Evidence map›Paper›PMID 40205675›Full record

ArticlePublic health nutrition2025

Food and drink advertising along school children's transport routes in Victoria, Australia and policy implications.

Sherly X Li, Claire Hardi, Rebecca Godwin, Rachael Jinnette, Belinda Morley, Helen Dixon, Jane Martin

Abstract read
In one paragraph

Article in Public health nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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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

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Sherly X LiPrevention Division, Cancer Council Victoria, Melbourne, VIC, Australia.ORCID 0000-0002-7840-4051
Claire HardiPrevention Division, Cancer Council Victoria, Melbourne, VIC, Australia.
Rebecca GodwinCentre for Behavioural Research in Cancer, Cancer Council Victoria, Melbourne, VIC, Australia.
Rachael JinnetteCentre for Behavioural Research in Cancer, Cancer Council Victoria, Melbourne, VIC, Australia.
Belinda MorleyCentre for Behavioural Research in Cancer, Cancer Council Victoria, Melbourne, VIC, Australia.
Helen DixonCentre for Behavioural Research in Cancer, Cancer Council Victoria, Melbourne, VIC, Australia.ORCID 0000-0002-5365-9605
Jane MartinPrevention Division, Cancer Council Victoria, Melbourne, VIC, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo examine the extent and nature of food and non-alcoholic drink advertising displayed on public transport and infrastructure on school routes.

designAudit of outdoor advertisements on government-controlled public transport and associated infrastructure (e.g. tram shelters, bus stops) on busy school routes in Victoria, Australia. Using a strict protocol, trained field workers collected data on the type and content of outdoor advertising during February 2023 (start of school year). Food/drink advertising was classified (unhealthy or healthy) according to the Council of Australian Governments Health Council National interim guide to reduce children's exposure to unhealthy food and drink promotion (2018).

settingGovernment-controlled buses, trams and public transport infrastructure on routes from eleven of the busiest train stations in metropolitan Melbourne and regional Victoria, Australia to fifty public primary and secondary schools. Stations were chosen based on annual patronage, area-based socio-economic area (SEA) and regionality).

results156 out of 888 advertisements were for food and non-alcoholic drinks. Of these, almost six in ten (58 %) were deemed unhealthy irrespective of SEA or regionality. Marketing appeals most featured were taste (31 %), convenience (28 %) and emotion (9 %). A significantly higher proportion of unhealthy advertisements were displayed within 500 m of schools

conclusionGiven the detrimental impacts of exposure to unhealthy food/drink advertising on children's diets, the pervasive, powerful presence of such advertising across government public transport assets, particularly around schools, contradicts public health recommendations to protect children from exposure to and influence by this harmful marketing and warrants government action.

Indexed as

AdvertisingBeveragesFoodNutrition PolicySchoolsTransportationChildHumansMarketingVictoriaChildrenFood and drink marketingOutdoor food and drink advertising

Identifiers

PMID40205675
PMCPMC12171914

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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.