Cognitive dispersion is related to subtle objective daily functioning changes in older adults with and without cognitive impairment.

IF 4 Q1 CLINICAL NEUROLOGY
Alyssa N De Vito, Catherine H Ju, Samuel Y Lee, Anael Kuperwajs Cohen, Alexandra D Trofimova, Yan Liu, Alyssa Eichten, Adriana Hughes
{"title":"Cognitive dispersion is related to subtle objective daily functioning changes in older adults with and without cognitive impairment.","authors":"Alyssa N De Vito, Catherine H Ju, Samuel Y Lee, Anael Kuperwajs Cohen, Alexandra D Trofimova, Yan Liu, Alyssa Eichten, Adriana Hughes","doi":"10.1002/dad2.12539","DOIUrl":null,"url":null,"abstract":"<p><p>Early detection of cognitive and functional decline is difficult given that current tools are insensitive to subtle changes. The present study evaluated whether cognitive dispersion on neuropsychological testing improved prediction of objectively assessed daily functioning using unobtrusive monitoring technologies. Hierarchical linear regression was used to evaluate whether cognitive dispersion added incremental information beyond mean neuropsychological performance in the prediction of objectively assessed IADLs (i.e., computer use, pillbox use, driving) in a sample of 104 community-dwelling older adults without dementia (M<sub>age</sub> = 74.59, 38.5% Female, 90.4% White). Adjusting for age, sex, education, and mean global cognitive performance, cognitive dispersion improved prediction of average daily computer use duration (R<sup>2</sup> Δ = 0.100, F Change, <i>p</i> = 0.005), computer use duration variability (R<sup>2</sup> Δ = 0.089, F Change <i>p</i> = 0.009), and average daily duration of nighttime driving (R<sup>2</sup> Δ = 0.072, F Change <i>p</i> = 0.013). These results suggest cognitive dispersion may improve prediction of objectively assessed functional changes in older adults without dementia.</p>","PeriodicalId":53226,"journal":{"name":"Alzheimer''s and Dementia: Diagnosis, Assessment and Disease Monitoring","volume":"16 1","pages":"e12539"},"PeriodicalIF":4.0000,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10835082/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Alzheimer''s and Dementia: Diagnosis, Assessment and Disease Monitoring","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1002/dad2.12539","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/1/1 0:00:00","PubModel":"eCollection","JCR":"Q1","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

Early detection of cognitive and functional decline is difficult given that current tools are insensitive to subtle changes. The present study evaluated whether cognitive dispersion on neuropsychological testing improved prediction of objectively assessed daily functioning using unobtrusive monitoring technologies. Hierarchical linear regression was used to evaluate whether cognitive dispersion added incremental information beyond mean neuropsychological performance in the prediction of objectively assessed IADLs (i.e., computer use, pillbox use, driving) in a sample of 104 community-dwelling older adults without dementia (Mage = 74.59, 38.5% Female, 90.4% White). Adjusting for age, sex, education, and mean global cognitive performance, cognitive dispersion improved prediction of average daily computer use duration (R2 Δ = 0.100, F Change, p = 0.005), computer use duration variability (R2 Δ = 0.089, F Change p = 0.009), and average daily duration of nighttime driving (R2 Δ = 0.072, F Change p = 0.013). These results suggest cognitive dispersion may improve prediction of objectively assessed functional changes in older adults without dementia.

在有认知障碍和无认知障碍的老年人中,认知分散与客观日常功能的细微变化有关。
由于目前的工具对细微变化不敏感,因此很难及早发现认知和功能衰退。本研究评估了神经心理学测试中的认知离散度是否能利用非侵入性监测技术改善对客观评估的日常功能的预测。本研究使用层次线性回归法评估了认知离散度在预测客观评估的 IADLs(即电脑使用、药盒使用、驾驶)方面是否比平均神经心理学表现增加了更多信息,样本为 104 名居住在社区的无痴呆症老年人(年龄 = 74.59,38.5% 为女性,90.4% 为白人)。在对年龄、性别、教育程度和平均总体认知表现进行调整后,认知分散性提高了对平均每日电脑使用时间(R2 Δ = 0.100,F Change,p = 0.005)、电脑使用时间变异性(R2 Δ = 0.089,F Change,p = 0.009)和平均每日夜间驾驶时间(R2 Δ = 0.072,F Change,p = 0.013)的预测。这些结果表明,认知离散度可以改善对无痴呆症的老年人客观评估的功能变化的预测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
7.80
自引率
7.50%
发文量
101
审稿时长
8 weeks
期刊介绍: Alzheimer''s & Dementia: Diagnosis, Assessment & Disease Monitoring (DADM) is an open access, peer-reviewed, journal from the Alzheimer''s Association® that will publish new research that reports the discovery, development and validation of instruments, technologies, algorithms, and innovative processes. Papers will cover a range of topics interested in the early and accurate detection of individuals with memory complaints and/or among asymptomatic individuals at elevated risk for various forms of memory disorders. The expectation for published papers will be to translate fundamental knowledge about the neurobiology of the disease into practical reports that describe both the conceptual and methodological aspects of the submitted scientific inquiry. Published topics will explore the development of biomarkers, surrogate markers, and conceptual/methodological challenges. Publication priority will be given to papers that 1) describe putative surrogate markers that accurately track disease progression, 2) biomarkers that fulfill international regulatory requirements, 3) reports from large, well-characterized population-based cohorts that comprise the heterogeneity and diversity of asymptomatic individuals and 4) algorithmic development that considers multi-marker arrays (e.g., integrated-omics, genetics, biofluids, imaging, etc.) and advanced computational analytics and technologies.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信