A - 13 Cognitive Correlates of Technology-Based Instrumental Activities of Daily Living Performance in Older Adults Presenting for Cognitive Evaluations

Abstract Objective Rapid advances in technology have altered how daily activities are performed. Accumulating evidence suggests technology-based instrumental activities of daily living (iADLs) are increasingly common in older adults’ lives, and assessing these skills may improve diagnostic identification of individuals with Alzheimer’s disease and related dementias (ADRD). While iADLs are complex tasks reliant on multiple cognitive processes, prior work suggests memory and executive functioning are the cognitive processes most strongly predictive of iADL performance in ADRD. However, whether similar associations exist with technology-based iADLs has not been established. The goal of the present study was to evaluate the cognitive correlates of technology-based compared to traditional iADL items. Method One hundred seventy-eight individuals (mean age: 75.35 ± 7.30) presenting for evaluation of cognitive status completed tests of memory, executive functioning, language, and processing speed. Care partners completed the Functional Activities Questionnaire (FAQ) and 11 technology-based iADL items. Associations between cognition and traditional and technology-based FAQ items were examined through Pearson’s correlations and multiple regression analyses. Results Cognition was significantly correlated with both traditional and technology-based iADLs (|r’s| > 0.30, p’s.44). In multiple regression models, executive functioning and processing speed but not memory were the strongest predictors of traditional iADL performance (p’s < 0.02), but for independence with technology-based iADLs, executive functioning alone (p < 0.001) emerged. Conclusions Relations between cognition and daily functioning are similar for both traditional and technology-based FAQ items, with executive functioning particularly relevant for both types of tasks. Implications for clinical practice and technology-based interventions are discussed.

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Publication Details

Journal
Archives of Clinical Neuropsychology
Published
2024-09-12
DOI
https://doi.org/10.1093/arclin/acae067.027
Primary Topic
Stroke Rehabilitation and Recovery
Type
article
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article

A - 13 Cognitive Correlates of Technology-Based Instrumental Activities of Daily Living Performance in Older Adults Presenting for Cognitive Evaluations

Andrew M. Kiselica, Robin C. Hilsabeck, Jared F. Benge, Michael K. Scullin et al.
Archives of Clinical Neuropsychology
Stroke Rehabilitation and Recovery
article

A - 13 Cognitive Correlates of Technology-Based Instrumental Activities of Daily Living Performance in Older Adults Presenting for Cognitive Evaluations

Andrew M. Kiselica, Robin C. Hilsabeck, Jared F. Benge, Michael K. Scullin, Rachel Mis, David A. Gonzalez
article en

Abstract

Abstract Objective Rapid advances in technology have altered how daily activities are performed. Accumulating evidence suggests technology-based instrumental activities of daily living (iADLs) are increasingly common in older adults’ lives, and assessing these skills may improve diagnostic identification of individuals with Alzheimer’s disease and related dementias (ADRD). While iADLs are complex tasks reliant on multiple cognitive processes, prior work suggests memory and executive functioning are the cognitive processes most strongly predictive of iADL performance in ADRD. However, whether similar associations exist with technology-based iADLs has not been established. The goal of the present study was to evaluate the cognitive correlates of technology-based compared to traditional iADL items. Method One hundred seventy-eight individuals (mean age: 75.35 ± 7.30) presenting for evaluation of cognitive status completed tests of memory, executive functioning, language, and processing speed. Care partners completed the Functional Activities Questionnaire (FAQ) and 11 technology-based iADL items. Associations between cognition and traditional and technology-based FAQ items were examined through Pearson’s correlations and multiple regression analyses. Results Cognition was significantly correlated with both traditional and technology-based iADLs (|r’s| > 0.30, p’s.44). In multiple regression models, executive functioning and processing speed but not memory were the strongest predictors of traditional iADL performance (p’s < 0.02), but for independence with technology-based iADLs, executive functioning alone (p < 0.001) emerged. Conclusions Relations between cognition and daily functioning are similar for both traditional and technology-based FAQ items, with executive functioning particularly relevant for both types of tasks. Implications for clinical practice and technology-based interventions are discussed.

Archives of Clinical Neuropsychology
Openalex Percentile: Top 82%
Stroke Rehabilitation and Recovery
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