Amitrano Nicholas R, Lord Alinda Rafaela, González David Andrés
Department of Psychology, Wheaton College, Wheaton, IL, USA.
Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA.
Appl Neuropsychol Adult. 2024 Aug 29:1-8. doi: 10.1080/23279095.2024.2396380.
Our objective was to establish normative data and reliable change indices (RCI) for the Montreal Cognitive Assessment's auditory items (MoCA-22). 4,935 cognitively unimpaired participants were administered the MoCA during an in-person visit to an Alzheimer's Disease Research Center ( = 67.9, = 16.2, 65.8% women, 75.9% non-Hispanic-White), with 2,319 unimpaired participants returning for follow-up. Normative values and cutoffs were developed using demographic predictions from ordinary and quantile regression. Test-retest reliability was calculated using Spearman and intraclass correlations. RCI values were calculated using Chelune and colleagues' (1993) formula. Education, age, and sex were all statistically related to MoCA-22 scores, with education having the strongest relationship. Notably, these relationships were not consistent across MoCA-22 quantiles, with education becoming more important and sex becoming less important for predicting low scores. These models were integrated into a calculator for deriving normative scores for an individual case. Furthermore, there was adequate-to-good test-retest reliability (ϱ = 0.56 95% CI [.54, .59]; ICC = 0.75, 95% CI [.73, .77]) and changes of at least 2-3 points are necessary to identify reliable change at 1-3-year follow-up. These findings add to the literature regarding utility of the MoCA-22 in the cognitive screening of older adults.
我们的目标是为蒙特利尔认知评估量表的听觉项目（MoCA-22）建立常模数据和可靠变化指数（RCI）。4935名认知功能未受损的参与者在前往阿尔茨海默病研究中心进行面对面访视时接受了MoCA测试（年龄均值=67.9岁，标准差=16.2，65.8%为女性，75.9%为非西班牙裔白人），其中2319名未受损参与者返回进行随访。使用普通回归和分位数回归的人口统计学预测来制定常模值和临界值。通过斯皮尔曼相关性和组内相关性计算重测信度。RCI值使用Chelune及其同事（1993年）的公式计算。教育程度、年龄和性别均与MoCA-22得分存在统计学关联，其中教育程度的关联最强。值得注意的是，这些关系在MoCA-22的各个分位数上并不一致，对于预测低分而言，教育程度变得更为重要，而性别变得不那么重要。这些模型被整合到一个计算器中，用于得出单个病例的常模分数。此外，可以观察到良好的重测信度（ϱ = 0.56，95%置信区间[.54, . .59]；组内相关系数ICC = 0.75，95%置信区间[.73, .77]），并且在1至3年的随访中，至少2至3分的变化对于识别可靠变化是必要的。这些发现为有关MoCA-22在老年人认知筛查中的效用的文献增添了内容。
