Talboom J S, De Both M D, Naymik M A, Schmidt A M, Lewis C R, Jepsen W M, Håberg A K, Rundek T, Levin B E, Hoscheidt S, Bolla Y, Brinton R D, Schork N J, Hay M, Barnes C A, Glisky E, Ryan L, Huentelman M J
The Translational Genomics Research Institute (TGen), Phoenix, AZ, USA.
Arizona Alzheimer's Consortium, Phoenix, AZ, USA.
NPJ Aging Mech Dis. 2021 Jul 1;7(1):14. doi: 10.1038/s41514-021-00067-6.
To identify potential factors influencing age-related cognitive decline and disease, we created MindCrowd. MindCrowd is a cross-sectional web-based assessment of simple visual (sv) reaction time (RT) and paired-associate learning (PAL). svRT and PAL results were combined with 22 survey questions. Analysis of svRT revealed education and stroke as potential modifiers of changes in processing speed and memory from younger to older ages (n = 75,666, n = 47,700, n = 27,966; ages 18-85 years old, mean (M) = 46.54, standard deviation (SD) = 18.40). To complement this work, we evaluated complex visual recognition reaction time (cvrRT) in the UK Biobank (n = 158,249 n = 89,333 n = 68,916; ages 40-70 years old, M = 55.81, SD = 7.72). Similarities between the UK Biobank and MindCrowd were assessed using a subset of MindCrowd (UKBb MindCrowd) selected to mirror the UK Biobank demographics (n = 39,795, n = 29,640, n = 10,155; ages 40-70 years old, M = 56.59, SD = 8.16). An identical linear model (LM) was used to assess both cohorts. Analyses revealed similarities between MindCrowd and the UK Biobank across most results. Divergent findings from the UK Biobank included (1) a first-degree family history of Alzheimer's disease (FHAD) was associated with longer cvrRT. (2) Men with the least education were associated with longer cvrRTs comparable to women across all educational attainment levels. Divergent findings from UKBb MindCrowd included more education being associated with shorter svRTs and a history of smoking with longer svRTs from younger to older ages.
为了确定影响与年龄相关的认知衰退和疾病的潜在因素，我们创建了MindCrowd。MindCrowd是一项基于网络的横断面评估，涉及简单视觉（sv）反应时间（RT）和配对联想学习（PAL）。svRT和PAL结果与22个调查问卷问题相结合。对svRT的分析显示，教育程度和中风是从年轻时到老年时处理速度和记忆力变化的潜在调节因素（n = 75,666，n = 47,700，n = 27,966；年龄18 - 85岁，均值（M）= 46.54，标准差（SD）= 18.40）。为补充这项工作，我们在英国生物银行中评估了复杂视觉识别反应时间（cvrRT）（n = 158,249，n = 89,333，n = 68,916；年龄40 - 70岁，M = 55.81，SD = 7.72）。使用MindCrowd的一个子集（UKBb MindCrowd）评估英国生物银行和MindCrowd之间的相似性，该子集的选择旨在反映英国生物银行的人口统计学特征（n = 39,795，n = 29,640，n = 10,155；年龄40 - 70岁，M = 56.59，SD = 8.16）。使用相同的线性模型（LM）评估这两个队列。分析显示MindCrowd和英国生物银行在大多数结果上具有相似性。英国生物银行的不同发现包括：（1）阿尔茨海默病的一级家族史（FHAD）与更长的cvrRT相关。（2）在所有教育程度水平上，受教育程度最低的男性与更长的cvrRT相关，这与女性相当。UKBb MindCrowd的不同发现包括，更多的教育与更短的svRT相关，以及从年轻时到老年时，吸烟史与更长的svRT相关。
