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Please use this identifier to cite or link to this item: http://hdl.handle.net/1843/66688
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dc.creatorOlivia Souza Honóriopt_BR
dc.creatorMilene Cristine Pessoapt_BR
dc.creatorLúcia Helena Almeida Gratãopt_BR
dc.creatorLuana Lara Rochapt_BR
dc.creatorInês Rugani Ribeiro de Castropt_BR
dc.creatorDaniela Silva Canellapt_BR
dc.creatorPaula Martins Hortapt_BR
dc.creatorLarissa Loures Mendespt_BR
dc.date.accessioned2024-03-27T20:09:24Z-
dc.date.available2024-03-27T20:09:24Z-
dc.date.issued2021-07-21-
dc.citation.volume20pt_BR
dc.citation.issue168pt_BR
dc.citation.spage1pt_BR
dc.citation.epage8pt_BR
dc.identifier.doi10.1186/s12939-021-01501-7pt_BR
dc.identifier.issn1475-9276pt_BR
dc.identifier.urihttp://hdl.handle.net/1843/66688-
dc.description.resumoBackground: 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.pt_BR
dc.format.mimetypepdfpt_BR
dc.languageengpt_BR
dc.publisherUniversidade Federal de Minas Geraispt_BR
dc.publisher.countryBrasilpt_BR
dc.publisher.departmentENF - DEPARTAMENTO DE ENFERMAGEM MATERNO INFANTIL E SAÚDE PÚBLICApt_BR
dc.publisher.departmentENF - DEPARTAMENTO DE NUTRIÇÃOpt_BR
dc.publisher.departmentMED - DEPARTAMENTO DE GINECOLOGIA OBSTETRÍCIApt_BR
dc.publisher.initialsUFMGpt_BR
dc.relation.ispartofInternational Journal for Equity in Healthpt_BR
dc.rightsAcesso Abertopt_BR
dc.subject.otherDesertos Alimentarespt_BR
dc.subject.otherFatores Socioeconômicospt_BR
dc.subject.otherAlimentação no Contexto Urbanopt_BR
dc.subject.otherPolítica Públicapt_BR
dc.subject.otherCaracterísticas da Vizinhançapt_BR
dc.titleSocial inequalities in the surrounding areas of food deserts and food swamps in a brazilian metropolispt_BR
dc.typeArtigo de Periódicopt_BR
dc.url.externahttps://equityhealthj.biomedcentral.com/articles/10.1186/s12939-021-01501-7#availability-of-data-and-materialspt_BR
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