EA 7479 SPURBO, Universite de Bretagne Occidentale, Brest, France.
Addictive Disorders Department, CHRU de Brest, Brest, France.
BMJ Open. 2020 Feb 18;10(2):e030424. doi: 10.1136/bmjopen-2019-030424.
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.
The study is a cross-sectional analysis to the baseline data of the french JEU cohort study (study protocol : Challet-Bouju , 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.
The participants were 628 gamblers : 256 non-problem gamblers (NPG), 169 problem gamblers without treatment (PGWT) and 203 problem gamblers seeking treatment (PGST).
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.
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.
NCT01207674 (ClinicalTrials.gov); Results.
赌博特征是可能影响赌博问题发展的因素。本研究的目的是确定一种赌徒分类法,根据赌博特征(开始赌博/出现赌博问题的年龄、赌博类型:纯机会/有假技巧的机会/有技巧元素的机会、线上赌博/线下赌博、每月下注金额)来确定风险行为,并在一个大型有代表性的赌徒样本中研究与这些不同特征相关的临床因素。
本研究是对法国 JEU 队列研究基线数据的横断面分析(研究方案:Challet-Bouju,2014 年)。招募(2009 年 4 月至 2011 年 9 月)涉及来自 7 个机构的临床医生和研究人员,这些机构为赌瘾患者提供治疗或进行研究。参与者是在赌博场所和治疗中心招募的。仅招募在过去一年中 18 至 65 岁之间有赌博行为的参与者。参与者书面同意,该研究得到了法国研究伦理委员会的批准。
参与者为 628 名赌徒:256 名非问题赌徒(NPG)、169 名未接受治疗的问题赌徒(PGWT)和 203 名寻求治疗的问题赌徒(PGST)。
测试了六个聚类模型,具有三个聚类的模型显示出较低的分类错误率(7.92%),并且更适合临床解释:“早期发病和短期病程”(47.5%)、“早期发病和长期病程”(35%)和“晚期发病和短期病程”(17.5%)。三个聚类之间的赌博特征存在显著差异。
我们通过分析赌博变量来定义聚类,这些聚类易于识别,可由精神科医生或初级保健医生识别。可以构建针对这些赌博特征的简单筛查,以预防和帮助识别问题赌徒。考虑赌博特征很重要:针对赌博特征的政策措施可能会降低出现问题赌徒的风险或最小化赌博带来的危害。
NCT01207674(ClinicalTrials.gov);结果。