Taxing sugar-sweetened beverages: Knowledge, beliefs and where should the money go?

• Published in: Heliyon 2024-04, Vol.10 (8), p.e28226-e28226, Article e28226
• Main Authors: Azaad Moonesar, Immanuel, Al-Alawy, Khamis, Gaafar, Reem
• Format: Article
• Language: English
• Subjects: Public health action; Public health policy; Sugar-sweetened Beverage; Tax policy; UAE
• ISSN: 2405-8440; 2405-8440
• DOI: 10.1016/j.heliyon.2024.e28226

The Sugar-Sweetened Beverage (SSB) industry consciously and subconsciously influences consumers to buy its products. Countering unhealthy messaging and behaviour could be tackled through the SSB levy and allocation of revenue toward healthy lifestyle programs. Given the limited information in the UAE on demographic and consumer knowledge and beliefs and allocation of SSB levy, we conducted a study to explore this further. The study objectives were to a) explore the association between demographic factors (nationality, income and education) with knowledge and beliefs for SSB and b) explore participants' views on allocating SSB levy toward healthy lifestyle programs. A cross-sectional study of adults in the United Arab Emirates. The findings suggest knowledge was high for Sugar-Sweetened Beverages (SSB), obesity, and diabetes (1,231, 96.1%), and there was a high awareness of SSB tax (1,066, 83.2%). Knowledge and beliefs about Sugar-Sweetened Beverages were statistically significant for two demographic factors. There was support for the tax revenue to be spent on government programs and greater support for spending to be directed toward specific healthy lifestyle programs such as school health programmes (514, 39.8%), children's diet and nutrition programmes (497, 38.5%), physical activity programmes (480, 37.2%), among others. The findings shed light on the influence demographic factors have on knowledge and beliefs, public health gaps and potential areas for SSB levy expenditure. Further research is needed to understand how best to implement healthy lifestyle programs within the community to optimise coverage, cost-effectiveness, and health outcomes.