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Simulation models of sugary drink policies: A scoping review
INTRODUCTION: Simulation modeling methods are an increasingly common tool for projecting the potential health effects of policies to decrease sugar-sweetened beverage (SSB) intake. However, it remains unknown which SSB policies are understudied and how simulation modeling methods could be improved....
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9529101/ https://www.ncbi.nlm.nih.gov/pubmed/36191026 http://dx.doi.org/10.1371/journal.pone.0275270 |
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author | Smith, Natalie Riva Grummon, Anna H. Ng, Shu Wen Wright, Sarah Towner Frerichs, Leah |
author_facet | Smith, Natalie Riva Grummon, Anna H. Ng, Shu Wen Wright, Sarah Towner Frerichs, Leah |
author_sort | Smith, Natalie Riva |
collection | PubMed |
description | INTRODUCTION: Simulation modeling methods are an increasingly common tool for projecting the potential health effects of policies to decrease sugar-sweetened beverage (SSB) intake. However, it remains unknown which SSB policies are understudied and how simulation modeling methods could be improved. To inform next steps, we conducted a scoping review to characterize the (1) policies considered and (2) major characteristics of SSB simulation models. METHODS: We systematically searched 7 electronic databases in 2020, updated in 2021. Two investigators independently screened articles to identify peer-reviewed research using simulation modeling to project the impact of SSB policies on health outcomes. One investigator extracted information about policies considered and key characteristics of models from the full text of included articles. Data were analyzed in 2021–22. RESULTS: Sixty-one articles were included. Of these, 50 simulated at least one tax policy, most often an ad valorem tax (e.g., 20% tax, n = 25) or volumetric tax (e.g., 1 cent-per-fluid-ounce tax, n = 23). Non-tax policies examined included bans on SSB purchases (n = 5), mandatory reformulation (n = 3), warning labels (n = 2), and portion size policies (n = 2). Policies were typically modeled in populations accounting for age and gender or sex attributes. Most studies focused on weight-related outcomes (n = 54), used cohort, lifetable, or microsimulation modeling methods (n = 34), conducted sensitivity or uncertainty analyses (n = 56), and included supplementary materials (n = 54). Few studies included stakeholders at any point in their process (n = 9) or provided replication code/data (n = 8). DISCUSSION: Most simulation modeling of SSB policies has focused on tax policies and has been limited in its exploration of heterogenous impacts across population groups. Future research would benefit from refined policy and implementation scenario specifications, thorough assessments of the equity impacts of policies using established methods, and standardized reporting to improve transparency and consistency. |
format | Online Article Text |
id | pubmed-9529101 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-95291012022-10-04 Simulation models of sugary drink policies: A scoping review Smith, Natalie Riva Grummon, Anna H. Ng, Shu Wen Wright, Sarah Towner Frerichs, Leah PLoS One Research Article INTRODUCTION: Simulation modeling methods are an increasingly common tool for projecting the potential health effects of policies to decrease sugar-sweetened beverage (SSB) intake. However, it remains unknown which SSB policies are understudied and how simulation modeling methods could be improved. To inform next steps, we conducted a scoping review to characterize the (1) policies considered and (2) major characteristics of SSB simulation models. METHODS: We systematically searched 7 electronic databases in 2020, updated in 2021. Two investigators independently screened articles to identify peer-reviewed research using simulation modeling to project the impact of SSB policies on health outcomes. One investigator extracted information about policies considered and key characteristics of models from the full text of included articles. Data were analyzed in 2021–22. RESULTS: Sixty-one articles were included. Of these, 50 simulated at least one tax policy, most often an ad valorem tax (e.g., 20% tax, n = 25) or volumetric tax (e.g., 1 cent-per-fluid-ounce tax, n = 23). Non-tax policies examined included bans on SSB purchases (n = 5), mandatory reformulation (n = 3), warning labels (n = 2), and portion size policies (n = 2). Policies were typically modeled in populations accounting for age and gender or sex attributes. Most studies focused on weight-related outcomes (n = 54), used cohort, lifetable, or microsimulation modeling methods (n = 34), conducted sensitivity or uncertainty analyses (n = 56), and included supplementary materials (n = 54). Few studies included stakeholders at any point in their process (n = 9) or provided replication code/data (n = 8). DISCUSSION: Most simulation modeling of SSB policies has focused on tax policies and has been limited in its exploration of heterogenous impacts across population groups. Future research would benefit from refined policy and implementation scenario specifications, thorough assessments of the equity impacts of policies using established methods, and standardized reporting to improve transparency and consistency. Public Library of Science 2022-10-03 /pmc/articles/PMC9529101/ /pubmed/36191026 http://dx.doi.org/10.1371/journal.pone.0275270 Text en © 2022 Smith et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Smith, Natalie Riva Grummon, Anna H. Ng, Shu Wen Wright, Sarah Towner Frerichs, Leah Simulation models of sugary drink policies: A scoping review |
title | Simulation models of sugary drink policies: A scoping review |
title_full | Simulation models of sugary drink policies: A scoping review |
title_fullStr | Simulation models of sugary drink policies: A scoping review |
title_full_unstemmed | Simulation models of sugary drink policies: A scoping review |
title_short | Simulation models of sugary drink policies: A scoping review |
title_sort | simulation models of sugary drink policies: a scoping review |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9529101/ https://www.ncbi.nlm.nih.gov/pubmed/36191026 http://dx.doi.org/10.1371/journal.pone.0275270 |
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