Forbush Kelsie T, Shaw Martha, Graeber Margarita A, Hovick Lauren, Meyer Vanessa J, Moser David J, Bayless John, Watson David, Black Donald W
Department of Psychology, The University of Iowa, Iowa City, IA 52245, USA.
CNS Spectr. 2008 Apr;13(4):306-15. doi: 10.1017/s1092852900016424.
Pathological gambling disorder (PG) has been associated with fronto-temporal dysfunction and maladaptive personality traits, such as impulsivity and novelty seeking. The purpose of this study was to examine the predictive variance of neuropsychological and personality characteristics in PG.
Persons with PG (n=25) and a comparison group (n=34) were administered a battery of neuropsychological tests, the Temperament and Character Inventory, and the Barratt Impulsiveness Scale. Subjects with PG had evidence of fronto-temporal dysfunction as assessed by the Stroop, Wisconsin Card Sorting Test-64, Wechsler Adult Intelligence Scale Letter-Number Sequencing, Controlled Oral Word Association Test, and Boston Diagnostic Aphasia Examination Animal Naming Test.
Subjects with PG also had impaired decision making on the Iowa Gambling Task. PG subjects had elevated levels of impulsivity, novelty seeking, and harm avoidance, and lower levels of self-directedness and cooperativeness. Logistic regression analyses indicated that neuropsychological variables did not add significant incremental variance over personality traits in predicting PG (Block chi-square=5.19, P=.074), while personality variables added significant incremental variance over neuropsychological traits in predicting PG (Block chi-square=25.13, P<.001).
These results suggest that personality traits are better predictors than neuropsychological characteristics of whether someone has PG.
病理性赌博障碍(PG)与额颞叶功能障碍及冲动性和寻求新奇等适应不良的人格特质有关。本研究的目的是检验PG中神经心理学和人格特征的预测差异。
对PG患者(n = 25)和一个对照组(n = 34)进行了一系列神经心理学测试、气质与性格量表以及巴拉特冲动性量表测试。通过斯特鲁普测试、威斯康星卡片分类测验-64、韦氏成人智力量表数字-字母排序、受控口语联想测验和波士顿失语症诊断检查动物命名测验评估,PG患者有额颞叶功能障碍的证据。
PG患者在爱荷华赌博任务中的决策能力也受损。PG患者的冲动性、寻求新奇和避免伤害水平升高,而自我导向和合作性水平降低。逻辑回归分析表明,在预测PG方面,神经心理学变量在人格特质之上并未增加显著的额外差异(组块卡方=5.19,P = 0.074),而人格变量在预测PG方面在神经心理学特质之上增加了显著的额外差异(组块卡方=25.13,P<0.001)。
这些结果表明,对于某人是否患有PG,人格特质比神经心理学特征是更好的预测指标。