Evidence map›Paper›PMID 27628488›Full record

ArticleInternational journal of public health2016

Television food advertising to children in Slovenia: analyses using a large 12-month advertising dataset.

Živa Korošec, Igor Pravst

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Article in International journal of public health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Global benchmarking of children's exposure to television advertising of unhealthy foods and beverages across 22 countries.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2019
    Article
  6. Identifying food marketing to teenagers: a scoping review.The international journal of behavioral nutrition and physical activity · 2019
    Article
  7. Article
  8. 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

2 authors.

Živa KorošecNutrition Institute, Tržaška cesta 40, 1000, Ljubljana, Slovenia.
Igor PravstNutrition Institute, Tržaška cesta 40, 1000, Ljubljana, Slovenia. igor.pravst@nutris.org.ORCID http://orcid.org/0000-0001-8634-1778

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe marketing of energy-dense foods is recognised as a probable causal factor in children's overweight and obesity. To stimulate policymakers to start using nutrient profiling to restrict food marketing, a harmonised model was recently proposed by the WHO. Our objective is to evaluate the television advertising of foods in Slovenia using the above-mentioned model.

methodsAn analysis is performed using a representative dataset of 93,902 food-related advertisements broadcast in Slovenia in year 2013. The advertisements are linked to specific foods, which are then subject to categorisation according to the WHO and UK nutrient profile model.

resultsAdvertising of chocolate and confectionery represented 37 % of food-related advertising in all viewing times, and 77 % in children's (4-9 years) viewing hours. During these hours, 96 % of the food advertisements did not pass the criteria for permitted advertising according to the WHO profile model.

conclusionsEvidence from Slovenia shows that, in the absence of efficient regulatory marketing restrictions, television advertising of food to children is almost exclusively linked to energy-dense foods. Minor modifications of the proposed WHO nutrient profile model are suggested.

Indexed as

AdolescentAdvertisingBeveragesCandyChildChild, PreschoolChocolateFoodHumansSloveniaSnacksTelevisionTime FactorsWorld Health OrganizationChildrenFood advertisingMarketingNutrient profileRegulationTelevision

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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.