Evidence map›Paper›PMID 40899156›Full record

ArticlePublic health nutrition2025

Mapping Advertising Assets Project: a cross-sectional analysis of food-related outdoor advertising and the relationship with deprivation in Leeds, UK.

Victoria L Jenneson, Imani Wilson, Francesca L Pontin, Charlotte E L Evans, Michelle A Morris

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. 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

5 authors.

Victoria L JennesonSchool of Food Science and Nutrition, University of Leeds, Woodhouse Lane, LeedsLS2 9JT, UK.ORCID 0000-0003-2468-8009
Imani WilsonSchool of Food Science and Nutrition, University of Leeds, Woodhouse Lane, LeedsLS2 9JT, UK.
Francesca L PontinLeeds Institute for Data Analytics, University of Leeds, Woodhouse Lane, LeedsLS2 9JT, UK.ORCID 0000-0002-7143-8718
Charlotte E L EvansSchool of Food Science and Nutrition, University of Leeds, Woodhouse Lane, LeedsLS2 9JT, UK.
Michelle A MorrisSchool of Food Science and Nutrition, University of Leeds, Woodhouse Lane, LeedsLS2 9JT, UK.ORCID 0000-0002-9325-619X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveFood environments can influence dietary behaviours. Promotion of foods high in fats, salt and sugars is a barrier to healthy eating. We explore advertising by deprivation in an English city.

designUsing a cross-sectional design, we describe the prevalence of outdoor advertising, the types of products advertised and the UK Nutrient Profile Modelling scores for advertised foods and non-alcoholic beverages. Differences in outdoor advertising prevalence by area deprivation were assessed using

settingSix areas in each of five deprivation strata were randomly selected from all 482 Leeds neighbourhoods (England) (

participantsEligible outdoor advertisement assets (intentionally placed permanent/semi-permanent advertisements visible from the street) were photographed in May-June 2023.

resultsA total of 295 outdoor advertising assets were recorded. The most deprived quintile had the highest number of advertising assets (

conclusionsFood advertising in Leeds is unequally distributed, with more food adverts in more deprived areas. Similar inequalities may exist in other cities, but data are scarce. Unhealthy adverts are most prevalent on bus shelters, highlighting an important asset for policy focus.

Indexed as

AdvertisingFoodCross-Sectional StudiesDiet, HealthyEnglandHumansResidence CharacteristicsUnited KingdomAdvertisingDiet behaviourFood advertisingFood environmentMarketingPolicy

Identifiers

PMID40899156
PMCPMC12516639

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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.