| Literature DB >> 31484538 |
Michelle Eykelenboom1, Maartje M van Stralen2, Margreet R Olthof2, Linda J Schoonmade3, Ingrid H M Steenhuis2, Carry M Renders2.
Abstract
BACKGROUND: Taxation of sugar-sweetened beverages (SSBs), as a component of a comprehensive strategy, has emerged as an apparent effective intervention to counteract the rising prevalence of overweight and obesity. Insight into the political and public acceptability may help adoption and implementation in countries with governments that are considering an SSBs tax. Hence, we aimed to conduct a systematic review and meta-analysis to synthesize the existing qualitative and quantitative literature on political and public acceptability of an SSBs tax.Entities:
Keywords: Acceptability; Nutrition policy; Obesity prevention; Public opinion; Public support; Sugar-sweetened beverages; Taxes
Mesh:
Year: 2019 PMID: 31484538 PMCID: PMC6727579 DOI: 10.1186/s12966-019-0843-0
Source DB: PubMed Journal: Int J Behav Nutr Phys Act ISSN: 1479-5868 Impact factor: 6.457
Fig. 1PRISMA flowchart
Characteristics of included studies on political and public acceptability of a sugar-sweetened beverages (SSBs) tax (n = 40)
| Author (year) | Country | Taxation at time of study | Study design | Data collection method | Samplea | Recruitment/setting | Sample size | |
|---|---|---|---|---|---|---|---|---|
| Isett (2015) [ | US | No | Qualitative | Semi-structured interviews | Political and public | Individuals involved in the SSBs policy initiative (past and present public officials, key advocates from the nonprofit sectorb) | New York City | 27 (6b) |
| Moise (2011) [ | Mexico | No | Qualitative | Semi-structured interviews | Political and public | Key informants (from Ministry of Health and civil societyb) | Purposive sample | 16 (3b) |
| Nixon (2015) [ | US | No | Qualitative | News reports | Political and public | Published between Nov 2011 and Jan 2013 (Richmond and El Monte) and Nov 2012 and Jan 2014 (Telluride) on soda tax initiatives | Nexis news database and online archives of news sources, Richmond, El Monte and Telluride | 378 |
| Signal (2018) [ | New Zealand | No | Qualitative | Semi-structured interviews | Political and public | Key stakeholders (politicians, bureaucrats and consumer representativesb) | Purposive sample | 22 (8b) |
| Tamir (2018) [ | Israel | No | Qualitative | Semi-structured interviews | Political and public | Stakeholders (legislators, policy makers, regulators and public representativesb) | Purposive sample | 39 (17b) |
| Lloyd-Williams (2014) [ | Fourteen European countriesd | Yes in Denmark, Finland, France and Hungary | Qualitative | Semi-structured interviews | Political | National experts from 14 European countries (senior policy-makersb) | Purposive sample | 71 (12b) |
| Purtle (2018) [ | US | No | Qualitative | Semi-structured interviews | Political | Key informants closely involved with the SSBs tax policymaking process (city councilpersons, city agency officialsb) | Philadelphia | 9 (6b) |
| Thow (2011) [ | Four Pacific countriese | Yes | Qualitative | Semi-structured interviews | Political | Stakeholders (politicians and policy makers from both health and financeb) | Snowball sample, Fiji, Samoa, Nauru and French Polynesia | Not reported |
| Chan (2009) [ | China | No | Qualitative | Focus groups | Public | Eighth and ninth grade adolescents (13–15 years) | Purposive sample, Hong Kong | 22 |
| Francis (2017) [ | Australia | No | Qualitative | Group interviews | Public | Young people (12–25 years) | Convenience sample of young people attending one youth group and two high schools, Perth | 41 |
| Giabbanelli (2016) [ | US | Pre- and post-implementation period | Qualitative | Reader comments | Public | Comments on SSBs taxes in Berkeley and San Francisco in news reports published between 1 Jan 2014 and 31 Jan 2015 | LexisNexis database, large U.S. daily newspapers and newspapers with significant readership in Berkeley or San Francisco, California | 3864 |
| Krukowski (2016) [ | US | No | Qualitative | Focus groups | Public | Students in grades six through eight | Random sample from a middle school, Michigan | 22 |
| Ortega-Avila (2018) [ | Mexico | Yes | Qualitative | Semi-structured interviews | Public | Adolescents (15–19 years) | Purposive sample recruited through participation in an earlier cross-sectional survey, north-west Mexico | 29 |
| Swift (2018) [ | UK | No | Qualitative | Forum posts | Public | Forum posts that referred to the proposed Soft Drinks Industry Levy posted between 17 July 2015 and 31 Aug 2016 | Top three UK online parenting forums | 412 |
| Thomas-Meyer (2017) [ | UK | No | Qualitative | Reader comments | Public | To online articles published on 10 UK news websites with the most total unique visitors in Jan 2013 | Popular online news websites | 1645 |
| Visram (2017) [ | UK | No | Qualitative | Focus groups | Public | Pupils from year 6 (10–11 years) and year 9 (13–14 years) | Four schools in County Durham, northern England | 37 |
| Moretto (2014) [ | Australia | No | Mixed-method | Citizens’ Jury | Public | Adults (≥ 18 years) | Purposive sample of citizens randomly selected from the electoral roll, Queensland | 13 |
| Álvarez-Sánchez (2018) [ | Mexico | Yes | Cross-sectional survey | Self-reported questionnaire administered face-to-face | Public | Adults (20–59 years) | Nationally representative sample of residents, the 2016 Mexican National Health and Nutrition Survey | 6650 |
| Barry (2013) [ | US | No | Cross-sectional survey | Online self-report questionnaire | Public | Adults (18–64 years) | Probability-based sample from the nationally representative GfK | 1026 |
| Brock (2017) [ | US | No | Cross-sectional survey | Questionnaire administrated via phone | Public | Adults | Stratified probability sample randomly selected at household level from the 2014 Texas Lyceum Poll, Texas | 575 |
| Comans (2017) [ | Australia | No | Cross-sectional survey | Online self-report questionnaire | Public | Parents/caregivers of young children (3–7 years) | Subsample from the Environments for Health Living cohort study, South-East Queensland | 563 |
| Curry (2018) [ | US | No | Cross-sectional survey | Questionnaire administrated via phone | Public | Adults (≥ 18 years) | Representative random sample of residents, Kansas | 2203 |
| Donaldson (2015) [ | US | No | Cross-sectional survey | Questionnaire administrated via phone | Public | Adults (≥ 18 years) | Randomly selected representative sample of registered voters, Mid-Atlantic state | 1000 |
| Farrell (2018) [ | Australia | No | Cross-sectional survey | Interview questionnaire administered face-to-face | Public | Children and adults (≥ 15 years) | Representative sample of residents, the 2014 South Australian Health Omnibus Survey, South-Australia | 2732 |
| Gollust (2014) [ | US | No | Cross-sectional survey | Online self-report questionnaire | Public | Adults (18–64 years) | Nationally representative sample recruited from a GfK panel | 1319 |
| Gollust (2017) [ | US | No | Cross-sectional survey | Online self-report questionnaire | Public | Undergraduate students | Large university, Minnesota | 494 |
| Julia (2015) [ | France | Yes | Cross-sectional survey | Online self-report questionnaire | Public | Adults (≥ 18 years) | Nationally representative stratified random subsample from the Nutrinet-Santé cohort study | 1996 |
| Morley (2012) [ | Australia | No | Cross-sectional survey | Questionnaire administrated via phone | Public | Adults (18–64 years) who were the main grocery buyer for their household | Random sample | 1521 |
| Petrescu (2016) [ | US | No | Cross-sectional survey | Online self-report questionnaire | Public | Adults (≥ 18 years) | Sample recruited using Amazon Mechanical Turk | 1082 |
| Petrescu (2016) [ | UK | No | Cross-sectional survey | Online self-report questionnaire | Public | Adults (≥ 18 years) | Sample recruited by Survey Sampling International | 1093 |
| Rivard (2012) [ | US | No | Cross-sectional survey | Questionnaire administrated via phone | Public | Adults (≥ 18 years) | Representative sample recruited by the Survey Research and Data Acquisition Resource | 592 |
| Roh (2016) [ | US | No | Cross-sectional survey | Online self-report questionnaire | Public | Adults (≥ 18 years) | Web participants recruited from | 206 |
| Roh (2016) [ | US | No | Cross-sectional survey | Questionnaire administrated via phone | Public | Adults (≥ 18 years) | Probability sample recruited from a Marketing Systems Group’s national panel | 1000 |
| Sainsbury (2018) [ | Australia | No | Cross-sectional survey | Online self-report questionnaire | Public | Adults (≥ 18 years) | Nationally representative sample recruited by Online Research Unit | 2011 |
| Simon (2014) [ | US | No | Cross-sectional survey | Questionnaire administrated via phone | Public | Adults (≥ 18 years) | Random subsample from the 2011 Los Angeles Country Health Survey, Los Angeles | 998 |
| Swift (2018) [ | UK | No | Cross-sectional survey | Online self-report questionnaire | Public | Adults (≥ 18 years) | Advertised on four popular parenting forums | 184 |
| Tabak (2013) [ | US | No | Cross-sectional survey | Questionnaire administrated via phone | Public | Adults (≥ 18 years) | Random sample, Mississippi | 2800 |
| Wolfson (2015) [ | US | No | Cross-sectional survey | Online self-report questionnaire | Public | Adults (18–64 years) | Probability-based sample recruited using the GfK survey research panel, Policy Support Survey | 408 |
| Niederdeppe (2014) [ | US | No | Pre-test post-test | Self-reported questionnaire (method of administration not reported) | Public | Adults (18–64 years) | Probability sample from the GfK panel | 3118 (941c) |
| Scully (2017) [ | Australia | No | Pre-test post-test | Online self-report questionnaire | Public | Adults (≥ 18 years) | Random sample of panel members from two non-probability based online panels | 6000 (300c) |
a Political, any individuals involved in the decision-making process (e.g. policy-makers, politicians and informants from ministries); public, any individuals potentially affected by an SSBs tax (i.e. the public); b Participants representative of the population of interest; c Participants assigned to the control condition; d Fourteen European countries: Belgium, Czech Republic, England, Estonia, Finland, Germany, Greece, Iceland, Italy, Ireland, Malta, Poland, Portugal and Slovenia; e Four Pacific countries: Fiji, Samoa, Nauru and French Polynesia
Synthesis of qualitative studies on political and public acceptability of a sugar-sweetened beverages (SSBs) tax
| Theme | Subtheme | Studies on political acceptability | Studies on public acceptability | Illustrative quotes |
|---|---|---|---|---|
| Beliefs about effectiveness and cost-effectiveness | Impact on SSB purchases and consumption | [ | [ | ‘Informants from academia and MOH [Ministry of Health] indicated that taxation may limit SSB consumption’ (Mexico) [ ‘Many students stated that a positive of SSB taxes was decreased consumption (“I think it would stop so many people from buying sugary drinks.”)’ (US) [ ‘One female participant said that people had already made up their minds about soft drinks. Those who really love soft drinks would save money from other sources to buy them anyway’ (China) [ ‘Another student concluded, “I think that the only people that will actually do that [continue to buy SSBs] are people that are really rich and can afford anything or people that just don’t know how to handle an addiction of theirs.”’ (US) [ ‘A lack of awareness of the price of beverages was reported as a reason for dismissing taxation, as one participant explained: It won’t affect me [tax] because, like me, other people don’t remember the juice prices of last year’ (Mexico) [ |
| Impact on health-related outcomes | [ | [ | ‘The Minister for Health proposed the tax due to concerns over diabetes and other chronic diseases’ (Pacific countries) [ ‘Research evidence about the health effects of SSBs and potential health benefits of SSB taxes was influential toward the end of the policymaking process’ (US) [ ‘A number of stakeholders were awaiting outcomes from the Mexican SSBs tax, which were not published at the time.’ (New Zealand) [ ‘Tax is a cure for obesity’ (US) [ ‘Many commenters thought it would not be not effective in reducing obesity’ (UK) [ | |
| Impact on SSB prices | [ | [ | ‘There were concerns that the full tax may not be passed on to consumers by companies as they may spread the load across all types of sweetened and non-sweetened drinks’ (Australia) [ ‘According to several participants, the tax would only affect them if it were higher: ‘If the price was much higher than it was before, I think yes, I would consider it, but the 10% increase is not that much’ (Mexico) [ | |
| Availability of healthy alternatives | [ | [ | ‘All informants emphasized the structural barriers to implementation, including an inadequate investment in drinking water infrastructure and lack of healthy alternatives to SSB’ (Mexico) [ ‘I would much prefer to feed my children a sugary drink then take them out to play in the park and burn it off then so-called diet drinks filled with neurotoxins like Aspartame that does Lord-knows-what to their developing brains’ (UK) [ ‘I’d rather sugar than artificial sweeteners …’ (UK) [ | |
| Encourage industry to reformulate content | [ | ‘It would encourage the drink producers to reduce the sugar’ (UK) [ | ||
| Cost-effectiveness | [ | [ | ‘Participants across all 14 European countries also perceived regulatory measures to be more cost-effective than voluntary measures’ (European countries) [ ‘If a tax helps that then so be it, it’s worth the extra cost (and will save us loads in the future)’ (UK) [ | |
| Beliefs about appropriateness | Taxation as an intervention strategy | [ | [ | ‘To counter marketing practices and SSB consumption, almost all insisted that ‘government intervention is crucial to protect children’ (Mexico) [ ‘Analogies were made to the successes of tobacco taxes and the transfats restriction in improving health’ (US) [ ‘But I’m an adult and I’m sick to death of being treated like a 5 year old by this nanny-state we’re now living in’ (UK) [ ‘ ‘Bring down the price of healthy foods and then see if there is a decline in obesity’ (UK) [ |
| SSBs as an intervention target | [ | [ | ‘Four noted that soft drinks are cheaper than healthy alternatives, suggesting that a tax would assist in adjusting this anomaly, including one consumer, one politician, and one food industry leader’ (New Zealand) [ ‘The jurors agreed that sugar-sweetened drinks were (…) a major contributor to childhood obesity’ (Australia) [ ‘I’ve drank soda all my life and I’ve never been overweight’ (UK) [ | |
| Beliefs about overweight and obesity | [ | [ | ‘One long-term resident observed, ‘[I’ve] looked at children in the schoolyard and on the streets of Telluride and, for the life of me, I don’t see obesity as a local problem’ (US) [ ‘If youre fat, its your own fault and its YOUR responsibility to do something about it. Not the NHS Not the Govt Not the tax payer ... Take some responsibility and put down the fork!’ (UK) [ ‘All of the interviewees, regardless of sector, regarded obesity as a combined public and personal problem’ (Israel) [ | |
| Beliefs about economic and socioeconomic benefit | Raise revenue for societal health programs | [ | [ | ‘In 2002 the French Polynesian government introduced a range of taxes, including taxes on soft drinks, in order to fund the establishment of the Etablissement pour la prevention (EPAP), a prevention fund’ (Pacific countries) [ ‘One local mother described in glowing terms her daughter’s experience, concluding, ‘I am prepared to pay an extra 12 cents for my occasional soda … if it means the continuation of these programs for the children of Telluride’ (US) [ |
| Raise revenue for health care | [ | [ | ‘The government at the time proposed the tax because they wanted to enact preventive health interventions as well as fund hospitals’ (Pacific countries) [ | |
| ‘A number of suggestions were made for how tax revenues could be spent to benefit society as a whole–particularly via additional financial support for the NHS’ (UK) [ | ||||
| Raise revenue for the general budget | [ | ‘Mayor Andre Quintero said, ‘[T] here are significant financial hurdles that we need to start dealing with now, so having this type of tax as an option brings in revenue’ (US) [ | ||
| Negative economic impact | [ | [ | ‘One bureaucrat noted the value of evidence of the impact on the economy and productivity’ (New Zealand) [ ‘The corporations absorb the hit and reduce jobs to offset the increased cost of doing business’ (US) [ | |
| Impact on socioeconomic equality | [ | [ | ‘Pro-SSB tax advocates, including the LHD, countered this argument with data about the disproportionally high prevalence of obesity and diabetes among low-income Philadelphians and claims that these disparities were regressive’ (US) [ ‘The main arguments were the regressive nature of the tax - not only would low-income families be spending more of their income on the tax, but these communities also consume greater quantities of soda than higher-income populations’ (US) [ | |
| Beliefs about policy adoption and implementation | Feasibility | [ | [ | ‘There was general agreement that a soft drink tax would be the easiest intervention to implement of the ones examined. It was agreed that it would be possible to impose an excise tax, such as that on alcohol, as occurs in New Zealand’ (New Zealand) [ ‘The jurors agreed that sugar-sweetened drinks were easily defined’ (Australia) [ ‘When asked about the legal framework, informants described a convoluted policymaking system, a prolonged policy adoption process, competing agendas, and opposition (mostly from industry)’ (Mexico) [ ‘Five people commented on the administrative load of such a tax. A bureaucrat and food industry leader were concerned the load would be high’ (New Zealand) [ ‘Policymakers are fighting ‘an invisible enemy’ in home-made, unlabeled products, including home-made sugary beverages, that will be difficult to regulate’ (Mexico) [ |
| Support of stakeholders | [ | [ | ‘There was agreement from all stakeholder groups on the need to increase public support for such a tax’ (New Zealand) [ ‘Regarding people such as doctors, whom students believed would be against adolescents’ drinking SSBs, they stated, “They would think that it [a SSB tax] is a good idea.”’ (US) [ ‘Other potential objectors identified by interviewees were members of the tax system: the Ministry of Finance and the Israeli Tax Authority, as well as Members of Parliament and liberal organizations’ (Israel) [ | |
| ‘However, a consumer representative warned about the power of industry, ‘the hugely influential weight of the industry, you know, they’re in there lobbying the government all the time’ (New Zealand) [ | ||||
| Mistrust | Mistrust of industry | [ | ‘Soda companies ‘want to avoid paying their fair share and don’t care about the safety and health of El Monte’s neighborhoods’ (US) [ | |
| Mistrust of government | [ | [ | ‘Some consumers (…) have doubts about the use of proceeds (e.g., “revenue to fund other projects or even their own generous pay raises”)’ (US) [ ‘… as others have said a tax on sugary drinks is just a government money generating scheme and not addressing the real issues …’ (UK) [ ‘We know that the Ministry of Finance does not like the use of tax money for a specific cause. The Ministry of Finance wants every penny they collect to be free for use towards the purposes that they choose’ (Israel) [ | |
| Mistrust of public health experts | [ | ‘How many of these “experts” struggle with their grocery bill? I‘m sick and tired of hearing “experts” calling for a rise in the cost of living’ (UK) [ |
a Four Pacific countries: Fiji, Samoa, Nauru and French Polynesia; b Fourteen European countries: Belgium, Czech Republic, England, Estonia, Finland, Germany, Greece, Iceland, Italy, Ireland, Malta, Poland, Portugal and Slovenia; c Subtheme includes a study with taxation at the time of study
Fig. 2Pooled proportions of public acceptability of a sugar-sweetened beverages (SSBs) tax
Synthesis of quantitative studies on political and public acceptability of a sugar-sweetened beverages (SSBs) tax
| Subtheme | Pooled proportion (95% CI) or proportion | Range | I2 a (%) | No. of studies (references) | Countries |
|---|---|---|---|---|---|
| 1. Beliefs about effectiveness and cost-effectiveness | |||||
| Impact on SSB purchases and consumption | 0.39 (0.26–0.54) | 0.20–0.64 | 99.6 | 7 [ | France, Mexico, UK, US |
| Impact on health-related outcomes | 0.40 (0.29–0.54) | 0.26–0.58 | 98.5 | 5 [ | France, UK, US |
| Cost-effectiveness | 0.33 | NA | NA | 1 [ | UK |
| Lack of healthy alternatives | 0.84 | NA | NA | 1 [ | Mexico |
| 2. Beliefs about appropriateness | |||||
| Taxation as an intervention strategy | |||||
| Appropriate | 0.37 | NA | NA | 1 [ | UK |
| Not appropriate | 0.54 | NA | NA | 1 [ | UK |
| SSBs as an intervention target | |||||
| Appropriate | 0.68 (0.48–0.85) | 0.42–0.92 | 99.6 | 5 [ | Mexico, UK, US |
| Not appropriate | 0.60 | NA | NA | 1 [ | UK |
| Beliefs about overweight and obesity | |||||
| Obesity is a problem | 0.92 (0.91–0.93) | 0.85–0.93 | 0.00 | 2 [ | Australia, US |
| Society is responsible | 0.38 | NA | NA | 1 [ | US |
| 3. Beliefs about economic and socioeconomic benefit | |||||
| Raise revenue for societal health programs | 0.39 (0.36–0.41) | 0.37–0.40 | 0.00 | 2 [ | UK, US |
| Negative economic impact | 0.44 | NA | NA | 1 [ | UK |
| Impact on socioeconomic equality | |||||
| Negative | 0.50 (0.48–0.52) | 0.49–0.51 | 0.00 | 2 [ | France, UK |
| Positive | 0.36 | NA | NA | 1 [ | UK |
| 4. Beliefs about policy adoption and implementation | |||||
| Lack of stakeholder support | 0.53 | NA | NA | 1 [ | UK |
| 5. Mistrust | |||||
| Mistrust of industry | 0.49 (0.32–0.66) | 0.31–0.80 | 98.9 | 4 [ | UK, US |
| Mistrust of government | 0.61 (0.56–0.67) | 0.58–0.67 | 90.3 | 3 [ | UK, US |
| Mistrust of public health experts | 0.35 | NA | NA | 1 [ | US |
a I2: Measure of the degree of inconsistency across studies