Applied Neuropsychology: Adult ( IF 1.4 ) Pub Date : 2021-03-24 , DOI: 10.1080/23279095.2021.1890596 Eva Málišová 1 , Daniel Dančík 1, 2 , Anton Heretik 1, 2 , Miroslava Abrahámová 1 , Simona Krakovská 1, 3 , Petra Brandoburová 3 , Michal Hajdúk 1, 2, 4
Abstract
The Trail Making Test (TMT) is a popular measure of cognitive functioning, especially processing speed and cognitive flexibility. This study aims to provide normative data for the Slovak adult population. The secondary aim is to test the convergent validity by examining relationships of direct and derived indices to other neuropsychological measures. A sample of 487 healthy adults undertook neuropsychological testing. The relationships of TMT scores to demographic variables and other neuropsychological measures were tested. Age was positively correlated with TMT–A (r = 0.444, p < .01), TMT–B (r = 0.426, p < .01), and the B-A index (r = 0.317, p < .01). Years of education were negatively correlated with TMT–B (r = –0.183, p < .01), B-A difference (r = –0.188, p < .01) and B/A ratio (r = –0.119, p < .01). There were no statistically significant differences in performance based on gender. The test scores were correlated with other measures of processing speed and executive functions. Presented normative data are stratified into 7 age categories. For more accurate interpretation, regression equations were calculated to take years of education into account. TMT-A and B performance, as well as B-A difference score, must be interpreted in relation to age, while education can provide additional information. The B/A ratio is independent from age but should be also corrected for educational level.
中文翻译:
斯洛伐克版本的越野测试:规范数据
抽象的
轨迹制作测试 (TMT) 是一种流行的认知功能测量方法,尤其是处理速度和认知灵活性。本研究旨在为斯洛伐克成年人口提供规范数据。第二个目的是通过检查直接指数和派生指数与其他神经心理学测量的关系来测试收敛有效性。对 487 名健康成年人进行了神经心理学测试。测试了 TMT 分数与人口统计学变量和其他神经心理学测量的关系。年龄与 TMT-A (r = 0.444, p < .01)、TMT-B (r = 0.426, p < .01) 和 BA 指数 (r = 0.317, p < .01) 呈正相关。受教育年限与 TMT-B (r = –0.183, p < .01)、BA 差异 (r = –0.188, p < .01) 和 B/A 比率 (r = –0.119, p < .01) 呈负相关)。基于性别的表现没有统计学上的显着差异。测试分数与处理速度和执行功能的其他指标相关。所提供的规范数据分为 7 个年龄组。为了更准确地解释,计算回归方程时考虑了受教育年限。 TMT-A 和 B 表现以及 BA 差异分数必须根据年龄进行解释,而教育程度可以提供额外信息。 B/A 比率与年龄无关,但也应根据教育水平进行校正。