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. 2024 Nov 19;22(1):545.
doi: 10.1186/s12916-024-03739-8.

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

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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 et al. BMC Med. .

Abstract

Background: In 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.

Methods: To 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).

Results: By 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/m2, respectively. Relative to no intervention, obesity prevalence was estimated to be reduced in both sexes in all LAs, including by 2.3 percentage points (PP) (95% uncertainty interval:2.9PP, 1.7PP) to 1.5PP (95%UI:1.9PP, 1.1PP) in males living in Manchester and Wandsworth by 2040, respectively. Model estimates showed reductions in incidence of disease, including type II diabetes (e.g. 964 (95% UI: 1565, 870) fewer cases/100,000 population for males in Manchester)), cardiovascular diseases, asthma, certain cancers, and low back pain. Savings in healthcare costs (millions) ranged from £1.65 (95% UI: £1.17, £2.25)/100,000 population in North Somerset to £2.02 (95% UI: £1.39, £2.83)/100,000 population in Wandsworth. Gains in QALYs/100,000 person were broadly similar across LAs.

Conclusions: Takeaway 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.

Keywords: Body mass index; Health impact modelling; Management zones around schools; Non-communicable diseases; Obesity; Quality-adjusted life years, Healthcare cost savings, PRIMEtime; Takeaway (‘fast-’) food outlets.

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Conflict of interest statement

Declarations Ethics approval and consent to participate Not applicable. Consent for publication Not applicable. For the purpose of open access, the author has applied a Creative Commons Attribution (CC BY) licence to any Author Accepted Manuscript version arising. Competing interests The authors declare no competing interests.

Figures

Fig. 1
Fig. 1
Strategic diagram of analysis strategy. The symbol “1” indicates the following: change in mean exposure to takeaways (by 2031) is calculated by comparing the difference in outlet exposure from a business-as-usual model (see Liu et al. 2024) to an intervention that reduces outlet growth between by 50%. The symbol “2” indicates the following: for each additional takeaway an individual is exposed to, mean BMI increases by 0.0241 kg/m2 (see Burgoine et al. 2024). The symbol “3” indicates the following: For PRIMEtime modelling, the oldest age of a cohort member would be aged 64 years old at baseline (2018) and would be 86 years old by 2040. Some adults will be lost to follow-up, for example due to premature mortality

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