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dc.contributor.authorRodriguez, Alejandro-
dc.contributor.authorVaca-Martínez, Gioconda Maritza-
dc.contributor.authorChico, Martha E.-
dc.contributor.authorRodrigues, Laura C.-
dc.contributor.authorBarreto, Mauricio Lima-
dc.contributor.authorCooper, Philip J.-
dc.creatorRodriguez, Alejandro-
dc.creatorVaca-Martínez, Gioconda Maritza-
dc.creatorChico, Martha E.-
dc.creatorRodrigues, Laura C.-
dc.creatorBarreto, Mauricio Lima-
dc.creatorCooper, Philip J.-
dc.date.accessioned2016-05-09T18:35:01Z-
dc.date.available2016-05-09T18:35:01Z-
dc.date.issued2015-
dc.identifier.issn1476-069X-
dc.identifier.urihttp://repositorio.ufba.br/ri/handle/ri/19117-
dc.description.abstractBackground: The acquisition of a modern lifestyle may explain variations in asthma prevalence between urban and rural areas in developing countries. However, the effects of lifestyle on asthma have been investigated as individual factors with little consideration given to the effects of lifestyle as a set of attributes. The aim of the present study was to identify modern lifestyle domains and assess how these domains might explain wheeze prevalence in urban and rural areas. Methods: We analysed data from cross-sectional studies of urban and rural schoolchildren in Esmeraldas Province, Ecuador. Variables were grouped as indicators of socioeconomic factors, sedentarism, agricultural activities and household characteristics to represent the main lifestyle features of the study population. We used multiple correspondence analyses to identify common lifestyle domains and cluster analysis to allocate children to each domain. We evaluated associations between domains and recent wheeze by logistic regression. Results: We identified 2–3 lifestyle domains for each variable group. Although wheeze prevalence was similar in urban (9.4%) and rural (10.3%) schoolchildren, lifestyle domains presented clear associations with wheeze prevalence. Domains relating to home infrastructure (termed transitional, rudimentary, and basic urban) had the strongest overall effect on wheeze prevalence in both urban (rudimentary vs. basic urban, OR = 2.38, 95% CI 1.12-5.05, p = 0.024) and rural areas (transitional vs. basic urban, OR = 2.02, 95% CI 1.1-3.73, p = 0.024; rudimentary vs. basic urban, OR = 1.88, 95% CI 1.02-3.47, p = 0.043). A high level of sedentarism was associated with wheeze in the rural areas only (OR = 1.64, 95% CI 1.23-2.18, p = 0.001). Conclusions: We identified lifestyle domains associated with wheeze prevalence, particularly living in substandard housing and a high level of sedentarism. Such factors could be modified through programmes of improved housing and education. The use of lifestyle domains provides an alternative methodology for the evaluation of variations in wheeze prevalence in populations with different levels of development.pt_BR
dc.language.isoenpt_BR
dc.publisherBiomed Centralpt_BR
dc.rightsAcesso Abertopt_BR
dc.sourcehttp://www.ncbi.nlm.nih.gov/pmc/articles/PMC4417196/pdf/12940_2014_Article_849.pdfpt_BR
dc.subjectLifestyle domainspt_BR
dc.subjectWheezept_BR
dc.subjectSchoolchildrenpt_BR
dc.subjectUrbanpt_BR
dc.subjectRuralpt_BR
dc.subjectTropicspt_BR
dc.subjectLatin Americapt_BR
dc.titleLifestyle domains as determinants of wheeze prevalence in urban and rural schoolchildren in Ecuador: cross sectional analysispt_BR
dc.title.alternativeEnviron. Healthpt_BR
dc.typeArtigo de Periódicopt_BR
dc.description.localpubLondonpt_BR
dc.identifier.numberv.14, p.1-13pt_BR
dc.publisher.countryBrasilpt_BR
Aparece nas coleções:Artigo Publicado em Periódico Estrangeiro (ISC)

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