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      Modelling the potential impact of a sugar-sweetened beverage tax on stroke mortality, costs and health-adjusted life years in South Africa

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          Abstract

          Background

          Stroke poses a growing human and economic burden in South Africa. Excess sugar consumption, especially from sugar-sweetened beverages (SSBs), has been associated with increased obesity and stroke risk. Research shows that price increases for SSBs can influence consumption and modelling evidence suggests that taxing SSBs has the potential to reduce obesity and related diseases. This study estimates the potential impact of an SSB tax on stroke-related mortality, costs and health-adjusted life years in South Africa.

          Methods

          A proportional multi-state life table-based model was constructed in Microsoft Excel (2010). We used consumption data from the 2012 South African National Health and Nutrition Examination Survey, previously published own and cross price elasticities of SSBs and energy balance equations to estimate changes in daily energy intake and BMI arising from increased SSB prices. Stroke relative risk, and prevalent years lived with disability estimates from the Global Burden of Disease Study and modelled disease epidemiology estimates from a previous study, were used to estimate the effect of the BMI changes on the burden of stroke.

          Results

          Our model predicts that an SSB tax may avert approximately 72 000 deaths, 550 000 stroke-related health-adjusted life years and over ZAR5 billion, (USD400 million) in health care costs over 20 years (USD296-576 million). Over 20 years, the number of incident stroke cases may be reduced by approximately 85 000 and prevalent cases by about 13 000.

          Conclusions

          Fiscal policy has the potential, as part of a multi-faceted approach, to mitigate the growing burden of stroke in South Africa and contribute to the achievement of the target set by the Department of Health to reduce relative premature mortality (less than 60 years) from non-communicable diseases by the year 2020.

          Electronic supplementary material

          The online version of this article (doi:10.1186/s12889-016-3085-y) contains supplementary material, which is available to authorized users.

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          Most cited references32

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          Evidence that a tax on sugar sweetened beverages reduces the obesity rate: a meta-analysis

          Background Excess intake of sugar sweetened beverages (SSBs) has been shown to result in weight gain. To address the growing epidemic of obesity, one option is to combine programmes that target individual behaviour change with a fiscal policy such as excise tax on SSBs. This study evaluates the literature on SSB taxes or price increases, and their potential impact on consumption levels, obesity, overweight and body mass index (BMI). The possibility of switching to alternative drinks is also considered. Methods The following databases were used: Pubmed/Medline, The Cochrane Database of Systematic Reviews, Google Scholar, Econlit, National Bureau of Economics Research (NBER), Research Papers in Economics (RePEc). Articles published between January 2000 and January 2013, which reported changes in diet or BMI, overweight and/or obesity due to a tax on, or price change of, SSBs were included. Results Nine articles met the criteria for the meta-analysis. Six were from the USA and one each from Mexico, Brazil and France. All showed negative own-price elasticity, which means that higher prices are associated with a lower demand for SSBs. Pooled own price-elasticity was -1.299 (95% CI: -1.089 - -1.509). Four articles reported cross-price elasticities, three from the USA and one from Mexico; higher prices for SSBs were associated with an increased demand for alternative beverages such as fruit juice (0.388, 95% CI: 0.009 – 0.767) and milk (0.129, 95% CI: -0.085 – 0.342), and a reduced demand for diet drinks (-0.423, 95% CI: -0.628 - -1.219). Six articles from the USA showed that a higher price could also lead to a decrease in BMI, and decrease the prevalence of overweight and obesity. Conclusions Taxing SSBs may reduce obesity. Future research should estimate price elasticities in low- and middle-income countries and identify potential health gains and the wider impact on jobs, monetary savings to the health sector, implementation costs and government revenue. Context-specific cost-effectiveness studies would allow policy makers to weigh these factors.
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            Human and economic burden of stroke.

            A Di Carlo (2008)
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              Categorical versus continuous risk factors and the calculation of potential impact fractions.

              The potential impact fraction is a measure of effect that calculates the proportional change in disease risk after a change in the exposure of a related risk factor. Potential impact fractions are increasingly used to calculate attributable fractions when the lowest exposure is non-zero. Risk-factor exposure can be expressed as a categorical or a continuous variable. For a categorical risk factor, a change in risk-factor exposure can be expressed as a change in the proportion of the population in each category ('proportions shift'). For a continuous risk factor, the change is expressed as a change in its parameters ('distribution shift'). A third method ('RR shift') takes elements of both the categorical and the continuous approach. We compare the three calculation methods using hypothetical data on BMI and an intervention that affects the obese category. The 'proportion shift' calculation produces non-linear artefacts and is best avoided. The 'RR shift' and 'distribution shift' calculation require the estimation of an RR function to describe excess risk, but perform much better. The 'proportion shift' calculation is best avoided. The 'RR shift' and 'distribution shift' calculation produce virtually the same results. For evaluating high-risk strategies, the 'RR shift' calculation is the simplest and therefore preferred. The 'distribution shift' is best suited for evaluating population strategies.
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                Author and article information

                Contributors
                + 27 11 717 2083 , Karen.Hofman@wits.ac.za
                Journal
                BMC Public Health
                BMC Public Health
                BMC Public Health
                BioMed Central (London )
                1471-2458
                31 May 2016
                31 May 2016
                2016
                : 16
                : 405
                Affiliations
                [ ]PRICELESS-SA, MRC/Wits Rural Public, Health and Health Transitions Research Unit, School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
                [ ]School of Public Health, University of Queensland, Brisbane, Queensland Australia
                [ ]Population Health, Health Systems and Innovation (PHHSI), Human Sciences Research Council, Cape Town, South Africa
                Article
                3085
                10.1186/s12889-016-3085-y
                4886444
                27240422
                8a08782c-b09f-42c6-983f-23f8d77ed9ea
                © Manyema et al. 2016

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 3 September 2015
                : 9 May 2016
                Funding
                Funded by: IDRC
                Award ID: PROP020911E
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100001322, South African Medical Research Council (ZA);
                Award ID: D1305910-01
                Award Recipient :
                Funded by: The Centre for Disease Dynamics, Economics and Policy
                Award ID: OPP1098574
                Award Recipient :
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2016

                Public health
                sugar-sweetened beverages,stroke,modelling,mortality,health care costs
                Public health
                sugar-sweetened beverages, stroke, modelling, mortality, health care costs

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