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Testing the Validity of the Pathways Model: A Latent Class Analysis of Potential Pathological Gambling Subtypes in a Non-Treatment Sample
Journal of Gambling Studies ( IF 2.4 ) Pub Date : 2021-07-06 , DOI: 10.1007/s10899-021-10056-9
Donald W Black 1 , Jeff Allen 1
Affiliation  

Latent class analysis (LCA) was used to test the validity of the Pathways Model in 285 subjects with DSM-IV pathological gambling (PG). In addition to identifying three subtypes that roughly correspond with those described in the model (Behaviorally Conditioned, or BC, Emotionally Vulnerable, or EV, Antisocial-Impulsivist, or AI), LCA identified a fourth class, termed the Antisocial Drinker, or AD, characterized by high rates of antisociality, conduct disorder, and alcohol use disorder. BC gamblers comprised 45% of the sample, followed by EV (24%), AD (22%), and AI (9%) gamblers. Women were more likely to be EV gamblers (OR = 1.89) and less likely to be AD gamblers (OR = 0.46). Those who had attempted suicide were more likely to be EV (OR = 3.06) or AI (OR = 3.05) gamblers and less likely to be BC (OR = 0.37) or AD gamblers (OR = 0.50). Greater childhood maltreatment was associated with AD (standardized OR = 1.81) and AI (standardized OR = 1.43) gamblers. Individuals with later PG onset were less likely to be AI gamblers (standardized OR = 0.48). Individuals who preferred slots were more likely to be EV gamblers (OR = 1.83) and less likely to be AD gamblers (OR = 0.33). The BC subtype was associated with better health outcomes, better social functioning, less childhood maltreatment, and less severe PG. The AI subtype was associated with worse health outcomes, worse social functioning, and higher PG severity. The findings provide a better understanding PG heterogeneity that could be relevant to clinical management.



中文翻译:

测试通路模型的有效性:非治疗样本中潜在病态赌博亚型的潜在类别分析

潜在类别分析 (LCA) 用于测试通路模型在 285 名患有 DSM-IV 病态赌博 (PG) 的受试者中的有效性。除了识别出与模型中描述的大致对应的三种亚型(行为调节型或 BC、情绪易感性或 EV、反社会冲动主义者或 AI)外,LCA 还确定了第四类,称为反社会饮酒者或 AD,其特点是反社会、品行障碍和酒精使用障碍的比例很高。BC 赌徒占样本的 45%,其次是 EV (24%)、AD (22%) 和 AI (9%) 赌徒。女性更有可能成为 EV 赌徒(OR = 1.89),不太可能成为 AD 赌徒(OR = 0.46)。那些企图自杀的人更有可能是 EV (OR = 3.06) 或 AI (OR = 3.05) 赌徒,不太可能是 BC (OR = 0.37) 或 AD 赌徒 (OR = 0.50)。更严重的童年虐待与 AD(标准化 OR = 1.81)和 AI(标准化 OR = 1.43)赌徒有关。PG 发病较晚的人不太可能成为 AI 赌徒(标准化 OR = 0.48)。喜欢老虎机的人更有可能是 EV 赌徒(OR = 1.83),不太可能是 AD 赌徒(OR = 0.33)。BC 亚型与更好的健康结果、更好的社会功能、更少的儿童虐待和更轻的 PG 相关。AI 亚型与更差的健康结果、更差的社会功能和更高的 PG 严重性相关。这些发现提供了更好地理解可能与临床管理相关的 PG 异质性。PG 发病较晚的人不太可能成为 AI 赌徒(标准化 OR = 0.48)。喜欢老虎机的人更有可能是 EV 赌徒(OR = 1.83),不太可能是 AD 赌徒(OR = 0.33)。BC 亚型与更好的健康结果、更好的社会功能、更少的儿童虐待和更轻的 PG 相关。AI 亚型与更差的健康结果、更差的社会功能和更高的 PG 严重性相关。这些发现提供了更好地理解可能与临床管理相关的 PG 异质性。PG 发病较晚的人不太可能成为 AI 赌徒(标准化 OR = 0.48)。喜欢老虎机的人更有可能是 EV 赌徒(OR = 1.83),不太可能是 AD 赌徒(OR = 0.33)。BC 亚型与更好的健康结果、更好的社会功能、更少的儿童虐待和更轻的 PG 相关。AI 亚型与更差的健康结果、更差的社会功能和更高的 PG 严重性相关。这些发现提供了更好地理解可能与临床管理相关的 PG 异质性。和不太严重的PG。AI 亚型与更差的健康结果、更差的社会功能和更高的 PG 严重性相关。这些发现提供了更好地理解可能与临床管理相关的 PG 异质性。和不太严重的PG。AI 亚型与更差的健康结果、更差的社会功能和更高的 PG 严重性相关。这些发现提供了更好地理解可能与临床管理相关的 PG 异质性。

更新日期:2021-07-07
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