Age, gender, and education norms on the CERAD neuropsychological battery in the oldest old
Age, gender, and education norms on the CERAD neuropsychological battery in the oldest old
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DOI：
10.1212/01.wnl.0000237548.15734.cd
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发表时间：
2006-09-26
期刊：
影响因子：
9.9
通讯作者：
Silverman, J. M.
中科院分区：
文献类型：
--
作者：
Beeri, M. S.;Schmeidler, J.;Silverman, J. M.
目的：评价85岁及以上非痴呆受试者在建立阿尔茨海默病登记联盟（CERAD）神经心理电池中的表现，并评估其与社会人口学变量的关系。方法：我们研究了196名参加阿尔茨海默病研究中心研究的受试者，他们有完整的CERAD神经心理学评估。我们使用多元回归分析来预测年龄、教育程度和性别在神经心理测试中的表现。创造了8个具有代表性的假设个体（例如，一位受过高等教育的87岁男性）。对于每个测试，报告了8个具有代表性的假设个体在第10、25、50和75百分位数的表现估计。结果：平均年龄89.2岁（SD = 3.2），平均受教育年数14.9岁（SD = 3.2）， 66%为女性。在14项神经心理测试中，有11项使用教育、年龄和性别作为预测因子，存在显著的多元回归模型。单独使用的模型和预测因子对延迟回忆、储蓄或正确识别都没有显著意义。在显著的结果中，有七个以教育作为最强的预测因子。年龄越小，受教育程度越高，表现越好。女性在四项测试中的三项中比男性表现得更好，在性方面的结果也很明显。结论：在以英语为主要语言的老年人样本中，神经心理测试主要受教育程度和年龄的影响。基于年轻人群并应用于最年长的老年人的分界点可能会导致假阳性错误分类的增加。
Objective: To evaluate the performance of nondemented subjects 85 years and older on the Consortium to Establish a Registry for Alzheimer's Disease (CERAD) neuropsychological battery, and to assess its relationship with sociodemographic variables. Methods: We studied 196 subjects enrolled in an Alzheimer's Disease Research Center study who had a complete CERAD neuropsychological assessment. We used multiple regression analysis to predict performance on the neuropsychological tests from age, education, and sex. Eight representative hypothetical individuals were created (for example, an 87-year-old man, with high education). For each test, estimates of performance at the 10th, 25th, 50th, and 75th percentiles were reported for the eight representative hypothetical individuals. Results: Mean age was 89.2 years (SD = 3.2), mean years of education was 14.9 (SD = 3.2), and 66% of the sample were women. For 11 of the 14 neuropsychological tests, there was a significant multiple regression model using education, age, and sex as predictors. Neither the models nor the predictors used individually were significant for Delayed Recall, Savings, or correct Recognition. Among the significant results, seven had education as the strongest predictor. Lower age and higher education were associated with better performance. Women performed better than men in three of four tests with significant results for sex. Conclusions: In a sample of oldest old whose primary language is English, neuropsychological testing is influenced mainly by education and age. Cutoff scores based on younger populations and applied to the oldest old might lead to increased false-positive misclassifications.