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dc.rights.licenceAttribution-NonCommercial 4.0 International*
dc.contributor.authorPontificia Universidad Javeriana. Facultad de Medicina. Departamento de Medicina Preventiva y Social. Grupo de investigación de Medicina Preventiva y Social
dc.contributor.authorAdams, Marc A.
dc.contributor.authorDing, Ding
dc.contributor.authorSallis, James
dc.contributor.authorBowles, Heather
dc.contributor.authorAinsworth, Barbara E.
dc.contributor.authorBergman, Patrick
dc.contributor.authorBull, Fiona
dc.contributor.authorCarr, Harriette
dc.contributor.authorCraig, Cora
dc.contributor.authorDe Bourdeaudhuij, Ilse
dc.contributor.authorHagströmer, Maria
dc.contributor.authorKlasson Heggebø, Lena
dc.contributor.authorInoue, Shigeru
dc.contributor.authorLefevre, Johan
dc.contributor.authorMacfarlane, Duncan
dc.contributor.authorMatsudo, Sandra
dc.contributor.authorMatsudo, Victor
dc.contributor.authorMcLean, Grant
dc.contributor.authorMurase, Norio
dc.contributor.authorSjöström, Michael
dc.contributor.authorTomten, Heidi
dc.contributor.authorVolbekiene, Vida
dc.contributor.authorBauman, Adrian
dc.date.accessioned2020-11-23T12:11:54Z
dc.date.available2020-11-23T12:11:54Z
dc.date.created2013
dc.identifierhttps://ijbnpa.biomedcentral.com/articles/10.1186/1479-5868-10-34spa
dc.identifier.issn1479-5868 (Electrónico)spa
dc.identifier.urihttp://hdl.handle.net/10554/51727
dc.formatPDFspa
dc.format.mimetypeapplication/pdfspa
dc.language.isoengspa
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/*
dc.titlePatterns of neighborhood environment attributes related to physical activity across 11 countries : a latent class analysisspa
dc.type.hasversionhttp://purl.org/coar/version/c_ab4af688f83e57aa
dc.description.quartilewosQ1spa
dc.description.quartilescopusQ1spa
dc.identifier.doihttps://doi.org/10.1186/1479-5868-10-34spa
dc.subject.keywordBuilt environmentspa
dc.subject.keywordInternationalspa
dc.subject.keywordRecreationspa
dc.subject.keywordSurveillancespa
dc.subject.keywordExercisespa
dc.description.abstractenglishBackground: Neighborhood environment studies of physical activity (PA) have been mainly single-country focused. The International Prevalence Study (IPS) presented a rare opportunity to examine neighborhood features across countries. The purpose of this analysis was to: 1) detect international neighborhood typologies based on participants’ response patterns to an environment survey and 2) to estimate associations between neighborhood environment patterns and PA. Methods: A Latent Class Analysis (LCA) was conducted on pooled IPS adults (N=11,541) aged 18 to 64 years old (mean=37.5 ±12.8 yrs; 55.6% women) from 11 countries including Belgium, Brazil, Canada, Colombia, Hong Kong, Japan, Lithuania, New Zealand, Norway, Sweden, and the U.S. This subset used the Physical Activity Neighborhood Environment Survey (PANES) that briefly assessed 7 attributes within 10–15 minutes walk of participants’ residences, including residential density, access to shops/services, recreational facilities, public transit facilities, presence of sidewalks and bike paths, and personal safety. LCA derived meaningful subgroups from participants’ response patterns to PANES items, and participants were assigned to neighborhood types. The validated short-form International Physical Activity Questionnaire (IPAQ) measured likelihood of meeting the 150 minutes/week PA guideline. To validate derived classes, meeting the guideline either by walking or total PA was regressed on neighborhood types using a weighted generalized linear regression model, adjusting for gender, age and country. Results: A 5-subgroup solution fitted the dataset and was interpretable. Neighborhood types were labeled, “Overall Activity Supportive (52% of sample)”, “High Walkable and Unsafe with Few Recreation Facilities (16%)”, “Safe with Active Transport Facilities (12%)”, “Transit and Shops Dense with Few Amenities (15%)”, and “Safe but Activity Unsupportive (5%)”. Country representation differed by type (e.g., U.S. disproportionally represented “Safe but Activity Unsupportive”). Compared to the Safe but Activity Unsupportive, two types showed greater odds of meeting PA guideline for walking outcome (High Walkable and Unsafe with Few Recreation Facilities, OR= 2.26 (95% CI 1.18-4.31); Overall Activity Supportive, OR= 1.90 (95% CI 1.13-3.21). Significant but smaller odds ratios were also found for total PA. Conclusions: Meaningful neighborhood patterns generalized across countries and explained practical differences in PA. These observational results support WHO/UN recommendations for programs and policies targeted to improve features of the neighborhood environment for PA.spa
dc.rights.accessrightshttp://purl.org/coar/access_right/c_abf2spa
dc.type.localArtículosspa
dc.identifier.instnameinstname:Pontificia Universidad Javerianaspa
dc.identifier.reponamereponame:Repositorio Institucional - Pontificia Universidad Javerianaspa
dc.identifier.repourlrepourl:https://repository.javeriana.edu.cospa
dc.type.coarhttp://purl.org/coar/resource_type/c_2df8fbb1spa
dc.description.cvlachttps://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0000154547spa
dc.relation.citationstartpage1spa
dc.relation.citationendpage11spa
dc.relation.ispartofjournalInternational Journal of Behavioral Nutrition and Physical Activityspa
dc.contributor.javerianateacherGomez Gutierrez, Luis Fernando
dc.description.indexingRevista Nacional - Indexadaspa
dc.relation.citationvolume10spa
dc.relation.citationissue34spa


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