Department of Medicine (Geriatrics Division) and Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, North Carolina, USA.
Duke Center for the Study of Aging and Human Development, Duke University School of Medicine, Durham, North Carolina, USA.
Alzheimers Dement. 2023 Sep;19(9):4174-4186. doi: 10.1002/alz.13313. Epub 2023 Jun 25.
We developed demographically-adjusted normative data for Spanish- and English-speaking Latinos on the Version 3.0 of the National Alzheimer's Coordinating Center Uniform Data Set Neuropsychological Battery (UDS3-NB).
Healthy Latino adults (N = 437) age 50-94 (191 Spanish- and 246 English-speaking) enrolled in Alzheimer's Disease Research Centers completed the UDS3-NB in their preferred language. Normative data were developed via multiple linear regression models on UDS3-NB raw scores stratified by language group with terms for demographic characteristics (age, years of formal education, and sex).
Younger age and more years of education were associated with better performance on most tests in both language groups, with education being particularly influential on raw scores among Spanish-speakers. Sex effects varied across tests and language groups.
These normative data are a crucial step toward improving diagnostic accuracy of the UDS3-NB for neurocognitive disorders among Latinos in the United States and addressing disparities in Alzheimer's disease and related dementias.
We developed normative data on the UDS3-NB for Latinos in the US ages 50-94. Younger age and more years of education were linked to better raw scores in several cognitive tests. Education was particularly influential on raw scores among Spanish-speakers. Sex effects varied across tests and between English- and Spanish-speaking Latinos. These normative data might improve diagnostic accuracy of the UDS3-NB among Latinos.
我们为西班牙语和英语母语的拉丁裔人群开发了 3.0 版国家阿尔茨海默病协调中心统一数据集中的神经心理学成套测验(UDS3-NB)的年龄调整后常模数据。
年龄在 50-94 岁的健康拉丁裔成年人(N=437,191 名西班牙语母语者和 246 名英语母语者)参加了阿尔茨海默病研究中心,他们用自己的母语完成了 UDS3-NB。通过按语言组分层的 UDS3-NB 原始分数的多元线性回归模型,使用年龄、受教育年限和性别等人口统计学特征的术语来开发常模数据。
在两个语言组中,年龄较小和受教育年限较长与大多数测试的表现更好相关,而在西班牙语母语者中,受教育程度对原始分数的影响尤为显著。性别效应在不同的测试和语言组中有所不同。
这些常模数据是提高 UDS3-NB 在美国拉丁裔人群中诊断神经认知障碍准确性的关键步骤,也是解决阿尔茨海默病和相关痴呆症中的差异的重要步骤。
我们为美国 50-94 岁的拉丁裔人群开发了 UDS3-NB 的常模数据。年龄较小和受教育年限较长与多项认知测试的原始分数更好相关。在西班牙语母语者中,受教育程度对原始分数的影响尤为显著。性别效应在不同的测试和英语、西班牙语母语的拉丁裔人群中有所不同。这些常模数据可能会提高 UDS3-NB 在拉丁裔人群中的诊断准确性。