Background: 

Norms for the Uniform Data Set Version 3 Neuropsychological Battery are available for cognitively normal individuals based on age, education, and sex; however, these norms do not include race. We provide expanded norms for African Americans and whites.

Methods: 

Data from 32 Alzheimer’s Disease Centers (ADCs) and ADC affiliated cohorts with global Clinical Dementia Rating Scale (CDR) Dementia Staging Instrument scores of 0 were included. Descriptive statistics for each test were calculated by age, sex, race, and education. Multiple linear regressions were conducted to estimate the effect of each demographic variable; squared semipartial correlation coefficients measured the relative importance of variables.

Results: 

There were 8313 participants (16% African American) with complete demographic information, ranging from 6600 to 7885 depending on the test. Lower scores were found for older and less educated groups, and African Americans versus whites. Education was the strongest predictor for most tests, followed in order by age, race, and sex. Quadratic terms were significant for age and education, indicating some nonlinearity, but did not substantially increase R².

Conclusions: 

Although race-based norms represent incomplete proxies for other sociocultural variables, the appropriate application of these norms is important given the potential to improve diagnostic accuracy and to reduce misclassification bias in cognitive disorders of aging such as Alzheimer disease.

中文翻译：

---

统一数据集中阿尔茨海默病中心神经心理学测试电池版本 3 的扩展人口统计标准。

 背景：

统一数据集第 3 版神经心理电池规范适用于基于年龄、教育程度和性别的认知正常个体；然而，这些规范不包括种族。我们为非裔美国人和白人提供了扩展的规范。

 方法：

其中包括来自 32 个阿尔茨海默病中心 (ADC) 和 ADC 附属队列的数据，其全球临床痴呆评定量表 (CDR) 痴呆分期仪器得分为 0。每项测试的描述性统计数据均按年龄、性别、种族和教育程度计算。进行多元线性回归来估计每个人口统计变量的影响；平方半偏相关系数衡量变量的相对重要性。

 结果：

共有 8313 名参与者（16% 为非裔美国人）拥有完整的人口统计信息，根据测试的不同，参与者人数从 6600 人到 7885 人不等。年龄较大、受教育程度较低的群体以及非裔美国人的得分低于白人。对于大多数测试来说，教育程度是最强的预测因素，其次是年龄、种族和性别。二次项对年龄和教育程度显着，表明存在一定的非线性，但并未显着增加R ² 。

 结论：

尽管基于种族的规范代表了其他社会文化变量的不完整代理，但鉴于有可能提高诊断准确性并减少阿尔茨海默病等衰老认知障碍的错误分类偏差，适当应用这些规范非常重要。