With the aim of validating the three pathways hypothesis of pathological gambling (Blaszczynski and Nower in Addiction 97:487-499, 2002) 372 pathological gamblers meeting DSM IV (2000) criteria were assessed via a structured clinical interview as well as being subjected to personality tests and evaluation of their gambling practices. Our results show that it is possible to identify three subgroups corresponding to the three pathways: behaviourally conditioned problem gamblers, emotionally vulnerable problem gamblers and antisocial impulsivist problem gamblers. Our results particularly demonstrate that impulsivist gamblers preferentially choose semi-skilful gambling (horse racing and sports gambling) whereas emotionally vulnerable gamblers are significantly more attracted to games of chance (one-armed bandits, scratch cards, etc.) This led us to propose a functional presentation of the three pathways model which differs somewhat from the Blaszczynski and Nower presentation.

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.

Résumé Sur la base des consultations croissantes que nous assurons au Centre médical Marmottan depuis le début des années 2000 pour les usagers de jeux vidéo, de jeux d’argent et de hasard, et de pornographie, il apparaît que le recours à Internet est de plus en plus fréquent. Le réseau constitue un potentialisateur de certaines addictions. Cependant ces trois groupes de patients présentent des caractéristiques sociales et cliniques propres, engendrant donc un accompagnement, une prise en compte de l’entourage et un partenariat institutionnel différent. De même que l’usage de psychotropes, depuis les années 1970, a pu être considéré comme un indicateur de mutation sociétale, à notre sens, il en est de même de l’outil Internet et des nouvelles perspectives technologiques qu’il engendre.

Background and AimsFew studies have been conducted on the long-term evolution of gambling disorder (GD). The aim of this study was to identify factors that could predict GD relapse.MethodsData were part of a dataset from a large 5-year cohort of gamblers who were assessed at inclusion and each year thereafter. Participants were recruited from an outpatient addiction treatment center, from various gambling places and through the press. For this specific study, inclusion criteria included (i) transitioning from GD to recovery at a follow-up time and (ii) undergoing at least one follow-up visit afterwards. Participants were evaluated using a structured clinical interview and self-report questionnaires assessing sociodemographic, gambling and clinical characteristics. “Relapse” was defined as the presence of GD (according to the DSM-5) at the N+1th visit following the absence of GD at the Nth visit. A Markov model-based approach was employed to examine predictive factors associated with relapse at a subsequent follow-up visit.ResultsThe sample consisted of 87 participants, aged 47.6 years (sd = 12.6), who were predominantly male (65%). Among the participants, 49 remained in recovery, whereas 38 relapsed. Participants who reported not having experienced at least one month of abstinence and those with a low level of self-directedness at the previous follow-up visit were more likely to relapse.ConclusionsOur findings suggest the existence of factors that are predictive of relapse in individuals with GD who had previously achieved recovery. These results can inspire the development of measures to promote long-term recovery.

No abstract