This study aimed to investigate the self-reported measures of concurrent disorders (stress, social anxiety, anxiety, depression and alcohol use) among electronic gaming machine (EGM) gamblers with varying levels of gambling severity and to examine its relationship to decision-making. This cross-sectional study in New Zealand involved an online survey that utilised validated questionnaires to assess self-reported measures of concurrent disorders and the Iowa gambling task (IGT) to analyse decision-making. The study comprised of active EGM gamblers (n = 153) who were divided into two groups: non-problem gambling (NPG, n = 71) and problem gambling (PG, n = 82) based on the cut-off point of the South Oaks Gambling Screen (SOGS). Multiple logistic regression models were performed to analyse co-occurring disorders separately and simultaneously, and a log‐linear model was developed to define the associations between significant variables. The first model showed a strong correlation between gambling severity and measures for depression (p < 0.01), anxiety (p < 0.05), stress (p < 0.05) and alcohol use (p < 0.01), however only depression (p < 0.05) and alcohol use (p < 0.01) remained significant in the second model. Further, no association between social anxiety scores and problem gambling was found in this sample of EGM gamblers in both models. On the IGT, EGM gamblers in the PG group performed significantly worse. Further, the presence of poor decision-making was more pronounced with higher depression scores (p < 0.01) across both NPG and PG groups and higher alcohol use scores (p < 0.05) scores in the PG group. The presence of high levels of co-occurring disorders and its link to poor decision-making are important considerations in the treatment paradigm of EGM problem gamblers.

本研究旨在调查具有不同赌博严重程度的电子游戏机 (EGM) 赌徒中并发疾病（压力、社交焦虑、焦虑、抑郁和酒精使用）的自我报告测量值，并检查其与决策的关系。这项在新西兰进行的横断面研究涉及一项在线调查，该调查利用经过验证的问卷来评估并发疾病的自我报告措施，并使用爱荷华州赌博任务 (IGT) 来分析决策。该研究由活跃的 EGM 赌徒（n = 153）组成，他们分为两组：非问题赌博（NPG，n = 71）和问题赌博（PG，n = 82），基于南方的截止点奥克斯赌博屏幕 (SOGS)。使用多个逻辑回归模型分别和同时分析同时发生的疾病，并开发了一个对数线性模型来定义重要变量之间的关联。第一个模型显示赌博严重程度与抑郁程度之间存在很强的相关性（p  < 0.01)、焦虑 ( p  < 0.05)、压力 ( p  < 0.05) 和酒精使用 ( p  < 0.01)，但只有抑郁 ( p  < 0.05) 和酒精使用 ( p  < 0.01) 在第二个模型中仍然显着。此外，在这两种模型中的 EGM 赌徒样本中，没有发现社交焦虑评分和问题赌博之间存在关联。在IGT上，PG组的EGM赌徒表现明显更差。 此外， NPG 和 PG 组的抑郁评分较高 ( p < 0.01) 和酒精使用评分较高 ( p < 0.05) PG 组得分。在 EGM 问题赌徒的治疗范式中，高水平的并发疾病及其与糟糕决策的联系是重要的考虑因素。