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Innov Aging
Innov Aging
innovateage
Innovation in Aging
2399-5300 Oxford University Press US 

10.1093/geroni/igaa057.3304
igaa057.3304
Abstracts
Session 10190 (Late Breaking Poster)
Cognitive Impairment
AcademicSubjects/SOC02600
Early Indicators of Cognitive Decline in Online Financially Active Older Adults
Mattek Kimberly Grzesek Nora  Sharma Nicole  Wild Katherine  
Oregon Health & Science University, Portland, Oregon, United States
2020 
16 12 2020 
16 12 2020 
4 Suppl 1 Program Abstracts from The GSA 2020 Annual Scientific Meeting “Turning 75: Why Age Matters”896 897
© The Author(s) 2020. Published by Oxford University Press on behalf of The Gerontological Society of America.2020This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.Abstract
As access to computers and use of technology becomes more common in older adults, the incidence of online financial fraud increases. Law enforcement officials and fraud experts predict this trend to continue as aging baby boomers increasingly become targets. One reason this population might be at risk for financial fraud is due to subtle, undetected decline in cognitive abilities that have been associated with decline in financial capacity. Many cases of incipient cognitive decline go undetected. Further, those with early cognitive decline often have poor insight to its potential impact on daily functioning. Assessment of Activities of Daily Living Skills (ADLs) is paramount to determine early decline in daily activities. The ORCATECH Life Lab was designed to evaluate subtle neurological and other health changes and their relation to changes in daily functioning. Older adults participating in the Life Lab complete annual ADL and neurocognitive assessments. Additionally, 97 participants completed an online technology questionnaire where 64 participants reported participating in online financial activity. Results revealed that within the online financially active group, some assistance in ADL’s was required. However, inconsistencies in ADL change over time highlight the challenges of screening for early signs of mild cognitive impairment (MCI) in patients that fall between normal cognition and MCI. In-home information technology may help overcome these challenges. Defining subtle changes in ADLs is a crucial step to enable early diagnosis of neurocognitive disorders and assist health care providers in improving disease management and to prevent incidents of financial fraud in this vulnerable population.