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Potential Effect of Real-world Junk Food and Sugar-sweetened Beverage Taxes on Population Health, Health System Costs and Greenhouse Gas Emissions in New Zealand: a Modelling Study

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Date 2022 Jul 11
PMID 35814724
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Abstract

Poor diet is a major risk factor for excess weight gain and obesity-related diseases, including cardiovascular diseases, type 2 diabetes mellitus, osteoarthritis and several cancers. This paper aims to assess the potential impacts of real-world food and beverage taxes on change in dietary risk factors, health gains (in quality-adjusted life years (QALYs)), health system costs and greenhouse gas (GHG) emissions as if they had all been implemented in New Zealand (NZ). Ten taxes or tax packages were modelled. A proportional multistate life table model was used to predict resultant QALYs and costs over the remaining lifespan of the NZ population alive in 2011, as well as GHG emissions. QALYs ranged from 12.5 (95% uncertainty interval (UI) 10.2 to 15.0; 3% discount rate) per 1000 population for the import tax on sugar-sweetened beverages (SSB) in Palau to 143 (95% UI 118 to 171) per 1000 population for the excise duties on saturated fat, chocolate and sweets in Denmark, while health expenditure savings ranged from 2011 NZ$245 (95% UI 188 to 310; 2020 US$185) per capita to NZ$2770 (95% UI 2140 to 3480; US$2100) per capita, respectively. The modelled taxes resulted in decreases in GHG emissions from baseline diets, ranging from -0.2% for the tax on SSB in Barbados to -2.8% for Denmark's tax package. There is strong evidence for the implementation of food and beverage tax packages in NZ or similar high-income settings.

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References
1.
Nnoaham K, Sacks G, Rayner M, Mytton O, Gray A . Modelling income group differences in the health and economic impacts of targeted food taxes and subsidies. Int J Epidemiol. 2009; 38(5):1324-33. DOI: 10.1093/ije/dyp214. View

2.
Malik V, Willett W, Hu F . Global obesity: trends, risk factors and policy implications. Nat Rev Endocrinol. 2012; 9(1):13-27. DOI: 10.1038/nrendo.2012.199. View

3.
Hernandez-F M, Batis C, Rivera J, Colchero M . Reduction in purchases of energy-dense nutrient-poor foods in Mexico associated with the introduction of a tax in 2014. Prev Med. 2018; 118:16-22. PMC: 6322966. DOI: 10.1016/j.ypmed.2018.09.019. View

4.
Ni Mhurchu C, Eyles H, Genc M, Scarborough P, Rayner M, Mizdrak A . Effects of Health-Related Food Taxes and Subsidies on Mortality from Diet-Related Disease in New Zealand: An Econometric-Epidemiologic Modelling Study. PLoS One. 2015; 10(7):e0128477. PMC: 4496093. DOI: 10.1371/journal.pone.0128477. View

5.
Hall K, Sacks G, Chandramohan D, Chow C, Wang Y, Gortmaker S . Quantification of the effect of energy imbalance on bodyweight. Lancet. 2011; 378(9793):826-37. PMC: 3880593. DOI: 10.1016/S0140-6736(11)60812-X. View