Social inequalities in the surrounding areas of food deserts and food swamps in a brazilian metropolis

Detalhes bibliográficos
Autor(a) principal: Olivia Souza Honório
Data de Publicação: 2021
Outros Autores: Milene Cristine Pessoa, Lúcia Helena Almeida Gratão, Luana Lara Rocha, Inês Rugani Ribeiro de Castro, Daniela Silva Canella, Paula Martins Horta, Larissa Loures Mendes
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFMG
Texto Completo: http://hdl.handle.net/1843/66688
Resumo: Background: Food deserts are neighborhoods with little or no access to healthy food, whereas food swamps are neighborhoods where unhealthy food options prevail over healthy ones. The main aims of the current study are to feature and compare the neighborhoods of food deserts and food swamps based on social inequality. Methods: Ecological study carried out in Belo Horizonte City, Minas Gerais State, Brazil. Information about commercial food establishments derived from two different databases. It was measured by secondary governmental databases, which were virtually conferred in the present study. Census tracts were considered as analysis units and classified as food deserts and food swamps, based on the Brazilian methodology. Take into consideration the density of establishments classified as selling fresh or minimally-processed food, mixed establishments, and establishments selling ultra-processed food. The Brazilian methodology evaluates food deserts by the density of healthy establishments (establishments classified as mostly selling fresh or minimally-processed food and mixed establishments) per 10 thousand inhabitants. And the metric to evaluate food swamps considers the density of unhealthy establishments (establishments mostly selling ultra-processed food) per 10 thousand inhabitants. Information about social inequalities comprised aspects such as income, population count, number of households, number of literate individuals, race, water and energy supply, and garbage collection. The Health Vulnerability Index (HVI) was used as a synthetic social vulnerability indicator. Results: Neighborhoods of food deserts presented worse essential service availability, lower income per capita, and smaller mean number of literate individuals. Census tracts classified as food swamps presented better sociodemographic conditions than those areas food deserts. Neighborhoods simultaneously classified as food deserts and food swamps presented lower income per capita and were more often observed in census sectors presenting medium and high HVI. Conclusion: The food environment in Belo Horizonte was featured by the strong presence of food deserts and food swamps. However, the potential influence of these areas on food intake has changed depending on social inequalities.
id UFMG_b7fabe1d75fb99661d5c17d2c007ad40
oai_identifier_str oai:repositorio.ufmg.br:1843/66688
network_acronym_str UFMG
network_name_str Repositório Institucional da UFMG
repository_id_str
spelling 2024-03-27T20:09:24Z2024-03-27T20:09:24Z2021-07-21201681810.1186/s12939-021-01501-71475-9276http://hdl.handle.net/1843/66688Background: Food deserts are neighborhoods with little or no access to healthy food, whereas food swamps are neighborhoods where unhealthy food options prevail over healthy ones. The main aims of the current study are to feature and compare the neighborhoods of food deserts and food swamps based on social inequality. Methods: Ecological study carried out in Belo Horizonte City, Minas Gerais State, Brazil. Information about commercial food establishments derived from two different databases. It was measured by secondary governmental databases, which were virtually conferred in the present study. Census tracts were considered as analysis units and classified as food deserts and food swamps, based on the Brazilian methodology. Take into consideration the density of establishments classified as selling fresh or minimally-processed food, mixed establishments, and establishments selling ultra-processed food. The Brazilian methodology evaluates food deserts by the density of healthy establishments (establishments classified as mostly selling fresh or minimally-processed food and mixed establishments) per 10 thousand inhabitants. And the metric to evaluate food swamps considers the density of unhealthy establishments (establishments mostly selling ultra-processed food) per 10 thousand inhabitants. Information about social inequalities comprised aspects such as income, population count, number of households, number of literate individuals, race, water and energy supply, and garbage collection. The Health Vulnerability Index (HVI) was used as a synthetic social vulnerability indicator. Results: Neighborhoods of food deserts presented worse essential service availability, lower income per capita, and smaller mean number of literate individuals. Census tracts classified as food swamps presented better sociodemographic conditions than those areas food deserts. Neighborhoods simultaneously classified as food deserts and food swamps presented lower income per capita and were more often observed in census sectors presenting medium and high HVI. Conclusion: The food environment in Belo Horizonte was featured by the strong presence of food deserts and food swamps. However, the potential influence of these areas on food intake has changed depending on social inequalities.engUniversidade Federal de Minas GeraisUFMGBrasilENF - DEPARTAMENTO DE ENFERMAGEM MATERNO INFANTIL E SAÚDE PÚBLICAENF - DEPARTAMENTO DE NUTRIÇÃOMED - DEPARTAMENTO DE GINECOLOGIA OBSTETRÍCIAInternational Journal for Equity in HealthDesertos AlimentaresFatores SocioeconômicosAlimentação no Contexto UrbanoPolítica PúblicaCaracterísticas da VizinhançaSocial inequalities in the surrounding areas of food deserts and food swamps in a brazilian metropolisinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttps://equityhealthj.biomedcentral.com/articles/10.1186/s12939-021-01501-7#availability-of-data-and-materialsOlivia Souza HonórioMilene Cristine PessoaLúcia Helena Almeida GratãoLuana Lara RochaInês Rugani Ribeiro de CastroDaniela Silva CanellaPaula Martins HortaLarissa Loures Mendesapplication/pdfinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFMGinstname:Universidade Federal de Minas Gerais (UFMG)instacron:UFMGLICENSELicense.txtLicense.txttext/plain; charset=utf-82042https://repositorio.ufmg.br/bitstream/1843/66688/1/License.txtfa505098d172de0bc8864fc1287ffe22MD51ORIGINALSocial inequalities in the surrounding areas of food deserts and food swamps in a Brazilian metropolis.pdfSocial inequalities in the surrounding areas of food deserts and food swamps in a Brazilian metropolis.pdfapplication/pdf553144https://repositorio.ufmg.br/bitstream/1843/66688/2/Social%20inequalities%20in%20the%20surrounding%20areas%20of%20food%20deserts%20and%20food%20swamps%20in%20a%20Brazilian%20metropolis.pdfe4f30e4f08cb335057a4d466731d8248MD521843/666882024-03-27 17:09:24.398oai:repositorio.ufmg.br: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Repositório de PublicaçõesPUBhttps://repositorio.ufmg.br/oaiopendoar:2024-03-27T20:09:24Repositório Institucional da UFMG - Universidade Federal de Minas Gerais (UFMG)false
dc.title.pt_BR.fl_str_mv Social inequalities in the surrounding areas of food deserts and food swamps in a brazilian metropolis
title Social inequalities in the surrounding areas of food deserts and food swamps in a brazilian metropolis
spellingShingle Social inequalities in the surrounding areas of food deserts and food swamps in a brazilian metropolis
Olivia Souza Honório
Desertos Alimentares
Fatores Socioeconômicos
Alimentação no Contexto Urbano
Política Pública
Características da Vizinhança
title_short Social inequalities in the surrounding areas of food deserts and food swamps in a brazilian metropolis
title_full Social inequalities in the surrounding areas of food deserts and food swamps in a brazilian metropolis
title_fullStr Social inequalities in the surrounding areas of food deserts and food swamps in a brazilian metropolis
title_full_unstemmed Social inequalities in the surrounding areas of food deserts and food swamps in a brazilian metropolis
title_sort Social inequalities in the surrounding areas of food deserts and food swamps in a brazilian metropolis
author Olivia Souza Honório
author_facet Olivia Souza Honório
Milene Cristine Pessoa
Lúcia Helena Almeida Gratão
Luana Lara Rocha
Inês Rugani Ribeiro de Castro
Daniela Silva Canella
Paula Martins Horta
Larissa Loures Mendes
author_role author
author2 Milene Cristine Pessoa
Lúcia Helena Almeida Gratão
Luana Lara Rocha
Inês Rugani Ribeiro de Castro
Daniela Silva Canella
Paula Martins Horta
Larissa Loures Mendes
author2_role author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Olivia Souza Honório
Milene Cristine Pessoa
Lúcia Helena Almeida Gratão
Luana Lara Rocha
Inês Rugani Ribeiro de Castro
Daniela Silva Canella
Paula Martins Horta
Larissa Loures Mendes
dc.subject.other.pt_BR.fl_str_mv Desertos Alimentares
Fatores Socioeconômicos
Alimentação no Contexto Urbano
Política Pública
Características da Vizinhança
topic Desertos Alimentares
Fatores Socioeconômicos
Alimentação no Contexto Urbano
Política Pública
Características da Vizinhança
description Background: Food deserts are neighborhoods with little or no access to healthy food, whereas food swamps are neighborhoods where unhealthy food options prevail over healthy ones. The main aims of the current study are to feature and compare the neighborhoods of food deserts and food swamps based on social inequality. Methods: Ecological study carried out in Belo Horizonte City, Minas Gerais State, Brazil. Information about commercial food establishments derived from two different databases. It was measured by secondary governmental databases, which were virtually conferred in the present study. Census tracts were considered as analysis units and classified as food deserts and food swamps, based on the Brazilian methodology. Take into consideration the density of establishments classified as selling fresh or minimally-processed food, mixed establishments, and establishments selling ultra-processed food. The Brazilian methodology evaluates food deserts by the density of healthy establishments (establishments classified as mostly selling fresh or minimally-processed food and mixed establishments) per 10 thousand inhabitants. And the metric to evaluate food swamps considers the density of unhealthy establishments (establishments mostly selling ultra-processed food) per 10 thousand inhabitants. Information about social inequalities comprised aspects such as income, population count, number of households, number of literate individuals, race, water and energy supply, and garbage collection. The Health Vulnerability Index (HVI) was used as a synthetic social vulnerability indicator. Results: Neighborhoods of food deserts presented worse essential service availability, lower income per capita, and smaller mean number of literate individuals. Census tracts classified as food swamps presented better sociodemographic conditions than those areas food deserts. Neighborhoods simultaneously classified as food deserts and food swamps presented lower income per capita and were more often observed in census sectors presenting medium and high HVI. Conclusion: The food environment in Belo Horizonte was featured by the strong presence of food deserts and food swamps. However, the potential influence of these areas on food intake has changed depending on social inequalities.
publishDate 2021
dc.date.issued.fl_str_mv 2021-07-21
dc.date.accessioned.fl_str_mv 2024-03-27T20:09:24Z
dc.date.available.fl_str_mv 2024-03-27T20:09:24Z
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 http://hdl.handle.net/1843/66688
dc.identifier.doi.pt_BR.fl_str_mv 10.1186/s12939-021-01501-7
dc.identifier.issn.pt_BR.fl_str_mv 1475-9276
identifier_str_mv 10.1186/s12939-021-01501-7
1475-9276
url http://hdl.handle.net/1843/66688
dc.language.iso.fl_str_mv eng
language eng
dc.relation.ispartof.pt_BR.fl_str_mv International Journal for Equity in Health
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Federal de Minas Gerais
dc.publisher.initials.fl_str_mv UFMG
dc.publisher.country.fl_str_mv Brasil
dc.publisher.department.fl_str_mv ENF - DEPARTAMENTO DE ENFERMAGEM MATERNO INFANTIL E SAÚDE PÚBLICA
ENF - DEPARTAMENTO DE NUTRIÇÃO
MED - DEPARTAMENTO DE GINECOLOGIA OBSTETRÍCIA
publisher.none.fl_str_mv Universidade Federal de Minas Gerais
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
bitstream.url.fl_str_mv https://repositorio.ufmg.br/bitstream/1843/66688/1/License.txt
https://repositorio.ufmg.br/bitstream/1843/66688/2/Social%20inequalities%20in%20the%20surrounding%20areas%20of%20food%20deserts%20and%20food%20swamps%20in%20a%20Brazilian%20metropolis.pdf
bitstream.checksum.fl_str_mv fa505098d172de0bc8864fc1287ffe22
e4f30e4f08cb335057a4d466731d8248
bitstream.checksumAlgorithm.fl_str_mv MD5
MD5
repository.name.fl_str_mv Repositório Institucional da UFMG - Universidade Federal de Minas Gerais (UFMG)
repository.mail.fl_str_mv
_version_ 1803589566649597952