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

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...

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Main Authors: Alyssa N. De Vito, Catherine H. Ju, Samuel Y. Lee, Anael Kuperwajs Cohen, Alexandra D. Trofimova, Yan Liu, Alyssa Eichten, Adriana Hughes
Format: Article
Language:English
Published: Wiley 2024-01-01
Series:Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring
Subjects:
Online Access:https://doi.org/10.1002/dad2.12539
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author Alyssa N. De Vito
Catherine H. Ju
Samuel Y. Lee
Anael Kuperwajs Cohen
Alexandra D. Trofimova
Yan Liu
Alyssa Eichten
Adriana Hughes
author_facet Alyssa N. De Vito
Catherine H. Ju
Samuel Y. Lee
Anael Kuperwajs Cohen
Alexandra D. Trofimova
Yan Liu
Alyssa Eichten
Adriana Hughes
author_sort Alyssa N. De Vito
collection DOAJ
description 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.
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spelling doaj.art-476828c4f5604a798765f920c4c8c1b02024-03-27T13:14:40ZengWileyAlzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring2352-87292024-01-01161n/an/a10.1002/dad2.12539Cognitive dispersion is related to subtle objective daily functioning changes in older adults with and without cognitive impairmentAlyssa N. De Vito0Catherine H. Ju1Samuel Y. Lee2Anael Kuperwajs Cohen3Alexandra D. Trofimova4Yan Liu5Alyssa Eichten6Adriana Hughes7Department of Psychiatry and Human Behavior Warren Alpert Medical School of Brown University Providence Rhode Island USADepartment of Psychology West Virginia University Morgantown West Virginia USAMasonic Cancer Center University of Minnesota Minneapolis Minnesota USAMasonic Cancer Center University of Minnesota Minneapolis Minnesota USAMasonic Cancer Center University of Minnesota Minneapolis Minnesota USASchool of Public Health Oregon Health & Science University‐Portland State University Portland Oregon USAMasonic Cancer Center University of Minnesota Minneapolis Minnesota USAMasonic Cancer Center University of Minnesota Minneapolis Minnesota USAAbstract 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.https://doi.org/10.1002/dad2.12539cognitive variabilitydaily functioningmild cognitive impairmentpassive monitoringsensors
spellingShingle Alyssa N. De Vito
Catherine H. Ju
Samuel Y. Lee
Anael Kuperwajs Cohen
Alexandra D. Trofimova
Yan Liu
Alyssa Eichten
Adriana Hughes
Cognitive dispersion is related to subtle objective daily functioning changes in older adults with and without cognitive impairment
Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring
cognitive variability
daily functioning
mild cognitive impairment
passive monitoring
sensors
title Cognitive dispersion is related to subtle objective daily functioning changes in older adults with and without cognitive impairment
title_full Cognitive dispersion is related to subtle objective daily functioning changes in older adults with and without cognitive impairment
title_fullStr Cognitive dispersion is related to subtle objective daily functioning changes in older adults with and without cognitive impairment
title_full_unstemmed Cognitive dispersion is related to subtle objective daily functioning changes in older adults with and without cognitive impairment
title_short Cognitive dispersion is related to subtle objective daily functioning changes in older adults with and without cognitive impairment
title_sort cognitive dispersion is related to subtle objective daily functioning changes in older adults with and without cognitive impairment
topic cognitive variability
daily functioning
mild cognitive impairment
passive monitoring
sensors
url https://doi.org/10.1002/dad2.12539
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