Spatial inequalities of retail food stores may determine availability of healthful food choices in a brazilian metropolis
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UFMG |
Texto Completo: | http://hdl.handle.net/1843/66787 |
Resumo: | Objective: 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. |
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Spatial inequalities of retail food stores may determine availability of healthful food choices in a brazilian metropolisSegregação ResidencialAlimentação no Contexto UrbanoCaracterísticas da VizinhançaBrasilObjective: 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.CNPq - Conselho Nacional de Desenvolvimento Científico e TecnológicoCAPES - Coordenação de Aperfeiçoamento de Pessoal de Nível SuperiorUniversidade Federal de Minas GeraisBrasilENF - DEPARTAMENTO DE NUTRIÇÃOUFMG2024-04-02T20:33:21Z2024-04-02T20:33:21Z2021-06-25info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlepdfapplication/pdf10.1017/s13689800210027061475-2727http://hdl.handle.net/1843/66787engPublic Health NutritionMariana Souza LopesWaleska Teixeira CaiaffaAmanda Cristina de Souza AndradeAriene Silva do CarmoSharrelle BarberLarissa Loures MendesAmélia Augusta de Lima Fricheinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFMGinstname:Universidade Federal de Minas Gerais (UFMG)instacron:UFMG2024-04-02T20:33:21Zoai:repositorio.ufmg.br:1843/66787Repositório InstitucionalPUBhttps://repositorio.ufmg.br/oairepositorio@ufmg.bropendoar:2024-04-02T20:33:21Repositório Institucional da UFMG - Universidade Federal de Minas Gerais (UFMG)false |
dc.title.none.fl_str_mv |
Spatial inequalities of retail food stores may determine availability of healthful food choices in a brazilian metropolis |
title |
Spatial inequalities of retail food stores may determine availability of healthful food choices in a brazilian metropolis |
spellingShingle |
Spatial inequalities of retail food stores may determine availability of healthful food choices in a brazilian metropolis Mariana Souza Lopes Segregação Residencial Alimentação no Contexto Urbano Características da Vizinhança Brasil |
title_short |
Spatial inequalities of retail food stores may determine availability of healthful food choices in a brazilian metropolis |
title_full |
Spatial inequalities of retail food stores may determine availability of healthful food choices in a brazilian metropolis |
title_fullStr |
Spatial inequalities of retail food stores may determine availability of healthful food choices in a brazilian metropolis |
title_full_unstemmed |
Spatial inequalities of retail food stores may determine availability of healthful food choices in a brazilian metropolis |
title_sort |
Spatial inequalities of retail food stores may determine availability of healthful food choices in a brazilian metropolis |
author |
Mariana Souza Lopes |
author_facet |
Mariana Souza Lopes Waleska Teixeira Caiaffa Amanda Cristina de Souza Andrade Ariene Silva do Carmo Sharrelle Barber Larissa Loures Mendes Amélia Augusta de Lima Friche |
author_role |
author |
author2 |
Waleska Teixeira Caiaffa Amanda Cristina de Souza Andrade Ariene Silva do Carmo Sharrelle Barber Larissa Loures Mendes Amélia Augusta de Lima Friche |
author2_role |
author author author author author author |
dc.contributor.author.fl_str_mv |
Mariana Souza Lopes Waleska Teixeira Caiaffa Amanda Cristina de Souza Andrade Ariene Silva do Carmo Sharrelle Barber Larissa Loures Mendes Amélia Augusta de Lima Friche |
dc.subject.por.fl_str_mv |
Segregação Residencial Alimentação no Contexto Urbano Características da Vizinhança Brasil |
topic |
Segregação Residencial Alimentação no Contexto Urbano Características da Vizinhança Brasil |
description |
Objective: 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. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-06-25 2024-04-02T20:33:21Z 2024-04-02T20:33:21Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
10.1017/s1368980021002706 1475-2727 http://hdl.handle.net/1843/66787 |
identifier_str_mv |
10.1017/s1368980021002706 1475-2727 |
url |
http://hdl.handle.net/1843/66787 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Public Health Nutrition |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
pdf application/pdf |
dc.publisher.none.fl_str_mv |
Universidade Federal de Minas Gerais Brasil ENF - DEPARTAMENTO DE NUTRIÇÃO UFMG |
publisher.none.fl_str_mv |
Universidade Federal de Minas Gerais Brasil ENF - DEPARTAMENTO DE NUTRIÇÃO UFMG |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da UFMG instname:Universidade Federal de Minas Gerais (UFMG) instacron:UFMG |
instname_str |
Universidade Federal de Minas Gerais (UFMG) |
instacron_str |
UFMG |
institution |
UFMG |
reponame_str |
Repositório Institucional da UFMG |
collection |
Repositório Institucional da UFMG |
repository.name.fl_str_mv |
Repositório Institucional da UFMG - Universidade Federal de Minas Gerais (UFMG) |
repository.mail.fl_str_mv |
repositorio@ufmg.br |
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1816829811780222976 |