Wearable Activity Trackers for Monitoring Adherence to Home Confinement During the COVID-19 Pandemic Worldwide: Data Aggregation and Analysis.
Identifieur interne : 000205 ( Main/Corpus ); précédent : 000204; suivant : 000206Wearable Activity Trackers for Monitoring Adherence to Home Confinement During the COVID-19 Pandemic Worldwide: Data Aggregation and Analysis.
Auteurs : Jean Louis Pépin ; Rosa Maria Bruno ; Rui-Yi Yang ; Vincent Vercamer ; Paul Jouhaud ; Pierre Escourrou ; Pierre BoutouyrieSource :
- Journal of medical Internet research [ 1438-8871 ] ; 2020.
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
Links to Exploration step
pubmed:32501803Le document en format XML
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Research) U970, Hôpital Européen Georges Pompidou, Assistance Publique Hôpitaux de Paris, Paris, France.</nlm:affiliation></affiliation><affiliation><nlm:affiliation>Université de Paris, Paris, France.</nlm:affiliation></affiliation></author><author><name sortKey="Yang, Rui Yi" sort="Yang, Rui Yi" uniqKey="Yang R" first="Rui-Yi" last="Yang">Rui-Yi Yang</name><affiliation><nlm:affiliation>Withings, Issy les Moulineaux, France.</nlm:affiliation></affiliation></author><author><name sortKey="Vercamer, Vincent" sort="Vercamer, Vincent" uniqKey="Vercamer V" first="Vincent" last="Vercamer">Vincent Vercamer</name><affiliation><nlm:affiliation>Withings, Issy les Moulineaux, France.</nlm:affiliation></affiliation></author><author><name sortKey="Jouhaud, Paul" sort="Jouhaud, Paul" uniqKey="Jouhaud P" first="Paul" last="Jouhaud">Paul Jouhaud</name><affiliation><nlm:affiliation>Withings, Issy les Moulineaux, France.</nlm:affiliation></affiliation></author><author><name sortKey="Escourrou, Pierre" sort="Escourrou, Pierre" uniqKey="Escourrou P" first="Pierre" last="Escourrou">Pierre Escourrou</name><affiliation><nlm:affiliation>Hôpital Béclère, Assistance Publique Hôpitaux de Paris, Paris, France.</nlm:affiliation></affiliation><affiliation><nlm:affiliation>Université Paris Saclay, Paris, France.</nlm:affiliation></affiliation></author><author><name sortKey="Boutouyrie, Pierre" sort="Boutouyrie, Pierre" uniqKey="Boutouyrie P" first="Pierre" last="Boutouyrie">Pierre Boutouyrie</name><affiliation><nlm:affiliation>Inserm (French National Institute of Health and Medical Research) U970, Hôpital Européen Georges Pompidou, Assistance Publique Hôpitaux de Paris, Paris, France.</nlm:affiliation></affiliation><affiliation><nlm:affiliation>Université de Paris, Paris, France.</nlm:affiliation></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2020">2020</date><idno type="RBID">pubmed:32501803</idno><idno type="pmid">32501803</idno><idno 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France.</nlm:affiliation></affiliation></author><author><name sortKey="Bruno, Rosa Maria" sort="Bruno, Rosa Maria" uniqKey="Bruno R" first="Rosa Maria" last="Bruno">Rosa Maria Bruno</name><affiliation><nlm:affiliation>Inserm (French National Institute of Health and Medical Research) U970, Hôpital Européen Georges Pompidou, Assistance Publique Hôpitaux de Paris, Paris, France.</nlm:affiliation></affiliation><affiliation><nlm:affiliation>Université de Paris, Paris, France.</nlm:affiliation></affiliation></author><author><name sortKey="Yang, Rui Yi" sort="Yang, Rui Yi" uniqKey="Yang R" first="Rui-Yi" last="Yang">Rui-Yi Yang</name><affiliation><nlm:affiliation>Withings, Issy les Moulineaux, France.</nlm:affiliation></affiliation></author><author><name sortKey="Vercamer, Vincent" sort="Vercamer, Vincent" uniqKey="Vercamer V" first="Vincent" last="Vercamer">Vincent Vercamer</name><affiliation><nlm:affiliation>Withings, Issy les Moulineaux, France.</nlm:affiliation></affiliation></author><author><name sortKey="Jouhaud, Paul" sort="Jouhaud, Paul" uniqKey="Jouhaud P" first="Paul" last="Jouhaud">Paul Jouhaud</name><affiliation><nlm:affiliation>Withings, Issy les Moulineaux, France.</nlm:affiliation></affiliation></author><author><name sortKey="Escourrou, Pierre" sort="Escourrou, Pierre" uniqKey="Escourrou P" first="Pierre" last="Escourrou">Pierre Escourrou</name><affiliation><nlm:affiliation>Hôpital Béclère, Assistance Publique Hôpitaux de Paris, Paris, France.</nlm:affiliation></affiliation><affiliation><nlm:affiliation>Université Paris Saclay, Paris, France.</nlm:affiliation></affiliation></author><author><name sortKey="Boutouyrie, Pierre" sort="Boutouyrie, Pierre" uniqKey="Boutouyrie P" first="Pierre" last="Boutouyrie">Pierre Boutouyrie</name><affiliation><nlm:affiliation>Inserm (French National Institute of Health and Medical Research) U970, Hôpital Européen Georges Pompidou, Assistance Publique Hôpitaux de Paris, Paris, France.</nlm:affiliation></affiliation><affiliation><nlm:affiliation>Université de Paris, Paris, France.</nlm:affiliation></affiliation></author></analytic><series><title level="j">Journal of medical Internet research</title><idno type="eISSN">1438-8871</idno><imprint><date when="2020" type="published">2020</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Adult (MeSH)</term><term>Betacoronavirus (MeSH)</term><term>COVID-19 (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>SARS-CoV-2 (MeSH)</term><term>Social Isolation (MeSH)</term><term>Spain (MeSH)</term></keywords><keywords scheme="MESH" type="geographic" xml:lang="en"><term>Europe</term><term>France</term><term>Spain</term></keywords><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="transmission" xml:lang="en"><term>Coronavirus Infections</term><term>Pneumonia, Viral</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></textClass></profileDesc></teiHeader><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><pubmed><MedlineCitation Status="MEDLINE" IndexingMethod="Curated" Owner="NLM"><PMID Version="1">32501803</PMID><DateCompleted><Year>2020</Year><Month>07</Month><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 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Dec;74(6):1476-1483</Citation><ArticleIdList><ArticleId IdType="pubmed">31679418</ArticleId></ArticleIdList></Reference><Reference><Citation>Eur J Sport Sci. 2017 Apr;17(3):360-368</Citation><ArticleIdList><ArticleId IdType="pubmed">27912681</ArticleId></ArticleIdList></Reference><Reference><Citation>J Med Internet Res. 2020 Mar 17;22(3):e15790</Citation><ArticleIdList><ArticleId IdType="pubmed">32181749</ArticleId></ArticleIdList></Reference><Reference><Citation>Lancet. 2020 Mar 21;395(10228):945-947</Citation><ArticleIdList><ArticleId IdType="pubmed">32145186</ArticleId></ArticleIdList></Reference></ReferenceList></PubmedData></pubmed></record>Pour manipuler ce document sous Unix (Dilib)
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