Evidence map›Paper›PMID 42094650›Full record

ArticleBMJ public health2026

Changes in out-of-home food purchasing following the introduction of England's calorie labelling regulations: a population-level controlled interrupted time series analysis.

Alexandra Irene Kalbus, Jean Adams, Kerry Ann Brown, Alan Brennan, Dalya Marks, Stephen O'Neill, Oana-Adelina Tanasache, Penny Breeze, Steven Cummins, Cherry Law and 2 more

Abstract read
In one paragraph

Article in BMJ public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

12 authors.

Alexandra Irene KalbusPopulation Health Innovation Lab, Department of Public Health, Environments and Society, Faculty of Public Health and Policy, London School of Hygiene & Tropical Medicine, London, UK.ORCID https://orcid.org/0000-0002-7388-7074
Jean AdamsMRC Epidemiology Unit, University of Cambridge, Cambridge, UK.
Kerry Ann BrownDepartment of Public Health and Sport Sciences, Faculty of Health & Life Sciences, University of Exeter, Exeter, UK.ORCID https://orcid.org/0000-0002-6803-5336
Alan BrennanSCHARR, Sheffield Centre for Health and Related Research, Division of Population Health, School of Medicine and Population Health, University of Sheffield, Sheffield, UK.ORCID https://orcid.org/0000-0002-1025-312X
Dalya MarksDepartment of Public Health, Environments and Society, Faculty of Public Health and Policy, London School of Hygiene & Tropical Medicine, London, UK.ORCID https://orcid.org/0000-0003-2475-3122
Stephen O'NeillDepartment of Health Services Research and Policy, Faculty of Public Health and Policy, London School of Hygiene & Tropical Medicine, London, UK.ORCID https://orcid.org/0000-0002-0022-0500
Oana-Adelina TanasachePopulation Health Innovation Lab, Department of Public Health, Environments and Society, Faculty of Public Health and Policy, London School of Hygiene & Tropical Medicine, London, UK.
Penny BreezeSCHARR, Sheffield Centre for Health and Related Research, Division of Population Health, School of Medicine and Population Health, University of Sheffield, Sheffield, UK.
Steven CumminsPopulation Health Innovation Lab, Department of Public Health, Environments and Society, Faculty of Public Health and Policy, London School of Hygiene & Tropical Medicine, London, UK.
Cherry LawDepartment of Agri-Food Economics and Marketing, University of Reading, Reading, UK.
Richard SmithDepartment of Public Health and Sport Sciences, Faculty of Health & Life Sciences, University of Exeter, Exeter, UK.ORCID https://orcid.org/0000-0003-3837-6559
Laura CornelsenPopulation Health Innovation Lab, Department of Public Health, Environments and Society, Faculty of Public Health and Policy, London School of Hygiene & Tropical Medicine, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Large out-of-home (OOH) food businesses in England have been required by law to display calorie information on menus since 6 April 2022. This study investigated whether the implementation of this policy was associated with changes in calories purchased OOH by consumers. Methods: Controlled interrupted time series analysis was used to estimate changes in calories purchased from all OOH outlets in England (intervention group). Secondary outcomes included purchases from large chains, non-chain outlets and five subtypes of purchases (meals, lower-calorie coffee, higher-calorie coffee, sandwiches and fish and chip meals). The control series consisted of purchases from non-chain outlets in Scotland and Wales to avoid spillover labelling in chains across Great Britain. We aggregated self-reported itemised OOH food and non-alcoholic drink purchases from a rolling consumer panel of ~7500 individuals spanning 13 weeks pre intervention and 34 weeks post intervention to population-level average weekly per-person calorie (kcal) purchase estimates. Linear regression, adjusted for season and inflation, modelled level and trend changes compared with the counterfactual of no mandatory policy. Subgroup analyses explored effects by age, sex, occupational socioeconomic status, weight status and weekday/weekend purchases. Results: Compared with the counterfactual, we found no evidence of a change in overall calories purchased OOH associated with mandatory calorie labelling (level change -95.6 kcal, 95% CI -471.2 to 280.0; trend change 5.1 kcal, 95% CI -5.5 to 15.8). There was also no robust evidence of changes in calories purchased OOH for secondary outcomes and by subgroups compared with the counterfactual of no mandatory calorie labelling. Small changes observed in these analyses were sensitive to analytical choices. Conclusions: This study supports existing evidence that calorie labelling alone is unlikely to secure significant changes in food purchasing behaviour at population level. Possible changes to menus were not included in the study and warrant further investigation.

Indexed as

Food ServicesProgram EvaluationPublic Health

Identifiers

PMID42094650
PMCPMC13141202

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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.