Broomhead, T. orcid.org/0000-0003-1925-891X, Ballas, D. orcid.org/0000-0003-4955-850X and Baker, S. (2023) Oral health, sugary drink consumption and the soft drink industry levy: using spatial microsimulation to understand tooth decay. Regional Science Policy & Practice, 15 (9). pp. 2253-2274. ISSN 1757-7802
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).
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2023 The Authors. This is an Open Access article distributed under the terms of the Creative Commons Attribution Licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
Keywords: | geography; oral health; policy; spatial microsimulation; sugar tax |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > School of Clinical Dentistry (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 16 Jun 2023 10:16 |
Last Modified: | 03 Oct 2024 16:05 |
Status: | Published |
Publisher: | Wiley |
Refereed: | Yes |
Identification Number: | 10.1111/rsp3.12682 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:200385 |