Evidence map›Paper›PMID 37528529›Full record

Trial reportAddiction (Abingdon, England)2023

Impact of health warning labels and calorie labels on selection and purchasing of alcoholic and non-alcoholic drinks: A randomized controlled trial.

Natasha Clarke, Jennifer Ferrar, Emily Pechey, Minna Ventsel, Mark A Pilling, Marcus R Munafò, Theresa M Marteau, Gareth J Hollands

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Addiction (Abingdon, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Non-alcoholic beer labeling in the United States.Addiction (Abingdon, England) · 2025
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. 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

8 authors.

Natasha ClarkeBehaviour and Health Research Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.ORCID 0000-0003-2375-4510
Jennifer FerrarSchool of Psychological Science, Tobacco and Alcohol Research Group, University of Bristol, Bristol, UK.ORCID 0000-0002-5600-1382
Emily PecheyBehaviour and Health Research Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
Minna VentselBehaviour and Health Research Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
Mark A PillingBehaviour and Health Research Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.ORCID 0000-0002-7446-6597
Marcus R MunafòSchool of Psychological Science, Tobacco and Alcohol Research Group, University of Bristol, Bristol, UK.ORCID 0000-0002-4049-993X
Theresa M MarteauBehaviour and Health Research Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.ORCID 0000-0003-3025-1129
Gareth J HollandsBehaviour and Health Research Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.ORCID 0000-0002-0492-3924

Funding

Medical Research Council MC_UU_00032/7Wellcome TrustWellcome Trust 206853/Z/17/Z
6 · The paper itself

Abstract

aimsTo estimate the impact on selection and actual purchasing of (a) health warning labels (text-only and image-and-text) on alcoholic drinks and (b) calorie labels on alcoholic and non-alcoholic drinks.

designParallel-groups randomised controlled trial.

settingDrinks were selected in a simulated online supermarket, before being purchased in an actual online supermarket.

participantsAdults in England and Wales who regularly consumed and purchased beer or wine online (n = 651). Six hundred and eight participants completed the study and were included in the primary analysis.

interventionsParticipants were randomized to one of six groups in a between-subjects three [health warning labels (HWLs) (i): image-and-text HWL; (ii) text-only HWL; (iii) no HWL] × 2 (calorie labels: present versus absent) factorial design (n per group 103-113). MEASUREMENTS: The primary outcome measure was the number of alcohol units selected (with intention to purchase); secondary outcomes included alcohol units purchased and calories selected and purchased. There was no time limit for selection. For purchasing, participants were directed to purchase their drinks immediately (although they were allowed up to 2 weeks to do so).

findingsThere was no evidence of main effects for either (a) HWLs or (b) calorie labels on the number of alcohol units selected (HWLs: F

conclusionsThere was no evidence that health warning labels reduced the number of alcohol units selected or purchased in an online retail context. There was some evidence suggesting that calorie labels on alcoholic and non-alcoholic drinks may reduce calories purchased from both types of drinks.

Indexed as

Energy IntakeFood LabelingAdultConsumer BehaviorEnglandHumansWalesAlcoholcalorie labelchoice architecturehealth warning labelpurchasingselection

Identifiers

PMID37528529
PMCPMC10952514

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.