Cluster of risk and protective factors for obesity among brazilian adolescents

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dc.creatorEmanuella Gomes Maia
dc.creatorLarissa Loures Mendes
dc.creatorAdriano Marçal Pimenta
dc.creatorRenata Bertazzi Levy
dc.creatorRafael Moreira Claro
dc.date.accessioned2024-03-11T21:11:19Z
dc.date.accessioned2025-09-08T23:41:28Z
dc.date.available2024-03-11T21:11:19Z
dc.date.issued2017-11-15
dc.format.mimetypepdf
dc.identifier.doi10.1007/s00038-017-1053-7
dc.identifier.issn1661-8564
dc.identifier.urihttps://hdl.handle.net/1843/65678
dc.languageeng
dc.publisherUniversidade Federal de Minas Gerais
dc.relation.ispartofInternational Journal of Public Health
dc.rightsAcesso Restrito
dc.subjectObesidade
dc.subjectAnálise por Conglomerados
dc.subjectComportamentos Relacionados com a Saúde
dc.subjectAdolescente
dc.subjectFatores de Risco
dc.subjectSaúde Pública
dc.titleCluster of risk and protective factors for obesity among brazilian adolescents
dc.typeArtigo de periódico
local.citation.epage490
local.citation.spage481
local.citation.volume63
local.description.resumoThis study aims to identify and analyze clusters formed by risk and protective factors for obesity among Brazilian adolescents. Cross-sectional data collected in a national representative sample of adolescents by the Brazilian NationalSchool Health Survey of 2012 were used (n = 109,104). Cluster analysis was applied to identify clusters involving dietary intake, eating behavior, physical activity and sedentary behaviors. Logistic regression was employed to contextualize the clusters according to students’ sociodemographics and schools’ characteristics. Two clusters were identified. Cluster 1 was predominantly characterized by the low frequency of both risk and protective factors for obesity; Cluster 2 was characterized by high frequency of both of these factors. None was essentially healthy or unhealthy. Adolescents from less developed regions and with mothers with lower education level were associated to Cluster 1. The identification of two mixed clusters indicate wide spread obesity risk among scholars in the country. The association between the clusters and sociodemographic characteristics of the population allows a greater refinement of health promotion and obesity prevention and combat actions in Brazil.
local.publisher.countryBrasil
local.publisher.departmentENF - DEPARTAMENTO DE NUTRIÇÃO
local.publisher.initialsUFMG
local.url.externahttps://link.springer.com/article/10.1007/s00038-017-1053-7

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