Evidence map›Paper›PMID 40197918›Full record

ArticleEpidemiologia e servicos de saude : revista do Sistema Unico de Saude do Brasil2025

Food purchasing places classification system based on the Dietary Guidelines for the Brazilian Population: Locais-Nova.

Marcos Anderson Lucas da Silva, Larissa Loures Mendes, Maria Alvim Leite, Luana Lara Rocha, Camila Aparecida Borges, Renata Bertazzi Levy, Maria Laura da Costa Louzada

Abstract read
In one paragraph

Article in Epidemiologia e servicos de saude : revista do Sistema Unico de Saude do Brasil, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Territorial inequalities in the food environment of Brazilian metropolitan regions.Revista brasileira de epidemiologia = Brazilian journal of epidemiology · 2026
    Article
  4. Review
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

7 authors.

Marcos Anderson Lucas da SilvaUniversidade de São Paulo, Faculdade de Saúde Pública, Programa de Pós-Graduação em Nutrição em Saúde Pública, São Paulo, SP, Brazil.ORCID http://orcid.org/0000-0001-9782-2606
Larissa Loures MendesUniversidade Federal de Minas Gerais, Escola de Enfermagem, Programa de Pós-graduação em Saúde Pública, Belo Horizonte, MG, Brazil.ORCID http://orcid.org/0000-0001-9355-3066
Maria Alvim LeiteUniversidade de São Paulo, Núcleo de Pesquisas Epidemiológicas em Nutrição e Saúde, São Paulo, SP, Brazil.ORCID http://orcid.org/0000-0002-2774-7126
Luana Lara RochaUniversidade Federal de Minas Gerais, Escola de Enfermagem, Programa de Pós-graduação em Saúde Pública, Belo Horizonte, MG, Brazil.ORCID http://orcid.org/0000-0002-5963-6033
Camila Aparecida BorgesUniversidade de São Paulo, Núcleo de Pesquisas Epidemiológicas em Nutrição e Saúde, São Paulo, SP, Brazil.ORCID http://orcid.org/0000-0002-1743-2315
Renata Bertazzi LevyUniversidade de São Paulo, Núcleo de Pesquisas Epidemiológicas em Nutrição e Saúde, São Paulo, SP, Brazil.ORCID http://orcid.org/0000-0001-5388-7002
Maria Laura da Costa LouzadaUniversidade de São Paulo, Faculdade de Saúde Pública, Programa de Pós-Graduação em Nutrição em Saúde Pública, São Paulo, SP, Brazil.ORCID http://orcid.org/0000-0002-3756-2301

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo propose a new classification system for food purchasing places (Locais-Nova) based on the Dietary Guidelines for the Brazilian Population.

methodsWe used 2017-2018 Brazilian Household Budgets Survey data on household food purchasing. Foods were categorized, according to the Nova classification, into unprocessed or minimally processed food, processed culinary ingredients, processed foods and ultra-processed foods. We estimated the average share of each Nova classification group in the total of grams acquired in Brazil. This estimate was compared with the average share of each Nova classification group in each of the 16 purchasing places assessed. Places were classified as "purchasing sources" for a specific Nova classification group whenever that group's share a given place was equal to or greater than the national average.

resultsLocais-Nova identified three categories of purchasing places: sources of unprocessed or minimally processed food and processed culinary ingredients, sources of processed foods and sources of ultra-processed foods. Fruits, vegetables, and farm products and butcher shops stood out as the main sources of unprocessed or minimally processed food; minimarkets and grocery stores were the main sources of ultra-processed foods; and bakeries and confectionaries, stood out as sources of processed and ultra-processed foods. Supermarkets were classified as sources of unprocessed or minimally processed food and ultra-processed foods.

conclusionThis study presented an innovative classification of food purchasing places. This reflected the recommendations of the Dietary Guidelines for the Brazilian Population and made it possible to understand food purchasing patterns in different types of purchasing places.

Indexed as

CommerceConsumer BehaviorDietFoodNutrition PolicyBrazilFamily CharacteristicsHumans

Identifiers

PMID40197918
PMCPMC11998909

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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.