Evidence map›Paper›PMID 28654688›Full record

ArticlePLoS medicine2017

Modelled health benefits of a sugar-sweetened beverage tax across different socioeconomic groups in Australia: A cost-effectiveness and equity analysis.

Anita Lal, Ana Maria Mantilla-Herrera, Lennert Veerman, Kathryn Backholer, Gary Sacks, Marjory Moodie, Mohammad Siahpush, Rob Carter, Anna Peeters

Erratum issuedAbstract read
In one paragraph

Article in PLoS medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 82 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
82citing papers in PubMed, 5 pooled it
–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

82 citing papers in PubMed, 5 syntheses or guidelines pooled it.

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  6. Trial
  7. Modelling the potential health and economic benefits of reducing population sitting time in Australia.The international journal of behavioral nutrition and physical activity · 2022
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  11. 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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22 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Anita LalCentre for Population Health Research, School of Health and Social Development, Deakin University, Geelong, Victoria, Australia.ORCID http://orcid.org/0000-0001-6921-6617
Ana Maria Mantilla-HerreraSchool of Public Health, University of Queensland, Brisbane, Queensland, Australia.
Lennert VeermanCancer Council NSW, Woolloomooloo, New South Wales, Australia.
Kathryn BackholerCentre for Population Health Research, School of Health and Social Development, Deakin University, Geelong, Victoria, Australia.
Gary SacksCentre for Population Health Research, School of Health and Social Development, Deakin University, Geelong, Victoria, Australia.ORCID http://orcid.org/0000-0001-9736-1539
Marjory MoodieCentre for Population Health Research, School of Health and Social Development, Deakin University, Geelong, Victoria, Australia.
Mohammad SiahpushDepartment of Health Promotion, Social & Behavioral Health, College of Public Health, University of Nebraska Medical Center, Omaha, Nebraska, United States of America.
Rob CarterCentre for Population Health Research, School of Health and Social Development, Deakin University, Geelong, Victoria, Australia.
Anna PeetersCentre for Population Health Research, School of Health and Social Development, Deakin University, Geelong, Victoria, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA sugar-sweetened beverage (SSB) tax in Mexico has been effective in reducing consumption of SSBs, with larger decreases for low-income households. The health and financial effects across socioeconomic groups are important considerations for policy-makers. From a societal perspective, we assessed the potential cost-effectiveness, health gains, and financial impacts by socioeconomic position (SEP) of a 20% SSB tax for Australia. METHODS AND

findingsAustralia-specific price elasticities were used to predict decreases in SSB consumption for each Socio-Economic Indexes for Areas (SEIFA) quintile. Changes in body mass index (BMI) were based on SSB consumption, BMI from the Australian Health Survey 2011-12, and energy balance equations. Markov cohort models were used to estimate the health impact for the Australian population, taking into account obesity-related diseases. Health-adjusted life years (HALYs) gained, healthcare costs saved, and out-of-pocket costs were estimated for each SEIFA quintile. Loss of economic welfare was calculated as the amount of deadweight loss in excess of taxation revenue. A 20% SSB tax would lead to HALY gains of 175,300 (95% CI: 68,700; 277,800) and healthcare cost savings of AU$1,733 million (m) (95% CI: $650m; $2,744m) over the lifetime of the population, with 49.5% of the total health gains accruing to the 2 lowest quintiles. We estimated the increase in annual expenditure on SSBs to be AU$35.40/capita (0.54% of expenditure on food and non-alcoholic drinks) in the lowest SEIFA quintile, a difference of AU$3.80/capita (0.32%) compared to the highest quintile. Annual tax revenue was estimated at AU$642.9m (95% CI: $348.2m; $1,117.2m). The main limitations of this study, as with all simulation models, is that the results represent only the best estimate of a potential effect in the absence of stronger direct evidence.

conclusionsThis study demonstrates that from a 20% tax on SSBs, the most HALYs gained and healthcare costs saved would accrue to the most disadvantaged quintiles in Australia. Whilst those in more disadvantaged areas would pay more SSB tax, the difference between areas is small. The equity of the tax could be further improved if the tax revenue were used to fund initiatives benefiting those with greater disadvantage.

Indexed as

Cost-Benefit AnalysisCost SavingsHealth ExpendituresLife ExpectancyModels, TheoreticalAustraliaBeveragesHumansQuality-Adjusted Life YearsSweetening AgentsTaxesSweetening Agents

Identifiers

PMID28654688
PMCPMC5486958

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.