset>
<MeshHeadingList><MeshHeading><DescriptorName UI="D000328" MajorTopicYN="N">Adult</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D000073640" MajorTopicYN="N">Betacoronavirus</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D000086382" MajorTopicYN="N">COVID-19</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D018352" MajorTopicYN="N">Coronavirus Infections</DescriptorName>
<QualifierName UI="Q000453" MajorTopicYN="Y">epidemiology</QualifierName>
<QualifierName UI="Q000517" MajorTopicYN="Y">prevention & control</QualifierName>
<QualifierName UI="Q000635" MajorTopicYN="N">transmission</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D000078303" MajorTopicYN="Y">Data Aggregation</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D000078332" MajorTopicYN="Y">Data Analysis</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D005060" MajorTopicYN="N" Type="Geographic">Europe</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D005260" MajorTopicYN="N">Female</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D000072936" MajorTopicYN="Y">Fitness Trackers</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D005602" MajorTopicYN="N" Type="Geographic">France</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D008124" MajorTopicYN="Y">Locomotion</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D008297" MajorTopicYN="N">Male</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D008875" MajorTopicYN="N">Middle Aged</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D058873" MajorTopicYN="N">Pandemics</DescriptorName>
<QualifierName UI="Q000517" MajorTopicYN="Y">prevention & control</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D011024" MajorTopicYN="N">Pneumonia, Viral</DescriptorName>
<QualifierName UI="Q000453" MajorTopicYN="Y">epidemiology</QualifierName>
<QualifierName UI="Q000517" MajorTopicYN="Y">prevention & control</QualifierName>
<QualifierName UI="Q000635" MajorTopicYN="N">transmission</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D000086402" MajorTopicYN="N">SARS-CoV-2</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D012934" MajorTopicYN="Y">Social Isolation</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D013030" MajorTopicYN="N" Type="Geographic">Spain</DescriptorName>
</MeshHeading>
</MeshHeadingList>
<KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="Y">COVID-19</Keyword>
<Keyword MajorTopicYN="Y">home confinement</Keyword>
<Keyword MajorTopicYN="Y">lockdown</Keyword>
<Keyword MajorTopicYN="Y">monitoring</Keyword>
<Keyword MajorTopicYN="Y">pandemic</Keyword>
<Keyword MajorTopicYN="Y">tracking</Keyword>
<Keyword MajorTopicYN="Y">wearable activity trackers</Keyword>
<Keyword MajorTopicYN="Y">wearables</Keyword>
</KeywordList>
</MedlineCitation>
<PubmedData><History><PubMedPubDate PubStatus="received"><Year>2020</Year>
<Month>05</Month>
<Day>01</Day>
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<PubMedPubDate PubStatus="accepted"><Year>2020</Year>
<Month>06</Month>
<Day>04</Day>
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</History>
<PublicationStatus>epublish</PublicationStatus>
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<affiliations><list><country><li>France</li>
</country>
<region><li>Auvergne-Rhône-Alpes</li>
<li>Rhône-Alpes</li>
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<tree><country name="France"><region name="Auvergne-Rhône-Alpes"><name sortKey="Pepin, Jean Louis" sort="Pepin, Jean Louis" uniqKey="Pepin J" first="Jean Louis" last="Pépin">Jean Louis Pépin</name>
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<name sortKey="Boutouyrie, Pierre" sort="Boutouyrie, Pierre" uniqKey="Boutouyrie P" first="Pierre" last="Boutouyrie">Pierre Boutouyrie</name>
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<name sortKey="Bruno, Rosa Maria" sort="Bruno, Rosa Maria" uniqKey="Bruno R" first="Rosa Maria" last="Bruno">Rosa Maria Bruno</name>
<name sortKey="Bruno, Rosa Maria" sort="Bruno, Rosa Maria" uniqKey="Bruno R" first="Rosa Maria" last="Bruno">Rosa Maria Bruno</name>
<name sortKey="Escourrou, Pierre" sort="Escourrou, Pierre" uniqKey="Escourrou P" first="Pierre" last="Escourrou">Pierre Escourrou</name>
<name sortKey="Escourrou, Pierre" sort="Escourrou, Pierre" uniqKey="Escourrou P" first="Pierre" last="Escourrou">Pierre Escourrou</name>
<name sortKey="Jouhaud, Paul" sort="Jouhaud, Paul" uniqKey="Jouhaud P" first="Paul" last="Jouhaud">Paul Jouhaud</name>
<name sortKey="Pepin, Jean Louis" sort="Pepin, Jean Louis" uniqKey="Pepin J" first="Jean Louis" last="Pépin">Jean Louis Pépin</name>
<name sortKey="Vercamer, Vincent" sort="Vercamer, Vincent" uniqKey="Vercamer V" first="Vincent" last="Vercamer">Vincent Vercamer</name>
<name sortKey="Yang, Rui Yi" sort="Yang, Rui Yi" uniqKey="Yang R" first="Rui-Yi" last="Yang">Rui-Yi Yang</name>
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Wearable Activity Trackers for Monitoring Adherence to Home Confinement During the COVID-19 Pandemic Worldwide: Data Aggregation and Analysis.

Wearable Activity Trackers for Monitoring Adherence to Home Confinement During the COVID-19 Pandemic Worldwide: Data Aggregation and Analysis.

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