Cargando…

Predictors of adverse gambling behaviours amongst elite athletes

Problem gambling levels amongst elite sportspeople are above populational baseline. We assess gambling in an elite Irish sporting population. An anonymous web-based questionnaire including the validated Problem Gambling Severity Index was distributed. Univariate and multivariate analyses were perfor...

Descripción completa

Detalles Bibliográficos
Autores principales: Turk, Matthew Adam, Murphy, Colm, McCaffrey, Jack, Murray, Kieran
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9841496/
https://www.ncbi.nlm.nih.gov/pubmed/36646773
http://dx.doi.org/10.1038/s41598-023-27469-8
_version_ 1784869854733402112
author Turk, Matthew Adam
Murphy, Colm
McCaffrey, Jack
Murray, Kieran
author_facet Turk, Matthew Adam
Murphy, Colm
McCaffrey, Jack
Murray, Kieran
author_sort Turk, Matthew Adam
collection PubMed
description Problem gambling levels amongst elite sportspeople are above populational baseline. We assess gambling in an elite Irish sporting population. An anonymous web-based questionnaire including the validated Problem Gambling Severity Index was distributed. Univariate and multivariate analyses were performed to evaluate predictors of moderate/high risk gambling. 608 players (mean age 24) were included. Seventy nine percent of respondents were current gamblers and 6% problem gamblers. Amongst high-risk gamblers, significantly more were male (100% vs 76%, p = 0.003), fewer completed university (52% vs 69%, p = 0.024), and more were smokers (48% vs 24%, p = 0.002). They were also more likely to avail of free online gambling offers (90% vs 44%, p < 0.001), gamble with teammates (52% vs 21%, p < 0.001) and have placed their first bet before age 16 (41% vs 19%, p = 0.003). In multivariate analysis, moderate/high risk gambling was associated with: male gender (OR = 8.9 [1.1–69], p = 0.035), no 3rd level education (OR = 2.5 [1.4–5.0], p = 0.002), free online gambling use (OR = 4.3 [2.1–5.3], p < 0.001), gambling with teammates (OR = 3.0 [1.7–5.3], p < 0.001), and being under 18 at first bet (OR = 2.0 [1.1–3.3], p = 0.013). This study shows a harmful gambling culture amongst elite Irish athletes. Male gender, lower educational status, free online gambling use, gambling with teammates and first bet at less than age 18 were associated with moderate/high risk gambling. These groups may benefit from targeted interventions.
format Online
Article
Text
id pubmed-9841496
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-98414962023-01-17 Predictors of adverse gambling behaviours amongst elite athletes Turk, Matthew Adam Murphy, Colm McCaffrey, Jack Murray, Kieran Sci Rep Article Problem gambling levels amongst elite sportspeople are above populational baseline. We assess gambling in an elite Irish sporting population. An anonymous web-based questionnaire including the validated Problem Gambling Severity Index was distributed. Univariate and multivariate analyses were performed to evaluate predictors of moderate/high risk gambling. 608 players (mean age 24) were included. Seventy nine percent of respondents were current gamblers and 6% problem gamblers. Amongst high-risk gamblers, significantly more were male (100% vs 76%, p = 0.003), fewer completed university (52% vs 69%, p = 0.024), and more were smokers (48% vs 24%, p = 0.002). They were also more likely to avail of free online gambling offers (90% vs 44%, p < 0.001), gamble with teammates (52% vs 21%, p < 0.001) and have placed their first bet before age 16 (41% vs 19%, p = 0.003). In multivariate analysis, moderate/high risk gambling was associated with: male gender (OR = 8.9 [1.1–69], p = 0.035), no 3rd level education (OR = 2.5 [1.4–5.0], p = 0.002), free online gambling use (OR = 4.3 [2.1–5.3], p < 0.001), gambling with teammates (OR = 3.0 [1.7–5.3], p < 0.001), and being under 18 at first bet (OR = 2.0 [1.1–3.3], p = 0.013). This study shows a harmful gambling culture amongst elite Irish athletes. Male gender, lower educational status, free online gambling use, gambling with teammates and first bet at less than age 18 were associated with moderate/high risk gambling. These groups may benefit from targeted interventions. Nature Publishing Group UK 2023-01-16 /pmc/articles/PMC9841496/ /pubmed/36646773 http://dx.doi.org/10.1038/s41598-023-27469-8 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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/) .
spellingShingle Article
Turk, Matthew Adam
Murphy, Colm
McCaffrey, Jack
Murray, Kieran
Predictors of adverse gambling behaviours amongst elite athletes
title Predictors of adverse gambling behaviours amongst elite athletes
title_full Predictors of adverse gambling behaviours amongst elite athletes
title_fullStr Predictors of adverse gambling behaviours amongst elite athletes
title_full_unstemmed Predictors of adverse gambling behaviours amongst elite athletes
title_short Predictors of adverse gambling behaviours amongst elite athletes
title_sort predictors of adverse gambling behaviours amongst elite athletes
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9841496/
https://www.ncbi.nlm.nih.gov/pubmed/36646773
http://dx.doi.org/10.1038/s41598-023-27469-8
work_keys_str_mv AT turkmatthewadam predictorsofadversegamblingbehavioursamongsteliteathletes
AT murphycolm predictorsofadversegamblingbehavioursamongsteliteathletes
AT mccaffreyjack predictorsofadversegamblingbehavioursamongsteliteathletes
AT murraykieran predictorsofadversegamblingbehavioursamongsteliteathletes