AutomedicationFrancoV1, Main, Exploration, bibRecord, 000A19

Associations between active travel and physical multi-morbidity in six low- and middle-income countries among community-dwelling older adults: A cross-sectional study.

Identifieur interne : 000A19 ( Main/Exploration ); précédent : 000A18; suivant : 000A20

Associations between active travel and physical multi-morbidity in six low- and middle-income countries among community-dwelling older adults: A cross-sectional study.

Auteurs : Davy Vancampfort [Belgique] ; Lee Smith [Royaume-Uni] ; Brendon Stubbs [Royaume-Uni] ; Nathalie Swinnen [Belgique] ; Joseph Firth [Australie, Royaume-Uni] ; Felipe B. Schuch [Brésil] ; Ai Koyanagi [Espagne]

Source :

PloS one [ 1932-6203 ] ; 2018.

RBID : pubmed:30161211

Descripteurs français

KwdFr :
- Cyclisme (MeSH), Femelle (MeSH), Humains (MeSH), Maladie chronique (épidémiologie), Marche à pied (MeSH), Multimorbidité (MeSH), Mâle (MeSH), Pays en voie de développement (MeSH), Prévalence (MeSH), Sujet âgé (MeSH), Voyage (MeSH), Études transversales (MeSH).
MESH :
- épidémiologie : Maladie chronique.
- Cyclisme, Femelle, Humains, Marche à pied, Multimorbidité, Mâle, Pays en voie de développement, Prévalence, Sujet âgé, Voyage, Études transversales.

English descriptors

KwdEn :
- Aged (MeSH), Bicycling (MeSH), Chronic Disease (epidemiology), Cross-Sectional Studies (MeSH), Developing Countries (MeSH), Female (MeSH), Humans (MeSH), Male (MeSH), Multimorbidity (MeSH), Prevalence (MeSH), Travel (MeSH), Walking (MeSH).
MESH :
- epidemiology : Chronic Disease.
- Aged, Bicycling, Cross-Sectional Studies, Developing Countries, Female, Humans, Male, Multimorbidity, Prevalence, Travel, Walking.

Abstract

BACKGROUND

There is little evidence on the potential health benefits of active travel in low- and middle-income countries (LMICs). The aim of this study was to assess the association between levels of active travel and physical multi-morbidity (i.e., two or more chronic physical conditions) and individual physical conditions among community-dwelling adults aged 65 or older in six LMICs.

METHODS

Data were analyzed from the World Health Organization's Study on Global Ageing and Adult Health (China, Ghana, India, Mexico, Russia, South Africa). Active travel (minutes / week) was assessed with questions of the Global Physical Activity Questionnaire (GPAQ) and presented in tertiles. Eleven chronic conditions (angina, arthritis, asthma, chronic back pain, chronic lung disease, diabetes, edentulism, hearing problems, hypertension, stroke, visual impairment) were assessed by self-report of diagnosis, symptoms, or blood pressure measurement. Multivariable logistic regression analysis was conducted to assess the association between levels of active travel, physical conditions and physical multi-morbidity.

RESULTS

The final sample consisted of 14,585 individuals aged ≥65 years (mean age = 72.6±0.1 years; 54.9% female). In the fully adjusted model, compared to the highest tertile, those in the lowest tertile of active travel had a 1.28 (95%CI = 1.06-1.54) times higher odds for physical multi-morbidity. The association between active travel and physical multi-morbidity was significantly mediated by affect (14.4%) and cognition (9.7%). With regard to individual conditions, hearing problems, hypertension, stroke, and visual impairment were particularly strongly associated with less active travel.

CONCLUSION

The current data suggest that lower levels of active travel are associated with the presence of physical health conditions and physical multi-morbidity. This multi-national study offers potentially valuable insight for a number of hypotheses which may influence this relationship, although testing with longitudinal studies is needed.

DOI: 10.1371/journal.pone.0203277
PubMed: 30161211
PubMed Central: PMC6117036

Affiliations:

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

to stream Main, to step Corpus: 000733
to stream Main, to step Curation: 000733

Le document en format XML

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<author><name sortKey="Swinnen, Nathalie" sort="Swinnen, Nathalie" uniqKey="Swinnen N" first="Nathalie" last="Swinnen">Nathalie Swinnen</name>
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<author><name sortKey="Firth, Joseph" sort="Firth, Joseph" uniqKey="Firth J" first="Joseph" last="Firth">Joseph Firth</name>
<affiliation wicri:level="3"><nlm:affiliation>NICM Health Research Unit, School of Science and Health, University of Western Sydney, Sydney, Australia.</nlm:affiliation>
<country xml:lang="fr">Australie</country>
<wicri:regionArea>NICM Health Research Unit, School of Science and Health, University of Western Sydney, Sydney</wicri:regionArea>
<placeName><settlement type="city">Sydney</settlement>
<region type="état">Nouvelle-Galles du Sud</region>
</placeName>
</affiliation>
<affiliation wicri:level="4"><nlm:affiliation>Division of Psychology and Mental Health, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, United Kingdom.</nlm:affiliation>
<country xml:lang="fr">Royaume-Uni</country>
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<region type="région" nuts="1">Grand Manchester</region>
</placeName>
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<author><name sortKey="Schuch, Felipe B" sort="Schuch, Felipe B" uniqKey="Schuch F" first="Felipe B" last="Schuch">Felipe B. Schuch</name>
<affiliation wicri:level="1"><nlm:affiliation>Universidade La Salle (Unilasalle), Canoas, Brazil.</nlm:affiliation>
<country xml:lang="fr">Brésil</country>
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<wicri:noRegion>Canoas</wicri:noRegion>
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<country xml:lang="fr">Brésil</country>
<wicri:regionArea>Escola de Educação Física, Fisioterapia e Dança, Porto Alegre</wicri:regionArea>
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</placeName>
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<author><name sortKey="Koyanagi, Ai" sort="Koyanagi, Ai" uniqKey="Koyanagi A" first="Ai" last="Koyanagi">Ai Koyanagi</name>
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<country xml:lang="fr">Espagne</country>
<wicri:regionArea>Instituto de Salud Carlos III, Centro de Investigación Biomédica en Red de Salud Mental, CIBERSAM, Madrid</wicri:regionArea>
<placeName><settlement type="city">Madrid</settlement>
<region nuts="2" type="region">Communauté de Madrid</region>
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<affiliation wicri:level="4"><nlm:affiliation>Research and Development Unit, Universitat de Barcelona, Fundació Sant Joan de Déu, Barcelona, Spain.</nlm:affiliation>
<country xml:lang="fr">Espagne</country>
<wicri:regionArea>Research and Development Unit, Universitat de Barcelona, Fundació Sant Joan de Déu, Barcelona</wicri:regionArea>
<placeName><settlement type="city">Barcelone</settlement>
<region nuts="2" type="region">Catalogne</region>
</placeName>
<orgName type="university">Université de Barcelone</orgName>
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<idno type="eISSN">1932-6203</idno>
<imprint><date when="2018" type="published">2018</date>
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<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Aged (MeSH)</term>
<term>Bicycling (MeSH)</term>
<term>Chronic Disease (epidemiology)</term>
<term>Cross-Sectional Studies (MeSH)</term>
<term>Developing Countries (MeSH)</term>
<term>Female (MeSH)</term>
<term>Humans (MeSH)</term>
<term>Male (MeSH)</term>
<term>Multimorbidity (MeSH)</term>
<term>Prevalence (MeSH)</term>
<term>Travel (MeSH)</term>
<term>Walking (MeSH)</term>
</keywords>
<keywords scheme="KwdFr" xml:lang="fr"><term>Cyclisme (MeSH)</term>
<term>Femelle (MeSH)</term>
<term>Humains (MeSH)</term>
<term>Maladie chronique (épidémiologie)</term>
<term>Marche à pied (MeSH)</term>
<term>Multimorbidité (MeSH)</term>
<term>Mâle (MeSH)</term>
<term>Pays en voie de développement (MeSH)</term>
<term>Prévalence (MeSH)</term>
<term>Sujet âgé (MeSH)</term>
<term>Voyage (MeSH)</term>
<term>Études transversales (MeSH)</term>
</keywords>
<keywords scheme="MESH" qualifier="epidemiology" xml:lang="en"><term>Chronic Disease</term>
</keywords>
<keywords scheme="MESH" qualifier="épidémiologie" xml:lang="fr"><term>Maladie chronique</term>
</keywords>
<keywords scheme="MESH" xml:lang="en"><term>Aged</term>
<term>Bicycling</term>
<term>Cross-Sectional Studies</term>
<term>Developing Countries</term>
<term>Female</term>
<term>Humans</term>
<term>Male</term>
<term>Multimorbidity</term>
<term>Prevalence</term>
<term>Travel</term>
<term>Walking</term>
</keywords>
<keywords scheme="MESH" xml:lang="fr"><term>Cyclisme</term>
<term>Femelle</term>
<term>Humains</term>
<term>Marche à pied</term>
<term>Multimorbidité</term>
<term>Mâle</term>
<term>Pays en voie de développement</term>
<term>Prévalence</term>
<term>Sujet âgé</term>
<term>Voyage</term>
<term>Études transversales</term>
</keywords>
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</teiHeader>
<front><div type="abstract" xml:lang="en"><p><b>BACKGROUND</b>
</p>
<p>There is little evidence on the potential health benefits of active travel in low- and middle-income countries (LMICs). The aim of this study was to assess the association between levels of active travel and physical multi-morbidity (i.e., two or more chronic physical conditions) and individual physical conditions among community-dwelling adults aged 65 or older in six LMICs.</p>
</div>
<div type="abstract" xml:lang="en"><p><b>METHODS</b>
</p>
<p>Data were analyzed from the World Health Organization's Study on Global Ageing and Adult Health (China, Ghana, India, Mexico, Russia, South Africa). Active travel (minutes / week) was assessed with questions of the Global Physical Activity Questionnaire (GPAQ) and presented in tertiles. Eleven chronic conditions (angina, arthritis, asthma, chronic back pain, chronic lung disease, diabetes, edentulism, hearing problems, hypertension, stroke, visual impairment) were assessed by self-report of diagnosis, symptoms, or blood pressure measurement. Multivariable logistic regression analysis was conducted to assess the association between levels of active travel, physical conditions and physical multi-morbidity.</p>
</div>
<div type="abstract" xml:lang="en"><p><b>RESULTS</b>
</p>
<p>The final sample consisted of 14,585 individuals aged ≥65 years (mean age = 72.6±0.1 years; 54.9% female). In the fully adjusted model, compared to the highest tertile, those in the lowest tertile of active travel had a 1.28 (95%CI = 1.06-1.54) times higher odds for physical multi-morbidity. The association between active travel and physical multi-morbidity was significantly mediated by affect (14.4%) and cognition (9.7%). With regard to individual conditions, hearing problems, hypertension, stroke, and visual impairment were particularly strongly associated with less active travel.</p>
</div>
<div type="abstract" xml:lang="en"><p><b>CONCLUSION</b>
</p>
<p>The current data suggest that lower levels of active travel are associated with the presence of physical health conditions and physical multi-morbidity. This multi-national study offers potentially valuable insight for a number of hypotheses which may influence this relationship, although testing with longitudinal studies is needed.</p>
</div>
</front>
</TEI>
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<DateCompleted><Year>2019</Year>
<Month>02</Month>
<Day>12</Day>
</DateCompleted>
<DateRevised><Year>2021</Year>
<Month>01</Month>
<Day>09</Day>
</DateRevised>
<Article PubModel="Electronic-eCollection"><Journal><ISSN IssnType="Electronic">1932-6203</ISSN>
<JournalIssue CitedMedium="Internet"><Volume>13</Volume>
<Issue>8</Issue>
<PubDate><Year>2018</Year>
</PubDate>
</JournalIssue>
<Title>PloS one</Title>
<ISOAbbreviation>PLoS One</ISOAbbreviation>
</Journal>
<ArticleTitle>Associations between active travel and physical multi-morbidity in six low- and middle-income countries among community-dwelling older adults: A cross-sectional study.</ArticleTitle>
<Pagination><MedlinePgn>e0203277</MedlinePgn>
</Pagination>
<ELocationID EIdType="doi" ValidYN="Y">10.1371/journal.pone.0203277</ELocationID>
<Abstract><AbstractText Label="BACKGROUND">There is little evidence on the potential health benefits of active travel in low- and middle-income countries (LMICs). The aim of this study was to assess the association between levels of active travel and physical multi-morbidity (i.e., two or more chronic physical conditions) and individual physical conditions among community-dwelling adults aged 65 or older in six LMICs.</AbstractText>
<AbstractText Label="METHODS">Data were analyzed from the World Health Organization's Study on Global Ageing and Adult Health (China, Ghana, India, Mexico, Russia, South Africa). Active travel (minutes / week) was assessed with questions of the Global Physical Activity Questionnaire (GPAQ) and presented in tertiles. Eleven chronic conditions (angina, arthritis, asthma, chronic back pain, chronic lung disease, diabetes, edentulism, hearing problems, hypertension, stroke, visual impairment) were assessed by self-report of diagnosis, symptoms, or blood pressure measurement. Multivariable logistic regression analysis was conducted to assess the association between levels of active travel, physical conditions and physical multi-morbidity.</AbstractText>
<AbstractText Label="RESULTS">The final sample consisted of 14,585 individuals aged ≥65 years (mean age = 72.6±0.1 years; 54.9% female). In the fully adjusted model, compared to the highest tertile, those in the lowest tertile of active travel had a 1.28 (95%CI = 1.06-1.54) times higher odds for physical multi-morbidity. The association between active travel and physical multi-morbidity was significantly mediated by affect (14.4%) and cognition (9.7%). With regard to individual conditions, hearing problems, hypertension, stroke, and visual impairment were particularly strongly associated with less active travel.</AbstractText>
<AbstractText Label="CONCLUSION">The current data suggest that lower levels of active travel are associated with the presence of physical health conditions and physical multi-morbidity. This multi-national study offers potentially valuable insight for a number of hypotheses which may influence this relationship, although testing with longitudinal studies is needed.</AbstractText>
</Abstract>
<AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Vancampfort</LastName>
<ForeName>Davy</ForeName>
<Initials>D</Initials>
<Identifier Source="ORCID">0000-0002-4592-8625</Identifier>
<AffiliationInfo><Affiliation>KU Leuven Department of Rehabilitation Sciences, Leuven, Belgium.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>KU Leuven, University Psychiatric Center KU Leuven, Kortenberg, Belgium.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Smith</LastName>
<ForeName>Lee</ForeName>
<Initials>L</Initials>
<AffiliationInfo><Affiliation>The Cambridge Centre for Sport and Exercise Sciences, Department of Life Sciences, Anglia Ruskin University, Cambridge, United Kingdom.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Stubbs</LastName>
<ForeName>Brendon</ForeName>
<Initials>B</Initials>
<AffiliationInfo><Affiliation>Physiotherapy Department, South London and Maudsley NHS Foundation Trust, Denmark Hill, London, United Kingdom.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>Health Service and Population Research Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>Faculty of Health, Social Care and Education, Anglia Ruskin University, Chelmsford, United Kingdom.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Swinnen</LastName>
<ForeName>Nathalie</ForeName>
<Initials>N</Initials>
<AffiliationInfo><Affiliation>KU Leuven Department of Rehabilitation Sciences, Leuven, Belgium.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>KU Leuven, University Psychiatric Center KU Leuven, Kortenberg, Belgium.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Firth</LastName>
<ForeName>Joseph</ForeName>
<Initials>J</Initials>
<AffiliationInfo><Affiliation>NICM Health Research Unit, School of Science and Health, University of Western Sydney, Sydney, Australia.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>Division of Psychology and Mental Health, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, United Kingdom.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Schuch</LastName>
<ForeName>Felipe B</ForeName>
<Initials>FB</Initials>
<AffiliationInfo><Affiliation>Universidade La Salle (Unilasalle), Canoas, Brazil.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>Escola de Educação Física, Fisioterapia e Dança, Porto Alegre, Brazil.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Koyanagi</LastName>
<ForeName>Ai</ForeName>
<Initials>A</Initials>
<AffiliationInfo><Affiliation>Instituto de Salud Carlos III, Centro de Investigación Biomédica en Red de Salud Mental, CIBERSAM, Madrid, Spain.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>Research and Development Unit, Universitat de Barcelona, Fundació Sant Joan de Déu, Barcelona, Spain.</Affiliation>
</AffiliationInfo>
</Author>
</AuthorList>
<Language>eng</Language>
<GrantList CompleteYN="Y"><Grant><GrantID>ICA-CL-2017-03-001</GrantID>
<Acronym>DH_</Acronym>
<Agency>Department of Health</Agency>
<Country>United Kingdom</Country>
</Grant>
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<PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType>
<PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType>
</PublicationTypeList>
<ArticleDate DateType="Electronic"><Year>2018</Year>
<Month>08</Month>
<Day>30</Day>
</ArticleDate>
</Article>
<MedlineJournalInfo><Country>United States</Country>
<MedlineTA>PLoS One</MedlineTA>
<NlmUniqueID>101285081</NlmUniqueID>
<ISSNLinking>1932-6203</ISSNLinking>
</MedlineJournalInfo>
<CitationSubset>IM</CitationSubset>
<MeshHeadingList><MeshHeading><DescriptorName UI="D000368" MajorTopicYN="N">Aged</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D001642" MajorTopicYN="Y">Bicycling</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D002908" MajorTopicYN="N">Chronic Disease</DescriptorName>
<QualifierName UI="Q000453" MajorTopicYN="Y">epidemiology</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D003430" MajorTopicYN="N">Cross-Sectional Studies</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D003906" MajorTopicYN="N">Developing Countries</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D005260" MajorTopicYN="N">Female</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D008297" MajorTopicYN="N">Male</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D000076322" MajorTopicYN="Y">Multimorbidity</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D015995" MajorTopicYN="N">Prevalence</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D014195" MajorTopicYN="N">Travel</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D016138" MajorTopicYN="Y">Walking</DescriptorName>
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<CoiStatement>The authors have declared that no competing interests exist.</CoiStatement>
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Associations between active travel and physical multi-morbidity in six low- and middle-income countries among community-dwelling older adults: A cross-sectional study.

Associations between active travel and physical multi-morbidity in six low- and middle-income countries among community-dwelling older adults: A cross-sectional study.

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