ArticleBMJ open2021
Public acceptability of the UK Soft Drinks Industry Levy: repeat cross-sectional analysis of the International Food Policy Study (2017-2019).
Article in BMJ open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Trial
- Characterizing the food environment in Scotland and its association with deprivation: A national study.Preventive medicine reports · 2025Article
- Supply- and demand-side drivers of the change in the sugar density of food purchased between 2015 and 2018 in Great Britain.The British journal of nutrition · 2025Article
- Estimated changes in free sugar consumption one year after the UK soft drinks industry levy came into force: controlled interrupted time series analysis of the National Diet and Nutrition Survey (2011-2019).Journal of epidemiology and community health · 2024Article
- Whither (or wither?) public health?Clinical medicine (London, England) · 2023Article
- Exploring views of members of the public and policymakers on the acceptability of population level dietary and active-travel policies: a qualitative study.The international journal of behavioral nutrition and physical activity · 2023Article
- Contextual Factors That May Impact on the Development and Implementation of the Sugary Drinks Policy Comment on "Understanding Marketing Responses to a Tax on Sugary Drinks: A Qualitative Interview Study in the United Kingdom, 2019".International journal of health policy and management · 2023Article
- Article
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Authors and funding
6 authors.
Funding
Abstract
objectivesTo determine whether public acceptability, in terms of both support for and perceived effectiveness of, the UK Soft Drinks Industry Levy (SDIL) changed between 4 months prior to, and 8 and 20 months after, implementation.
designRepeat cross-sectional online survey.
settingThe UK.
participantsUK respondents to the International Food Policy Study aged 18-64 years who provided information on all variables of interest in November-December 2017 (4 months prior to SDIL implementation), 2018 (8 months after) or 2019 (20 months after; n=10 284). OUTCOME MEASURES: Self-reported support for, and perceived effectiveness of, the SDIL.
resultsThe adjusted logistic regression model predicted that 70% (95% CI: 68% to 72%) of participants supported the SDIL in 2017, 68% (95% CI: 67% to 70%) in 2018 and 68% (95% CI: 66% to 70%) in 2019. There was no evidence of a difference in support in 2018 vs 2017 (OR: 0.93; 95% CI: 0.81 to 1.05); or in 2019 vs 2017 (OR: 0.90; 95% CI: 0.78 to 1.03). The adjusted logistic regression model predicted that 72% (95% CI: 70% to 74%) of participants perceived the SDIL to be effective in 2017, 67% (95% CI: 65% to 69%) in 2018 and 67% (95% CI: 64% to 69%) in 2019. There was evidence that perceived effectiveness decreased a small amount in 2018 vs 2017 (OR: 0.78; 95% CI: 0.69 to 0.88). The difference in 2019 vs 2017 was similar.
conclusionsWe found high support for the SDIL among UK adults and this did not change between 4 months before implementation and 8 or 20 months after. While perceived effectiveness remained high, there was evidence that this decreased slightly after implementation in 2018, but no further in 2019. Greater understanding of influences on public acceptability of effective structural public health interventions is required.
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