Horton A M, Roberts C
Center for Substance Abuse Treatment, Substance Abuse and Mental Health Services Administration, Rockwall II Building, Suite 840, 5600 Fishers Lane, Rockville, MD 20857, USA.
Int J Neurosci. 2001;110(3-4):173-80. doi: 10.3109/00207450108986544.
Demographic effects on the Trail Making Test (TMT), a test often used for screening for cognitive impairment, were examined in a sample of marijuana abusers in drug abuse treatment programs. A sample was drawn from electronic files of data from the Drug Abuse Treatment outcome Study (DATOS). The DATOS was a naturalistic, prospective cohort study that collected data from 1991-1993 in 96 programs in 11 cities in the United States. The number of marijuana abusers' scores available for analysis were 259. Data were analyzed to determine the effects of sex, ethnicity, age, and education variables on the two parts of the TMT in this large treatment sample of marijuana abusers. The variables of age and education level were statistically significantly related to TMT parts A and B, and ethnicity was statistically significant for part B of the TMT. R-Square values for overall models were moderate (A = .15, B = .18) suggesting that demographic effects on the TMT are weak.
在药物滥用治疗项目中的大麻滥用者样本中，研究了人口统计学因素对常用于筛查认知障碍的连线测验（TMT）的影响。样本取自药物滥用治疗结果研究（DATOS）的电子数据文件。DATOS是一项自然主义的前瞻性队列研究，于1991年至1993年在美国11个城市的96个项目中收集数据。可供分析的大麻滥用者得分数量为259个。对数据进行分析，以确定在这个大麻滥用者的大型治疗样本中，性别、种族、年龄和教育变量对TMT两个部分的影响。年龄和教育水平变量与TMT的A部分和B部分在统计学上显著相关，种族对TMT的B部分具有统计学显著性。总体模型的决定系数（R方）值适中（A = 0.15，B = 0.18），表明人口统计学因素对TMT的影响较弱。
