Evidence map›Paper›PMID 40069745›Full record

ArticleBMC public health2025

Assessing the impact of a mandatory calorie labelling policy in out-of-home food outlets in England on consumer behaviour: a natural experimental study.

Michael Essman, Thomas Burgoine, Andrew Jones, Megan Polden, Eric Robinson, Gary Sacks, Stephen J Sharp, Richard Smith, Lana Vanderlee, Christine M White and 3 more

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. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

13 authors.

Michael EssmanMRC Epidemiology Unit, University of Cambridge, Cambridge, UK. mike.essman@mrc-epid.cam.ac.uk.
Thomas BurgoineMRC Epidemiology Unit, University of Cambridge, Cambridge, UK.
Andrew JonesSchool of Psychology, Liverpool John Moore's University, Liverpool, UK.
Megan PoldenInstitute of Population Health Sciences, University of Liverpool, Liverpool, UK.
Eric RobinsonInstitute of Population Health Sciences, University of Liverpool, Liverpool, UK.
Gary SacksInstitute for Health Transformation, Deakin University, Burwood, Australia.
Stephen J SharpMRC Epidemiology Unit, University of Cambridge, Cambridge, UK.
Richard SmithDepartment of Public Health and Sports Science, Faculty of Health and Life Sciences, University of Exeter, Exeter, UK.
Lana VanderleeSchool of Nutrition, Centre Nutrition, santé et société (NUTRISS), INAF, Université Laval, Québec City, Canada.
Christine M WhiteSchool of Public Health Sciences, University of Waterloo, Waterloo, Canada.
Martin WhiteMRC Epidemiology Unit, University of Cambridge, Cambridge, UK.
David HammondSchool of Public Health Sciences, University of Waterloo, Waterloo, Canada.
Jean AdamsMRC Epidemiology Unit, University of Cambridge, Cambridge, UK.

Funding

Evaluating nutrition labeling policy changes in the US and Mexico.R01DK128967 · NIDDK · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI DAVIS, RACHEL ELLEN, THRASHER, JAMES · 2021 to 2024
$2.4M
CIHR Project Grant (PJT-162167)National Institute for Health and Care Research NIHR200689NIDDK NIH HHS R01 DK128967
6 · The paper itself

Abstract

backgroundOut-of-home (OOH) food tends to be energy-dense and nutrient-poor. In response, England implemented a mandatory calorie labelling policy in the OOH sector. We evaluated changes in consumer behaviours after the policy was implemented in April 2022.

methodsWe employed a natural experimental design to assess pre-post changes in noticing and using nutrition information, and behaviours associated with menu labelling. We compared changes in England to comparator jurisdictions without similar policies. Data included four consecutive years (2019-2022) from the International Food Policy Study; participants were adults aged 18 years or older. Mixed effects logistic regression models assessed pre-post changes in binary outcomes, and mixed effects negative binomial regression assessed changes in frequency of OOH eating.

resultsIn England, noticing nutrition information increased from 16.0% (95% CI 15.6 to 16.4) in 2020 to 19.7% (95% CI 19.1 to 20.2) in 2021 and to 25.8% (95% CI 25.5 to 26.1) in 2022. This increase was 4.8% points (95% CI 2.5 to 7.1) higher in England versus the comparator group. Using nutrition information increased in England from 8.0% (95% CI 7.5 to 8.4) in 2020 to 11.8% (95% CI 10.9 to 12.6) in 2021 and to 13.5% (95% CI 13.1 to 13.9) in 2022. There was a 2.7% points (95% CI 2.0 to 3.4) greater increase in England versus the comparator group from 2020 to 2021. Ordering something different was the only behaviour associated with nutrition information that increased after implementation of the policy in England: from 12.6% (95% CI 12.4 to 12.7) in 2020 to 15.2% (95% CI 14.7 to 15.6) in 2021 and to 17.7% (95% CI 17.6 to 17.8) in 2022. There was a 2.8% points (95% CI 1.8 to 3.9) greater increase in England versus the comparator group from 2021 to 2022. Frequency of OOH eating did not change after policy implementation.

conclusionsThe introduction of mandatory calorie labelling in England led to increases in self-reported noticing and using, with the key behavioural impact on ordering something different. Additional strategies may be required to maximise the public health benefits of calorie labelling.

Indexed as

Consumer BehaviorFood LabelingNutrition PolicyRestaurantsAdolescentAdultEnergy IntakeEnglandFemaleHumansMaleMiddle AgedYoung AdultCalorie labellingConsumer behaviourNatural experimentNutrition informationNutrition policyOut-of-home food

Identifiers

PMID40069745
PMCPMC11895149

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.