Spatial inequalities of retail food stores may determine availability of healthful food choices in a brazilian metropolis

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dc.creatorMariana Souza Lopes
dc.creatorWaleska Teixeira Caiaffa
dc.creatorAmanda Cristina de Souza Andrade
dc.creatorAriene Silva do Carmo
dc.creatorSharrelle Barber
dc.creatorLarissa Loures Mendes
dc.creatorAmélia Augusta de Lima Friche
dc.date.accessioned2024-04-02T20:33:21Z
dc.date.accessioned2025-09-08T23:41:07Z
dc.date.available2024-04-02T20:33:21Z
dc.date.issued2021-06-25
dc.description.sponsorshipCNPq - Conselho Nacional de Desenvolvimento Científico e Tecnológico
dc.description.sponsorshipCAPES - Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
dc.format.mimetypepdf
dc.identifier.doi10.1017/s1368980021002706
dc.identifier.issn1475-2727
dc.identifier.urihttps://hdl.handle.net/1843/66787
dc.languageeng
dc.publisherUniversidade Federal de Minas Gerais
dc.relation.ispartofPublic Health Nutrition
dc.rightsAcesso Aberto
dc.subjectSegregação Residencial
dc.subjectAlimentação no Contexto Urbano
dc.subjectCaracterísticas da Vizinhança
dc.subjectBrasil
dc.titleSpatial inequalities of retail food stores may determine availability of healthful food choices in a brazilian metropolis
dc.typeArtigo de periódico
local.citation.epage1818
local.citation.issue7
local.citation.spage1807
local.citation.volume25
local.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.
local.publisher.countryBrasil
local.publisher.departmentENF - DEPARTAMENTO DE NUTRIÇÃO
local.publisher.initialsUFMG
local.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/F5B8F364FA414B07143DAE6F1F9ADBC4

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