Evidence map›Paper›PMID 42524987›Full record

ArticleCadernos de saude publica2026

[Food insecurity in quilombola communities in Marajó, Brazilian Amazon: prevalence and associated factors].

Regiane Padilha Dos Santos, Victória Brioso Tavares, Maria Fernanda Brito de Matos, Socorro Castelo-Branco

Abstract readEnglish Abstract
In one paragraph

Article in Cadernos 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

4 authors.

Regiane Padilha Dos SantosUniversidade Federal do Pará, Belém, Brasil.ORCID http://orcid.org/0000-0003-0052-6005
Victória Brioso TavaresUniversidade Federal do Pará, Belém, Brasil.ORCID http://orcid.org/0000-0002-3568-1542
Maria Fernanda Brito de MatosUniversidade Federal do Pará, Belém, Brasil.ORCID http://orcid.org/0009-0000-6490-0268
Socorro Castelo-BrancoUniversidade Federal do Pará, Belém, Brasil.ORCID http://orcid.org/0000-0001-6283-0446

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to determine the prevalence of food insecurity in Marajoara quilombola communities and its associated factors. A cross-sectional, community-based, family-approach study was carried out with 434 families in Salvaterra, Marajó Island, Pará, Brazil, from June to July 2021. A household survey was carried out with a standardized questionnaire on sociodemographic data and the Brazilian Food Insecurity Scale. A multivariate logistic regression was used to analyze associated factors. Most quilombola families (88.9%) lied in food insecurity, 33.1% (n = 144) of whom in severe insecurity; 21.4% (n = 93), in moderate insecurity; and 34.3% (n = 149), in mild insecurity. The regression model showed that receiving no pension doubles the chance of mild food insecurity and multiplies moderate+severe insecurity by 5 times. Per capita family income below 1/5 or even 1/3 of the minimum wage increase the chance of moderate+severe insecurity by 9 and 9 times, respectively. Households in the B/C economic classification were 21% less likely to have moderate+severe insecurity than those with the D/E classification. Food insecurity had a high prevalence in quilombola families, with a preponderance of moderate+severe insecurity. Family income and its components configured the main factors associated with food insecurity.

Indexed as

Food InsecurityFood SupplyBrazilCross-Sectional StudiesFamily CharacteristicsFemaleHumansPrevalenceSociodemographic FactorsSocioeconomic FactorsSurveys and Questionnaires

Identifiers

PMID42524987
PMCPMC13404604

What OpenQuestion holds

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LicenceCC BY
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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.