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The impact of individual and environmental interventions on income inequalities in sports participation: explorations with an agent-based model
BACKGROUND: Income inequalities in sports participation are shaped by a system in which individuals and the environment interact. We developed an agent-based model (ABM) that could represent this system and used it to provide a proof-of-concept of its potential to explore the impact of individual an...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6211418/ https://www.ncbi.nlm.nih.gov/pubmed/30382862 http://dx.doi.org/10.1186/s12966-018-0740-y |
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author | Blok, David J. van Lenthe, Frank J. de Vlas, Sake J. |
author_facet | Blok, David J. van Lenthe, Frank J. de Vlas, Sake J. |
author_sort | Blok, David J. |
collection | PubMed |
description | BACKGROUND: Income inequalities in sports participation are shaped by a system in which individuals and the environment interact. We developed an agent-based model (ABM) that could represent this system and used it to provide a proof-of-concept of its potential to explore the impact of individual and environmental interventions on reducing inequalities in sports participation. METHODS: Our ABM simulates sports participation of individuals in the Dutch city of Eindhoven. In the model, sports participation is determined by an individual’s tendency to start sports (at a fitness center, sports club or self-organized), which is influenced by attributes of individuals (i.e. age, sex, income), sports facilities (i.e. price, accessibility) and the social environment (i.e. social cohesion, social influence). Sports facilities can adapt to changes in the demand by closures or startups, which in turn influence the tendency of individuals to participate in sport. We explored the impact of five interventions scenarios. RESULTS: Explorative results show that providing health education, increasing the availability of sports facilities, lowering prices of facilities and improving safety levels can increase sports participation and modestly reduce absolute income inequalities in sports participation. The largest gain can be attained through health education, if the effect and reach is sufficiently large. Environmental interventions alone have a modest impact. Marked effects are only achieved after five to 10 years. CONCLUSIONS: ABMs have much potential to test the population-level effects of various interventions in the context of a system. Our study highlights the challenges of ABM development and reveals gaps in empirical data. With further refinements, our model could aid in understanding and finding optimal pathways to reduce income inequalities in sports participation. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12966-018-0740-y) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6211418 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-62114182018-11-08 The impact of individual and environmental interventions on income inequalities in sports participation: explorations with an agent-based model Blok, David J. van Lenthe, Frank J. de Vlas, Sake J. Int J Behav Nutr Phys Act Methodology BACKGROUND: Income inequalities in sports participation are shaped by a system in which individuals and the environment interact. We developed an agent-based model (ABM) that could represent this system and used it to provide a proof-of-concept of its potential to explore the impact of individual and environmental interventions on reducing inequalities in sports participation. METHODS: Our ABM simulates sports participation of individuals in the Dutch city of Eindhoven. In the model, sports participation is determined by an individual’s tendency to start sports (at a fitness center, sports club or self-organized), which is influenced by attributes of individuals (i.e. age, sex, income), sports facilities (i.e. price, accessibility) and the social environment (i.e. social cohesion, social influence). Sports facilities can adapt to changes in the demand by closures or startups, which in turn influence the tendency of individuals to participate in sport. We explored the impact of five interventions scenarios. RESULTS: Explorative results show that providing health education, increasing the availability of sports facilities, lowering prices of facilities and improving safety levels can increase sports participation and modestly reduce absolute income inequalities in sports participation. The largest gain can be attained through health education, if the effect and reach is sufficiently large. Environmental interventions alone have a modest impact. Marked effects are only achieved after five to 10 years. CONCLUSIONS: ABMs have much potential to test the population-level effects of various interventions in the context of a system. Our study highlights the challenges of ABM development and reveals gaps in empirical data. With further refinements, our model could aid in understanding and finding optimal pathways to reduce income inequalities in sports participation. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12966-018-0740-y) contains supplementary material, which is available to authorized users. BioMed Central 2018-11-01 /pmc/articles/PMC6211418/ /pubmed/30382862 http://dx.doi.org/10.1186/s12966-018-0740-y Text en © The Author(s). 2018 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. |
spellingShingle | Methodology Blok, David J. van Lenthe, Frank J. de Vlas, Sake J. The impact of individual and environmental interventions on income inequalities in sports participation: explorations with an agent-based model |
title | The impact of individual and environmental interventions on income inequalities in sports participation: explorations with an agent-based model |
title_full | The impact of individual and environmental interventions on income inequalities in sports participation: explorations with an agent-based model |
title_fullStr | The impact of individual and environmental interventions on income inequalities in sports participation: explorations with an agent-based model |
title_full_unstemmed | The impact of individual and environmental interventions on income inequalities in sports participation: explorations with an agent-based model |
title_short | The impact of individual and environmental interventions on income inequalities in sports participation: explorations with an agent-based model |
title_sort | impact of individual and environmental interventions on income inequalities in sports participation: explorations with an agent-based model |
topic | Methodology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6211418/ https://www.ncbi.nlm.nih.gov/pubmed/30382862 http://dx.doi.org/10.1186/s12966-018-0740-y |
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