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

Author:

Guillou Landreat MorganeORCID,Chereau Boudet Isabelle,Perrot Bastien,Romo Lucia,Codina Irene,Magalon David,Fatseas Melina,Luquiens AmandineORCID,Brousse Georges,Challet-Bouju Gaëlle,Grall-Bronnec Marie

Abstract

ObjectivesGambling 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 settingThe study is a cross-sectional analysis to the baseline data of the french JEU cohort study (study protocol : Challet-Boujuet 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.ParticipantsThe participants were 628 gamblers : 256 non-problem gamblers (NPG), 169 problem gamblers without treatment (PGWT) and 203 problem gamblers seeking treatment (PGST).ResultsSix 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.ConclusionsWe 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 numberNCT01207674(ClinicalTrials.gov); Results.

Funder

MILDECA

the French Ministry of Health

Publisher

BMJ

Subject

General Medicine

Reference68 articles.

1. Problem gambling worldwide: an update and systematic review of empirical research (2000-2015);Calado;J Behav Addict,2016

2. Gambling patterns and problems of gamblers on licensed and unlicensed sites in France;Costes;J Gambl Stud,2016

3. Gambling and Related Mental Disorders: A Public Health Analysis

4. Williams RJ , Volberg RA , Stevens RMG . The population prevalence of problem gambling : methodological influences, standardized rates, jurisdictional differences, and worldwide trends. Report prepared for the Ontario Problem Gambling Research Centre and the ntario Ministry of Health and Long term Care; 2012.

5. Problem gambling is a public health concern;The Lancet,2017

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