Department of Psychology, Loyola University Maryland, Baltimore, MD 21210-2699, USA.
J Clin Exp Neuropsychol. 2013;35(5):530-9. doi: 10.1080/13803395.2013.798397. Epub 2013 May 13.
Performance on Part B of the Trail Making Test (TMT) contributes to the prediction of ability to complete instrumental activities of daily living (IADLs) in Parkinson's disease (PD). Although this suggests that cognitive flexibility is important in the everyday functioning of individuals with PD, this may not be the case as the TMT is multifactorial, involving motor speed, visual scanning, sequencing, and cognitive flexibility. The purpose of the current study was to determine which elements of the task contribute to the prediction of IADLs in a sample of 30 nondemented individuals with PD. Correlational analyses indicated strong relationships between a performance-based measure of IADLs and measures involving scanning, sequencing, and cognitive flexibility from the Delis-Kaplan Executive Function System (D-KEFS) TMT. Results from standard regressions indicated that measures of sequencing and level of depression but not scanning, cognitive flexibility, or demographic variables made a significant, independent contribution to the prediction of IADLs. These results suggest that the sequencing element of the TMT is paramount in the prediction of IADLs in PD.
执行测试(TMT)B 部分的表现有助于预测帕金森病(PD)患者完成工具性日常生活活动(IADLs)的能力。尽管这表明认知灵活性在 PD 患者的日常功能中很重要,但由于 TMT 是多因素的,涉及运动速度、视觉扫描、排序和认知灵活性,情况可能并非如此。本研究的目的是确定任务的哪些要素可以在 30 名非痴呆 PD 个体样本中预测 IADLs。相关分析表明,基于表现的 IADLs 测量与涉及 Delis-Kaplan 执行功能系统(D-KEFS)TMT 的扫描、排序和认知灵活性的测量之间存在很强的关系。标准回归的结果表明,排序和抑郁程度的测量,但不是扫描、认知灵活性或人口统计学变量,对 IADLs 的预测有显著的独立贡献。这些结果表明,TMT 的排序要素在 PD 中对 IADLs 的预测至关重要。