Evidence map›Paper›PMID 35250075›Full record

ArticleJournal of food science and technology2022

Evaluating nutrition quality of packaged foods carrying claims and marketing techniques in Brazil using four nutrient profile models.

Rafaela Corrêa Pereira, João de Deus Souza Carneiro, Michel Cardoso de Angelis Pereira

Abstract read
In one paragraph

Article in Journal of food science and technology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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

  1. Pooled it
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  3. Article
  4. Article
  5. 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

3 authors.

Rafaela Corrêa PereiraDepartment of Agricultural Science, Federal Institute of Minas Gerais, Bambuí, MG Brazil.
João de Deus Souza CarneiroDepartment of Food Science, Federal University of Lavras, Lavras, MG Brazil.
Michel Cardoso de Angelis PereiraDepartment of Nutrition, Federal University of Lavras, PO box 3037, Lavras, MG 37200-900 Brazil.ORCID 0000-0001-9203-0036

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The present study aimed to evaluate the nutrient profile of packaged foods marketed in Brazil, giving insights into healthiness of the Brazilian supermarket packaged food environment, considering different food categories and levels of industrial food processing and presence of nutrition and health claims and marketing strategies. A cross-sectional survey was conducted on the labels of pre-packed foods marketed in a home-shopping website. A stratified random sample (n = 335) was obtained to be analysed by four nutrient profile models: Food Standards Australia New Zealand's Nutrient Profiling Scoring Criterion, UK Nutrient Profile from the Food Standards Agency, Nutrient profile model from Pan American Health Organization, and Nutrition Score from Unilever Food & Health Research (Unilever). Overall, the models shown agreement, besides some differences in the levels of approval. Ultra-processed foods were less healthy. Pass rates for products carrying nutrition and/or health claims have evidenced the presence of these claims may be indicative of slightly better nutritional quality. This did not apply for products with and without marketing techniques. These findings highlight the need for improvement of the supermarket packaged food environment in scenarios like Brazil by increasing efforts to reformulate products to make them healthier, together with appropriate food labelling regulation.

Indexed as

ClaimFood labellingFood marketingFood reformulationNutrient profile

Identifiers

PMID35250075
PMCPMC8882526

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.