静脉注射吸毒者神经心理学评价规范资料

M Pereda, J L Ayuso-Mateos, A Gómez del Barrio, S Echevarría, C M Fariñas, D García Palomo, J González Macías
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引用次数: 0

摘要

背景:最近有许多流行病学研究发现,静脉吸毒者(IDU)在若干神经心理功能测量中的表现与一般人群不同,无论他们是否对HIV-1感染血清呈阳性。因此,有人指出有必要为这一人口制订适当的准则。本研究的目的是为注射过量组的一系列神经心理测试提供规范性数据。研究对象和方法:本报告提供了116例IDU患者按年龄组分层的一系列神经心理测试的规范数据(平均= 30.9;SD = 4.5),教育程度(mean = 8;Sd = 2.4)。根据年龄、教育程度和性别,对不同群体的收入进行比较。分析包括估计神经心理学测试分数与年龄和教育程度之间的部分相关性。结果:分析表明,在大多数这些测试中,教育是一个重要的决定因素,而两个年龄组之间的表现没有差异。在性别方面,女性在运动速度和协调性方面的表现优于男性。结论:本报告为吸毒人群的临床评价和研究提供了可参考的规范。它还强调需要建立规范的数据,以控制教育水平等变量,这些变量来自具有特殊特征的人口,例如注射过量人口。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
[Normative data for the neuropsychological evaluation of intravenous drug users].

Background: There are many recent epidemiological studies that find that intravenous drug users' (IDU's) performance in several measures of neuropsychological function are not the same than that of the general population, whether they are seropositive to HIV-1 infection or not. Consequently, it has been stated the need to establish appropriate norms for this population. The purpose of this study is to provide normative data on a battery of neuropsychological tests from a IDU group.

Subjects and methods: This report provide normative data from a group of 116 IDU, on a battery of neuropsychological tests stratified by age group (mean = 30.9; SD = 4.5), and educational level (mean = 8; SD = 2.4). Comparisons between the means of the different groups according to age and education, and also with respect to sex are made. The analysis includes estimation of partial correlations between neuropsychological test scores and age and education.

Results: The analysis demonstrates that education is an important determinant of performance for most of these tests, while there are no differences in performance between the two age-groups. With respect to sex, females out-performed men on a measure of motor speed and coordination.

Conclusions: This report provides norms that may be of use as a reference for clinical evaluation and research in drug user populations. It also emphasizes the need to establish normative data controlling for variables like educational level, from a population with special characteristics such as IDU population.

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