Evidence map›Paper›PMID 42484265›Full record

ArticleRevista de saude publica2026

Food environment in Brazil: food deserts and food swamps in large urban cities.

Giovani William Gianetti, Mariana Giannotti, Gabriel Caldeira, Naila Takahashi, Cláudia Roberta Bocca Santos, Ariene Silva do Carmo, Rodrigo Fernando Maule, Gisele Ane Bortolini, Ronaldo Torres, Rogério de S Nóia-Júnior and 5 more

Abstract read
In one paragraph

Article in Revista de saude publica, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Giovani William GianettiUniversidade de São Paulo. Instituto para Governança Territorial e Políticas Públicas. Piracicaba, SP, Brasil.ORCID http://orcid.org/0000-0002-5242-8450
Mariana GiannottiUniversidade de São Paulo. Escola Politécnica. São Paulo, SP, Brasil.ORCID http://orcid.org/0000-0002-7024-8015
Gabriel CaldeiraCentro de Estudos da Metrópole. São Paulo, SP, Brasil.ORCID http://orcid.org/0000-0002-3268-1520
Naila TakahashiUniversidade de São Paulo. Instituto para Governança Territorial e Políticas Públicas. Piracicaba, SP, Brasil.ORCID http://orcid.org/0009-0004-3122-6229
Cláudia Roberta Bocca SantosMinistério do Desenvolvimento e Assistência Social, Família e Combate à Fome. Secretaria Nacional de Segurança Alimentar e Nutricional. Brasília, DF, Brasil.ORCID http://orcid.org/0000-0002-4312-3049
Ariene Silva do CarmoUniversidade Federal de Ouro Preto. Departamento de Nutrição Clínica e Social. Ouro Preto, MG, Brasil.ORCID http://orcid.org/0000-0002-3421-9495
Rodrigo Fernando MauleUniversidade de São Paulo. Instituto para Governança Territorial e Políticas Públicas. Piracicaba, SP, Brasil.ORCID http://orcid.org/0000-0002-7928-8769
Gisele Ane BortoliniMinistério do Desenvolvimento e Assistência Social, Família e Combate à Fome. Secretaria Nacional de Segurança Alimentar e Nutricional. Brasília, DF, Brasil.ORCID http://orcid.org/0000-0002-7830-9134
Ronaldo TorresUniversidade de São Paulo. Instituto para Governança Territorial e Políticas Públicas. Piracicaba, SP, Brasil.ORCID http://orcid.org/0000-0002-5295-7969
Rogério de S Nóia-JúniorUniversidade de São Paulo. Instituto para Governança Territorial e Políticas Públicas. Piracicaba, SP, Brasil.ORCID http://orcid.org/0000-0002-4096-7588
Bruna Pitasi ArguelhesMinistério do Desenvolvimento e Assistência Social, Família e Combate à Fome. Secretaria Nacional de Segurança Alimentar e Nutricional. Brasília, DF, Brasil.ORCID http://orcid.org/0000-0002-0359-1905
Patrícia Chaves GentilMinistério do Desenvolvimento e Assistência Social, Família e Combate à Fome. Secretaria Nacional de Segurança Alimentar e Nutricional. Brasília, DF, Brasil.ORCID http://orcid.org/0000-0002-4753-2608
Lilian Rahal Dos SantosMinistério do Desenvolvimento e Assistência Social, Família e Combate à Fome. Secretaria Nacional de Segurança Alimentar e Nutricional. Brasília, DF, Brasil.ORCID http://orcid.org/0009-0006-3601-7404
Márcia MuchagataMinistério do Desenvolvimento e Assistência Social, Família e Combate à Fome. Secretaria Nacional de Segurança Alimentar e Nutricional. Brasília, DF, Brasil.ORCID http://orcid.org/0000-0002-5376-3058
Sergio Paganini MartinsUniversidade de São Paulo. Instituto para Governança Territorial e Políticas Públicas. Piracicaba, SP, Brasil.ORCID http://orcid.org/0009-0009-0137-4040

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo assess the availability of healthy and unhealthy food establishments in Brazil and, thereby, map food deserts and food swamps. To analyze maps of food deserts and food swamps in conjunction with indicators of social inequality.

methodsData from the Relação Anual de Informações Sociais (RAIS, 2022), integrated with consumption profiles from the Pesquisa de Orçamentos Familiares (POF, 2017-2018), were used to classify establishments according to the Dietary Guidelines for the Brazilian Population. At the municipal level, the density of establishments with healthy and unhealthy profiles was estimated for Brazilian municipalities. At the intramunicipal level, food deserts and food swamps were identified in urban municipalities with more than 300,000 inhabitants, by cross-referencing the results with income indicators from the Cadastro Único.

resultsAt the municipal level, it was observed that the North and Northeast regions concentrate most municipalities with low densities of healthy establishments, while the South and Southeast have higher densities of unhealthy establishments. At the intramunicipal level, approximately 25 million people reside in food deserts, corresponding to 32.3% of the population of the 91 municipalities analyzed, and approximately 15 million live in food swamps (19% of the population). Among individuals in the Cadastro Único with a per capita income below half the minimum wage, 38% live in food deserts and 10% in food swamps.

conclusionThe results highlight the overlap between socioeconomic vulnerability and adverse food environments, reinforcing the urgency of public policies aimed at regulating the food environment, strengthening public food supply infrastructure, and promoting territorial equity in access to healthy foods.

Indexed as

Food DesertsFood SupplyBrazilCitiesHumansSocioeconomic FactorsUrban Population

Identifiers

PMID42484265
PMCPMC13379222

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.