Content area

Abstract

Background

This study aimed to investigate the relationship between cognition, Alzheimer's disease (AD) biomarkers, and instrumental activities of daily living (IADL) performance among cognitively normal (CN) older adults, to identify key predictors of IADL performance. A better understanding of the combined influence of cognitive function and AD pathology on IADL performance in CN older adults could lead to the development of more precise functional screening tools for preclinical AD, improved functional outcome measures for AD and aging, and the development of interventions designed to maintain or improve IADL performance.

Method

CN older adults (n = 173) performed three IADL tasks (shopping, checkbook balancing, medication management) from the Performance Assessment of Self‐Care Skills in their home. Cognitive and AD biomarker assessments were completed in an academic medical center. Amyloid and tau positron emission tomography (PET) were used to measure AD pathology. IADL performance was transformed into one composite score and dichotomized (better vs. worse, split at median). Cognitive assessments were transformed to create composites: Global, Episodic Memory, Semantic Memory, Attention & Processing, Working Memory, and Visuospatial. Logistic regression models were used to examine cognitive and biomarker predictors of IADL performance while controlling for demographic covariates.

Result

Cognitive domains, particularly the Global composite (OR=0.34, p < 0.001) and Attention & Processing (OR=0.40, p = 0.001), emerged as strong predictors of IADL performance. Higher amyloid burden (OR=1.82, p = 0.015) was associated with worse IADL performance and tauopathy (OR=1.61, p = 0.060) demonstrated a trend toward association. Comparison of predictive models identified additive influences of cognition and amyloid in predicting IADL performance.

Conclusion

These findings suggest that cognitive function, particularly Global and Attention & Processing domains, and AD pathological burden play significant, complementary roles in IADL performance among CN older adults. Findings may be used to inform the development of sensitive functional assessments in preclinical AD that focus on key deficits, and later to develop interventions targeting important modifiable factors and compensatory rehabilitative methods to improve IADL performance in everyday life.

Details

1009240
Title
Cognitive predictors of daily activity performance
Author
Keleman, Audrey A. 1 ; Weakley, Alyssa 2 ; Bollinger, Rebecca M. 3 ; Foster, Erin 4 ; McKay, Nicole S. 5 ; Millar, Peter R 6 ; Hassenstab, Jason J. 5 ; Benzinger, Tammie L.S. 3 ; Morris, John C. 5 ; Ances, Beau 3 ; Stark, Susan L. 3 

 Washington University in St. Louis School of Medicine, St. Louis, MO, USA,, Department of Veterans Affairs, Aurora, CO, USA,, University of Colorado Denver, Aurora, CO, USA, 
 University of California, Davis School of Medicine, Sacramento, CA, USA, 
 Washington University in St. Louis School of Medicine, St. Louis, MO, USA, 
 Washington University in St. Louis, St. Louis, MO, USA, 
 Washington University in St. Louis, School of Medicine, St. Louis, MO, USA, 
 Washington University School of Medicine, St. Louis, MO, USA, 
Publication title
Volume
21
Supplement
S3
Number of pages
3
Publication year
2025
Publication date
Dec 1, 2025
Section
CLINICAL MANIFESTATIONS
Publisher
John Wiley & Sons, Inc.
Place of publication
Chicago
Country of publication
United States
ISSN
1552-5260
e-ISSN
1552-5279
Source type
Scholarly Journal
Language of publication
English
Document type
Journal Article
Publication history
 
 
Online publication date
2025-12-26
Milestone dates
2025-12-26 (publishedOnlineFinalForm)
Publication history
 
 
   First posting date
26 Dec 2025
ProQuest document ID
3286951693
Document URL
https://www.proquest.com/scholarly-journals/cognitive-predictors-daily-activity-performance/docview/3286951693/se-2?accountid=208611
Copyright
© 2025. This work is published under http://creativecommons.org/licenses/by/4.0/ (the "License"). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Last updated
2025-12-26
Database
ProQuest One Academic