IDEAS home Printed from https://ideas.repec.org/a/bla/rgscpp/v15y2023i9p2253-2273.html
   My bibliography  Save this article

Oral health, sugary drink consumption and the soft drink industry levy: Using spatial microsimulation to understand tooth decay

Author

Listed:
  • Tom Broomhead
  • Dimitris Ballas
  • Sarah Baker

Abstract

Spatial microsimulation is a powerful tool for creating large‐scale population datasets that can be used to assess spatial phenomena in health‐related outcomes. Despite this, it remains underutilized within dental public health. This paper outlines the development of an oral health focused microsimulation model for Sheffield (UK, SimSheffield), and how this can be used to assess potential socio‐spatial impacts of a sugar tax which was introduced in the United Kingdom in 2016 and is known as the Soft Drink Industry Levy (SDIL). Exploratory analysis showed areas paying more SDIL were not those with the highest tooth decay or deprivation scores as might be hoped (in the first case) and expected from the literature (in the second). La microsimulación espacial es una poderosa herramienta para crear conjuntos de datos poblacionales a gran escala que pueden utilizarse para evaluar fenómenos espaciales en resultados relacionados con la salud. A pesar de ello, sigue estando infrautilizada dentro de la salud pública dental. En este artículo se presenta el desarrollo de un modelo de microsimulación centrado en la salud bucodental para Sheffield (Reino Unido, SimSheffield), y cómo puede utilizarse para evaluar los posibles impactos socioespaciales del impuesto sobre el azúcar que se introdujo en el Reino Unido en 2016, conocido como el impuesto a la industria de bebidas refrescantes (SDIL, por sus siglas en inglés). El análisis exploratorio demostró que las zonas que pagaban más SDIL no eran las que presentaban mayores índices de caries o de privación, como cabría asumir (en el primer caso) y esperar de la bibliografía (en el segundo). 空間マイクロシミュレーションは、健康関連の転帰における空間的現象の評価に使用することができる大規模集団データセットを作成する強力なツールである。しかし、歯科公衆衛生においては十分に利用されていない。本稿では、シェフィールド (英国)の口腔衛生に焦点を当てたマイクロシミュレーションモデル (SimSheffield)の開発と、これが、清涼飲料水業界税 (Soft Drinks Industry Levy:SDIL)として知られている、2016年に英国で導入された砂糖税の潜在的な社会空間的影響の評価においてどのように使用できるかについて概説する。探索的解析では、SDILの額がより大きい地域は、(第1の例で)期待されていたように、また(第2の例で)文献から予想されていたように、最も高い虫歯スコアまたは抜歯スコアを有する地域ではないことが示された。

Suggested Citation

  • Tom Broomhead & Dimitris Ballas & Sarah Baker, 2023. "Oral health, sugary drink consumption and the soft drink industry levy: Using spatial microsimulation to understand tooth decay," Regional Science Policy & Practice, Wiley Blackwell, vol. 15(9), pages 2253-2273, December.
    • Handle: RePEc:bla:rgscpp:v:15:y:2023:i:9:p:2253-2273
    DOI: 10.1111/rsp3.12682
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/rsp3.12682
    Download Restriction: no
    File URL: https://libkey.io/10.1111/rsp3.12682?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Robert Tanton & Paul Williamson & Ann Harding, 2014. "Comparing Two Methods of Reweighting a Survey File to Small Area Data," International Journal of Microsimulation, International Microsimulation Association, vol. 7(1), pages 76-99.
    2. Robert Tanton, 2014. "A Review of Spatial Microsimulation Methods," International Journal of Microsimulation, International Microsimulation Association, vol. 7(1), pages 4-25.
    3. Puhl, R.M. & Heuer, C.A., 2010. "Obesity stigma: Important considerations for public health," American Journal of Public Health, American Public Health Association, vol. 100(6), pages 1019-1028.
    4. Kao, Kai-Erh & Jones, Amanda C. & Ohinmaa, Arto & Paulden, Mike, 2020. "The health and financial impacts of a sugary drink tax across different income groups in Canada," Economics & Human Biology, Elsevier, vol. 38(C).
    5. Robert Tanton & Yogi Vidyattama & Binod Nepal & Justine McNamara, 2011. "Small area estimation using a reweighting algorithm," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 174(4), pages 931-951, October.
    6. Edwards, Kimberley L. & Clarke, Graham P., 2009. "The design and validation of a spatial microsimulation model of obesogenic environments for children in Leeds, UK: SimObesity," Social Science & Medicine, Elsevier, vol. 69(7), pages 1127-1134, October.
    7. Macintyre, Sally & Ellaway, Anne & Cummins, Steven, 2002. "Place effects on health: how can we conceptualise, operationalise and measure them?," Social Science & Medicine, Elsevier, vol. 55(1), pages 125-139, July.
    8. Dianna M. Smith & Alison Heppenstall & Monique Campbell, 2021. "Estimating Health over Space and Time: A Review of Spatial Microsimulation Applied to Public Health," J, MDPI, vol. 4(2), pages 1-11, June.
    9. Moon, Graham & Quarendon, Gemma & Barnard, Steve & Twigg, Liz & Blyth, Bill, 2007. "Fat nation: Deciphering the distinctive geographies of obesity in England," Social Science & Medicine, Elsevier, vol. 65(1), pages 20-31, July.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Cathal O'Donoghue & Karyn Morrissey & John Lennon, 2014. "Spatial Microsimulation Modelling: a Review of Applications and Methodological Choices," International Journal of Microsimulation, International Microsimulation Association, vol. 7(1), pages 26-75.
    2. Robert Tanton, 2018. "Spatial Microsimulation: Developments and Potential Future Directions," International Journal of Microsimulation, International Microsimulation Association, vol. 11(1), pages 143-161.
    3. Frederik Priem & Philip Stessens & Frank Canters, 2020. "Microsimulation of Residential Activity for Alternative Urban Development Scenarios: A Case Study on Brussels and Flemish Brabant," Sustainability, MDPI, vol. 12(6), pages 1-28, March.
    4. M. Esteban Muñoz H. & Ivan Dochev & Hannes Seller & Irene Peters, 2016. "Constructing a Synthetic City for Estimating Spatially Disaggregated Heat Demand," International Journal of Microsimulation, International Microsimulation Association, vol. 9(3), pages 66-88.
    5. Alberto Vitalini & Simona Ballabio & Flavio Verrecchia, 2024. "Rebuilding a pseudo population register for estimating physical vulnerability at the local level: a case study of spatial microsimulation in Sondrio," RIEDS - Rivista Italiana di Economia, Demografia e Statistica - The Italian Journal of Economic, Demographic and Statistical Studies, SIEDS Societa' Italiana di Economia Demografia e Statistica, vol. 78(1), pages 55-64, January-M.
    6. Robert Tanton & Paul Williamson & Ann Harding, 2014. "Comparing Two Methods of Reweighting a Survey File to Small Area Data," International Journal of Microsimulation, International Microsimulation Association, vol. 7(1), pages 76-99.
    7. Mohamed Khachman & Catherine Morency & Francesco Ciari, 2024. "Integrated multiresolution framework for spatialized population synthesis," Transportation, Springer, vol. 51(3), pages 823-852, June.
    8. Kerstin Hermes & Michael Poulsen, 2013. "The Intraurban Geography of Generalised Trust in Sydney," Environment and Planning A, , vol. 45(2), pages 276-294, February.
    9. Aránzazu Hernández-Yumar & Maria Wemrell & Ignacio Abásolo-Alessón & Beatriz González López-Valcárcel & Juan Merlo, 2023. "Impact of the Economic Crisis on Body Mass Index in Spain: An Intersectional Multilevel Analysis Using a Socioeconomic and Regional Perspective," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 42(4), pages 1-31, August.
    10. Robin Lovelace & Mark Birkin & Dimitris Ballas & Eveline van Leeuwen, 2015. "Evaluating the Performance of Iterative Proportional Fitting for Spatial Microsimulation: New Tests for an Established Technique," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 18(2), pages 1-21.
    11. Yogi Vidyattama & Riyana Miranti & Justine McNamara & Robert Tanton & Ann Harding, 2013. "The Challenges of Combining Two Databases in Small-Area Estimation: An Example Using Spatial Microsimulation of Child Poverty," Environment and Planning A, , vol. 45(2), pages 344-361, February.
    12. Kate A Timmins & Kimberley L Edwards, 2016. "Validation of Spatial Microsimulation Models: a Proposal to Adopt the Bland-Altman Method," International Journal of Microsimulation, International Microsimulation Association, vol. 9(2), pages 106-122.
    13. David Consolazio & Annemarie Koster & Simone Sarti & Miranda T Schram & Coen D A Stehouwer & Erik J Timmermans & Anke Wesselius & Hans Bosma, 2020. "Neighbourhood property value and type 2 diabetes mellitus in the Maastricht study: A multilevel study," PLOS ONE, Public Library of Science, vol. 15(6), pages 1-13, June.
    14. Bolte, Gabriele, 2018. "Epidemiologische Methoden und Erkenntnisse als eine Grundlage für Stadtplanung und gesundheitsfördernde Stadtentwicklung," Forschungsberichte der ARL: Aufsätze, in: Baumgart, Sabine & Köckler, Heike & Ritzinger, Anne & Rüdiger, Andrea (ed.), Planung für gesundheitsfördernde Städte, volume 8, pages 118-134, ARL – Akademie für Raumentwicklung in der Leibniz-Gemeinschaft.
    15. Mitchell, Richard & Dujardin, Claire & Popham, Frank & Farfan Portet, Maria-Isabel & Thomas, Isabelle & Lorant, Vincent, 2011. "Using matched areas to explore international differences in population health," Social Science & Medicine, Elsevier, vol. 73(8), pages 1113-1122.
    16. Yoon-Sun Jung & Ki-Beom Kim & Seok-Jun Yoon, 2020. "Factors Associated with Regional Years of Life Lost (YLLs) due to Suicide in South Korea," IJERPH, MDPI, vol. 17(14), pages 1-9, July.
    17. Maheshwar Rao & Robert Tanton & Yogi Vidyattama, 2013. "‘A Systems Approach to Analyse the Impacts of Water Policy Reform in the Murray-Darling Basin: a conceptual and an analytical framework’," NATSEM Working Paper Series 13/22, University of Canberra, National Centre for Social and Economic Modelling.
    18. Spielman, Seth E. & Yoo, Eun-hye, 2009. "The spatial dimensions of neighborhood effects," Social Science & Medicine, Elsevier, vol. 68(6), pages 1098-1105, March.
    19. Allison Williams & Peter Kitchen, 2012. "Sense of Place and Health in Hamilton, Ontario: A Case Study," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 108(2), pages 257-276, September.
    20. Dianna M Smith & Graham P Clarke & Kirk Harland, 2009. "Improving the Synthetic Data Generation Process in Spatial Microsimulation Models," Environment and Planning A, , vol. 41(5), pages 1251-1268, May.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bla:rgscpp:v:15:y:2023:i:9:p:2253-2273. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: http://www.blackwellpublishing.com/journal.asp?ref=1757-7802 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.