Understanding the cognitive factors which contribute to individual differences in financial capacity in aging

Abstract Aging is accompanied by changes in multiple cognitive domains, which can impact older adults’ ability to maintain independence. The ability to manage one’s personal finances is an activity of daily living most often studied in the context of Mild Cognitive Impairment and dementia. However,...

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Main Authors: Hsiang-Yu Chen, Bailey C. Gold, Claire J. Ciampa, Jennifer L. Crawford, Alex A. Adornato, Jordyn L. Cowan, Katherine E. O’Malley, Hannah R. Snyder, Anne S. Berry
Format: Article
Language:English
Published: Nature Portfolio 2025-05-01
Series:Scientific Reports
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Online Access:https://doi.org/10.1038/s41598-025-00120-4
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author Hsiang-Yu Chen
Bailey C. Gold
Claire J. Ciampa
Jennifer L. Crawford
Alex A. Adornato
Jordyn L. Cowan
Katherine E. O’Malley
Hannah R. Snyder
Anne S. Berry
author_facet Hsiang-Yu Chen
Bailey C. Gold
Claire J. Ciampa
Jennifer L. Crawford
Alex A. Adornato
Jordyn L. Cowan
Katherine E. O’Malley
Hannah R. Snyder
Anne S. Berry
author_sort Hsiang-Yu Chen
collection DOAJ
description Abstract Aging is accompanied by changes in multiple cognitive domains, which can impact older adults’ ability to maintain independence. The ability to manage one’s personal finances is an activity of daily living most often studied in the context of Mild Cognitive Impairment and dementia. However, it is critical that we also understand the nature and sources of variation in financial capacity in cognitively unimpaired populations. This study aimed to establish meaningful individual differences in financial capacity in this population and to define those primary behavioral predictors of individual differences. Applying a partial least squares correlation approach, we found significant associations between financial capacity, as assessed by the Financial Capacity-Short Form, and a battery of neuropsychological and self-report measures in normal aging (r = .56, p < .001). Key predictors of financial capacity included fluid reasoning, crystallized intelligence, working memory updating, visual memory, and self-reported sleep duration (|rs| = 0.29−0.56, ps = 0.02− 0.001). These findings indicate that financial capacity is supported by multiple cognitive domains in aging. Further, associations with fluid reasoning and crystallized intelligence suggest some individuals may be more protected against clinically-relevant impairment in financial capacity through cognitive reserve mechanisms.
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spelling doaj-art-ec28e7f2190a491bbdb91c25cb9cfa342025-08-20T02:10:49ZengNature PortfolioScientific Reports2045-23222025-05-0115111010.1038/s41598-025-00120-4Understanding the cognitive factors which contribute to individual differences in financial capacity in agingHsiang-Yu Chen0Bailey C. Gold1Claire J. Ciampa2Jennifer L. Crawford3Alex A. Adornato4Jordyn L. Cowan5Katherine E. O’Malley6Hannah R. Snyder7Anne S. Berry8Department of Psychology, Brandeis UniversityDepartment of Psychology, Brandeis UniversityDepartment of Psychology, Brandeis UniversityDepartment of Psychology, Brandeis UniversityDepartment of Psychology, Brandeis UniversityDepartment of Psychology, Brandeis UniversityDepartment of Psychology, Brandeis UniversityDepartment of Psychology, Brandeis UniversityDepartment of Psychology, Brandeis UniversityAbstract Aging is accompanied by changes in multiple cognitive domains, which can impact older adults’ ability to maintain independence. The ability to manage one’s personal finances is an activity of daily living most often studied in the context of Mild Cognitive Impairment and dementia. However, it is critical that we also understand the nature and sources of variation in financial capacity in cognitively unimpaired populations. This study aimed to establish meaningful individual differences in financial capacity in this population and to define those primary behavioral predictors of individual differences. Applying a partial least squares correlation approach, we found significant associations between financial capacity, as assessed by the Financial Capacity-Short Form, and a battery of neuropsychological and self-report measures in normal aging (r = .56, p < .001). Key predictors of financial capacity included fluid reasoning, crystallized intelligence, working memory updating, visual memory, and self-reported sleep duration (|rs| = 0.29−0.56, ps = 0.02− 0.001). These findings indicate that financial capacity is supported by multiple cognitive domains in aging. Further, associations with fluid reasoning and crystallized intelligence suggest some individuals may be more protected against clinically-relevant impairment in financial capacity through cognitive reserve mechanisms.https://doi.org/10.1038/s41598-025-00120-4Financial capacityExecutive functionIntelligenceCognitively normal agingPartial least squares correlation
spellingShingle Hsiang-Yu Chen
Bailey C. Gold
Claire J. Ciampa
Jennifer L. Crawford
Alex A. Adornato
Jordyn L. Cowan
Katherine E. O’Malley
Hannah R. Snyder
Anne S. Berry
Understanding the cognitive factors which contribute to individual differences in financial capacity in aging
Scientific Reports
Financial capacity
Executive function
Intelligence
Cognitively normal aging
Partial least squares correlation
title Understanding the cognitive factors which contribute to individual differences in financial capacity in aging
title_full Understanding the cognitive factors which contribute to individual differences in financial capacity in aging
title_fullStr Understanding the cognitive factors which contribute to individual differences in financial capacity in aging
title_full_unstemmed Understanding the cognitive factors which contribute to individual differences in financial capacity in aging
title_short Understanding the cognitive factors which contribute to individual differences in financial capacity in aging
title_sort understanding the cognitive factors which contribute to individual differences in financial capacity in aging
topic Financial capacity
Executive function
Intelligence
Cognitively normal aging
Partial least squares correlation
url https://doi.org/10.1038/s41598-025-00120-4
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