Evidence mapPaperPMID 39640830Full record

ArticleHeliyon2024

Planning guidance to limit hot food takeaways: Understanding the possible economic impacts.

Daniel Derbyshire, Antonieta Medina-Lara, Ben Amies-Cull, Michael Chang, Steven Cummins, Suzan Hassan, Matthew Keeble, Bochu Liu, Oliver Mytton, John Rahilly and 6 more

Abstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

16 authors.

Daniel DerbyshirePublic Health Economics Group, Department of Public Health and Sports Science, Faculty of Health and Life Sciences, University of Exeter, UK.
Antonieta Medina-LaraPublic Health Economics Group, Department of Public Health and Sports Science, Faculty of Health and Life Sciences, University of Exeter, UK.
Ben Amies-CullNuffield Department of Population Health, University of Oxford, Oxford, UK.
Michael ChangOffice for Health Improvement and Disparities, Department of Health and Social Care, UK.
Steven CumminsDepartment of Public Health, Environments & Society, Faculty of Public Health & Policy, London School of Tropical Hygiene and Medicine, UK.
Suzan HassanDepartment of Public Health, Environments & Society, Faculty of Public Health & Policy, London School of Tropical Hygiene and Medicine, UK.
Matthew KeebleMRC Epidemiology Unit, School of Clinical Medicine, University of Cambridge, UK.
Bochu LiuMRC Epidemiology Unit, School of Clinical Medicine, University of Cambridge, UK.
Oliver MyttonGreat Ormond Street Institute of Child Health, University College London, UK.
John RahillyMRC Epidemiology Unit, School of Clinical Medicine, University of Cambridge, UK.
Bea SavoryDepartment of Public Health, Environments & Society, Faculty of Public Health & Policy, London School of Tropical Hygiene and Medicine, UK.
Claire ThompsonSchool of Health and Social Work, University of Hertfordshire, UK.
Martin WhiteMRC Epidemiology Unit, School of Clinical Medicine, University of Cambridge, UK.
Jean AdamsMRC Epidemiology Unit, School of Clinical Medicine, University of Cambridge, UK.
Thomas BurgoineMRC Epidemiology Unit, School of Clinical Medicine, University of Cambridge, UK.
Richard SmithPublic Health Economics Group, Department of Public Health and Sports Science, Faculty of Health and Life Sciences, University of Exeter, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Local and national policymakers are seeking innovative solutions to create healthier food environments around the world. Between 2009 and 2017, 35 local authorities across England (UK) adopted planning guidance designed to limit the proliferation of hot food takeaways near schools. Whilst these policies are intended to improve population health, they are also likely to have economic impacts. Often a decision to introduce such policies comes down to consideration of whether the short-term economic imperatives of allowing new takeaway outlets to open outweighs the potential long-term public health implications and associated economic consequences. These potential negative and positive economic impacts have not previously been clearly described and are summarised here. The aim of this paper is to provide an overview of the potential economic impacts of takeaway management zones. In particular, we present a Causal Loop Diagram (CLD) that outlines the possible economic impacts of takeaway management zones based on researcher knowledge of the interventions and the industry. Potential negative impacts fall across sectors and may include a loss of employment opportunities and reductions in local and national tax receipts, and may impact the economic vitality of local communities. In the longer term, there is the potential for positive impacts such as reductions in healthcare resource utilisation, social care expenditure and sickness-related absence from work. Part of a robust case would a better economic understanding, that would enable local authorities to improve understanding of the trade-offs associated with the policy, such as short-versus long-term, and business-related versus society-related health benefits and costs.

Indexed as

Economic impactsEnglandFood environmentsHot food takeawaysPlanning policy

Identifiers

PMID39640830
PMCPMC11620150

What Socratic 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 Socratic graph.