Evidence map›Paper›PMID 32163412›Full record

ArticlePLoS medicine2020

Projected impact of the Portuguese sugar-sweetened beverage tax on obesity incidence across different age groups: A modelling study.

Francisco Goiana-da-Silva, Milton Severo, David Cruz E Silva, Maria João Gregório, Luke N Allen, Magdalena Muc, Alexandre Morais Nunes, Duarte Torres, Marisa Miraldo, Hutan Ashrafian and 6 more

Open access · goldAbstract readComparative Study
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 22 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 3 pooled it
8.3field-weighted citation impact, top 2% 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

22 citing papers in PubMed, 3 syntheses or guidelines pooled it, 56 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

16 authors at 7 institutions in 3 countries.

Francisco Goiana-da-SilvaCentre for Health Policy, Institute of Global Health Innovation, Imperial College London, London, United Kingdom.ORCID 0000-0003-2055-6906
Milton SeveroDepartment of Public Health and Forensic Sciences and Medical Education, Faculty of Medicine, University of Porto, Porto, Portugal.ORCID 0000-0002-5787-4871
David Cruz E SilvaCentre for Innovation, Technology and Policy Research, University of Lisbon, Lisbon, Portugal.ORCID 0000-0003-1978-9446
Maria João GregórioDirectorate General of Health, Lisbon, Portugal.ORCID 0000-0002-0380-7833
Luke N AllenNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, England.ORCID 0000-0003-2750-3575
Magdalena MucDepartment of Psychological Sciences, University of Liverpool, Liverpool, United Kingdom.
Alexandre Morais NunesCentre for Public Administration and Public Policies, Institute of Social and Political Sciences, University of Lisbon, Lisbon, Portugal.
Duarte TorresEpidemiology Research Unit, Institute of Public Health, University of Porto, Porto, Portugal.ORCID 0000-0001-8960-2160
Marisa MiraldoDepartment of Economics and Public Policy, Imperial College Business School, London, United Kingdom.
Hutan AshrafianDepartment of Surgery and Cancer, Imperial College London, London, United Kingdom.ORCID 0000-0003-1668-0672
Ana RitoWHO Collaborating Centre for Nutrition and Childhood Obesity, National Institute of Health (INSA), Lisbon, Portugal.ORCID 0000-0002-4356-6202
Kremlin WickramasingheWHO European Office for the Prevention and Control of Noncommunicable Diseases, WHO Regional Office for Europe, Moscow, Russian Federation.ORCID 0000-0001-9497-7901
João BredaWHO European Office for the Prevention and Control of Noncommunicable Diseases, WHO Regional Office for Europe, Moscow, Russian Federation.ORCID 0000-0002-8177-4926
Ara DarziDepartment of Surgery and Cancer, Imperial College London, London, United Kingdom.ORCID 0000-0001-7815-7989
Fernando AraújoUniversity Hospital of São João, Faculty of Medicine, University of Porto, Porto, Portugal.
Carla LopesDepartment of Public Health and Forensic Sciences and Medical Education, Faculty of Medicine, University of Porto, Porto, Portugal.ORCID 0000-0003-1524-852X
Universidade do Porto · PTImperial College London · GBUniversity of Lisbon · PTWHO European Office for the Prevention and Control of NCD · RUNational Institute of Health Dr. Ricardo Jorge · PTUniversity of Liverpool · GBUniversity of Oxford · GB

Funding

Department of HealthWorld Health Organization 001
6 · The paper itself

Abstract

backgroundExcessive consumption of sugar has a well-established link with obesity. Preliminary results show that a tax levied on sugar-sweetened beverages (SSBs) by the Portuguese government in 2017 led to a drop in sales and reformulation of these products. This study models the impact the market changes triggered by the tax levied on SSBs had on obesity incidence across various age groups in Portugal. METHODS AND

findingsWe performed a national market analysis and population-wide modelling study using market data for the years 2014-2018 from the Portuguese Association of Non-Alcoholic Drinks (GlobalData and Nielsen Consumer Panel), dietary data from a national survey (IAN-AF 2015-2016), and obesity incidence data from several cohort studies. Dietary energy density from SSBs was calculated by dividing the energy content (kcal/gram) of all SSBs by the total food consumption (in grams). We used the potential impact fraction (PIF) equation to model the projected impact of the tax-triggered change in sugar consumption on obesity incidence, through both volume reduction and reformulation. Results showed a reduction of 6.6 million litres of SSBs sold per year. Product reformulation led to a decrease in the average energy density of SSBs by 3.1 kcal/100 ml. This is estimated to have prevented around 40-78 cases of obesity per year between 2016 and 2018, with the biggest projected impact observed in adolescents 10 to <18 years old. The model shows that the implementation of this tax allowed for a 4 to 8 times larger projected impact against obesity than would be achieved though reformulation alone. The main limitation of this study is that the model we used includes data from various sources, which can result in biases-despite our efforts to mitigate them-related to the methodological differences between these sources.

conclusionsThe tax triggered both a reduction in demand and product reformulation. These, together, can reduce obesity levels among frequent consumers of SSBs. Such taxation is an effective population-wide intervention. Reformulation alone, without the decrease in sales, would have had a far smaller effect on obesity incidence in the Portuguese population.

Indexed as

CommerceConsumer BehaviorTaxesAdolescentAdultAgedAged, 80 and overAge DistributionChildChild, PreschoolEnergy IntakeHumansIncidenceInfantInfant, NewbornMiddle Aged

Identifiers

PMID32163412
PMCPMC7067376
OpenAlexW3012532601

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.