Suppr超能文献

基于智能手机的非监督高频认知评估在有阿尔茨海默病风险的老年人中是可靠、有效且可行的。

Unsupervised high-frequency smartphone-based cognitive assessments are reliable, valid, and feasible in older adults at risk for Alzheimer's disease.

机构信息

Charles F. and Joanne Knight Alzheimer Disease Research Center, Department of Neurology, Washington University, School of Medicine, St. Louis, MO, USA.

Department of Psychological & Brain Sciences, Washington University in St. Louis, St. Louis, MO, USA.

出版信息

J Int Neuropsychol Soc. 2023 Jun;29(5):459-471. doi: 10.1017/S135561772200042X. Epub 2022 Sep 5.

Abstract

OBJECTIVE

Smartphones have the potential for capturing subtle changes in cognition that characterize preclinical Alzheimer's disease (AD) in older adults. The Ambulatory Research in Cognition (ARC) smartphone application is based on principles from ecological momentary assessment (EMA) and administers brief tests of associative memory, processing speed, and working memory up to 4 times per day over 7 consecutive days. ARC was designed to be administered unsupervised using participants' personal devices in their everyday environments.

METHODS

We evaluated the reliability and validity of ARC in a sample of 268 cognitively normal older adults (ages 65-97 years) and 22 individuals with very mild dementia (ages 61-88 years). Participants completed at least one 7-day cycle of ARC testing and conventional cognitive assessments; most also completed cerebrospinal fluid, amyloid and tau positron emission tomography, and structural magnetic resonance imaging studies.

RESULTS

First, ARC tasks were reliable as between-person reliability across the 7-day cycle and test-retest reliabilities at 6-month and 1-year follow-ups all exceeded 0.85. Second, ARC demonstrated construct validity as evidenced by correlations with conventional cognitive measures ( = 0.53 between composite scores). Third, ARC measures correlated with AD biomarker burden at baseline to a similar degree as conventional cognitive measures. Finally, the intensive 7-day cycle indicated that ARC was feasible (86.50% approached chose to enroll), well tolerated (80.42% adherence, 4.83% dropout), and was rated favorably by older adult participants.

CONCLUSIONS

Overall, the results suggest that ARC is reliable and valid and represents a feasible tool for assessing cognitive changes associated with the earliest stages of AD.

摘要

目的

智能手机有可能捕捉到认知的细微变化,这些变化特征是老年人群中临床前阿尔茨海默病(AD)的表现。基于生态瞬时评估(EMA)原理开发的认知动态监测(ARC)智能手机应用程序,每天对参与者进行 4 次短暂的联想记忆、处理速度和工作记忆测试,连续 7 天。ARC 的设计目的是在参与者的日常环境中使用他们自己的个人设备进行无人监督的管理。

方法

我们评估了认知正常的 268 名老年人(年龄 65-97 岁)和 22 名轻度痴呆症患者(年龄 61-88 岁)样本中 ARC 的可靠性和有效性。参与者至少完成了一个 7 天的 ARC 测试周期和常规认知评估;大多数人还完成了脑脊液、淀粉样蛋白和 tau 正电子发射断层扫描和结构磁共振成像研究。

结果

首先,ARC 任务具有可靠性,7 天周期内的个体间可靠性以及 6 个月和 1 年随访时的测试-重测可靠性均超过 0.85。其次,ARC 表现出构念效度,因为它与常规认知测量相关(综合评分之间的相关性为 0.53)。第三,ARC 测量与基线时的 AD 生物标志物负担具有相似程度的相关性,与常规认知测量相似。最后,密集的 7 天周期表明 ARC 是可行的(86.50%的参与者选择入组),具有良好的耐受性(80.42%的依从性,4.83%的失访率),并且受到老年参与者的好评。

结论

总的来说,结果表明 ARC 具有可靠性和有效性,并且是评估与 AD 最早阶段相关的认知变化的可行工具。

相似文献

引用本文的文献

本文引用的文献

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验