Evidence map›Paper›PMID 38257094›Full record

ArticleNutrients2024

Food and Consumers' Environment Inside and around Federal Public Schools in Bahia, Brazil.

Fabiana Chagas Oliveira de França, Renata Puppin Zandonadi, Ívenes Ariele da Silva Santana, Izabel Cristina Rodrigues da Silva, Rita de Cassia Coelho de Almeida Akutsu

Abstract read
In one paragraph

Article in Nutrients, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

5 authors.

Fabiana Chagas Oliveira de FrançaNutrition School, Federal University of Bahia-Augusto Viana, s/n-Palácio da Reitoria, Canela, Salvador 40110-907, Brazil.
Renata Puppin ZandonadiDepartment of Nutrition, University of Brasilia, Brasilia 70910-900, Brazil.ORCID 0000-0003-0370-3089
Ívenes Ariele da Silva SantanaNutrition School, Federal University of Bahia-Augusto Viana, s/n-Palácio da Reitoria, Canela, Salvador 40110-907, Brazil.
Izabel Cristina Rodrigues da SilvaFaculty of Ceilândia, University of Brasília, Brasília 72220-275, Brazil.ORCID 0000-0002-6836-3583
Rita de Cassia Coelho de Almeida AkutsuNutrition School, Federal University of Bahia-Augusto Viana, s/n-Palácio da Reitoria, Canela, Salvador 40110-907, Brazil.ORCID 0000-0003-0699-7617

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The food environment plays a crucial role in shaping people's eating habits and, in and around schools, this influence becomes even more critical due to the time students spend daily in these spaces. This study aimed to analyze the food and consumer environments inside and around federal institutes in Bahia, Brazil. Ecological study and audit methodologies were combined, with all the 35 federal institutes in Bahia as the sample universe. To delimit the food environment around the school, the establishments were mapped in a 1000 m buffer, with the school as the centroid. The geographic coordinates of schools and food outlets were initially obtained using Google Maps and later confirmed on-site. The data were collected in WGS 84 and converted to UTM zone 23S SIRGAS 2000. To map the consumer environment, establishments found in a 250 m buffer and also canteens within schools were audited, using the ESAO-r instrument that considers the availability and prices of healthy and unhealthy foods; availability of nutritional information near the point of purchase or on the menu; and presence of internal marketing of healthy and unhealthy foods. The healthy meal-restaurant index (HMRI) was also measured. This index ranges from 0 to 8 points and positively scores items related to healthy consumption and fails to score those related to unhealthy consumption and behavior. The establishments were grouped into four categories (healthy, unhealthy, mixed, and supermarkets). The surrounding area with four or more unhealthy establishments within the 250 m buffer was considered a food swamp. Descriptive analyses were carried out with frequency measurements, measures of central tendency (mean and median), and dispersion (standard deviation). Around the analyzed schools, 732 food establishments were identified, 73.8% (

Indexed as

MealsSchoolsBrazilFruitHumansVegetablesconsumer environmentESAO-Rfood environmentHMRIschool canteen

Identifiers

PMID38257094
PMCPMC10821399

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.