Evidence map›Paper›PMID 33169443›Full record

Trial reportAddiction (Abingdon, England)2021

Effect of alcohol label designs with different pictorial representations of alcohol content and health warnings on knowledge and understanding of low-risk drinking guidelines: a randomized controlled trial.

Natalie Gold, Mark Egan, Kristina Londakova, Abigail Mottershaw, Hugo Harper, Robyn Burton, Clive Henn, Maria Smolar, Matthew Walmsley, Rohan Arambepola and 3 more

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Addiction (Abingdon, England), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Trial
  2. Article
  3. Review
  4. Review
  5. Alcohol Health Warning Labels: A Rapid Review with Action Recommendations.International journal of environmental research and public health · 2022
    Review
  6. Review
  7. 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

13 authors.

Natalie GoldPublic Health England, London, UK.ORCID 0000-0003-0706-1618
Mark EganBehavioural Insights Team, London, UK.
Kristina LondakovaBehavioural Insights Team, London, UK.
Abigail MottershawBehavioural Insights Team, London, UK.ORCID 0000-0002-9434-2137
Hugo HarperBehavioural Insights Team, London, UK.
Robyn BurtonPublic Health England, London, UK.ORCID 0000-0003-1684-5238
Clive HennPublic Health England, London, UK.
Maria SmolarPublic Health England, London, UK.
Matthew WalmsleyPublic Health England, London, UK.
Rohan ArambepolaPublic Health England, London, UK.ORCID 0000-0003-2833-8786
Robin WatsonPublic Health England, London, UK.
Sarah BowenPublic Health England, London, UK.ORCID 0000-0001-8987-8343
Felix GreavesPublic Health England, London, UK.ORCID 0000-0001-9393-3122

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimsThe UK low-risk drinking guidelines (LRDG) recommend not regularly drinking more than 14 units of alcohol per week. We tested the effect of different pictorial representations of alcohol content, some with a health warning, on knowledge of the LRDG and understanding of how many drinks it equates to.

designParallel randomized controlled trial.

settingOn-line, 25 January-1 February 2019.

participantsParticipants (n = 7516) were English, aged over 18 years and drink alcohol.

interventionsThe control group saw existing industry-standard labels; six intervention groups saw designs based on: food labels (serving or serving and container), pictographs (servings or containers), pie charts (servings) or risk gradients. A total of 500 participants (~70 per condition) saw a health warning under the design. MEASUREMENTS: Primary outcomes: (i) knowledge: proportion who answered that the LRDG is 14 units; and (ii) understanding: how many servings/containers of beverages one can drink before reaching 14 units (10 questions, average distance from correct answer).

findingsIn the control group, 21.5% knew the LRDG; proportions were higher in intervention groups (all P < 0.001). The three best-performing designs had the LRDG in a separate statement, beneath the pictograph container: 51.1% [adjusted odds ratio (aOR) = 3.74, 95% confidence interval (CI) = 3.08-4.54], pictograph serving 48.8% (aOR = 4.11, 95% CI = 3.39-4.99) and pie-chart serving, 47.5% (aOR = 3.57, 95% CI = 2.93-4.34). Participants underestimated how many servings they could drink: control mean = -4.64, standard deviation (SD) = 3.43; intervention groups were more accurate (all P < 0.001), best performing was pictograph serving (mean = -0.93, SD = 3.43). Participants overestimated how many containers they could drink: control mean = 0.09, SD = 1.02; intervention groups overestimated even more (all P < 0.007), worst-performing was food label serving (mean = 1.10, SD = 1.27). Participants judged the alcohol content of beers more accurately than wine or spirits. The inclusion of a health warning had no statistically significant effect on any measure.

conclusionsLabels with enhanced pictorial representations of alcohol content improved knowledge and understanding of the UK's low-risk drinking guidelines compared with industry-standard labels; health warnings did not improve knowledge or understanding of low-risk drinking guidelines. Designs that improved knowledge most had the low-risk drinking guidelines in a separate statement located beneath the graphics.

Indexed as

Alcoholic BeveragesAlcoholismProduct LabelingAgedAlcohol DrinkingFemaleGuidelines as TopicHumansMaleRiskUnited KingdomAlcoholalcohol unitcancerconsumer knowledgegraphic labelshealth warning labellow-risk drinking guidelinespictorial labelsproduct labellingstandard drink

Identifiers

PMID33169443
PMCPMC8248341

What OpenQuestion holds

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LicenceCC BY-NC
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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.