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波士顿命名测试中按年龄、教育程度和性别分层的常模数据。

Normative data stratified for age, education, and gender on the Boston Naming Test.

作者信息

Zec Ronald F, Burkett Nicole R, Markwell Stephen J, Larsen Deb L

机构信息

Center for Alzheimer Disease and Related Disorders, Springfield, IL, USA.

出版信息

Clin Neuropsychol. 2007 Jul;21(4):617-37. doi: 10.1080/13854040701339356.

Abstract

Stratified normative data for age, education, and gender are provided for the 60-item Boston Naming Test (BNT) on 1026 older participants ages 50-95 years using overlapping age ranges. Tables are presented that convert BNT raw scores to scaled scores and percentiles. Mild dementia cases were eliminated using a comprehensive cognitive battery. In a companion paper we found significantly poorer mean BNT scores and increasing variability with successively older age groups and decreasing educational levels indicating the need for demographically stratified normative data when determining an individual's degree of impairment. These norms should be clinically useful when assessing suspected dementia cases.

摘要

为1026名年龄在50 - 95岁的老年参与者提供了关于年龄、教育程度和性别的分层常模数据,这些数据来自使用重叠年龄范围的60项波士顿命名测试(BNT)。文中给出了将BNT原始分数转换为量表分数和百分位数的表格。使用综合认知测试组合排除了轻度痴呆病例。在一篇配套论文中,我们发现,随着年龄组逐渐增大和教育水平降低,BNT平均分数显著降低且变异性增加,这表明在确定个体损伤程度时需要人口统计学分层的常模数据。这些常模在评估疑似痴呆病例时应具有临床实用性。

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