Evidence mapPaperPMID 32045418Full record

ArticlePLoS medicine2020

Impact of the announcement and implementation of the UK Soft Drinks Industry Levy on sugar content, price, product size and number of available soft drinks in the UK, 2015-19: A controlled interrupted time series analysis.

Peter Scarborough, Vyas Adhikari, Richard A Harrington, Ahmed Elhussein, Adam Briggs, Mike Rayner, Jean Adams, Steven Cummins, Tarra Penney, Martin White

Open access · goldAbstract read
In one paragraph

Article in PLoS medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 118 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
118citing papers in PubMed, 4 pooled it
31.7field-weighted citation impact, top 1% of its field
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

118 citing papers in PubMed, 4 syntheses or guidelines pooled it, 265 citations in OpenAlex.

  1. Pooled it
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  3. Systematic review of the effect of policies to restrict the marketing of foods and non-alcoholic beverages to which children are exposed.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2022
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  5. Trial
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  7. Review
  8. Article
  9. Who pays and Who benefits? A distributional health-economic evaluation of strengthening the UK soft drinks industry levy.The European journal of health economics : HEPAC : health economics in prevention and care · 2026
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58 more citing papers are in PubMed but not listed here.

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

10 authors at 5 institutions in 2 countries.

Peter ScarboroughCentre on Population Approaches for Non-Communicable Disease Prevention and Oxford Biomedical Research Centre, Nuffield Department of Population Health, University of Oxford, Big Data Institute, Headington, Oxford, United Kingdom.ORCID 0000-0002-2378-2944
Vyas AdhikariCentre on Population Approaches for Non-Communicable Disease Prevention and Oxford Biomedical Research Centre, Nuffield Department of Population Health, University of Oxford, Big Data Institute, Headington, Oxford, United Kingdom.ORCID 0000-0001-7188-7014
Richard A HarringtonCentre on Population Approaches for Non-Communicable Disease Prevention and Oxford Biomedical Research Centre, Nuffield Department of Population Health, University of Oxford, Big Data Institute, Headington, Oxford, United Kingdom.ORCID 0000-0001-6854-1186
Ahmed ElhusseinJohns Hopkins University School of Medicine, Baltimore, Maryland, United States of America.
Adam BriggsCentre on Population Approaches for Non-Communicable Disease Prevention and Oxford Biomedical Research Centre, Nuffield Department of Population Health, University of Oxford, Big Data Institute, Headington, Oxford, United Kingdom.ORCID 0000-0002-2314-1039
Mike RaynerCentre on Population Approaches for Non-Communicable Disease Prevention and Oxford Biomedical Research Centre, Nuffield Department of Population Health, University of Oxford, Big Data Institute, Headington, Oxford, United Kingdom.ORCID 0000-0003-0479-6483
Jean AdamsCentre for Diet & Activity Research, MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge Biomedical Campus, Cambridge, United Kingdom.ORCID 0000-0002-5733-7830
Steven CumminsPopulation Health Innovation Lab, Department of Public Health, Environments & Society, Faculty of Public Health & Policy, London School of Hygiene & Tropical Medicine, London, United Kingdom.ORCID 0000-0002-3957-4357
Tarra PenneyCentre for Diet & Activity Research, MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge Biomedical Campus, Cambridge, United Kingdom.ORCID 0000-0002-4889-9102
Martin WhiteCentre for Diet & Activity Research, MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge Biomedical Campus, Cambridge, United Kingdom.ORCID 0000-0002-1861-6757
University of Oxford · GBUniversity of Cambridge · GBJohns Hopkins University · USLondon School of Hygiene & Tropical Medicine · GBUniversity of Warwick · GB

Funding

British Heart Foundation FS/15/34/31656Cancer Research UKDepartment of Health 16/130/01Department of Health 16/49/01Department of Health IS-BRC-1215-20008Department of Health PHR/16/130/01Medical Research Council MR/K023187/1Wellcome Trust
6 · The paper itself

Abstract

backgroundDietary sugar, especially in liquid form, increases risk of dental caries, adiposity, and type 2 diabetes. The United Kingdom Soft Drinks Industry Levy (SDIL) was announced in March 2016 and implemented in April 2018 and charges manufacturers and importers at £0.24 per litre for drinks with over 8 g sugar per 100 mL (high levy category), £0.18 per litre for drinks with 5 to 8 g sugar per 100 mL (low levy category), and no charge for drinks with less than 5 g sugar per 100 mL (no levy category). Fruit juices and milk-based drinks are exempt. We measured the impact of the SDIL on price, product size, number of soft drinks on the marketplace, and the proportion of drinks over the lower levy threshold of 5 g sugar per 100 mL. METHODS AND

findingsWe analysed data on a total of 209,637 observations of soft drinks over 85 time points between September 2015 and February 2019, collected from the websites of the leading supermarkets in the UK. The data set was structured as a repeat cross-sectional study. We used controlled interrupted time series to assess the impact of the SDIL on changes in level and slope for the 4 outcome variables. Equivalent models were run for potentially levy-eligible drink categories ('intervention' drinks) and levy-exempt fruit juices and milk-based drinks ('control' drinks). Observed results were compared with counterfactual scenarios based on extrapolation of pre-SDIL trends. We found that in February 2019, the proportion of intervention drinks over the lower levy sugar threshold had fallen by 33.8 percentage points (95% CI: 33.3-34.4, p < 0.001). The price of intervention drinks in the high levy category had risen by £0.075 (£0.037-0.115, p < 0.001) per litre-a 31% pass through rate-whilst prices of intervention drinks in the low levy category and no levy category had fallen and risen by smaller amounts, respectively. Whilst the product size of branded high levy and low levy drinks barely changed after implementation of the SDIL (-7 mL [-23 to 11 mL] and 16 mL [6-27ml], respectively), there were large changes to product size of own-brand drinks with an increase of 172 mL (133-214 mL) for high levy drinks and a decrease of 141 mL (111-170 mL) for low levy drinks. The number of available drinks that were in the high levy category when the SDIL was announced was reduced by 3 (-6 to 12) by the implementation of the SDIL. Equivalent models for control drinks provided little evidence of impact of the SDIL. These results are not sales weighted, so do not give an account of how sugar consumption from drinks may have changed over the time period.

conclusionsThe results suggest that the SDIL incentivised many manufacturers to reduce sugar in soft drinks. Some of the cost of the levy to manufacturers and importers was passed on to consumers as higher prices but not always on targeted drinks. These changes could reduce population exposure to liquid sugars and associated health risks.

Indexed as

Dietary SucroseCarbonated BeveragesControlled Before-After StudiesCosts and Cost AnalysisHumansInterrupted Time Series AnalysisPortion SizeSugar-Sweetened BeveragesTaxesUnited KingdomDietary Sucrose

Identifiers

PMID32045418
PMCPMC7012398
OpenAlexW2999856626

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.