Evidence map›Paper›PMID 34289857›Full record

ArticleInternational journal for equity in health2021

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

Olivia Souza Honório, Milene Cristine Pessoa, Lucia Helena Almeida Gratão, Luana Lara Rocha, Inês Rugani Ribeiro de Castro, Daniela Silva Canella, Paula Martins Horta, Larissa Loures Mendes

Abstract read
In one paragraph

Article in International journal for equity in health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Associations between food deserts, food swamps, and ultra-processed food intake in childhood.Revista paulista de pediatria : orgao oficial da Sociedade de Pediatria de Sao Paulo · 2026
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  12. Neighborhood Vulnerability and the Consumer Food Environment in an Urban Area.International journal of environmental research and public health · 2025
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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

8 authors.

Olivia Souza HonórioDepartamento de Nutrição, Universidade Federal de Minas Gerais, Avenida Professor Alfredo Balena,190, Santa Efigênia, Belo Horizonte, 30130-090, Brazil.
Milene Cristine PessoaDepartamento de Nutrição, Universidade Federal de Minas Gerais, Avenida Professor Alfredo Balena,190, Santa Efigênia, Belo Horizonte, 30130-090, Brazil.
Lucia Helena Almeida GratãoFaculdade de Medicina, Universidade Federal de Minas Gerais, Avenida Professor Alfredo Balena,190, Santa Efigênia, Belo Horizonte, 30130-090, Brazil.
Luana Lara RochaFaculdade de Medicina, Universidade Federal de Minas Gerais, Avenida Professor Alfredo Balena,190, Santa Efigênia, Belo Horizonte, 30130-090, Brazil.
Inês Rugani Ribeiro de CastroUniversidade do Estado do Rio de Janeiro, Instituto de Nutrição, Rua São Francisco Xavier,524,Maracanã, Rio de Janeiro, 20550-170, Brazil.
Daniela Silva CanellaUniversidade do Estado do Rio de Janeiro, Instituto de Nutrição, Rua São Francisco Xavier,524,Maracanã, Rio de Janeiro, 20550-170, Brazil.
Paula Martins HortaDepartamento de Nutrição, Universidade Federal de Minas Gerais, Avenida Professor Alfredo Balena,190, Santa Efigênia, Belo Horizonte, 30130-090, Brazil.
Larissa Loures MendesDepartamento de Nutrição, Universidade Federal de Minas Gerais, Avenida Professor Alfredo Balena,190, Santa Efigênia, Belo Horizonte, 30130-090, Brazil. larissa.mendesloures@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFood 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.

methodsEcological 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.

resultsNeighborhoods 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 socio-demographic 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.

conclusionThe 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.

Indexed as

Food DesertsFood SupplyResidence CharacteristicsBrazilCitiesHumansSocioeconomic FactorsFood DesertFood environmentFood swampPublic policySocial inequalities

Identifiers

PMID34289857
PMCPMC8293554

What OpenQuestion holds

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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.