LockdownV1, Main, Exploration, bibRecord, 002539

Bidirectional Influence of the COVID-19 Pandemic Lockdowns on Health Behaviors and Quality of Life among Chinese Adults.

Identifieur interne : 002539 ( Main/Exploration ); précédent : 002538; suivant : 002540

Bidirectional Influence of the COVID-19 Pandemic Lockdowns on Health Behaviors and Quality of Life among Chinese Adults.

Auteurs : Xiuqiang Wang [République populaire de Chine] ; Si Man Lei [République populaire de Chine] ; Shenglong Le [République populaire de Chine, Finlande] ; Yanxiang Yang [République populaire de Chine] ; Boyi Zhang [République populaire de Chine] ; Wu Yao [République populaire de Chine] ; Zan Gao [États-Unis] ; Sulin Cheng [République populaire de Chine, Finlande]

Source :

International journal of environmental research and public health [ 1660-4601 ] ; 2020.

RBID : pubmed:32748825

Descripteurs français

English descriptors

KwdEn :
- Adolescent (MeSH), Adult (MeSH), Asian Continental Ancestry Group (psychology), Asian Continental Ancestry Group (statistics & numerical data), Betacoronavirus (MeSH), COVID-19 (MeSH), Coronavirus (MeSH), Coronavirus Infections (psychology), Diet (statistics & numerical data), Exercise (MeSH), Female (MeSH), Health Behavior (MeSH), Humans (MeSH), Male (MeSH), Pandemics (MeSH), Pneumonia, Viral (psychology), Quality of Life (MeSH), Quarantine (psychology), Quarantine (statistics & numerical data), SARS-CoV-2 (MeSH), Sedentary Behavior (MeSH), Sleep (MeSH), Surveys and Questionnaires (MeSH), Young Adult (MeSH).
MESH :
- psychology : Asian Continental Ancestry Group, Coronavirus Infections, Pneumonia, Viral, Quarantine.
- statistics & numerical data : Asian Continental Ancestry Group, Diet, Quarantine.
- Adolescent, Adult, Betacoronavirus, COVID-19, Coronavirus, Exercise, Female, Health Behavior, Humans, Male, Pandemics, Quality of Life, SARS-CoV-2, Sedentary Behavior, Sleep, Surveys and Questionnaires, Young Adult.

Abstract

BACKGROUND

The coronavirus disease 2019 (COVID-19) pandemic has created challenges that have caused profound changes in health behaviors. This study aimed to explore how COVID-19 is affecting the health-related quality of life (QoL) among Chinese adults.

METHODS

The data of health-related behaviors and QoL were collected via online surveys from 2289 adults (mean age = 27.8 ± 12 years) who had been isolated at home for an average of 77 days.

RESULTS

More than 50% of the respondents reported that their time engaged in daily physical activity (PA) decreased, while sedentary behavior (SB) time increased compared with that before the lockdown. Only 20% of the respondents reported engaging in moderate-to-vigorous PA, 23% of adults reported changed their diets to be healthier, and 30% reported consuming more vegetables, fruits, and milk products than before home-isolation. During home-isolation, 75.2% of the adults rated their sleep quality as very good, and 65% reported that they were satisfied with their QoL. Sleep quality mediated the relationship between PA and QoL.

CONCLUSION

The two-to-three-month home-isolation has had mixed effects on adult health behaviors in China. The participants were found to have focused more on their eating quality and patterns, which had a positive influence on their QoL. However, people should be encouraged to exercise at home with limited space to maintain a generally healthy lifestyle during a prolonged quarantine.

DOI: 10.3390/ijerph17155575
PubMed: 32748825
PubMed Central: PMC7432516

Affiliations:

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

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Le document en format XML

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<term>Adult (MeSH)</term>
<term>Asian Continental Ancestry Group (psychology)</term>
<term>Asian Continental Ancestry Group (statistics & numerical data)</term>
<term>Betacoronavirus (MeSH)</term>
<term>COVID-19 (MeSH)</term>
<term>Coronavirus (MeSH)</term>
<term>Coronavirus Infections (psychology)</term>
<term>Diet (statistics & numerical data)</term>
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<term>Health Behavior (MeSH)</term>
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<term>Pandemics (MeSH)</term>
<term>Pneumonia, Viral (psychology)</term>
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<term>Quarantine (psychology)</term>
<term>Quarantine (statistics & numerical data)</term>
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<term>Sedentary Behavior (MeSH)</term>
<term>Sleep (MeSH)</term>
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<term>Adulte (MeSH)</term>
<term>Betacoronavirus (MeSH)</term>
<term>Comportement en matière de santé (MeSH)</term>
<term>Coronavirus (MeSH)</term>
<term>Enquêtes et questionnaires (MeSH)</term>
<term>Exercice physique (MeSH)</term>
<term>Femelle (MeSH)</term>
<term>Humains (MeSH)</term>
<term>Infections à coronavirus (psychologie)</term>
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<term>Mode de vie sédentaire (MeSH)</term>
<term>Mâle (MeSH)</term>
<term>Pandémies (MeSH)</term>
<term>Pneumopathie virale (psychologie)</term>
<term>Population d'origine asiatique (psychologie)</term>
<term>Population d'origine asiatique (statistiques et données numériques)</term>
<term>Qualité de vie (MeSH)</term>
<term>Quarantaine (psychologie)</term>
<term>Quarantaine (statistiques et données numériques)</term>
<term>Régime alimentaire (statistiques et données numériques)</term>
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<term>Pneumopathie virale</term>
<term>Population d'origine asiatique</term>
<term>Quarantaine</term>
</keywords>
<keywords scheme="MESH" qualifier="psychology" xml:lang="en"><term>Asian Continental Ancestry Group</term>
<term>Coronavirus Infections</term>
<term>Pneumonia, Viral</term>
<term>Quarantine</term>
</keywords>
<keywords scheme="MESH" qualifier="statistics & numerical data" xml:lang="en"><term>Asian Continental Ancestry Group</term>
<term>Diet</term>
<term>Quarantine</term>
</keywords>
<keywords scheme="MESH" qualifier="statistiques et données numériques" xml:lang="fr"><term>Population d'origine asiatique</term>
<term>Quarantaine</term>
<term>Régime alimentaire</term>
</keywords>
<keywords scheme="MESH" xml:lang="en"><term>Adolescent</term>
<term>Adult</term>
<term>Betacoronavirus</term>
<term>COVID-19</term>
<term>Coronavirus</term>
<term>Exercise</term>
<term>Female</term>
<term>Health Behavior</term>
<term>Humans</term>
<term>Male</term>
<term>Pandemics</term>
<term>Quality of Life</term>
<term>SARS-CoV-2</term>
<term>Sedentary Behavior</term>
<term>Sleep</term>
<term>Surveys and Questionnaires</term>
<term>Young Adult</term>
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<term>Adulte</term>
<term>Betacoronavirus</term>
<term>Comportement en matière de santé</term>
<term>Coronavirus</term>
<term>Enquêtes et questionnaires</term>
<term>Exercice physique</term>
<term>Femelle</term>
<term>Humains</term>
<term>Jeune adulte</term>
<term>Mode de vie sédentaire</term>
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<front><div type="abstract" xml:lang="en"><p><b>BACKGROUND</b>
</p>
<p>The coronavirus disease 2019 (COVID-19) pandemic has created challenges that have caused profound changes in health behaviors. This study aimed to explore how COVID-19 is affecting the health-related quality of life (QoL) among Chinese adults.</p>
</div>
<div type="abstract" xml:lang="en"><p><b>METHODS</b>
</p>
<p>The data of health-related behaviors and QoL were collected via online surveys from 2289 adults (mean age = 27.8 ± 12 years) who had been isolated at home for an average of 77 days.</p>
</div>
<div type="abstract" xml:lang="en"><p><b>RESULTS</b>
</p>
<p>More than 50% of the respondents reported that their time engaged in daily physical activity (PA) decreased, while sedentary behavior (SB) time increased compared with that before the lockdown. Only 20% of the respondents reported engaging in moderate-to-vigorous PA, 23% of adults reported changed their diets to be healthier, and 30% reported consuming more vegetables, fruits, and milk products than before home-isolation. During home-isolation, 75.2% of the adults rated their sleep quality as very good, and 65% reported that they were satisfied with their QoL. Sleep quality mediated the relationship between PA and QoL.</p>
</div>
<div type="abstract" xml:lang="en"><p><b>CONCLUSION</b>
</p>
<p>The two-to-three-month home-isolation has had mixed effects on adult health behaviors in China. The participants were found to have focused more on their eating quality and patterns, which had a positive influence on their QoL. However, people should be encouraged to exercise at home with limited space to maintain a generally healthy lifestyle during a prolonged quarantine.</p>
</div>
</front>
</TEI>
<pubmed><MedlineCitation Status="MEDLINE" IndexingMethod="Curated" Owner="NLM"><PMID Version="1">32748825</PMID>
<DateCompleted><Year>2020</Year>
<Month>08</Month>
<Day>11</Day>
</DateCompleted>
<DateRevised><Year>2020</Year>
<Month>12</Month>
<Day>18</Day>
</DateRevised>
<Article PubModel="Electronic"><Journal><ISSN IssnType="Electronic">1660-4601</ISSN>
<JournalIssue CitedMedium="Internet"><Volume>17</Volume>
<Issue>15</Issue>
<PubDate><Year>2020</Year>
<Month>08</Month>
<Day>02</Day>
</PubDate>
</JournalIssue>
<Title>International journal of environmental research and public health</Title>
<ISOAbbreviation>Int J Environ Res Public Health</ISOAbbreviation>
</Journal>
<ArticleTitle>Bidirectional Influence of the COVID-19 Pandemic Lockdowns on Health Behaviors and Quality of Life among Chinese Adults.</ArticleTitle>
<ELocationID EIdType="pii" ValidYN="Y">E5575</ELocationID>
<ELocationID EIdType="doi" ValidYN="Y">10.3390/ijerph17155575</ELocationID>
<Abstract><AbstractText Label="BACKGROUND">The coronavirus disease 2019 (COVID-19) pandemic has created challenges that have caused profound changes in health behaviors. This study aimed to explore how COVID-19 is affecting the health-related quality of life (QoL) among Chinese adults.</AbstractText>
<AbstractText Label="METHODS">The data of health-related behaviors and QoL were collected via online surveys from 2289 adults (mean age = 27.8 ± 12 years) who had been isolated at home for an average of 77 days.</AbstractText>
<AbstractText Label="RESULTS">More than 50% of the respondents reported that their time engaged in daily physical activity (PA) decreased, while sedentary behavior (SB) time increased compared with that before the lockdown. Only 20% of the respondents reported engaging in moderate-to-vigorous PA, 23% of adults reported changed their diets to be healthier, and 30% reported consuming more vegetables, fruits, and milk products than before home-isolation. During home-isolation, 75.2% of the adults rated their sleep quality as very good, and 65% reported that they were satisfied with their QoL. Sleep quality mediated the relationship between PA and QoL.</AbstractText>
<AbstractText Label="CONCLUSION">The two-to-three-month home-isolation has had mixed effects on adult health behaviors in China. The participants were found to have focused more on their eating quality and patterns, which had a positive influence on their QoL. However, people should be encouraged to exercise at home with limited space to maintain a generally healthy lifestyle during a prolonged quarantine.</AbstractText>
</Abstract>
<AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Wang</LastName>
<ForeName>Xiuqiang</ForeName>
<Initials>X</Initials>
<Identifier Source="ORCID">0000-0003-1224-9439</Identifier>
<AffiliationInfo><Affiliation>Exercise Translational Medicine Center, Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, Shanghai 200240, China.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>Key Laboratory of Systems Biomedicine (Ministry of Education), Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, Shanghai 200240, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Lei</LastName>
<ForeName>Si Man</ForeName>
<Initials>SM</Initials>
<AffiliationInfo><Affiliation>Exercise Translational Medicine Center, Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, Shanghai 200240, China.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>Faculty of Education, University of Macao, Macao, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Le</LastName>
<ForeName>Shenglong</ForeName>
<Initials>S</Initials>
<AffiliationInfo><Affiliation>Exercise Translational Medicine Center, Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, Shanghai 200240, China.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>Faculty of Sport and Health Sciences, University of Jyväskylä, 40014 Jyväskylä, Finland.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Yang</LastName>
<ForeName>Yanxiang</ForeName>
<Initials>Y</Initials>
<AffiliationInfo><Affiliation>Exercise, Health and Technology Center, Department of Physical Education, Shanghai Jiao Tong University, Shanghai 200240, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Zhang</LastName>
<ForeName>Boyi</ForeName>
<Initials>B</Initials>
<AffiliationInfo><Affiliation>Exercise, Health and Technology Center, Department of Physical Education, Shanghai Jiao Tong University, Shanghai 200240, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Yao</LastName>
<ForeName>Wu</ForeName>
<Initials>W</Initials>
<AffiliationInfo><Affiliation>Exercise, Health and Technology Center, Department of Physical Education, Shanghai Jiao Tong University, Shanghai 200240, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Gao</LastName>
<ForeName>Zan</ForeName>
<Initials>Z</Initials>
<Identifier Source="ORCID">0000-0002-6037-0439</Identifier>
<AffiliationInfo><Affiliation>School of Kinesiology, University of Minnesota, Minneapolis, MN 55455, USA.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Cheng</LastName>
<ForeName>Sulin</ForeName>
<Initials>S</Initials>
<AffiliationInfo><Affiliation>Exercise Translational Medicine Center, Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, Shanghai 200240, China.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>Key Laboratory of Systems Biomedicine (Ministry of Education), Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, Shanghai 200240, China.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>Faculty of Sport and Health Sciences, University of Jyväskylä, 40014 Jyväskylä, Finland.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>Exercise, Health and Technology Center, Department of Physical Education, Shanghai Jiao Tong University, Shanghai 200240, China.</Affiliation>
</AffiliationInfo>
</Author>
</AuthorList>
<Language>eng</Language>
<GrantList CompleteYN="Y"><Grant><GrantID>AF4150043</GrantID>
<Agency>Shanghai Jiao Tong University</Agency>
<Country>International</Country>
</Grant>
<Grant><GrantID>CP2014013</GrantID>
<Agency>Shanghai Jiao Tong University</Agency>
<Country>International</Country>
</Grant>
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<PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType>
</PublicationTypeList>
<ArticleDate DateType="Electronic"><Year>2020</Year>
<Month>08</Month>
<Day>02</Day>
</ArticleDate>
</Article>
<MedlineJournalInfo><Country>Switzerland</Country>
<MedlineTA>Int J Environ Res Public Health</MedlineTA>
<NlmUniqueID>101238455</NlmUniqueID>
<ISSNLinking>1660-4601</ISSNLinking>
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<CitationSubset>IM</CitationSubset>
<MeshHeadingList><MeshHeading><DescriptorName UI="D000293" MajorTopicYN="N">Adolescent</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D000328" MajorTopicYN="N">Adult</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D044466" MajorTopicYN="N">Asian Continental Ancestry Group</DescriptorName>
<QualifierName UI="Q000523" MajorTopicYN="N">psychology</QualifierName>
<QualifierName UI="Q000706" MajorTopicYN="N">statistics & numerical data</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D000073640" MajorTopicYN="N">Betacoronavirus</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D000086382" MajorTopicYN="N">COVID-19</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D017934" MajorTopicYN="N">Coronavirus</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D018352" MajorTopicYN="N">Coronavirus Infections</DescriptorName>
<QualifierName UI="Q000523" MajorTopicYN="Y">psychology</QualifierName>
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<MeshHeading><DescriptorName UI="D004032" MajorTopicYN="N">Diet</DescriptorName>
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<MeshHeading><DescriptorName UI="D015444" MajorTopicYN="Y">Exercise</DescriptorName>
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</MeshHeading>
<MeshHeading><DescriptorName UI="D015438" MajorTopicYN="N">Health Behavior</DescriptorName>
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<MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName>
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<MeshHeading><DescriptorName UI="D008297" MajorTopicYN="N">Male</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D058873" MajorTopicYN="N">Pandemics</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D011024" MajorTopicYN="N">Pneumonia, Viral</DescriptorName>
<QualifierName UI="Q000523" MajorTopicYN="Y">psychology</QualifierName>
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<MeshHeading><DescriptorName UI="D011788" MajorTopicYN="N">Quality of Life</DescriptorName>
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<MeshHeading><DescriptorName UI="D011790" MajorTopicYN="N">Quarantine</DescriptorName>
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<MeshHeading><DescriptorName UI="D012890" MajorTopicYN="Y">Sleep</DescriptorName>
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<MeshHeading><DescriptorName UI="D055815" MajorTopicYN="N">Young Adult</DescriptorName>
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<KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="Y">diet</Keyword>
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<Month>07</Month>
<Day>15</Day>
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<Month>07</Month>
<Day>29</Day>
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Bidirectional Influence of the COVID-19 Pandemic Lockdowns on Health Behaviors and Quality of Life among Chinese Adults.

Bidirectional Influence of the COVID-19 Pandemic Lockdowns on Health Behaviors and Quality of Life among Chinese Adults.

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