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健康老年人在改良版认知状态检查表(NCSE)上的表现:人口统计学问题及初步常模数据

Healthy older adult performance on a modified version of the Cognistat (NCSE): demographic issues and preliminary normative data.

作者信息

Drane Daniel L, Yuspeh Robert L, Huthwaite Justin S, Klingler Lacey K, Foster Lori M, Mrazik Marty, Axelrod Bradley N

机构信息

Department of Neurology, Regional Epilepsy Center, University of Washington School of Medicine, Seattle, WA, USA.

出版信息

J Clin Exp Neuropsychol. 2003 Feb;25(1):133-44. doi: 10.1076/jcen.25.1.133.13628.

Abstract

Normative data for a healthy sample of older adults (n = 108) ranging in age from 60 to 96 are provided for the Cognistat, a mental status exam previously known as the Neurobehavioral Cognitive Status Examination (NCSE). A Cognistat Composite Score is also introduced that is intended to be used as a marker of general cognitive impairment, allowing the Cognistat to be used to match patients in terms of the severity of their cognitive dysfunction. The "screen and metric" approach of the Cognistat was abandoned in order to improve the reliability and standardization of this measure by administering the entire metric to all patients. The impact of demographic variables on Cognistat performance was examined, demonstrating that both age and education contribute uniquely to a number of Cognistat subtests as well as to the Cognistat Composite Score. This study highlights the importance of matching an examinee's demographic background to the normative sample with which his or her test score is being compared. Normative data were stratified accordingly by age and by both age and education. Current results indicate that the Cognistat is sensitive to normal aging and promises greater sensitivity to the impact of age than the commonly employed Mini-Mental State Examination (MMSE).

摘要

本研究为认知状态检查表(Cognistat,一种之前称为神经行为认知状态检查(NCSE)的精神状态检查)提供了108名年龄在60至96岁之间的健康老年人的标准数据。还引入了认知状态综合评分,旨在用作一般认知障碍的标志物,使认知状态检查表能够用于根据患者认知功能障碍的严重程度进行匹配。为了通过对所有患者实施整个量表来提高该测量方法的可靠性和标准化,放弃了认知状态检查表的“筛查和量表”方法。研究了人口统计学变量对认知状态检查表表现的影响,结果表明年龄和教育程度对认知状态检查表的多个子测试以及认知状态综合评分都有独特的贡献。本研究强调了将受测者的人口统计学背景与用于比较其测试分数的标准样本进行匹配的重要性。因此,标准数据按年龄以及年龄和教育程度进行了分层。目前的结果表明,认知状态检查表对正常衰老敏感,并且与常用的简易精神状态检查表(MMSE)相比,有望对年龄的影响具有更高的敏感性。

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