Macroeconomic, demographic and human developmental correlates of physical activity and sitting time among South American adults
Descripción del Articulo
Background: Our aim was to investigate the association of macroeconomic, human development, and demographic factors with different domains of physical activity and sitting time among South American adults. Methods: We used data from nationally representative samples in Argentina (n = 26,932), Brazil...
Autores: | , , , , , , , , , |
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Formato: | artículo |
Fecha de Publicación: | 2020 |
Institución: | Consejo Nacional de Ciencia Tecnología e Innovación |
Repositorio: | CONCYTEC-Institucional |
Lenguaje: | inglés |
OAI Identifier: | oai:repositorio.concytec.gob.pe:20.500.12390/2457 |
Enlace del recurso: | https://hdl.handle.net/20.500.12390/2457 https://doi.org/10.1186/s12966-020-01068-6 |
Nivel de acceso: | acceso abierto |
Materia: | Transportation Environment Epidemiology Global Health Latin America Physical activity http://purl.org/pe-repo/ocde/ford#5.04.02 |
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4689 |
dc.title.none.fl_str_mv |
Macroeconomic, demographic and human developmental correlates of physical activity and sitting time among South American adults |
title |
Macroeconomic, demographic and human developmental correlates of physical activity and sitting time among South American adults |
spellingShingle |
Macroeconomic, demographic and human developmental correlates of physical activity and sitting time among South American adults Werneck A.O. Transportation Environment Epidemiology Global Health Latin America Physical activity http://purl.org/pe-repo/ocde/ford#5.04.02 |
title_short |
Macroeconomic, demographic and human developmental correlates of physical activity and sitting time among South American adults |
title_full |
Macroeconomic, demographic and human developmental correlates of physical activity and sitting time among South American adults |
title_fullStr |
Macroeconomic, demographic and human developmental correlates of physical activity and sitting time among South American adults |
title_full_unstemmed |
Macroeconomic, demographic and human developmental correlates of physical activity and sitting time among South American adults |
title_sort |
Macroeconomic, demographic and human developmental correlates of physical activity and sitting time among South American adults |
author |
Werneck A.O. |
author_facet |
Werneck A.O. Sadarangani K.P. Ramírez-Vélez R. Baldew S.-S. Gomes T.N. Ferrari G. Szwarcwald C.L. Miranda J.J. Silva D.R. on behalf of the South American Physical Activity and Sedentary Behavior Network (SAPASEN) collaborators |
author_role |
author |
author2 |
Sadarangani K.P. Ramírez-Vélez R. Baldew S.-S. Gomes T.N. Ferrari G. Szwarcwald C.L. Miranda J.J. Silva D.R. on behalf of the South American Physical Activity and Sedentary Behavior Network (SAPASEN) collaborators |
author2_role |
author author author author author author author author author |
dc.contributor.author.fl_str_mv |
Werneck A.O. Sadarangani K.P. Ramírez-Vélez R. Baldew S.-S. Gomes T.N. Ferrari G. Szwarcwald C.L. Miranda J.J. Silva D.R. on behalf of the South American Physical Activity and Sedentary Behavior Network (SAPASEN) collaborators |
dc.subject.none.fl_str_mv |
Transportation |
topic |
Transportation Environment Epidemiology Global Health Latin America Physical activity http://purl.org/pe-repo/ocde/ford#5.04.02 |
dc.subject.es_PE.fl_str_mv |
Environment Epidemiology Global Health Latin America Physical activity |
dc.subject.ocde.none.fl_str_mv |
http://purl.org/pe-repo/ocde/ford#5.04.02 |
description |
Background: Our aim was to investigate the association of macroeconomic, human development, and demographic factors with different domains of physical activity and sitting time among South American adults. Methods: We used data from nationally representative samples in Argentina (n = 26,932), Brazil (n = 52,490), Chile (n = 3866), Colombia (n = 14,208), Ecuador (n = 19,883), Peru (n = 8820), and Uruguay (n = 2403). Our outcomes included leisure time (?150 min/week), transport (?10 min/week), occupational (?10 min/week), and total (?150 min/week) physical activity, as well as sitting time (?4 h/day), which were collected through self-reported questionnaires. As exposures, gross domestic product, total population, population density, and human development index indicators from the most updated national census of each country were used. Age and education were used as covariates. Multilevel logistic regressions with harmonized random effect meta-analyses were conducted, comparing highest vs. lowest (reference) tertiles. Results: Higher odds for transport physical activity were observed among the highest tertiles of total population (ORmen: 1.41; 95% CI: 1.23–1.62), ORwomen: 1.51; 95% CI:1.32–1.73), population density (ORmen: 1.36; 95% CI: 1.18–1.57, ORwomen: 1.49; 95% CI: 1.30–1.70), and gross domestic product (ORmen: 1.16; 95% CI: 1.00–1.35, ORwomen: 1.39; 95% CI: 1.20–1.61). For leisure physical activity, women living in departments with higher human development index presented 18% higher odds for being active, and for total physical activity a similar estimate in both sexes was observed among those who live in more populated areas. No consistent associations were found for occupational physical activity and sitting time. Conclusion: Macroeconomic, demographic and human development indicators are associated with different domains of physical activity in the South American context, which can in turn guide policies to promote physical activity in the region. © 2020, The Author(s). |
publishDate |
2020 |
dc.date.accessioned.none.fl_str_mv |
2024-05-30T23:13:38Z |
dc.date.available.none.fl_str_mv |
2024-05-30T23:13:38Z |
dc.date.issued.fl_str_mv |
2020 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
dc.identifier.uri.none.fl_str_mv |
https://hdl.handle.net/20.500.12390/2457 |
dc.identifier.doi.none.fl_str_mv |
https://doi.org/10.1186/s12966-020-01068-6 |
dc.identifier.scopus.none.fl_str_mv |
2-s2.0-85097557425 |
url |
https://hdl.handle.net/20.500.12390/2457 https://doi.org/10.1186/s12966-020-01068-6 |
identifier_str_mv |
2-s2.0-85097557425 |
dc.language.iso.none.fl_str_mv |
eng |
language |
eng |
dc.relation.ispartof.none.fl_str_mv |
International Journal of Behavioral Nutrition and Physical Activity |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess |
dc.rights.uri.none.fl_str_mv |
https://creativecommons.org/licenses/by-nc-nd/4.0/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by-nc-nd/4.0/ |
dc.publisher.none.fl_str_mv |
BioMed Central Ltd |
publisher.none.fl_str_mv |
BioMed Central Ltd |
dc.source.none.fl_str_mv |
reponame:CONCYTEC-Institucional instname:Consejo Nacional de Ciencia Tecnología e Innovación instacron:CONCYTEC |
instname_str |
Consejo Nacional de Ciencia Tecnología e Innovación |
instacron_str |
CONCYTEC |
institution |
CONCYTEC |
reponame_str |
CONCYTEC-Institucional |
collection |
CONCYTEC-Institucional |
repository.name.fl_str_mv |
Repositorio Institucional CONCYTEC |
repository.mail.fl_str_mv |
repositorio@concytec.gob.pe |
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1844883014871416832 |
spelling |
Publicationrp06219600rp06217600rp06214600rp06218600rp06215600rp06220600rp06221600rp00670600rp06216600rp06222600Werneck A.O.Sadarangani K.P.Ramírez-Vélez R.Baldew S.-S.Gomes T.N.Ferrari G.Szwarcwald C.L.Miranda J.J.Silva D.R.on behalf of the South American Physical Activity and Sedentary Behavior Network (SAPASEN) collaborators2024-05-30T23:13:38Z2024-05-30T23:13:38Z2020https://hdl.handle.net/20.500.12390/2457https://doi.org/10.1186/s12966-020-01068-62-s2.0-85097557425Background: Our aim was to investigate the association of macroeconomic, human development, and demographic factors with different domains of physical activity and sitting time among South American adults. Methods: We used data from nationally representative samples in Argentina (n = 26,932), Brazil (n = 52,490), Chile (n = 3866), Colombia (n = 14,208), Ecuador (n = 19,883), Peru (n = 8820), and Uruguay (n = 2403). Our outcomes included leisure time (?150 min/week), transport (?10 min/week), occupational (?10 min/week), and total (?150 min/week) physical activity, as well as sitting time (?4 h/day), which were collected through self-reported questionnaires. As exposures, gross domestic product, total population, population density, and human development index indicators from the most updated national census of each country were used. Age and education were used as covariates. Multilevel logistic regressions with harmonized random effect meta-analyses were conducted, comparing highest vs. lowest (reference) tertiles. Results: Higher odds for transport physical activity were observed among the highest tertiles of total population (ORmen: 1.41; 95% CI: 1.23–1.62), ORwomen: 1.51; 95% CI:1.32–1.73), population density (ORmen: 1.36; 95% CI: 1.18–1.57, ORwomen: 1.49; 95% CI: 1.30–1.70), and gross domestic product (ORmen: 1.16; 95% CI: 1.00–1.35, ORwomen: 1.39; 95% CI: 1.20–1.61). For leisure physical activity, women living in departments with higher human development index presented 18% higher odds for being active, and for total physical activity a similar estimate in both sexes was observed among those who live in more populated areas. No consistent associations were found for occupational physical activity and sitting time. Conclusion: Macroeconomic, demographic and human development indicators are associated with different domains of physical activity in the South American context, which can in turn guide policies to promote physical activity in the region. © 2020, The Author(s).Consejo Nacional de Ciencia, Tecnología e Innovación Tecnológica - ConcytecengBioMed Central LtdInternational Journal of Behavioral Nutrition and Physical Activityinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/4.0/TransportationEnvironment-1Epidemiology-1Global Health-1Latin America-1Physical activity-1http://purl.org/pe-repo/ocde/ford#5.04.02-1Macroeconomic, demographic and human developmental correlates of physical activity and sitting time among South American adultsinfo:eu-repo/semantics/articlereponame:CONCYTEC-Institucionalinstname:Consejo Nacional de Ciencia Tecnología e Innovacióninstacron:CONCYTEC20.500.12390/2457oai:repositorio.concytec.gob.pe:20.500.12390/24572024-05-30 16:08:23.458https://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_14cbinfo:eu-repo/semantics/closedAccessmetadata only accesshttps://repositorio.concytec.gob.peRepositorio Institucional CONCYTECrepositorio@concytec.gob.pe#PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE#<Publication xmlns="https://www.openaire.eu/cerif-profile/1.1/" id="adbb9202-f9ac-44ed-825a-13d5f36a612b"> <Type xmlns="https://www.openaire.eu/cerif-profile/vocab/COAR_Publication_Types">http://purl.org/coar/resource_type/c_1843</Type> <Language>eng</Language> <Title>Macroeconomic, demographic and human developmental correlates of physical activity and sitting time among South American adults</Title> <PublishedIn> <Publication> <Title>International Journal of Behavioral Nutrition and Physical Activity</Title> </Publication> </PublishedIn> <PublicationDate>2020</PublicationDate> <DOI>https://doi.org/10.1186/s12966-020-01068-6</DOI> <SCP-Number>2-s2.0-85097557425</SCP-Number> <Authors> <Author> <DisplayName>Werneck A.O.</DisplayName> <Person id="rp06219" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Sadarangani K.P.</DisplayName> <Person id="rp06217" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Ramírez-Vélez R.</DisplayName> <Person id="rp06214" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Baldew S.-S.</DisplayName> <Person id="rp06218" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Gomes T.N.</DisplayName> <Person id="rp06215" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Ferrari G.</DisplayName> <Person id="rp06220" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Szwarcwald C.L.</DisplayName> <Person id="rp06221" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Miranda J.J.</DisplayName> <Person id="rp00670" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Silva D.R.</DisplayName> <Person id="rp06216" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>on behalf of the South American Physical Activity and Sedentary Behavior Network (SAPASEN) collaborators</DisplayName> <Person id="rp06222" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> </Authors> <Editors> </Editors> <Publishers> <Publisher> <DisplayName>BioMed Central Ltd</DisplayName> <OrgUnit /> </Publisher> </Publishers> <License>https://creativecommons.org/licenses/by-nc-nd/4.0/</License> <Keyword>Transportation</Keyword> <Keyword>Environment</Keyword> <Keyword>Epidemiology</Keyword> <Keyword>Global Health</Keyword> <Keyword>Latin America</Keyword> <Keyword>Physical activity</Keyword> <Abstract>Background: Our aim was to investigate the association of macroeconomic, human development, and demographic factors with different domains of physical activity and sitting time among South American adults. Methods: We used data from nationally representative samples in Argentina (n = 26,932), Brazil (n = 52,490), Chile (n = 3866), Colombia (n = 14,208), Ecuador (n = 19,883), Peru (n = 8820), and Uruguay (n = 2403). Our outcomes included leisure time (?150 min/week), transport (?10 min/week), occupational (?10 min/week), and total (?150 min/week) physical activity, as well as sitting time (?4 h/day), which were collected through self-reported questionnaires. As exposures, gross domestic product, total population, population density, and human development index indicators from the most updated national census of each country were used. Age and education were used as covariates. Multilevel logistic regressions with harmonized random effect meta-analyses were conducted, comparing highest vs. lowest (reference) tertiles. Results: Higher odds for transport physical activity were observed among the highest tertiles of total population (ORmen: 1.41; 95% CI: 1.23–1.62), ORwomen: 1.51; 95% CI:1.32–1.73), population density (ORmen: 1.36; 95% CI: 1.18–1.57, ORwomen: 1.49; 95% CI: 1.30–1.70), and gross domestic product (ORmen: 1.16; 95% CI: 1.00–1.35, ORwomen: 1.39; 95% CI: 1.20–1.61). For leisure physical activity, women living in departments with higher human development index presented 18% higher odds for being active, and for total physical activity a similar estimate in both sexes was observed among those who live in more populated areas. No consistent associations were found for occupational physical activity and sitting time. Conclusion: Macroeconomic, demographic and human development indicators are associated with different domains of physical activity in the South American context, which can in turn guide policies to promote physical activity in the region. © 2020, The Author(s).</Abstract> <Access xmlns="http://purl.org/coar/access_right" > </Access> </Publication> -1 |
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13.304034 |
Nota importante:
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).