The classical backward digit span task detects changes in working memory but is unsuitable for classifying the severity of dementia
The classical backward digit span task detects changes in working memory but is unsuitable for classifying the severity of dementia
复制标题
经典的向后数字跨度任务可以检测工作记忆的变化，但不适合对痴呆症的严重程度进行分类
DOI：
10.1080/23279095.2021.1961774
复制
发表时间：
2021
期刊：
影响因子：
--
通讯作者：
S.
中科院分区：
文献类型：
--
作者：
Yoshimura;T.;Osaka;M.;Osawa;A.;& Maeshima;S.
痴呆症的特征是工作记忆(WM)的恶化。后向数字广度(DS)任务和阅读广度测试(RST)是工作记忆的测量工具。DS TASK和RST在评估痴呆方面没有直接的比较。本研究旨在比较痴呆症患者在前向和后向DS任务和RST任务中的表现。我们研究了前向/后向DS任务区分痴呆严重程度的能力。对15例日本老年期痴呆患者进行了前向/后向DS任务和RST检查。26 20名接受DS任务和RST任务的老年人作为对照。采用临床痴呆评定量表(CDR)评定痴呆严重程度。DS任务得分与RST得分显著相关。两种类型的DS任务都与RST相关，只有RST在CDR的基础上区分痴呆的严重程度。我们的发现表明，落后的DS任务可以检测到痴呆患者的WM下降，但RST更适合于评估痴呆的严重程度。向后的DS任务可能是一种有效的老年人痴呆体征的筛查手段，并可用于识别需要进一步评估的患者，如RST，以基于WM表现评估痴呆的严重程度。
Dementia is characterized by the deterioration of working memory (WM). The backward digit span (DS) task and reading span test (RST) are measures of WM. DS task and RST have not been directly compared in assessing dementia. This study aimed to compare the performance of individuals with dementia in forward and backward DS tasks to that in RST. We investigated the ability of forward/backward DS tasks to discriminate dementia severity. Forward/backward DS tasks and RST were performed in 15 elderly Japanese individuals with dementia. Twenty-six and 20 elderly individuals for the DS task and RST, respectively, were included as controls. Clinical Dementia Rating scale (CDR) was used to evaluate dementia severity. DS task scores were significantly correlated with RST scores. Both types of DS tasks correlated with RST, only the RST distinguished dementia severity based on CDR. Our findings indicate that the backward DS task may detect WM decline in dementia, but the RST is more suitable for assessing dementia severity. The backward DS task may be an effective screening measure for dementia signs in the elderly and may be used to identify patients requiring further assessments such as the RST to evaluate dementia severity based on WM performance.