Evidence map›Paper›PMID 41272647›Full record

ArticleBMC public health2025

Public opinion on policy interventions for regulating four unhealthy commodity industries: a cross-sectional online survey of a representative sample of British adults 2023.

Emily Reed, Vera Buss, Corrina Bebbington, Laura Bunce, Hazel Cheeseman, Katherine Severi, Katharine Jenner, Jeff Collin

Abstract read
In one paragraph

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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Emily ReedAction on Smoking and Health, Unit 2.9, The Foundry, 17 Oval Way, London, SE11 5RR, United Kingdom.ORCID http://orcid.org/0009-0005-4197-7779
Vera BussUniversity College London, Gower Street, London, WC1E 6BT, United Kingdom.ORCID http://orcid.org/0000-0001-9963-8693
Corrina BebbingtonAction on Smoking and Health, Unit 2.9, The Foundry, 17 Oval Way, London, SE11 5RR, United Kingdom.ORCID http://orcid.org/0009-0002-6676-353X
Laura BunceAction on Smoking and Health, Unit 2.9, The Foundry, 17 Oval Way, London, SE11 5RR, United Kingdom.ORCID http://orcid.org/0009-0008-3114-8485
Hazel CheesemanAction on Smoking and Health, Unit 2.9, The Foundry, 17 Oval Way, London, SE11 5RR, United Kingdom.ORCID http://orcid.org/0009-0007-6119-6405
Katherine SeveriSPECTRUM Consortium, Usher Institute, The University of Edinburgh, 5-7 Little France Road, Edinburgh BioQuarter - Gate 3, Edinburgh, EH16 4UX, United Kingdom.ORCID http://orcid.org/0000-0002-4282-0272
Katharine JennerObesity Health Alliance, London, United Kingdom.ORCID http://orcid.org/0009-0009-4272-4078
Jeff CollinSPECTRUM Consortium, Usher Institute, The University of Edinburgh, 5-7 Little France Road, Edinburgh BioQuarter - Gate 3, Edinburgh, EH16 4UX, United Kingdom. jeff.collin@ed.ac.uk.ORCID http://orcid.org/0000-0003-0874-8892

Funding

UK Prevention Research Partnership MR/S037519/1
6 · The paper itself

Abstract

backgroundTobacco, alcohol, unhealthy food and drink, and gambling are all unhealthy commodity industries which have profound public health consequences. The tactics of these industries intending to undermine policies and scientific evidence are often similar. To counter this, greater coherence in regulatory response is needed within, and across, policy spheres. Understanding public opinion is key in this context.

objectivesThis study assessed public support for policies targeting unhealthy commodities and factors associated with support, including sociodemographic features, current smoking, excess alcohol consumption, obesity and daily gambling.

designAcross-sectional design, where anonymous data was drawn from the annually commissioned Action on Smoking and Health Smokefree British survey conducted online between 22

participants12,271 British adults, invited to participate from the online YouGov panel. Weighted by sociodemographic characteristics to be representative of British adults. OUTCOME MEASURES: Percentage support for policies to reduce harm from unhealthy commodities; and associations between the level of support, sociodemographic features, and exposure to unhealthy commodities. ANALYSIS: Missing data were imputed using multiple imputations and data were weighted to match the British population. The degree of public support for policies were descriptively assessed and associations between this support, sociodemographic characteristics and the harmful consumption of unhealthy commodities, were measured using logistic regression. MAIN

findingsRespondents strongly supported measures targeting industry interactions with government, and the majority believed that public health policy should be protected from industry influence (69.8% for alcohol, 75.6% for gambling, 75.0% for tobacco and 68.2% for unhealthy food and drinks manufacturers). There was also majority support for industry levies (77.1% for tobacco, 74.2% for gambling, 61.9% for alcohol, 59.5% for unhealthy food and drink), however, taxation and advertising bans received more mixed responses. Some sociodemographic factors (age and social grade) and exposure to some unhealthy commodities (current smoking, alcohol intake >14 units per week, daily gambling) were associated with differential levels of support for public health policies. However, sex and obesity did not have meaningful associations.

conclusionThe public are generally supportive of public health policies to reduce harm from tobacco, alcohol, gambling and unhealthy food and drink.

Indexed as

Health PolicyPublic OpinionAdolescentAdultAgedAlcohol DrinkingCross-Sectional StudiesFemaleGamblingHumansMaleMiddle AgedObesitySmokingSurveys and QuestionnairesUnited KingdomAlcoholGamblingIndustryPublic health policyTobaccoUnhealthy food and drink

Identifiers

PMID41272647
PMCPMC12754964

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.