Department of Mental Health, Bloomberg School of Public Health, Johns Hopkins, 624 N. Broadway, 8th floor, Suite 896, Baltimore, MD 21205-1900, USA.
J Addict Dis. 2011 Apr;30(2):169-80. doi: 10.1080/10550887.2011.554781.
Latent class analysis was used to delineate distinctive subgroups of gamblers and examine whether they differed by demographics and gambling severity. Data from three Canadian provinces focused on respondents who reported at least some risk of problem gambling in the past year (N=1,071). Three latent classes were distinguished: a low on most items group (class 1), a behaviorally conditioned/substance abusing impulsive/emotionally vulnerable (or all types) group (class 2), and a familial-genetic/behaviorally conditioned group (class 3). Gamblers in classes 2 and 3 were most likely to be moderate-risk and problem gamblers. Community-based prevention efforts may need to address each subgroup differently but also according to their characteristics.
潜在类别分析用于描绘赌徒的不同亚组，并检查他们是否在人口统计学和赌博严重程度上有所不同。这项数据来自加拿大的三个省份，主要关注在过去一年中报告有一定程度赌博问题风险的受访者（N=1071）。三个潜在类别被区分出来：大多数项目得分低的群体（类别 1）、行为条件/物质滥用冲动/情绪脆弱（或所有类型）群体（类别 2）和家族遗传/行为条件群体（类别 3）。类别 2 和 3 的赌徒最有可能是中度风险和有问题的赌徒。基于社区的预防工作可能需要根据每个亚组的不同特点，以不同的方式来处理。
