University of Alabama at Birmingham, Heersink School of Medicine, Evelyn F. McKnight Brain Institute, Birmingham, AL, USA.
University of Miami, Miller School of Medicine, Evelyn F. McKnight Brain Institute, Miami, FL, USA.
J Int Neuropsychol Soc. 2023 Jul;29(6):605-614. doi: 10.1017/S1355617722000443. Epub 2022 Oct 14.
To evaluate the construct validity of the NIH Toolbox Cognitive Battery (NIH TB-CB) in the healthy oldest-old (85+ years old).
Our sample from the McKnight Brain Aging Registry consists of 179 individuals, 85 to 99 years of age, screened for memory, neurological, and psychiatric disorders. Using previous research methods on a sample of 85 + y/o adults, we conducted confirmatory factor analyses on models of NIH TB-CB and same domain standard neuropsychological measures. We hypothesized the five-factor model (Reading, Vocabulary, Memory, Working Memory, and Executive/Speed) would have the best fit, consistent with younger populations. We assessed confirmatory and discriminant validity. We also evaluated demographic and computer use predictors of NIH TB-CB composite scores.
Findings suggest the six-factor model (Vocabulary, Reading, Memory, Working Memory, Executive, and Speed) had a better fit than alternative models. NIH TB-CB tests had good convergent and discriminant validity, though tests in the executive functioning domain had high inter-correlations with other cognitive domains. Computer use was strongly associated with higher NIH TB-CB overall and fluid cognition composite scores.
The NIH TB-CB is a valid assessment for the oldest-old samples, with relatively weak validity in the domain of executive functioning. Computer use's impact on composite scores could be due to the executive demands of learning to use a tablet. Strong relationships of executive function with other cognitive domains could be due to cognitive dedifferentiation. Overall, the NIH TB-CB could be useful for testing cognition in the oldest-old and the impact of aging on cognition in older populations.
评估 NIH 工具包认知电池（NIH TB-CB）在健康高龄人群（85 岁以上）中的结构效度。
我们的样本来自 McKnight 大脑衰老登记处，由 179 名 85 至 99 岁的个体组成，这些个体经过记忆、神经和精神障碍筛查。使用针对 85 岁以上成年人样本的先前研究方法，我们对 NIH TB-CB 模型和相同领域标准神经心理学测量进行了验证性因子分析。我们假设五因素模型（阅读、词汇、记忆、工作记忆和执行/速度）将具有最佳拟合度，与年轻人群一致。我们评估了验证性和判别效度。我们还评估了 NIH TB-CB 综合评分的人口统计学和计算机使用预测因素。
研究结果表明，六因素模型（词汇、阅读、记忆、工作记忆、执行和速度）比替代模型具有更好的拟合度。NIH TB-CB 测试具有良好的收敛和判别效度，尽管执行功能域中的测试与其他认知域之间存在高度相关性。计算机使用与 NIH TB-CB 整体和流体认知综合评分高度相关。
NIH TB-CB 是高龄人群样本的有效评估工具，在执行功能域的有效性相对较弱。计算机使用对综合评分的影响可能是由于学习使用平板电脑需要执行功能。执行功能与其他认知域之间的强烈关系可能是由于认知去分化。总体而言，NIH TB-CB 可用于测试高龄人群的认知能力以及衰老对老年人群认知能力的影响。
