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Socioeconomic inequalities in sport participation: pattern per sport and time trends – a repeated cross-sectional study
BACKGROUND: Sport participation is an important component of a healthy lifestyle and is known to be more common among privileged individuals. However, few studies examined socio-demographic patterns of participation by type of activity. This study aims at quantifying socio-economic inequalities in s...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10141913/ https://www.ncbi.nlm.nih.gov/pubmed/37118691 http://dx.doi.org/10.1186/s12889-023-15650-7 |
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author | Richard, Viviane Piumatti, Giovanni Pullen, Nick Lorthe, Elsa Guessous, Idris Cantoreggi, Nicola Stringhini, Silvia |
author_facet | Richard, Viviane Piumatti, Giovanni Pullen, Nick Lorthe, Elsa Guessous, Idris Cantoreggi, Nicola Stringhini, Silvia |
author_sort | Richard, Viviane |
collection | PubMed |
description | BACKGROUND: Sport participation is an important component of a healthy lifestyle and is known to be more common among privileged individuals. However, few studies examined socio-demographic patterns of participation by type of activity. This study aims at quantifying socio-economic inequalities in sport participation by sport type, and to analyse their trend over 15 years. METHODS: We used 2005–2019 data from the Bus Santé study, a yearly population-based cross-sectional survey of Geneva adults. Sport participation was defined as reporting at least one sporting activity over the previous week; educational level, household income and occupational position were used as indicators of socio-economic position. Socio-economic inequalities in sport participation, and their trend over time, were examined using the relative and slope indexes of inequality (RII/SII). RESULTS: Out of 7769 participants (50.8% women, mean age 46 years old), 60% participated in a sporting activity. Results showed that the higher the socioeconomic circumstances, the higher the sport participation (RII = 1.78; 95% Confidence Interval (CI): 1.64–1.92; SII = 0.33; 95%CI: 0.29–0.37 for education). Relative inequalities varied per sport e.g., 0.68 (95%CI: 0.44–1.07) for football and 4.25 (95%CI: 2.68–6.75) for tennis/badminton for education. Yearly absolute inequalities in sport participation tended to increase between 2005 and 2019 for household income, especially among women and older adults. CONCLUSIONS: We observed strong socio-economic inequalities in sport participation in Geneva, with different magnitude depending on the sport type. These inequalities seemed to increase over the 2005–2019 period. Our results call for tailored measures to promote the participation of socially disadvantaged populations in sporting activities. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-023-15650-7. |
format | Online Article Text |
id | pubmed-10141913 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-101419132023-04-29 Socioeconomic inequalities in sport participation: pattern per sport and time trends – a repeated cross-sectional study Richard, Viviane Piumatti, Giovanni Pullen, Nick Lorthe, Elsa Guessous, Idris Cantoreggi, Nicola Stringhini, Silvia BMC Public Health Research BACKGROUND: Sport participation is an important component of a healthy lifestyle and is known to be more common among privileged individuals. However, few studies examined socio-demographic patterns of participation by type of activity. This study aims at quantifying socio-economic inequalities in sport participation by sport type, and to analyse their trend over 15 years. METHODS: We used 2005–2019 data from the Bus Santé study, a yearly population-based cross-sectional survey of Geneva adults. Sport participation was defined as reporting at least one sporting activity over the previous week; educational level, household income and occupational position were used as indicators of socio-economic position. Socio-economic inequalities in sport participation, and their trend over time, were examined using the relative and slope indexes of inequality (RII/SII). RESULTS: Out of 7769 participants (50.8% women, mean age 46 years old), 60% participated in a sporting activity. Results showed that the higher the socioeconomic circumstances, the higher the sport participation (RII = 1.78; 95% Confidence Interval (CI): 1.64–1.92; SII = 0.33; 95%CI: 0.29–0.37 for education). Relative inequalities varied per sport e.g., 0.68 (95%CI: 0.44–1.07) for football and 4.25 (95%CI: 2.68–6.75) for tennis/badminton for education. Yearly absolute inequalities in sport participation tended to increase between 2005 and 2019 for household income, especially among women and older adults. CONCLUSIONS: We observed strong socio-economic inequalities in sport participation in Geneva, with different magnitude depending on the sport type. These inequalities seemed to increase over the 2005–2019 period. Our results call for tailored measures to promote the participation of socially disadvantaged populations in sporting activities. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-023-15650-7. BioMed Central 2023-04-28 /pmc/articles/PMC10141913/ /pubmed/37118691 http://dx.doi.org/10.1186/s12889-023-15650-7 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Richard, Viviane Piumatti, Giovanni Pullen, Nick Lorthe, Elsa Guessous, Idris Cantoreggi, Nicola Stringhini, Silvia Socioeconomic inequalities in sport participation: pattern per sport and time trends – a repeated cross-sectional study |
title | Socioeconomic inequalities in sport participation: pattern per sport and time trends – a repeated cross-sectional study |
title_full | Socioeconomic inequalities in sport participation: pattern per sport and time trends – a repeated cross-sectional study |
title_fullStr | Socioeconomic inequalities in sport participation: pattern per sport and time trends – a repeated cross-sectional study |
title_full_unstemmed | Socioeconomic inequalities in sport participation: pattern per sport and time trends – a repeated cross-sectional study |
title_short | Socioeconomic inequalities in sport participation: pattern per sport and time trends – a repeated cross-sectional study |
title_sort | socioeconomic inequalities in sport participation: pattern per sport and time trends – a repeated cross-sectional study |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10141913/ https://www.ncbi.nlm.nih.gov/pubmed/37118691 http://dx.doi.org/10.1186/s12889-023-15650-7 |
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