Abstract
Introduction
Childhood obesity is a major public health concern and sugar-sweetened beverages (SSBs) are a known contributor. SSB taxation and food labelling have been proposed as policies to reduce consumption by changing purchasing behaviours. The study aimed to analyse caregivers’ preferences on commonly purchased SSBs in Australia and to determine the effect of price increases and teaspoon labelling on their purchasing intentions.
Methods
We used a discrete choice experiment (DCE) to obtain data about choices between SSB and non-SSB alternatives. 563 caregivers, who had young children aged 3–7 years, completed the experiment online. 286 were randomly allocated to receive choice sets with plain labelling while 277 were assigned to teaspoon labelling. Each participant completed nine choice scenarios where they chose between six SSB and non-SSB beverage options or a no-beverage option, with beverage prices varying between scenarios. While hypothetical, price and teaspoon labelling for sugar content for each beverage was obtained from an informal market survey. Responses from the DCE were modelled using random parameters logit within a random utility theory framework. Household income and children’s consumption volumes of soft drink were used to explore preference heterogeneity.
Results
Using mixed logit as the final model, we found that higher reduction in intended purchases was observed for soft drink and fruit drink in teaspoon labelling than it was in plain labelling. Participants exposed to teaspoon labelling intended to purchase less of flavoured milk and fruit juice compared to those exposed to plain labelling. Compared to baseline prices, a hypothetical 20% increase in SSB prices and the presentation of ‘teaspoons of sugar’ labelling were predicted to reduce intentional SSB purchases and increase intentional non-SSB purchases. Within each labelling group, there were no significant differences of intentional purchases between the highest and the lowest income quintile, high and low consumers of soft drinks. However, compared to plain labelling, teaspoon labelling was predicted to strongly influence intentional purchases of SSBs and non-SSBs.
Conclusion
This study suggests that a policy to increase SSB price and include teaspoon labelling would lead to a reduced consumption of SSBs and increased consumption of non-SSBs.
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Data Availability Statement
The datasets generated during and/or analysed during the current study are not publicly available due to constraints imposed in the Ethics process but are available from the corresponding author on reasonable request subject to approval from an appropriate HREC.
References
World Health Organisation. Obesity and overweight. 2020. https://www.who.int/news-room/fact-sheets/detail/obesity-and-overweight. Accessed 20 Jun 2020.
World Health Organisation. Guideline: sugars intake for adults and children. 2015. https://www.who.int/publications/i/item/9789241549028. Accessed 20 Jun 2020.
Malik VS, Willett WC, Hu FB. Sugar-sweetened beverages and BMI in children and adolescents: reanalyses of a meta-analysis. Am J Clin Nutr. 2009;89:438–9. https://doi.org/10.3945/ajcn.2008.26980 (author reply 439–440).
Clifton PM, Chan L, Moss CL, et al. Beverage intake and obesity in Australian children. Nutr Metab. 2011;8:87. https://doi.org/10.1186/1743-7075-8-87.
Bremer AA, Auinger P, Byrd RS. Sugar-sweetened beverage intake trends in US adolescents and their association with insulin resistance-related parameters. Int J Nutr Metab. 2010. https://www.hindawi.com/journals/jnme/2010/196476/. Accessed 27 Apr 2020.
Bleich SN, Vercammen KA. The negative impact of sugar-sweetened beverages on children’s health: an update of the literature. BMC Obes. 2018;5:6. https://doi.org/10.1186/s40608-017-0178-9.
Australian Bureau of Statistics. National Health Survey 2017–2018. Australian Bureau of Statistics; 2019.
Australian Parliament House. Obesity epidemic in Australia. Canberra: Australian Parliament House; 2018.
Roberto CA, Wong D, Musicus A, Hammond D. The influence of sugar-sweetened beverage health warning labels on parents’ choices. Pediatrics. 2016. https://doi.org/10.1542/peds.2015-3185.
Billich N, Blake MR, Backholer K, et al. The effect of sugar-sweetened beverage front-of-pack labels on drink selection, health knowledge and awareness: an online randomised controlled trial. Appetite. 2018;128:233–41. https://doi.org/10.1016/j.appet.2018.05.149.
Vuik S, Cecchini M (2019) The impact of obesity policies on the food and drink industry. 221–252. https://doi.org/10.1787/6ce0b80b-en
Australian Medical Association. Sugar tax needed in war on obesity. In: Aust. Med. Assoc. 2018. https://ama.com.au/media/sugar-tax-needed-war-obesity. Accessed 7 Sep 2020.
Baker F, Lawrence M. The Politics of Sugar and Poor Nutrition in Australia. 2018. https://www.news.com.au/technology/science/human-body/sweet-power-the-politics-of-sugar-sugary-drinks-and-poor-nutrition-in-australia/news-story/8ef37f1ec8b03ff62803546f879adeec. Accessed 7 Sep 2020.
Special Broadcasting Service. Federal Government rejects renewed calls for sugar tax to curb obesity. In: SBS News. 2018. https://www.sbs.com.au/news/federal-government-rejects-renewed-calls-for-sugar-tax-to-curb-obesity. Accessed 7 Sep 2020.
Whelan M. No plans for sugar tax, says Labor. In: Newctle. Her. 2018. https://www.newcastleherald.com.au/story/5375676/no-plans-for-sugar-tax-says-labor/. Accessed 7 Sep 2020.
Sacks G. How much longer do we need to wait for Australia to implement a sugary drinks tax? In: The Conversation. 2021. http://theconversation.com/how-much-longer-do-we-need-to-wait-for-australia-to-implement-a-sugary-drinks-tax-162434. Accessed 12 Jul 2021.
Lal A, Mantilla-Herrera AM, Veerman L, et al. Modelled health benefits of a sugar-sweetened beverage tax across different socioeconomic groups in Australia: a cost-effectiveness and equity analysis. PLoS Med. 2017;14: e1002326. https://doi.org/10.1371/journal.pmed.1002326.
Colchero MA, Salgado JC, Unar-Munguía M, et al. Price elasticity of the demand for sugar sweetened beverages and soft drinks in Mexico. Econ Hum Biol. 2015;19:129–37. https://doi.org/10.1016/j.ehb.2015.08.007.
Guerrero-López CM, Unar-Munguía M, Colchero MA. Price elasticity of the demand for soft drinks, other sugar-sweetened beverages and energy dense food in Chile. BMC Public Health. 2017;17:180. https://doi.org/10.1186/s12889-017-4098-x.
Sharma A, Hauck K, Hollingsworth B, Siciliani L. The effects of taxing sugar-sweetened beverages across different income groups. Health Econ. 2014;23:1159–84. https://doi.org/10.1002/hec.3070.
Cameron CM, Scuffham PA, Spinks A, et al. Environments for healthy living (EFHL) Griffith birth cohort study: background and methods. Matern Child Health J. 2012;16:1896–905. https://doi.org/10.1007/s10995-011-0940-4.
Food Regulation Standing Committee. Policy Paper: Labelling of sugars on packaged foods and drinks. 2019. https://foodregulation.gov.au/internet/fr/publishing.nsf/Content/C6995F10A56B5D56CA2581EE00177CA8/$File/FRSC-Policy-Paper-Labelling-of-sugars-on-packaged-foods-and-drinks-2019-06.pdf. Accessed 20 Jun 2020.
Louviere JJ, Flynn TN, Carson RT. Discrete choice experiments are not conjoint analysis. J Choice Model. 2010;3:57–72. https://doi.org/10.1016/S1755-5345(13)70014-9.
Hensher DA, Rose JM, Greene WH (2005) Applied choice analysis: a primer, 1st edn. Cambridge University Press, Cambridge
Ballco P, de Magistris T, Caputo V. Consumer preferences for nutritional claims: an exploration of attention and choice based on an eye-tracking choice experiment. Food Res Int. 2019;116:37–48. https://doi.org/10.1016/j.foodres.2018.12.031.
Blake MR, Lancsar E, Peeters A, Backholer K. Sugar-sweetened beverage price elasticities in a hypothetical convenience store. Soc Sci Med. 2019;225:98–107. https://doi.org/10.1016/j.socscimed.2019.02.021.
Blake MR, Lancsar E, Peeters A, Backholer K. The effect of sugar-sweetened beverage price increases and educational messages on beverage purchasing behavior among adults. Appetite. 2018;126:156–62. https://doi.org/10.1016/j.appet.2018.03.012.
Blake MR, Peeters A, Lancsar E, et al. Retailer-led sugar-sweetened beverage price increase reduces purchases in a hospital convenience store in Melbourne, Australia: a mixed methods evaluation. J Acad Nutr Diet. 2018;118:1027-1036.e8. https://doi.org/10.1016/j.jand.2017.06.367.
Yang O, Sivey PM, de Silva A, Scott A. Preschool children’s demand for sugar sweetened beverages: evidence from stated-preference panel data. Melb Inst Work Pap. 2016;25:2–60.
Yang Y, Hobbs JE. How do cultural worldviews shape food technology perceptions? Evidence from a discrete choice experiment. J Agric Econ. 2020;71:465–92. https://doi.org/10.1111/1477-9552.12364.
Moretto N, Kendall E, Whitty J, et al. Yes, the government should tax soft drinks: findings from a Citizens’ Jury in Australia. Int J Environ Res Public Health. 2014;11:2456–71. https://doi.org/10.3390/ijerph110302456.
McFadden D (1974) Conditional logit analysis of qualitative choice behavior. In: Frontiers in Econometrics. pp 105–142
Hole AR. Fitting mixed logit models by using maximum simulated likelihood. Stata J. 2007;7:388–401.
McFadden D, Train K. Mixed MNL models for discrete response. J Appl Econ. 2000;15:447–70.
Hensher DA, Greene WH. The Mixed Logit model: the state of practice. Transportation. 2003;30:133–76. https://doi.org/10.1023/A:1022558715350.
Revelt D, Train K. Mixed logit with repeated choices: households’ choices of appliance efficiency level. Rev Econ Stat. 1998;80:647–57.
Johnson R, Orme B (2003) Getting the Most from CBC. Sequim: Sawtooth Software Research Paper Series. Sawtooth Software
Ryan M, Gerard K, Amaya-Amaya M. Examining the preferences of health care providers. In: Using discrete choice experiments to value health and health care. Dordrecht: Springer; 2008. p. 153–71.
McFadden D. The choice theory approach to market research. Mark Sci. 1986;5:275–97.
Layton D, Brown G. Heterogeneous preferences regarding global climate change | the review of economics and statistics | MIT Press Journals. Rev Econ Stat. 2000;82:616–24.
Scarpa R, Alberini A. Applications of simulation methods in environmental and resource economics. Dordrecht: Springer Netherlands; 2005.
Train KE. Discrete Choice Methods with Simulation. In: Camb. Core. 2009. /core/books/discrete-choice-methods-with-simulation/5F5A1F926D5043F84A1CE1CFA8B93A73. Accessed 26 Feb 2020.
Backholer K, Blake M, Vandevijvere S. Sugar-sweetened beverage taxation: an update on the year that was 2017. Public Health Nutr. 2017;20:3219–24. https://doi.org/10.1017/S1368980017003329.
Collin LJ, Judd S, Safford M, et al. Association of sugary beverage consumption with mortality risk in US adults: a secondary analysis of data from the REGARDS study. JAMA Netw Open. 2019;2:e193121–e193121. https://doi.org/10.1001/jamanetworkopen.2019.3121.
Gill JM, Sattar N. Fruit juice: just another sugary drink? Lancet Diabetes Endocrinol. 2014;2:444–6.
Heyman MB, Abrams SA. Fruit juice in infants, children, and adolescents: current recommendations. Pediatrics. 2017;139: e20170967. https://doi.org/10.1542/peds.2017-0967.
Wojcicki JM, Heyman MB. Reducing childhood obesity by eliminating 100% fruit juice. Am J Public Health. 2012;102:1630–3. https://doi.org/10.2105/AJPH.2012.300719.
Alvarado M, Unwin N, Sharp SJ, et al. Assessing the impact of the Barbados sugar-sweetened beverage tax on beverage sales: an observational study. Int J Behav Nutr Phys Act. 2019;16:13. https://doi.org/10.1186/s12966-019-0776-7.
Alsukait R, Wilde P, Bleich S, et al. Evaluating Saudi Arabia’s 50% carbonated drink excise tax: changes in prices and volume sales. Econ Hum Biol. 2020;38: 100868. https://doi.org/10.1016/j.ehb.2020.100868.
Waterlander WE, Ni Mhurchu C, Steenhuis IHM. Effects of a price increase on purchases of sugar sweetened beverages. Results from a randomized controlled trial. Appetite. 2014;78:32–9. https://doi.org/10.1016/j.appet.2014.03.012.
Briggs ADM, Mytton OT, Kehlbacher A, et al. Overall and income specific effect on prevalence of overweight and obesity of 20% sugar sweetened drink tax in UK: econometric and comparative risk assessment modelling study. BMJ. 2013. https://doi.org/10.1136/bmj.f6189.
Colchero MA, Rivera-Dommarco J, Popkin BM, Ng SW. In Mexico, evidence of sustained consumer response two years after implementing a sugar-sweetened beverage tax. Health Aff (Millwood). 2017;36:564–71. https://doi.org/10.1377/hlthaff.2016.1231.
Muhammad A, Meade B, Marquardt DR, Mozaffarian D. Global patterns in price elasticities of sugar-sweetened beverage intake and potential effectiveness of tax policy: a cross-sectional study of 164 countries by sex, age and global-income decile. BMJ Open. 2019;9: e026390. https://doi.org/10.1136/bmjopen-2018-026390.
Rangan AM, Kwan J, Flood VM, et al. Changes in “extra” food intake among Australian children between 1995 and 2007. Obes Res Clin Pract. 2011;5:e1–78. https://doi.org/10.1016/j.orcp.2010.12.001.
Lancsar E, Swait J. Reconceptualising the external validity of discrete choice experiments. Pharmacoeconomics. 2014;32:951–65. https://doi.org/10.1007/s40273-014-0181-7.
Falbe J, Rojas N, Grummon AH, Madsen KA. Higher retail prices of sugar-sweetened beverages 3 months after implementation of an excise tax in Berkeley, California. Am J Public Health. 2015;105:2194–201. https://doi.org/10.2105/AJPH.2015.302881.
Obesity Policy Coalition. Improving the effectiveness of the health star rating system. Australia: Obesity Policy Coalition; 2018.
Acknowledgements
We would like to acknowledge the contributions of Nicole Moretto from The Centre for Health Services Research and the participants of the Environments For Healthy Living study.
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Funding for the study was provided by the Australian National Preventative Health Agency (ANPHA). The funder had no role in the design, conduct or analysis of the study.
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The authors declare that they have no known competing financial interests or personal relationships that could have influenced the work reported in this paper.
Ethics approval
The survey was approved by the Griffith University Human Research Ethics Committee (GU Ref No: MED/32/12/HREC) and the Human Ethics Research Office, The University of Queensland, Australia (2020000329). The ethics approval covered consent to participate in the survey and to publish de-identified results from the data collected in the survey.
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VV: Methodology, software, formal analysis, writing—original draft, visualization. KHN: Methodology, software, resources, writing—review and editing, supervision. JAW: Conceptualization, methodology, writing—review and editing. TAC: Conceptualization, methodology, software, resources, writing—review and editing, supervision.
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Vo, V., Nguyen, KH., Whitty, J.A. et al. The Effect of Price Changes and Teaspoon Labelling on Intention to Purchase Sugar-Sweetened Beverages: A Discrete Choice Experiment. Appl Health Econ Health Policy 20, 199–212 (2022). https://doi.org/10.1007/s40258-021-00688-8
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DOI: https://doi.org/10.1007/s40258-021-00688-8