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Problem and non-problem gamblers: a cross-sectional clustering study by gambling characteristics

OBJECTIVES: Gambling characteristics are factors that could influence problem gambling development. The aim of this study was to identify a typology of gamblers to frame risky behaviour based on gambling characteristics (age of initiation/of problem gambling, type of gambling: pure chance/chance wit...

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Autores principales: Guillou Landreat, Morgane, Chereau Boudet, Isabelle, Perrot, Bastien, Romo, Lucia, Codina, Irene, Magalon, David, Fatseas, Melina, Luquiens, Amandine, Brousse, Georges, Challet-Bouju, Gaëlle, Grall-Bronnec, Marie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7044887/
https://www.ncbi.nlm.nih.gov/pubmed/32075821
http://dx.doi.org/10.1136/bmjopen-2019-030424
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author Guillou Landreat, Morgane
Chereau Boudet, Isabelle
Perrot, Bastien
Romo, Lucia
Codina, Irene
Magalon, David
Fatseas, Melina
Luquiens, Amandine
Brousse, Georges
Challet-Bouju, Gaëlle
Grall-Bronnec, Marie
author_facet Guillou Landreat, Morgane
Chereau Boudet, Isabelle
Perrot, Bastien
Romo, Lucia
Codina, Irene
Magalon, David
Fatseas, Melina
Luquiens, Amandine
Brousse, Georges
Challet-Bouju, Gaëlle
Grall-Bronnec, Marie
author_sort Guillou Landreat, Morgane
collection PubMed
description OBJECTIVES: Gambling characteristics are factors that could influence problem gambling development. The aim of this study was to identify a typology of gamblers to frame risky behaviour based on gambling characteristics (age of initiation/of problem gambling, type of gambling: pure chance/chance with pseudoskills/chance with elements of skill, gambling online/offline, amount wagered monthly) and to investigate clinical factors associated with these different profiles in a large representative sample of gamblers. DESIGN AND SETTING: The study is a cross-sectional analysis to the baseline data of the french JEU cohort study (study protocol : Challet-Bouju et al, 2014). Recruitment (April 2009 to September 2011) involved clinicians and researchers from seven institutions that offer care for or conduct research on problem gamblers (PG). Participants were recruited in gambling places, and in care centres. Only participants who reported gambling in the previous year between 18 and 65 years old were included. Participants gave their written informed consent, it was approved by the French Research Ethics Committee. PARTICIPANTS: The participants were 628 gamblers : 256 non-problem gamblers (NPG), 169 problem gamblers without treatment (PGWT) and 203 problem gamblers seeking treatment (PGST). RESULTS: Six clustering models were tested, the one with three clusters displayed a lower classification error rate (7.92%) and was better suited to clinical interpretation : ‘Early Onset and Short Course’ (47.5%), ‘Early Onset and Long Course’ (35%) and ‘Late Onset and Short Course’ (17.5%). Gambling characteristics differed significantly between the three clusters. CONCLUSIONS: We defined clusters through the analysis of gambling variables, easy to identify, by psychiatrists or by physicians in primary care. Simple screening concerning these gambling characteristics could be constructed to prevent and to help PG identification. It is important to consider gambling characteristics : policy measures targeting gambling characteristics may reduce the risk of PG or minimise harm from gambling. TRIAL REGISTRATION NUMBER: NCT01207674 (ClinicalTrials.gov); Results.
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spelling pubmed-70448872020-03-09 Problem and non-problem gamblers: a cross-sectional clustering study by gambling characteristics Guillou Landreat, Morgane Chereau Boudet, Isabelle Perrot, Bastien Romo, Lucia Codina, Irene Magalon, David Fatseas, Melina Luquiens, Amandine Brousse, Georges Challet-Bouju, Gaëlle Grall-Bronnec, Marie BMJ Open Mental Health OBJECTIVES: Gambling characteristics are factors that could influence problem gambling development. The aim of this study was to identify a typology of gamblers to frame risky behaviour based on gambling characteristics (age of initiation/of problem gambling, type of gambling: pure chance/chance with pseudoskills/chance with elements of skill, gambling online/offline, amount wagered monthly) and to investigate clinical factors associated with these different profiles in a large representative sample of gamblers. DESIGN AND SETTING: The study is a cross-sectional analysis to the baseline data of the french JEU cohort study (study protocol : Challet-Bouju et al, 2014). Recruitment (April 2009 to September 2011) involved clinicians and researchers from seven institutions that offer care for or conduct research on problem gamblers (PG). Participants were recruited in gambling places, and in care centres. Only participants who reported gambling in the previous year between 18 and 65 years old were included. Participants gave their written informed consent, it was approved by the French Research Ethics Committee. PARTICIPANTS: The participants were 628 gamblers : 256 non-problem gamblers (NPG), 169 problem gamblers without treatment (PGWT) and 203 problem gamblers seeking treatment (PGST). RESULTS: Six clustering models were tested, the one with three clusters displayed a lower classification error rate (7.92%) and was better suited to clinical interpretation : ‘Early Onset and Short Course’ (47.5%), ‘Early Onset and Long Course’ (35%) and ‘Late Onset and Short Course’ (17.5%). Gambling characteristics differed significantly between the three clusters. CONCLUSIONS: We defined clusters through the analysis of gambling variables, easy to identify, by psychiatrists or by physicians in primary care. Simple screening concerning these gambling characteristics could be constructed to prevent and to help PG identification. It is important to consider gambling characteristics : policy measures targeting gambling characteristics may reduce the risk of PG or minimise harm from gambling. TRIAL REGISTRATION NUMBER: NCT01207674 (ClinicalTrials.gov); Results. BMJ Publishing Group 2020-02-18 /pmc/articles/PMC7044887/ /pubmed/32075821 http://dx.doi.org/10.1136/bmjopen-2019-030424 Text en © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.
spellingShingle Mental Health
Guillou Landreat, Morgane
Chereau Boudet, Isabelle
Perrot, Bastien
Romo, Lucia
Codina, Irene
Magalon, David
Fatseas, Melina
Luquiens, Amandine
Brousse, Georges
Challet-Bouju, Gaëlle
Grall-Bronnec, Marie
Problem and non-problem gamblers: a cross-sectional clustering study by gambling characteristics
title Problem and non-problem gamblers: a cross-sectional clustering study by gambling characteristics
title_full Problem and non-problem gamblers: a cross-sectional clustering study by gambling characteristics
title_fullStr Problem and non-problem gamblers: a cross-sectional clustering study by gambling characteristics
title_full_unstemmed Problem and non-problem gamblers: a cross-sectional clustering study by gambling characteristics
title_short Problem and non-problem gamblers: a cross-sectional clustering study by gambling characteristics
title_sort problem and non-problem gamblers: a cross-sectional clustering study by gambling characteristics
topic Mental Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7044887/
https://www.ncbi.nlm.nih.gov/pubmed/32075821
http://dx.doi.org/10.1136/bmjopen-2019-030424
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