Evidence map›Paper›PMID 32209067›Full record

ArticleBMC public health2020

Nutritional quality of foods and non-alcoholic beverages advertised on Brazilian free-to-air television: a cross-sectional study.

Fernanda Helena Marrocos Leite, Laís Amaral Mais, Camila Zancheta Ricardo, Giovanna Calixto Andrade, Julia Soares Guimarães, Rafael Moreira Claro, Ana Clara da Fonseca Leitão Duran, Ana Paula Bortoletto Martins

Abstract read
In one paragraph

Article in BMC public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
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  7. 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
  8. Article
  9. 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

8 authors.

Fernanda Helena Marrocos LeiteCenter for Epidemiological Research in Nutrition and Health (Nupens), University of São Paulo, Avenida Dr. Arnaldo, 715, São Paulo, Brazil. fernandahml@gmail.com.
Laís Amaral MaisBrazilian Institute for Consumer Defense (Idec), Rua Doutor Costa Júnior, 543, Água Branca, São Paulo, Brazil.
Camila Zancheta RicardoCenter for Epidemiological Research in Nutrition and Health (Nupens), University of São Paulo, Avenida Dr. Arnaldo, 715, São Paulo, Brazil.
Giovanna Calixto AndradeCenter for Epidemiological Research in Nutrition and Health (Nupens), University of São Paulo, Avenida Dr. Arnaldo, 715, São Paulo, Brazil.
Julia Soares GuimarãesHealth Sciences Department, University of Ottawa, 3-71 Rue Papineau, Gatineau, Quebec, Canada.
Rafael Moreira ClaroNutrition Department, Federal University of Minas Gerais, Avenida Alfredo Balena, 190, Belo Horizonte, Minas Gerais, Brazil.
Ana Clara da Fonseca Leitão DuranCenter for Epidemiological Research in Nutrition and Health (Nupens), University of São Paulo, Avenida Dr. Arnaldo, 715, São Paulo, Brazil.
Ana Paula Bortoletto MartinsCenter for Epidemiological Research in Nutrition and Health (Nupens), University of São Paulo, Avenida Dr. Arnaldo, 715, São Paulo, Brazil.

Funding

Bloomberg Philanthropies 5104695IDRC 108166-001
6 · The paper itself

Abstract

backgroundEvidence shows that foods marketed on television are often low-nutrient-dense foods associated with poor nutritional diet quality, obesity and non-communicable diseases. However, little research has been undertaken in Brazil around this issue. This study assessed the nutritional profile of foods and non-alcoholic beverages advertised on Brazilian television by applying the Pan American Health Organization (PAHO) and the World Health Organization (WHO/Europe) nutrient profiling models.

methodsCross-sectional study based on the International Network for Food and Obesity/non-communicable diseases Research, Monitoring and Action Support (INFORMAS) protocol. A total of 432 h on the three major Brazilian free-to-air TV channels was recorded from April 1st to 30th 2018. Recordings were done for eight non-consecutive and randomly selected days from 6 am to 12 am (midnight). All food-related ads were coded using a systematic approach and classified according to the PAHO and the WHO/Europe nutrient profile models as "eligible"/"not eligible" for marketing restrictions. Absolute and relative frequencies were used to describe absolute numbers and proportions of food and beverage advertisements. The nutritional profile of foods was compared by day, time of the day and types of TV program. For each advertisement, the parent company of promoted food products, supermarkets and restaurants was identified.

resultsA total of 1610 food and beverage ads were broadcast, representing 18.1% of the total ads shown on selected channels. Over 80.0% of all foods and beverages advertised on Brazilian TV channels did not meet the PAHO and the WHO/Europe nutritional quality standards and were considered eligible for marketing restrictions. The proportion of unhealthy food ads was significantly higher on weekends, in the afternoon, and during soap operas programming. Altogether, 10 transnational and local food and beverage companies, two large international fast food chains and two of Brazil's largest supermarket retailers accounted for almost 90% of all unhealthy food ads shown.

conclusionsThe findings of the present study indicate a high exposure of the Brazilian population to unhealthy food marketing and an inefficient enforcement of existing regulations. Further research to monitor population exposure to unhealthy food marketing and understand the policy inertia that is preventing policy progress, is highly recommended.

Indexed as

BeveragesFoodNutritive ValueTelevisionAdvertisingBrazilCross-Sectional StudiesHumansAdvertisingBrazilFoods and beveragesNutrient profiling modelTelevision

Identifiers

PMID32209067
PMCPMC7092551

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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.