Evidence map›Paper›PMID 32515717›Full record

ArticlePublic health nutrition2021

Role of different nutrient profiling models in identifying targeted foods for front-of-package food labelling in Brazil.

Ana Clara Duran, Camila Zancheta Ricardo, Laís Amaral Mais, Ana Paula Bortoletto Martins

Abstract read
In one paragraph

Article in Public health nutrition, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

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  20. Food environment solutions for childhood obesity in Latin America and among Latinos living in the United States.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2021
    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

4 authors.

Ana Clara DuranCenter for Food Studies and Research (NEPA), University of Campinas, Campinas, SP13083-852, Brazil.ORCID 0000-0001-7317-5790
Camila Zancheta RicardoCenter for Epidemiological Studies in Nutrition and Health (NUPENS), University of Sao Paulo, Sao Paulo01246-904, Brazil.
Laís Amaral MaisBrazilian Institute for Consumer Defense (IDEC), Sao Paulo, SP05002-050, Brazil.
Ana Paula Bortoletto MartinsBrazilian Institute for Consumer Defense (IDEC), Sao Paulo, SP05002-050, Brazil.

Funding

UNC CLINICAL AND TRANSLATIONAL SCIENCE AWARD: BPCAUL1RR025747 · NCRR · UNIV OF NORTH CAROLINA CHAPEL HILL · PI RUNGE, MARSCHALL S. · 2008 to 2011
$44.6M
NCRR NIH HHS UL1 RR025747
6 · The paper itself

Abstract

objectiveTo compare the degree of strictness and agreement of different nutrient profiling models (NPM) used to identify which foods would be required to show front-of-package (FOP) warning labels.

designUsing data of 11 434 packaged foods found in the five largest food retailers in Brazil, we used two published NPM: the Pan American Health Organization (PAHO) model and the NPM used in the Chilean nutritional FOP labelling policy, and compared them with a NPM proposed by the Brazilian National Health Surveillance Agency (Anvisa). The proportion of foods that would be required to show FOP warning labels was calculated overall and by food category. We also tested whether a modified version of the PAHO NPM would behave similarly to the original version.

settingBrazil.

resultsTwo-thirds of the packaged products (62 %) would receive FOP warning labels under the PAHO NPM, as compared with 45 % of products using the proposed Anvisa NPM and 41 % if the Chilean NPM was applied. The PAHO NPM identified more foods high in critical nutrients such as sweetened dairy and non-dairy beverages, canned vegetables and convenience foods. Overall agreement between models was considered good with kappa coefficient ranging from 0·57 to 0·92 but was lower for some food categories.

conclusionsWe found variations in the degree of strictness and agreement between assessed NPM. The PAHO NPM identified more foods and beverages high in sugar which are among the top contributors to sugar and energy intake in Brazil.

Indexed as

Fast FoodsFood LabelingBrazilHumansNutrientsNutritive ValueNutrientsFood supplyLabellingNutrient profilingPackaged foodsProcessed foods

Identifiers

PMID32515717
PMCPMC8025091

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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.