Sachs Bonnie C, Steenland Kyle, Zhao Liping, Hughes Timothy M, Weintraub Sandra, Dodge Hiroko H, Barnes Lisa L, Craft Suzanne, Parker Monica L, Goldstein Felicia C
Department of Neurology.
Section on Gerontology and Geriatric Medicine, Department of Internal Medicine, Wake Forest Alzheimer's Disease Research Center, Wake Forest School of Medicine, Winston-Salem, NC.
Alzheimer Dis Assoc Disord. 2020 Jul-Sep;34(3):191-197. doi: 10.1097/WAD.0000000000000388.
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.
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.
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 R.
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.
统一数据集版本3神经心理成套测验的常模适用于认知正常个体,其依据年龄、教育程度和性别制定;然而,这些常模不包括种族因素。我们提供了针对非裔美国人和白人的扩展常模。
纳入来自32个阿尔茨海默病中心(ADCs)以及与ADCs相关队列的数据,这些数据的全球临床痴呆评定量表(CDR)痴呆分期工具评分为0。通过年龄、性别、种族和教育程度计算每项测试的描述性统计数据。进行多元线性回归以估计每个人口统计学变量的影响;平方半偏相关系数衡量变量的相对重要性。
共有8313名参与者(16%为非裔美国人)提供了完整的人口统计学信息,根据测试不同,人数在6600至7885之间。年龄较大、受教育程度较低的群体以及非裔美国人相较于白人得分较低。在大多数测试中,教育程度是最强的预测因素,其次依次是年龄、种族和性别。年龄和教育程度的二次项具有显著性,表明存在一定的非线性,但并未显著提高决定系数(R)。
尽管基于种族的常模只是其他社会文化变量的不完整代表,但鉴于其有可能提高诊断准确性并减少衰老相关认知障碍(如阿尔茨海默病)中的错误分类偏差,合理应用这些常模很重要。