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Please use this identifier to cite or link to this item: http://hdl.handle.net/1843/66787
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dc.creatorMariana Souza Lopespt_BR
dc.creatorWaleska Teixeira Caiaffapt_BR
dc.creatorAmanda Cristina de Souza Andradept_BR
dc.creatorAriene Silva do Carmopt_BR
dc.creatorSharrelle Barberpt_BR
dc.creatorLarissa Loures Mendespt_BR
dc.creatorAmélia Augusta de Lima Frichept_BR
dc.date.accessioned2024-04-02T20:33:21Z-
dc.date.available2024-04-02T20:33:21Z-
dc.date.issued2021-06-25-
dc.citation.volume25pt_BR
dc.citation.issue7pt_BR
dc.citation.spage1807pt_BR
dc.citation.epage1818pt_BR
dc.identifier.doi10.1017/s1368980021002706pt_BR
dc.identifier.issn1475-2727pt_BR
dc.identifier.urihttp://hdl.handle.net/1843/66787-
dc.description.resumoObjective: To examine the association between economic residential segregation and food environment. Design: Ecological: Food stores categorised according to the NOVA classification were geocoded, and absolute availability was calculated for each neighbourhood. Segregation was measured using local Gi *statistic, a measure of the SD between the economic composition of a neighbourhood (the proportion of heads of households in neighbourhoods earn monthly income of 0 to 3 minimum wages) and larger metropolitan area, weighted by the economic composition of surrounding neighbourhoods. Segregation was categorised as high (most segregated), medium (integrated) and low (less segregated or integrated). A proportional odds models were used to model the association between segregation and food environment. Setting: Belo Horizonte, Brazil. Participants: Food stores. Results: After adjustment for covariates, neighbourhoods characterised by high economic segregation had fewer food stores overall compared with neighbourhoods characterised by low segregation (OR = 0·56; 95 % CI (0·45, 0·69)). In addition, high segregated neighbourhoods were 49 % (OR = 0·51; 95 % CI (0·42, 0·61)) and 45 % (OR = 0·55; 95 % CI (0·45, 0·67)) less likely to have a high number of food stores that predominantly marketed ultra-processed foods and mixed food stores, respectively, as compared with their counterparts. Conclusions: Economic segregation is associated with differences in the distribution of food stores. Both low and high segregation territories should be prioritised by public policies to ensure healthy and adequate nutrition as a right for all communities. The former must continue to be protected from access to unhealthy commercial food outlets, while the latter must be the locus of actions that limit the availability of unhealthy commercial food store.pt_BR
dc.description.sponsorshipCNPq - Conselho Nacional de Desenvolvimento Científico e Tecnológicopt_BR
dc.description.sponsorshipCAPES - Coordenação de Aperfeiçoamento de Pessoal de Nível Superiorpt_BR
dc.format.mimetypepdfpt_BR
dc.languageengpt_BR
dc.publisherUniversidade Federal de Minas Geraispt_BR
dc.publisher.countryBrasilpt_BR
dc.publisher.departmentENF - DEPARTAMENTO DE NUTRIÇÃOpt_BR
dc.publisher.initialsUFMGpt_BR
dc.relation.ispartofPublic Health Nutritionpt_BR
dc.rightsAcesso Abertopt_BR
dc.subject.otherSegregação Residencialpt_BR
dc.subject.otherAlimentação no Contexto Urbanopt_BR
dc.subject.otherCaracterísticas da Vizinhançapt_BR
dc.subject.otherBrasilpt_BR
dc.titleSpatial inequalities of retail food stores may determine availability of healthful food choices in a brazilian metropolispt_BR
dc.typeArtigo de Periódicopt_BR
dc.url.externahttps://www.cambridge.org/core/journals/public-health-nutrition/article/spatial-inequalities-of-retail-food-stores-may-determine-availability-of-healthful-food-choices-in-a-brazilian-metropolis/F5B8F364FA414B07143DAE6F1F9ADBC4pt_BR
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