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 Aug;109(3-4):281-7. doi: 10.3109/00207450108986539.
Demographic effects on the Trail Making Test (TMT), a test often used for screening for cognitive impairment, are examined in a sample of alcohol 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 alcohol abuser's scores available for analysis was 1000. Data were analyzed to determine the effects of gender, ethnicity, age and education variables on the two parts of the TMT in this large treatment sample of alcohol abusers. The variables of age, ethnicity and education were statistically significant for both parts A and B of the TMT. R-Square values for overall models were quite weak (A = .12, B = .14) suggesting that demographic effects on the TMT, while clearly present, account for relatively little overall variance in terms of alcohol abuser's TMT performance. These results are consistent with earlier research using a more heterogenous drug abuse treatment sample.
在药物滥用治疗项目中的酗酒者样本中,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。可供分析的酗酒者分数数量为1000个。对数据进行分析,以确定在这个庞大的酗酒者治疗样本中,性别、种族、年龄和教育变量对TMT两个部分的影响。年龄、种族和教育变量在TMT的A部分和B部分均具有统计学意义。总体模型的R平方值相当低(A = 0.12,B = 0.14),这表明人口统计学因素对TMT的影响虽然明显存在,但就酗酒者的TMT表现而言,在总体方差中所占比例相对较小。这些结果与早期使用更具异质性的药物滥用治疗样本的研究一致。