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Once online poker, always online poker? Poker modality trajectories over two years

Online poker is considered more at-risk than land-based poker in terms of intense gambling behaviors and gambling problems. The development of many online gambling sites has raised public health concerns about the potential increase in online poker players. Longitudinal studies are useful to better...

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Autores principales: Dufour, Magali, Morvannou, Adèle, Laverdière, Émélie, Brunelle, Natacha, Kairouz, Sylvia, Nolin, Marc-Antoine, Nadeau, Louise, Dussault, Frédéric, Berbiche, Djamal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7244906/
https://www.ncbi.nlm.nih.gov/pubmed/32467840
http://dx.doi.org/10.1016/j.abrep.2020.100251
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author Dufour, Magali
Morvannou, Adèle
Laverdière, Émélie
Brunelle, Natacha
Kairouz, Sylvia
Nolin, Marc-Antoine
Nadeau, Louise
Dussault, Frédéric
Berbiche, Djamal
author_facet Dufour, Magali
Morvannou, Adèle
Laverdière, Émélie
Brunelle, Natacha
Kairouz, Sylvia
Nolin, Marc-Antoine
Nadeau, Louise
Dussault, Frédéric
Berbiche, Djamal
author_sort Dufour, Magali
collection PubMed
description Online poker is considered more at-risk than land-based poker in terms of intense gambling behaviors and gambling problems. The development of many online gambling sites has raised public health concerns about the potential increase in online poker players. Longitudinal studies are useful to better understand the evolution of gambling behaviors; however, very few consider online poker players. Using a prospective design, this study aims to identify online and land-based trajectories over a two-year period and the factors influencing those trajectories. Results are based on data collected at three time-points over the course of a prospective cohort study conducted in Quebec (n = 304). A latent class growth analysis was performed to determine trajectories based on the main poker modality played, either online or land-based poker. Multinomial multivariable logistic regression analyses were conducted to determine the correlates of poker playing trajectories. Over two years, three poker playing trajectories were identified, comprising two stable trajectories [stable land-based (51.5%) and stable online (36.3%)] and an unstable trajectory [unstable online land-based (12.1%)]. The second trajectory included online poker players at baseline who transitioned to land-based poker. Number of gambling activities increased the odds of being in the first trajectory as compared to the others. Severity of gambling problems was a significant predictor of the second “unstable” or the third “stable online” trajectories, but not for the first “stable land-based” poker trajectory. The majority of poker players remained in either the land-based or online trajectories over two years. No poker players transitioned from land-based to online poker.
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spelling pubmed-72449062020-05-27 Once online poker, always online poker? Poker modality trajectories over two years Dufour, Magali Morvannou, Adèle Laverdière, Émélie Brunelle, Natacha Kairouz, Sylvia Nolin, Marc-Antoine Nadeau, Louise Dussault, Frédéric Berbiche, Djamal Addict Behav Rep Research paper Online poker is considered more at-risk than land-based poker in terms of intense gambling behaviors and gambling problems. The development of many online gambling sites has raised public health concerns about the potential increase in online poker players. Longitudinal studies are useful to better understand the evolution of gambling behaviors; however, very few consider online poker players. Using a prospective design, this study aims to identify online and land-based trajectories over a two-year period and the factors influencing those trajectories. Results are based on data collected at three time-points over the course of a prospective cohort study conducted in Quebec (n = 304). A latent class growth analysis was performed to determine trajectories based on the main poker modality played, either online or land-based poker. Multinomial multivariable logistic regression analyses were conducted to determine the correlates of poker playing trajectories. Over two years, three poker playing trajectories were identified, comprising two stable trajectories [stable land-based (51.5%) and stable online (36.3%)] and an unstable trajectory [unstable online land-based (12.1%)]. The second trajectory included online poker players at baseline who transitioned to land-based poker. Number of gambling activities increased the odds of being in the first trajectory as compared to the others. Severity of gambling problems was a significant predictor of the second “unstable” or the third “stable online” trajectories, but not for the first “stable land-based” poker trajectory. The majority of poker players remained in either the land-based or online trajectories over two years. No poker players transitioned from land-based to online poker. Elsevier 2020-01-17 /pmc/articles/PMC7244906/ /pubmed/32467840 http://dx.doi.org/10.1016/j.abrep.2020.100251 Text en © 2020 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research paper
Dufour, Magali
Morvannou, Adèle
Laverdière, Émélie
Brunelle, Natacha
Kairouz, Sylvia
Nolin, Marc-Antoine
Nadeau, Louise
Dussault, Frédéric
Berbiche, Djamal
Once online poker, always online poker? Poker modality trajectories over two years
title Once online poker, always online poker? Poker modality trajectories over two years
title_full Once online poker, always online poker? Poker modality trajectories over two years
title_fullStr Once online poker, always online poker? Poker modality trajectories over two years
title_full_unstemmed Once online poker, always online poker? Poker modality trajectories over two years
title_short Once online poker, always online poker? Poker modality trajectories over two years
title_sort once online poker, always online poker? poker modality trajectories over two years
topic Research paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7244906/
https://www.ncbi.nlm.nih.gov/pubmed/32467840
http://dx.doi.org/10.1016/j.abrep.2020.100251
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