Evidence map›Paper›PMID 39563350›Full record

ArticleBMC medicine2024

Health impacts of takeaway management zones around schools in six different local authorities across England: a public health modelling study using PRIMEtime.

Nina Trivedy Rogers, Ben Amies-Cull, Jean Adams, Michael Chang, Steven Cummins, Daniel Derbyshire, Suzan Hassan, Matthew Keeble, Bochu Liu, Antonieta Medina-Lara and 7 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC medicine, 2024. 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
  2. Article
  3. 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

17 authors.

Nina Trivedy RogersMRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Box 285 Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK. nina.rogers@lshtm.ac.uk.
Ben Amies-CullNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Jean AdamsMRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Box 285 Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK.
Michael ChangOffice for Health Improvement and Disparities, Department of Health and Social Care, London, UK.
Steven CumminsPopulation Health Innovation Lab, Department of Public Health, Environments & Society, London School of Hygiene & Tropical Medicine,, London, WC1H 9SH, UK.
Daniel DerbyshireDepartment of Public Health and Sport Sciences, Faculty of Health and Life Sciences, University of Exeter, Exeter, UK.
Suzan HassanPopulation Health Innovation Lab, Department of Public Health, Environments & Society, London School of Hygiene & Tropical Medicine,, London, WC1H 9SH, UK.
Matthew KeebleDepartment of Marketing, Faculty of Business and Economics, University of Antwerp, Antwerp, Belgium.
Bochu LiuKey Laboratory of Ecology and Energy-Saving Study of Dense Habitat (Ministry of Education of China), Tongji University, Shanghai, China.
Antonieta Medina-LaraDepartment of Public Health and Sport Sciences, Faculty of Health and Life Sciences, University of Exeter, Exeter, UK.
Bea SavoryPopulation Health Innovation Lab, Department of Public Health, Environments & Society, London School of Hygiene & Tropical Medicine,, London, WC1H 9SH, UK.
John RahillyUCL Great Ormond Street Institute of Child Health, 30 Guilford Street, London, WC1N 1EH, UK.
Richard SmithDepartment of Public Health and Sport Sciences, Faculty of Health and Life Sciences, University of Exeter, Exeter, UK.
Claire ThompsonSchool of Health and Social Work, University of Hertfordshire, Hertfordshire, UK.
Martin WhiteMRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Box 285 Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK.
Oliver MyttonUCL Great Ormond Street Institute of Child Health, 30 Guilford Street, London, WC1N 1EH, UK.
Thomas BurgoineMRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Box 285 Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK.

Funding

Medical Research Council MC_UU_00006/7
6 · The paper itself

Abstract

backgroundIn England, the number of takeaway food outlets ('takeaways') has been increasing for over two decades. Takeaway management zones around schools are an effective way to restrict the growth of new takeaways but their impacts on population health have not been estimated.

methodsTo model the impact of takeaway management zones on health, we used estimates of change in and exposure to takeaways (across home, work, and commuting buffers) based on a previous evaluation suggesting that 50% of new outlets were prevented from opening because of management zones. Based on previous cross-sectional findings, we estimated changes in body mass index (BMI) from changes in takeaway exposure, from 2018 to 2040. We used PRIMEtime, a proportional multistate lifetable model, and BMI change to estimate the impact of the intervention, in a closed-cohort of adults (25-64 years), on incidence of 12 non-communicable diseases, obesity prevalence, quality-adjusted life years (QALYs), and healthcare costs saved by 2040 in six local authorities (LAs) across the rural-urban spectrum in England (Wandsworth, Manchester, Blackburn with Darwen, Sheffield, North Somerset, and Fenland).

resultsBy 2031, compared to no intervention, reductions in outlet exposure ranged from 3 outlets/person in Fenland to 28 outlets/person in Manchester. This corresponded to mean per person reductions in BMI of 0.08 and 0.68 kg/m

conclusionsTakeaway management zones in England have the potential to meaningfully contribute towards reducing obesity prevalence and associated healthcare burden in the adult population, at the local level and across the rural-urban spectrum.

Indexed as

ObesitySchoolsAdultBody Mass IndexCross-Sectional StudiesEnglandFast FoodsFemaleHealth Care CostsHumansMaleMiddle AgedNoncommunicable DiseasesPrevalencePublic HealthQuality-Adjusted Life YearsBody mass indexHealth impact modellingManagement zones around schoolsNon-communicable diseasesObesityQuality-adjusted life years, Healthcare cost savings, PRIMEtimeTakeaway (‘fast-’) food outlets

Identifiers

PMID39563350
PMCPMC11575031

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Registered trials

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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.