The Application of Language Tasks to the Identification of Senile Dementia

Clare Kovesi
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引用次数: 3

Abstract

A battery of 6 language and cognitive tasks and a Neurobehavioral Inventory were field tested on a sample of 45 patients attending or resident in a hospital for geriatrics. The study was devised in order to determine whether dementia could be differentiated from normal aging, from cerebral insult, and from other degenerative neurological diseases, on the basis of performance on the tasks. A discriminant analysis found the tasks most effective in distinguishing groups to be Pantomime Expression, Immediate — and Recent — Story-recall, the Neurobehavioral Inventory, and the Mental Status Questionnaire. Sixty percent of subjects diagnosed with senile dementia were correctly identified by their performance on these tasks. The three tests which failed to mark significant differences between groups were Block Design, Verbal Description and Generative Naming.
语言任务在老年痴呆识别中的应用
研究人员对一家老年医院的45名住院患者进行了6项语言和认知任务以及神经行为量表的实地测试。这项研究的目的是确定痴呆症是否可以根据任务表现与正常衰老、脑损伤和其他退行性神经系统疾病区分开来。一项判别分析发现,最有效区分各组的任务是哑剧表达、即时和近期故事回忆、神经行为量表和精神状态问卷。60%被诊断为老年痴呆症的受试者通过他们在这些任务中的表现被正确地识别出来。分组设计、言语描述和生成命名这三个测试没有显示出组间的显著差异。
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