Evidence map›Paper›PMID 41801642›Full record

ArticleJournal of racial and ethnic health disparities2026

Racial Inequalities in the Consumption of Unprocessed and Minimally Processed Foods among Brazilian Adults.

Risia Cristina Egito de Menezes, Giovana Longo-Silva, Juliana Souza Oliveira, Emilia Chagas Costa, Luiz Gonzaga Ribeiro Silva-Neto, Larissa de Lima Soares, Nathalia Barbosa de Aquino, Joice Alves Gaia, Ana Paula Grotti Clemente

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of racial and ethnic health disparities, 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

9 authors.

Risia Cristina Egito de MenezesPostgraduate Program in Nutrition, School of Nutrition (FANUT), Federal University of Alagoas (UFAL), Tabuleiro dos Martins, Maceió, Alagoas, Brasil. risia.menezes@fanut.ufal.br.ORCID http://orcid.org/0000-0003-1568-2836
Giovana Longo-SilvaPostgraduate Program in Nutrition, School of Nutrition (FANUT), Federal University of Alagoas (UFAL), Tabuleiro dos Martins, Maceió, Alagoas, Brasil.ORCID http://orcid.org/0000-0003-0776-0638
Juliana Souza OliveiraFederal University of Pernambuco, Vitória Academic Center, Federal University of Pernambuco, Vitória de Santo Antão, Brazil.ORCID http://orcid.org/0000-0003-1449-8930
Emilia Chagas CostaFederal University of Pernambuco, Vitória Academic Center, Federal University of Pernambuco, Vitória de Santo Antão, Brazil.ORCID http://orcid.org/0000-0002-7664-5994
Luiz Gonzaga Ribeiro Silva-NetoPaulista School of Medicine, Postgraduate Program in Nutrition,, Federal University of São Paulo (UNIFESP), São Paulo, São Paulo, Brasil.ORCID http://orcid.org/0000-0002-1003-9836
Larissa de Lima SoaresPostgraduate Program in Nutrition, School of Nutrition (FANUT), Federal University of Alagoas (UFAL), Tabuleiro dos Martins, Maceió, Alagoas, Brasil.ORCID http://orcid.org/0000-0002-5397-981X
Nathalia Barbosa de AquinoFederal University of Pernambuco, Vitória Academic Center, Federal University of Pernambuco, Vitória de Santo Antão, Brazil.ORCID http://orcid.org/0000-0002-0125-8084
Joice Alves GaiaPostgraduate Program in Nutrition, School of Nutrition (FANUT), Federal University of Alagoas (UFAL), Tabuleiro dos Martins, Maceió, Alagoas, Brasil.ORCID http://orcid.org/0000-0002-8470-9011
Ana Paula Grotti ClementePostgraduate Program in Nutrition, School of Nutrition (FANUT), Federal University of Alagoas (UFAL), Tabuleiro dos Martins, Maceió, Alagoas, Brasil.ORCID http://orcid.org/0000-0003-2315-5980

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Racial inequalities in Brazil are rooted in social and economic structures that shape dietary behaviors and access to foods. Consumption of unprocessed and minimally processed foods (UMPF) is a key indicator of dietary quality. This study examined racial disparities in UMPF consumption among Brazilian adults using data from the 2023 Vigitel survey, a nationally representative cross-sectional study of 20,383 adults aged ≥ 18 years in state capitals. Food intake, assessed via telephone interviews, included vegetables, raw salad, cooked vegetables, fruits, and beans. Two indicators were evaluated: regular consumption (≥ 5 days/week) and adherence to the recommended intake of fruits and vegetables (≥ 5 servings/day). Sociodemographic variables included race/skin color, sex, age, and education. Consumption patterns were explored using adjusted residuals and multiple correspondence analysis (MCA). Logistic regression models estimated odds ratios (ORs) and 95% confidence intervals (CIs) for racial differences. Regular UMPF consumption was generally low. White adults had higher odds of consuming vegetables, raw salad, cooked vegetables, and fruits, whereas black and mixed-race adults had higher odds of consuming beans. Adherence to the recommended intake of fruits and vegetables was low across all groups (white: 24.3%; black: 21.5%; mixed: 18.8%). MCA identified distinct racial consumption profiles. Adjusted regression models showed that black and mixed-race adults were less likely to consume most UMPF and more likely to consume beans than white adults. These findings highlight persistent racial disparities in healthy eating in Brazil and reinforce race as a critical social determinant of dietary patterns, supporting policies to promote equitable access to foods.

Indexed as

Correspondence analysisFood intakeRaceSocial inequityUnprocessed and minimally processed food

Identifiers

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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 Socratic graph.