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Christianson K, Prabhu M, Popp ZT, Rahman MS, Drane J, Lee M, Lathan C, Lin H, Au R, Sunderaraman P, Hwang PH. Adherence type impacts completion rates of frequent mobile cognitive assessments among older adults with and without cognitive impairment. RESEARCH SQUARE 2023:rs.3.rs-3350075. [PMID: 37841867 PMCID: PMC10571616 DOI: 10.21203/rs.3.rs-3350075/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/17/2023]
Abstract
Background Prior to a diagnosis of Alzheimer's disease, many individuals experience cognitive and behavioral fluctuations that are not detected during a single session of traditional neuropsychological assessment. Mobile applications now enable high-frequency cognitive data to be collected remotely, introducing new opportunities and challenges. Emerging evidence suggests cognitively impaired older adults are capable of completing mobile assessments frequently, but no study has observed whether completion rates vary by assessment frequency or adherence type. Methods Thirty-three older adults were recruited from the Boston University Alzheimer's Disease Research Center (mean age = 73.5 years; 27.3% cognitively impaired; 57.6% female; 81.8% White, 18.2% Black). Participants remotely downloaded and completed the DANA Brain Vital application on their own mobile devices throughout the study. The study schedule included seventeen assessments to be completed over the course of a year. Specific periods during which assessments were expected to be completed were defined as subsegments, while segments consisted of multiple subsegments. The first segment included three subsegments to be completed within one week, the second segment included weekly subsegments and spanned three weeks, and the third and fourth segments included monthly subsegments spanning five and six months, respectively. Three distinct adherence types - subsegment adherence, segment adherence, and cumulative adherence - were examined to determine how completion rates varied depending on assessment frequency and adherence type. Results Adherence type significantly impacted whether the completion rates declined. When utilizing subsegment adherence, the completion rate significantly declined (p = 0.05) during the fourth segment. However, when considering completion rates from the perspective of segment adherence, a decline in completion rate was not observed. Overall adherence rates increased as adherence parameters were broadened from subsegment adherence (60.6%) to segment adherence (78.8%), to cumulative adherence (90.9%). Conclusions Older adults, including those with cognitive impairment, are able to complete remote cognitive assessments at a high-frequency, but may not necessarily adhere to prescribed schedules.
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Affiliation(s)
| | | | | | | | | | | | | | | | - Rhoda Au
- Boston University School of Medicine
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Sunderaraman P, Lee S, Varangis E, Habeck C, Chapman S, Joyce JL, Hartstone W, Brickman AM, Stern Y, Cosentino S. Self-awareness for financial decision making abilities is linked to right temporal cortical thickness in older adults. Brain Imaging Behav 2022; 16:1139-1147. [PMID: 34761323 PMCID: PMC9202645 DOI: 10.1007/s11682-021-00590-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/18/2021] [Indexed: 11/30/2022]
Abstract
Everyday financial decision making and the awareness of the integrity of one's financial decision making abilities (or financial awareness) are both critical to study in older adults as they can help identify those at risk for making suboptimal financial decisions and prevent financial loss. In the current study, we examined the cognitive and cortical thickness correlates of financial decision making and financial awareness in 59 community-dwelling participants co-enrolled in a larger study (mean age=68.35 years (SD=5.5), mean education=15.91 (SD=2.36), 61% = women, 67% = White, 30% = Black participants). Data from standardized measures of financial decision making and cognition was investigated along with FreeSurfer (v. 5.3) derived thickness regions. Based on metacognitive frameworks, financial awareness was measured along with a well-validated measure of memory awareness. Results revealed that numeracy, executive functioning and vocabulary were associated with financial decision making, whereas in analysis adjusted for financial decision making, memory awareness relative to cognition was most strongly linked to financial awareness. No significant associations between thickness and financial decision making were found. However, both financial and memory awareness were associated with the same right-hemisphere temporal thickness regions underscoring the idea of a common substrate of awareness. Interestingly, our findings converge with the emerging work on financial exploitation in which the right sided temporal regions have been found to play a prominent role. Incorporating the contributing role of self-awareness in various models of financial exploitation will be an important consideration for future studies.
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Affiliation(s)
- Preeti Sunderaraman
- Cognitive Neuroscience Division of the Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, NY, USA.
- Gertrude. H. Sergievsky Center, Columbia University Irving Medical Center, New York, NY, USA.
- Department of Neurology, Columbia University Irving Medical Center, New York, NY, USA.
| | - Seonjoo Lee
- Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, USA
| | - Eleanna Varangis
- Cognitive Neuroscience Division of the Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, NY, USA
- Gertrude. H. Sergievsky Center, Columbia University Irving Medical Center, New York, NY, USA
- Department of Neurology, Columbia University Irving Medical Center, New York, NY, USA
- Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, USA
| | - Christian Habeck
- Cognitive Neuroscience Division of the Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, NY, USA
- Gertrude. H. Sergievsky Center, Columbia University Irving Medical Center, New York, NY, USA
- Department of Neurology, Columbia University Irving Medical Center, New York, NY, USA
| | - Silvia Chapman
- Cognitive Neuroscience Division of the Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, NY, USA
- Gertrude. H. Sergievsky Center, Columbia University Irving Medical Center, New York, NY, USA
- Department of Neurology, Columbia University Irving Medical Center, New York, NY, USA
| | - Jillian L Joyce
- Cognitive Neuroscience Division of the Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, NY, USA
- Gertrude. H. Sergievsky Center, Columbia University Irving Medical Center, New York, NY, USA
| | - Whitney Hartstone
- Cognitive Neuroscience Division of the Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, NY, USA
- Gertrude. H. Sergievsky Center, Columbia University Irving Medical Center, New York, NY, USA
| | - Adam M Brickman
- Cognitive Neuroscience Division of the Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, NY, USA
- Gertrude. H. Sergievsky Center, Columbia University Irving Medical Center, New York, NY, USA
- Department of Neurology, Columbia University Irving Medical Center, New York, NY, USA
| | - Yaakov Stern
- Cognitive Neuroscience Division of the Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, NY, USA
- Gertrude. H. Sergievsky Center, Columbia University Irving Medical Center, New York, NY, USA
- Department of Neurology, Columbia University Irving Medical Center, New York, NY, USA
| | - Stephanie Cosentino
- Cognitive Neuroscience Division of the Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, NY, USA
- Gertrude. H. Sergievsky Center, Columbia University Irving Medical Center, New York, NY, USA
- Department of Neurology, Columbia University Irving Medical Center, New York, NY, USA
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Sunderaraman P, Gazes Y, Ortiz G, Langfield C, Mensing A, Chapman S, Joyce JL, Brickman AM, Stern Y, Cosentino S. Financial decision-making and self-awareness for financial decision-making is associated with white matter integrity in older adults. Hum Brain Mapp 2022; 43:1630-1639. [PMID: 34984770 PMCID: PMC8886641 DOI: 10.1002/hbm.25747] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2021] [Revised: 10/28/2021] [Accepted: 11/14/2021] [Indexed: 11/11/2022] Open
Abstract
Financial decision-making (FDM) and awareness of the integrity of one's FDM abilities (or financial awareness) are both critical for preventing financial mistakes. We examined the white matter correlates of these constructs and hypothesized that the tracts connecting the temporal-frontal regions would be most strongly correlated with both FDM and financial awareness. Overall, 49 healthy older adults were included in the FDM analysis and 44 in the financial awareness analyses. The Objective Financial Competency Assessment Inventory was used to measure FDM. Financial awareness was measured by integrating metacognitive ratings into this inventory and was calculated as the degree of overconfidence or underconfidence. Diffusion tensor imaging data were processed with Tracts Constrained by Underlying Anatomy distributed as part of the FreeSurfer analytic suite, which produced average measures of fractional anisotropy and mean diffusivity in 18 white matter tracts along with the overall tract average. As expected, FDM showed the strongest negative associations with average mean diffusivity measure of the superior longitudinal fasciculus -temporal (SLFT; r = -.360, p = .011) and -parietal (r = -.351, p = .014) tracts. After adjusting for FDM, only the association between financial awareness and average mean diffusivity measure of the right SLFT (r = .310, p = .046) was significant. Overlapping white matter tracts were involved in both FDM and financial awareness. More importantly, these preliminary findings reinforce emerging literature on a unique role of right hemisphere temporal connections in supporting financial awareness.
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Affiliation(s)
- Preeti Sunderaraman
- Cognitive Neuroscience Division of the Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, New York, USA.,Gertrude. H. Sergievsky Center, Columbia University Irving Medical Center, New York, New York, USA.,Department of Neurology, Columbia University Irving Medical Center, New York, New York, USA
| | - Yunglin Gazes
- Cognitive Neuroscience Division of the Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, New York, USA.,Gertrude. H. Sergievsky Center, Columbia University Irving Medical Center, New York, New York, USA.,Department of Neurology, Columbia University Irving Medical Center, New York, New York, USA
| | - Gema Ortiz
- Cognitive Neuroscience Division of the Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, New York, USA.,Gertrude. H. Sergievsky Center, Columbia University Irving Medical Center, New York, New York, USA
| | - Christopher Langfield
- Cognitive Neuroscience Division of the Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, New York, USA.,Gertrude. H. Sergievsky Center, Columbia University Irving Medical Center, New York, New York, USA
| | - Ashley Mensing
- Cognitive Neuroscience Division of the Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, New York, USA.,Gertrude. H. Sergievsky Center, Columbia University Irving Medical Center, New York, New York, USA
| | - Silvia Chapman
- Cognitive Neuroscience Division of the Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, New York, USA.,Gertrude. H. Sergievsky Center, Columbia University Irving Medical Center, New York, New York, USA
| | - Jillian L Joyce
- Cognitive Neuroscience Division of the Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, New York, USA.,Gertrude. H. Sergievsky Center, Columbia University Irving Medical Center, New York, New York, USA
| | - Adam M Brickman
- Cognitive Neuroscience Division of the Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, New York, USA.,Gertrude. H. Sergievsky Center, Columbia University Irving Medical Center, New York, New York, USA.,Department of Neurology, Columbia University Irving Medical Center, New York, New York, USA
| | - Yaakov Stern
- Cognitive Neuroscience Division of the Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, New York, USA.,Gertrude. H. Sergievsky Center, Columbia University Irving Medical Center, New York, New York, USA.,Department of Neurology, Columbia University Irving Medical Center, New York, New York, USA
| | - Stephanie Cosentino
- Cognitive Neuroscience Division of the Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, New York, USA.,Gertrude. H. Sergievsky Center, Columbia University Irving Medical Center, New York, New York, USA.,Department of Neurology, Columbia University Irving Medical Center, New York, New York, USA
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Kenepp A, Johnson E, Lee GJ, Sunderaraman P, Denburg NL, Nguyen CM. A Comprehensive Approach to Assessment of Testamentary Capacity. Front Psychol 2021; 12:789494. [PMID: 35002883 PMCID: PMC8733255 DOI: 10.3389/fpsyg.2021.789494] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2021] [Accepted: 12/01/2021] [Indexed: 11/26/2022] Open
Abstract
The growing aging population raises important implications for legal and clinical systems, including testamentary capacity (TC) assessment. Yet, there are limited comprehensive and standardized assessment measures for TC readily available for clinical use. A review of current assessment methods and standardized approaches for TC assessment is provided. Although several guidelines regarding TC assessment have been proposed in prior literature, existing standardized approaches do not appear to meet full criteria for TC. A comprehensive approach to assessment of testamentary capacity is proposed.
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Affiliation(s)
- Amanda Kenepp
- Department of Psychology, Queens College and The Graduate Center (CUNY), New York, NY, United States
- Department of Psychiatry and Behavioral Health, The Ohio State University College of Medicine, Columbus, OH, United States
| | - Ellen Johnson
- Department of Psychiatry and Behavioral Health, The Ohio State University College of Medicine, Columbus, OH, United States
- Department of Psychology, Ohio University, Athens, OH, United States
| | - Grace J. Lee
- Department of Psychiatry and Behavioral Health, The Ohio State University College of Medicine, Columbus, OH, United States
- Department of Psychology, Ohio University, Athens, OH, United States
| | - Preeti Sunderaraman
- Department of Neurology & The Framingham Heart Study - Brain Aging Program, Boston University School of Medicine, Boston, MA, United States
| | - Natalie L. Denburg
- Department of Neurology, University of Iowa Carver College of Medicine, Iowa, IA, United States
| | - Christopher M. Nguyen
- Department of Psychiatry and Behavioral Health, The Ohio State University College of Medicine, Columbus, OH, United States
- *Correspondence: Christopher M. Nguyen,
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Sunderaraman P, Chapman S, Barker MS, Cosentino S. Self-awareness for financial decision-making abilities in healthy adults. PLoS One 2020; 15:e0235558. [PMID: 32614887 PMCID: PMC7332073 DOI: 10.1371/journal.pone.0235558] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2020] [Accepted: 06/17/2020] [Indexed: 11/19/2022] Open
Abstract
Objective Decades of research have established how to measure metacognition (i.e., awareness of one’s cognitive abilities), whereas relatively little is known about how to assess the integrity of financial awareness (FA; awareness of one’s financial abilities), a related construct with practical implications for vulnerable older adults. The current study’s goal was to apply established metacognitive frameworks to identify an objective measure of FA. Methods Metacognitive ratings were integrated into two financial decision making (FDM) assessments in order to derive two types of FA metrics: absolute accuracy (calibration) and relative accuracy (resolution) in each FDM task. Associations between each FA metric, demographic variables, FDM performances, and metamemory were examined. Design & setting Cross-sectional, community-based, prospective study. Participants 93 individuals with mean age = 59 years (SD = 15.12); mean education = 15.70 (SD = 2.39); 60% females. Measures FA was calculated using the Financial Competency Assessment Inventory (FCAI) and Decision Making Competence Assessment Tool, Finance Module (DMC-F), and memory awareness was calculated using an objective metamemory test. Results None of the FA metrics was associated with age, education or gender. FCAI calibration was inversely associated with FDM, and positively correlated with DMC-F calibration and metamemory calibration. None of the FA metrics for DMC-F was associated with metamemory. Conclusions Mirroring findings from metamemory studies, overconfidence in FDM was associated with lower FDM accuracy in healthy adults. Moreover, calibration scores on the FCAI and metamemory were related, suggesting that FA taps into metacognitive abilities. Our findings provide preliminary evidence for how to measure FA in both clinical and research contexts.
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Affiliation(s)
- Preeti Sunderaraman
- Cognitive Neuroscience Division of the Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, Columbia University Medical Center, New York, NY, United States of America
- Gertrude. H. Sergievsky Center, Columbia University Medical Center, New York, NY, United States of America
- Department of Neurology, Columbia University Medical Center, New York, NY, United States of America
- * E-mail:
| | - Silvia Chapman
- Cognitive Neuroscience Division of the Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, Columbia University Medical Center, New York, NY, United States of America
- Gertrude. H. Sergievsky Center, Columbia University Medical Center, New York, NY, United States of America
- Department of Neurology, Columbia University Medical Center, New York, NY, United States of America
| | - Megan S. Barker
- Cognitive Neuroscience Division of the Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, Columbia University Medical Center, New York, NY, United States of America
- Gertrude. H. Sergievsky Center, Columbia University Medical Center, New York, NY, United States of America
- Department of Neurology, Columbia University Medical Center, New York, NY, United States of America
| | - Stephanie Cosentino
- Cognitive Neuroscience Division of the Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, Columbia University Medical Center, New York, NY, United States of America
- Gertrude. H. Sergievsky Center, Columbia University Medical Center, New York, NY, United States of America
- Department of Neurology, Columbia University Medical Center, New York, NY, United States of America
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Sunderaraman P, Ho S, Chapman S, Joyce JL, Colvin L, Omollo S, Pleshkevich M, Cosentino S. Technology Use in Everyday Financial Activities: Evidence from Online and Offline Survey Data. Arch Clin Neuropsychol 2020; 35:385-400. [PMID: 31696205 PMCID: PMC7244884 DOI: 10.1093/arclin/acz042] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2019] [Revised: 06/18/2019] [Accepted: 07/18/2019] [Indexed: 01/31/2023] Open
Abstract
OBJECTIVE Internet use and mobile devices permeate every aspect of our lives and are changing our financial habits. Assessment of financial decision-making (FDM) has not yet caught up to apparent changes in financial behavior. To modernize assessment methods and create current and comprehensive FDM frameworks, we first need to establish the most commonly used and most preferred methods of performing specific financial activities. METHOD Cross-sectional survey data were collected using an online platform and offline approaches (in person and by mail) (N = 234). The frequency of using technological (e.g., laptop) and non-technological (e.g., in-person banking) means of completing seven financial activities was assessed first, including Depositing checks, Reviewing bank statements, Keeping track of money spent, Transferring funds, Withdrawing cash, Paying bills, and Purchasing products online. Second, preference for technological versus non-technological methods was assessed. Finally, linear regression models examined associations between demographics and preference for technological methods for each financial activity. RESULTS The majority of respondents (77% online, 74% offline) used technology to perform various financial activities and preferred technological to non-technological methods for completing five out of the six financial activities. Increased preference for technological methods was associated with younger age for all the financial activities, and higher education was associated with reviewing bank statement and transferring funds. CONCLUSIONS Our survey findings provide empirical evidence for the changing nature of our financial habits. We discuss the implications of this change for researchers, clinicians, and the individuals themselves and emphasize the importance of modernizing FDM tools.
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Affiliation(s)
- Preeti Sunderaraman
- Cognitive Neuroscience Division, Taub Institute for Research on Alzheimer’s Disease and the Aging Brain Columbia University Medical Center, New York, NY, USA
- G.H. Sergievsky Center, Columbia University Medical Center, New York, NY, USA
- Department of Neurology, Columbia University Medical Center, New York, NY, USA
| | - Sarah Ho
- Cognitive Neuroscience Division, Taub Institute for Research on Alzheimer’s Disease and the Aging Brain Columbia University Medical Center, New York, NY, USA
| | - Silvia Chapman
- Cognitive Neuroscience Division, Taub Institute for Research on Alzheimer’s Disease and the Aging Brain Columbia University Medical Center, New York, NY, USA
- G.H. Sergievsky Center, Columbia University Medical Center, New York, NY, USA
| | - Jillian L Joyce
- Cognitive Neuroscience Division, Taub Institute for Research on Alzheimer’s Disease and the Aging Brain Columbia University Medical Center, New York, NY, USA
- G.H. Sergievsky Center, Columbia University Medical Center, New York, NY, USA
| | - Leigh Colvin
- Cognitive Neuroscience Division, Taub Institute for Research on Alzheimer’s Disease and the Aging Brain Columbia University Medical Center, New York, NY, USA
| | - Shalom Omollo
- Cognitive Neuroscience Division, Taub Institute for Research on Alzheimer’s Disease and the Aging Brain Columbia University Medical Center, New York, NY, USA
| | - Maria Pleshkevich
- Cognitive Neuroscience Division, Taub Institute for Research on Alzheimer’s Disease and the Aging Brain Columbia University Medical Center, New York, NY, USA
- G.H. Sergievsky Center, Columbia University Medical Center, New York, NY, USA
| | - Stephanie Cosentino
- Cognitive Neuroscience Division, Taub Institute for Research on Alzheimer’s Disease and the Aging Brain Columbia University Medical Center, New York, NY, USA
- G.H. Sergievsky Center, Columbia University Medical Center, New York, NY, USA
- Department of Neurology, Columbia University Medical Center, New York, NY, USA
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Sunderaraman P, Cosentino S, Lindgren K, James A, Schultheis MT. An examination of financial capacity and neuropsychological performance in chronic acquired brain injury (CABI). Brain Inj 2019; 33:991-1002. [PMID: 30712402 DOI: 10.1080/02699052.2019.1570340] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
PRIMARY OBJECTIVE Financial Capacity (FC) is known to be impaired in the acute and subacute stages of brain injury. The current study sought to examine FC in the context of chronic, moderate to severe acquired brain injury (CABI). RESEARCH DESIGN The Financial Competence Assessment Inventory (FCAI), developed in Australia, was adapted to examine the integrity of FC in an American sample. METHODS AND PROCEDURES Healthy comparison (HC) participants were recruited from the community, whereas participants with CABI were recruited from a community-based rehabilitation center. Participants completed the FCAI and a neuropsychological battery. FCAI performance in the current study was compared against previously published Australian data. Multiple regression analyses examined group (CABI vs. HC) as a predictor of FC. Bivariate correlations examined the cognitive correlates of FCAI in the CABI group. MAIN OUTCOMES AND RESULTS The HC group in the current study obtained similar mean scores as those in the Australian sample. CABI group membership predicted lower performance on each FCAI dimension. In the CABI group, attention, working memory, delayed verbal memory, abstract reasoning and impulsivity were uniquely associated with FCAI dimensions. CONCLUSIONS Findings underscore the importance of continued monitoring of FC even after the subacute stage of injury, and identify cognitive impairments that may be particularly detrimental for specific dimensions of FC.
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Affiliation(s)
- Preeti Sunderaraman
- a Cognitive Neuroscience Division of the Taub Institute for Research on Alzheimer's Disease and the Aging Brain, G.H. Sergievsky Center, and Department of Neurology , Columbia University Medical Center , New York , New York , USA
| | - Stephanie Cosentino
- a Cognitive Neuroscience Division of the Taub Institute for Research on Alzheimer's Disease and the Aging Brain, G.H. Sergievsky Center, and Department of Neurology , Columbia University Medical Center , New York , New York , USA
| | - Karen Lindgren
- b Bancroft Brain Injury Services , Cherry Hill, New Jersey , USA
| | - Angela James
- c Psychology Department , Drexel University , Philadelphia , Pennsylvania , USA
| | - Maria T Schultheis
- c Psychology Department , Drexel University , Philadelphia , Pennsylvania , USA
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