Evidence map›Paper›PMID 38680070›Full record

ArticlePublic health nutrition2024

Comparison of ten policy options to equitably reduce children's exposure to unhealthy food marketing.

Ryan Gage, Wei Liu, Amber L Pearson, Moira Smith, Michelle Barr, Ashton Shortridge, Louise Signal

Abstract readComparative Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Public health nutrition, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Ryan GageDepartment of Public Health, University of Otago, Wellington, 6242, New Zealand.
Wei LiuDepartment of Geography, Environment and Spatial Sciences, Michigan State University, East Lansing, MI48824, USA.ORCID 0000-0002-7995-0783
Amber L PearsonDepartment of Public Health, University of Otago, Wellington, 6242, New Zealand.
Moira SmithDepartment of Public Health, University of Otago, Wellington, 6242, New Zealand.
Michelle BarrDepartment of Public Health, University of Otago, Wellington, 6242, New Zealand.
Ashton ShortridgeDepartment of Geography, Environment and Spatial Sciences, Michigan State University, East Lansing, MI48824, USA.
Louise SignalDepartment of Public Health, University of Otago, Wellington, 6242, New Zealand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveReducing children's exposure to unhealthy food marketing is crucial to combat childhood obesity. We aimed to estimate the reduction of children's exposure to food marketing under different policy scenarios and assess exposure differences by socio-economic status.

designData on children's exposure to unhealthy food marketing were compiled from a previous cross-sectional study in which children (

settingWellington region of New Zealand.

participants168 children aged 11-14 years.

resultsExposure to food marketing varied by setting, marketing medium and product category. Among the ten policy scenarios, the largest reductions were for plain packaging (60·3 %), no sugary drink marketing (28·8 %) and no marketing in public spaces (22·2 %). There were no differences by socio-economic deprivation.

conclusionsThe results suggest that plain packaging would result in the greatest decrease in children's exposure to food marketing. However, given that children are regularly exposed to unhealthy food marketing in multiple settings through a range of marketing mediums, comprehensive bans are needed to protect children's health.

Indexed as

MarketingNutrition PolicyAdolescentChildCross-Sectional StudiesFemaleFood IndustryFood PackagingHumansMaleNew ZealandPediatric ObesitySchoolsSocioeconomic FactorsChildrenFood advertisingFood marketingHealth policyObesity

Identifiers

PMID38680070
PMCPMC11112427

What OpenQuestion holds

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LicenceCC BY
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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.