Evidence map›Paper›PMID 33643813›Full record

ArticlePreventive medicine reports2021

Food marketing in supermarket circulars in Brazil: An obstacle to healthy eating.

Clarisse Mendes, Luíza Miranda, Rafael Claro, Paula Horta

Abstract read
In one paragraph

Article in Preventive medicine reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
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  5. Article
  6. Review
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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

4 authors.

Clarisse MendesUniversidade Federal de Minas Gerais, Brazil.
Luíza MirandaUniversidade Federal de Minas Gerais, Brazil.
Rafael ClaroUniversidade Federal de Minas Gerais, Brazil.
Paula HortaUniversidade Federal de Minas Gerais, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The study aims to characterize the foods advertised in supermarket circulars in Belo Horizonte, Brazil, as well as to analyze the price and discounts applied to the products. Supermarket circulars were obtained from five supermarket chains during 2018. Foods were classified according to the NOVA classification system and the Pan-American Health Organization (PAHO) nutritional profile model. Advertised prices, with and without discount, were recorded. Ultra-processed foods responded for 66.9% of ads, followed by fresh or minimally processed foods with 19.9%, processed foods with 9.5%, and processed culinary ingredients with 3.7%. Only 3.5% of the products did not exceed any critical nutrients of the PAHO model. Processed foods had a higher cost (R$3.27/100 g) in relation to other food categories. Products excessive in trans-fat and sodium were statistically significant cheaper when compared to those that did not present inadequacy of these nutrients. The reverse was verified for foods excessive in saturated fat, in total fat and in added sugars. Processed culinary ingredients were more frequent on sale (27.7%), while processed foods were the least advertised with discount (15.9%). Products that were adequate in saturated fat, trans fat, total fat and added sugar were statistically significant more announced with discount. Processed culinary ingredients presented the lowest percentage of discount (13.5%). The study confirms the position of supermarket circulars in Brazil as an obstacle to healthy eating, due to the higher incidence of processed and ultra-processed food advertisements, although no greater financial stimulus was noted for these products.

Indexed as

Food advertisingFood pricesSupermarketUltra-processed foods

Identifiers

PMID33643813
PMCPMC7887421

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.