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用于德国老年人群的连线测验常模数据。

Trail Making Test Normative Data for the German Older Population.

出版信息

Arch Clin Neuropsychol. 2022 Jan 17;37(1):186-198. doi: 10.1093/arclin/acab027.

DOI:10.1093/arclin/acab027
PMID:34009235
Abstract

OBJECTIVE

We provide normative data for the Trail Making Test (TMT)-A and B and the derived scores B - A and B/A, for the German general population aged 57-84 years.

METHODS

Data were derived from the third examination of the population-based Heinz Nixdorf Recall study. We excluded participants with a history of dementia or stroke, a depression score above cutoff (CES-D Center for Epidemiologic Studies Depression Scale score ≥ 18), or mild cognitive impairment according to a neurocognitive test battery. The normative sample (n = 2,182) was stratified by age, using the interval superposition approach, and by three levels of educational attainment (up to 10 years of schooling; >10 years of schooling; and university degree).

RESULTS

We tabulated test performance scores at percentage rank thresholds 5, 10, 15, 20, 25, 50, 75, and 90. In multiple linear regression, TMT-A performance declined by 1 s each year of life, and TMT-B performance by 3 s; educational level had an impact of up to 30 s in TMT-B. TMT-B/A was only weakly associated with age and education. TMT-B and B - A correlated r = 0.96. Completion of the TMT-B within the time limit of 300 s was not achieved by 10.9% of participants >74 years, and especially by those >74 years who were on the lowest educational level (13.9%).

CONCLUSIONS

For TMT-A, TMT-B, and B - A, the narrow age categorization and distinction between three educational levels proved meaningful. The 300 s limit for the TMT-B impedes the identification of thresholds for very low performance in this age group and needs reconsideration.

摘要

目的

我们为年龄在 57-84 岁的德国普通人群提供了连线测验(TMT)-A 和 B 以及衍生分数 B-A 和 B/A 的常模数据。

方法

数据来自基于人群的海因茨·尼克斯多夫回忆研究的第三次检查。我们排除了有痴呆或中风病史、抑郁评分超过临界值(CES-D 中心流行病学研究抑郁量表评分≥18)或根据神经认知测试组合有轻度认知障碍的参与者。根据年龄,使用间隔叠加方法,以及三个教育程度水平(受教育年限 10 年及以下;10 年以上;以及大学学位)对常模样本(n=2182)进行分层。

结果

我们在百分比排名阈值 5、10、15、20、25、50、75 和 90 处列出了测试表现分数。在多元线性回归中,TMT-A 的表现每年下降 1 秒,TMT-B 的表现下降 3 秒;教育程度对 TMT-B 的影响可达 30 秒。TMT-B/A 与年龄和教育程度的相关性较弱。TMT-B 和 B-A 的相关系数 r=0.96。在 300 秒的时间限制内完成 TMT-B 的参与者中,超过 74 岁的参与者占 10.9%,尤其是处于最低教育程度(13.9%)的参与者。

结论

对于 TMT-A、TMT-B 和 B-A,年龄的狭义分类和三个教育程度之间的区分证明是有意义的。TMT-B 的 300 秒限制阻碍了在该年龄组中识别非常低表现的阈值,需要重新考虑。

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