Evidence map›Paper›PMID 32238154›Full record

ArticleBMC public health2020

Image-and-text health warning labels on alcohol and food: potential effectiveness and acceptability.

Emily Pechey, Natasha Clarke, Eleni Mantzari, Anna K M Blackwell, Katie De-Loyde, Richard W Morris, Theresa M Marteau, Gareth J Hollands

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 pooled it
4.9field-weighted citation impact, top 4% of its field
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

28 citing papers in PubMed, 1 synthesis or guideline pooled it, 57 citations in OpenAlex.

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  16. Nudging Interventions on Alcohol and Tobacco Consumption in Adults: A Scoping Review of the Literature.International journal of environmental research and public health · 2023
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  17. Article
  18. Article
  19. Alcohol Health Warning Labels: A Rapid Review with Action Recommendations.International journal of environmental research and public health · 2022
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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 at 2 institutions in 2 countries.

Emily PecheyBehaviour and Health Research Unit, Institute of Public Health, University of Cambridge, Forvie Site, Cambridge, CB2 0SR, UK.
Natasha ClarkeBehaviour and Health Research Unit, Institute of Public Health, University of Cambridge, Forvie Site, Cambridge, CB2 0SR, UK.
Eleni MantzariBehaviour and Health Research Unit, Institute of Public Health, University of Cambridge, Forvie Site, Cambridge, CB2 0SR, UK.
Anna K M BlackwellTobacco and Alcohol Research Group, University of Bristol, School of Psychological Science, Bristol, BS8 1TU, UK.
Katie De-LoydeTobacco and Alcohol Research Group, University of Bristol, School of Psychological Science, Bristol, BS8 1TU, UK.
Richard W MorrisBristol Medical School: Population Health Sciences, Canynge Hall, 39 Whatley Road, Bristol, BS8 2PS, UK.
Theresa M MarteauBehaviour and Health Research Unit, Institute of Public Health, University of Cambridge, Forvie Site, Cambridge, CB2 0SR, UK.
Gareth J HollandsBehaviour and Health Research Unit, Institute of Public Health, University of Cambridge, Forvie Site, Cambridge, CB2 0SR, UK. gareth.hollands@medschl.cam.ac.uk.ORCID http://orcid.org/0000-0002-0492-3924
University of Cambridge · GBUniversity of Bristol · GB

Funding

Wellcome TrustWellcome Trust 206853/Z/17/Z
6 · The paper itself

Abstract

backgroundHealth warning labels (HWLs) using images and text to depict the negative health consequences of tobacco consumption are effective and acceptable for changing smoking-related outcomes. There is currently limited evidence concerning their potential use for reducing consumption of alcoholic drinks and energy-dense foods. The aim of this research was to describe the potential effectiveness and acceptability of image-and-text (also known as pictorial or graphic) HWLs applied to: i. alcoholic drinks and ii. energy-dense snack foods.

methodsTwo online studies were conducted using between-subjects designs with general population samples. Participants rated one of 21 image-and-text HWLs on alcoholic drinks (n = 5528), or one of 18 image-and-text HWLs on energy-dense snacks (n = 4618). HWLs comprised a graphic image with explanatory text, depicting, respectively, seven diseases linked to excess alcohol consumption, and six diseases linked to excess energy intake. Diseases included heart disease and various cancers. Outcomes were negative emotional arousal, desire to consume the labelled product, and acceptability of the label. Free-text comments relating to HWLs were content analysed.

resultsFor both alcoholic drinks and energy-dense snacks, HWLs depicting bowel cancer generated the highest levels of negative emotional arousal and lowest desire to consume the product, but were the least acceptable. Acceptability was generally low for HWLs applied to alcohol, with 3 of 21 rated as acceptable, and was generally high for snacks, with 13 of 18 rated as acceptable. The majority of free-text comments expressed negative reactions to HWLs on alcohol or energy-dense snacks.

conclusionsImage-and-text health warning labels depicting bowel cancer showed greatest potential for reducing selection and consumption of alcoholic drinks and energy-dense snacks, although they were the least acceptable. Laboratory and field studies are needed to assess their impact on selection and consumption.

Indexed as

Alcohol DrinkingCommunicationDietSnacksAdultAlcoholic BeveragesAttitude to HealthEmotionsEnergy IntakeEthanolFast FoodsFeeding BehaviorFemaleFoodHumansMaleEthanolAlcoholCancerFoodGraphic health warning labelsImage-and-text warning labelsPictorial health warning labels

Identifiers

PMID32238154
PMCPMC7114781
OpenAlexW3014419512

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.