Evidence map›Paper›PMID 29038317›Full record

ArticleJournal of epidemiology and community health2017

Change in non-alcoholic beverage sales following a 10-pence levy on sugar-sweetened beverages within a national chain of restaurants in the UK: interrupted time series analysis of a natural experiment.

Laura Cornelsen, Oliver T Mytton, Jean Adams, Antonio Gasparrini, Dalia Iskander, Cecile Knai, Mark Petticrew, Courtney Scott, Richard Smith, Claire Thompson and 2 more

Open access · hybridAbstract read
In one paragraph

Article in Journal of epidemiology and community health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 4 pooled it
3.2field-weighted citation impact, top 8% 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

15 citing papers in PubMed, 4 syntheses or guidelines pooled it, 54 citations in OpenAlex.

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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 at 2 institutions in 2 countries.

Laura CornelsenFaculty of Public Health & Policy, London School of Hygiene & Tropical Medicine, London, UK.
Oliver T MyttonCentre for Diet & Activity Research & MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge, UK.ORCID http://orcid.org/0000-0003-3218-9912
Jean AdamsCentre for Diet & Activity Research & MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge, UK.
Antonio GasparriniFaculty of Public Health & Policy, London School of Hygiene & Tropical Medicine, London, UK.
Dalia IskanderFaculty of Public Health & Policy, London School of Hygiene & Tropical Medicine, London, UK.
Cecile KnaiFaculty of Public Health & Policy, London School of Hygiene & Tropical Medicine, London, UK.
Mark PetticrewFaculty of Public Health & Policy, London School of Hygiene & Tropical Medicine, London, UK.
Courtney ScottFaculty of Public Health & Policy, London School of Hygiene & Tropical Medicine, London, UK.
Richard SmithFaculty of Public Health & Policy, London School of Hygiene & Tropical Medicine, London, UK.
Claire ThompsonFaculty of Public Health & Policy, London School of Hygiene & Tropical Medicine, London, UK.
Martin WhiteCentre for Diet & Activity Research & MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge, UK.
Steven CumminsFaculty of Public Health & Policy, London School of Hygiene & Tropical Medicine, London, UK.
London School of Hygiene & Tropical Medicine · GBUniversity of Cambridge · GB

Funding

Medical Research Council MR/K023187/1Medical Research Council MR/L012324/1Wellcome Trust
6 · The paper itself

Abstract

backgroundThis study evaluates changes in sales of non-alcoholic beverages in Jamie's Italian, a national chain of commercial restaurants in the UK, following the introduction of a £0.10 per-beverage levy on sugar-sweetened beverages (SSBs) and supporting activity including beverage menu redesign, new products and establishment of a children's health fund from levy proceeds.

methodsWe used an interrupted time series design to quantify changes in sales of non-alcoholic beverages 12 weeks and 6 months after implementation of the levy, using itemised electronic point of sale data. Main outcomes were number of SSBs and other non-alcoholic beverages sold per customer. Linear regression and multilevel random effects models, adjusting for seasonality and clustering, were used to investigate changes in SSB sales across all restaurants (n=37) and by tertiles of baseline restaurant SSB sales per customer.

resultsCompared with the prelevy period, the number of SSBs sold per customer declined by 11.0% (-17.3% to -4.3%) at 12 weeks and 9.3% (-15.2% to -3.2%) at 6 months. For non-levied beverages, sales per customer of children's fruit juice declined by 34.7% (-55.3% to -4.3%) at 12 weeks and 9.9% (-16.8% to -2.4%) at 6 months. At 6 months, sales per customer of fruit juice increased by 21.8% (14.0% to 30.2%) but sales of diet cola (-7.3%; -11.7% to -2.8%) and bottled waters (-6.5%; -11.0% to -1.7%) declined. Changes in sales were only observed in restaurants in the medium and high tertiles of baseline SSB sales per customer.

conclusionsIntroduction of a £0.10 levy on SSBs alongside complementary activities is associated with declines in SSB sales per customer in the short and medium term, particularly in restaurants with higher baseline sales of SSBs.

Indexed as

BeveragesCarbonated BeveragesChildCommerceHumansInterrupted Time Series AnalysisRestaurantsSocioeconomic FactorsSweetening AgentsUnited KingdomSweetening Agentsdietinterrupted-time seriesnatural experimentsugar-sweetened beveragessugar tax

Identifiers

PMID29038317
PMCPMC5847096
OpenAlexW2766021341

What OpenQuestion 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 OpenQuestion graph.