ArticleBMJ open2019
Are Australians ready for warning labels, marketing bans and sugary drink taxes? Two cross-sectional surveys measuring support for policy responses to sugar-sweetened beverages.
Article in BMJ open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
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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.
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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.
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Who cites it
27 citing papers in PubMed, 78 citations in OpenAlex.
- A randomised experimental study comparing perceptions of two energy drink health warning labels.Health promotion journal of Australia : official journal of Australian Association of Health Promotion Professionals · 2023Trial
- Trends and projections of high body mass index-associated non-hodgkin lymphoma burden (1990-2040): A global burden of disease 2021 analysis.Annals of hematology · 2026Article
- The politics of processed foods: Consumer perceptions of policies targeting ultra-processed foods.PloS one · 2026Article
- Are food taxes for healthy eating acceptable? A survey of public attitudes in the UK.BMJ public health · 2025Article
- Article
- Economic priorities over population health: A political dilemma in addressing noncommunicable diseases in developing countries.Health science reports · 2024Article
- Effect of message framing on support for a sugar-sweetened beverage tax in Australia: a cross-sectional survey analysis.Health promotion international · 2024Article
- Is evoking fear effective? Exploratory findings from a randomised experiment on the impacts of health warning labels on sugar-sweetened beverages.Public health nutrition · 2023Article
- Evaluating the impact of marketing interventions on sugar-free and sugar-sweetened soft drink sales and sugar purchases in a fast-food restaurant setting.BMC public health · 2023Article
- Australians support for policy initiatives addressing unhealthy diet: a population-based study.Health promotion international · 2023Article
- Public perception of the tax on sweetened beverages in France.Public health nutrition · 2022Article
- Adolescents' knowledge and beliefs regarding health risks of soda and diet soda consumption.Public health nutrition · 2022Article
- Analysis of stakeholders' responses to the food warning labels regulation in Mexico.Health research policy and systems · 2022Article
- Article
- Competing public narratives in nutrition policy: insights into the ideational barriers of public support for regulatory nutrition measures.Health research policy and systems · 2022Article
- "You can't just eat 16 teaspoons of sugar so why would you drink 16 teaspoons' worth of sugar?": a qualitative study of young adults' reactions to sugary drink warning labels.BMC public health · 2022Article
- Intentions to reduce sugar-sweetened beverage consumption: the importance of perceived susceptibility to health risks.Public health nutrition · 2021Article
- Changes in Australian community perceptions of non-communicable disease prevention: a greater role for government?BMC public health · 2021Article
- The nexus of Sugar-Sweetened Beverages: Insights on demographics, enablers and barriers.Public health in practice (Oxford, England) · 2021Article
- Can point-of-sale nutrition information encourage reduced preference for sugary drinks among adolescents?Public health nutrition · 2021Article
Corrections and comments
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Authors and funding
10 authors at 6 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo assess public support for 10 potential policy initiatives to reduce sugar-sweetened beverage (SSB) consumption.
designA 2014 historical data set, which employed a face-to-face survey in one Australian state (study 1), provided the basis for comparison with our 2017 nationally representative, cross-sectional, computer-assisted telephone interviewing population survey (study 2).
participantsStudy 1: South Australians, 15+ years (n=2732); study 2: Australians, 18+ years (n=3430). PRIMARY OUTCOME MEASURES: levels of support for SSB-specific policy initiatives. For the 2017 national study (study 2), demographic characteristics, body mass index, knowledge of potential harms caused by consuming SSBs and SSB consumption were included in multivariable regression analyses.
resultsIn 2017, all 10 potential policy initiatives received majority support (60%-88% either 'somewhat' or 'strongly' in favour). Initiatives with educative elements or focused on children received high support (>70%), with highest support observed for text warning labels on drink containers (88%) and government campaigns warning of adverse health effects (87%). Higher support was observed for SSB tax paired with using funds for obesity prevention (77%) than a stand-alone tax (60%). Support for policy initiatives was generally greater among those who believed SSB daily consumption could cause health problems in adults (4%-18% absolute difference) and/or in children (8%-26% absolute difference) and lower among SSB high consumers (7+ drinks per week; 9%-29% absolute difference). State-specific data comparison indicated increased support from 2014 to 2017 for taxation (42%vs55%; χ
conclusionsThere is strong public support for government action, particularly regulatory and educational interventions, to reduce SSB consumption, which appears to have increased since 2014. The findings suggest that framing policies as protecting children, presenting taxation of SSBs in conjunction with other obesity prevention initiatives and education focused on the harms associated with SSB consumption will increase support.
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Registered trials
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.