Mild Cognitive Impairment and Susceptibility to Scams in Old Age
Open accessAbstract
Background: Falling victim to financial scams can have a significant impact upon social and financial wellbeing and independence. A large proportion of scam victims are older adults, but whether older victims with mild cognitive impairment (MCI) are at higher risk remains unknown. Objective: We tested the hypothesis that older persons with MCI exhibit greater susceptibility to scams compared to those without cognitive impairment. Methods: Seven hundred and thirty older adults without dementia were recruited from the Rush Memory and Aging Project, a community-based epidemiologic study of aging. Participants completed a five-item self-report measure of susceptibility to scams, a battery of cognitive measures, and clinical diagnostic evaluations. Results: In models adjusted for age, education, and gender, the presence of MCI was associated with greater susceptibility to scams (B = 0.125, SE = 0.063, p-value = 0.047). Further, in analyses of the role of specific cognitive systems in susceptibility to scams among persons with MCI (n = 144), the level of performance in two systems, episodic memory and perceptual speed abilities, were associated with susceptibility. Conclusions: Adults with MCI may be more susceptible to scams in old age than older persons with normal cognition. Lower abilities in specific cognitive systems, particularly perceptual speed and episodic memory, may contribute to greater susceptibility to scams in those with MCI.
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Studies suggest that older adults may be more susceptible to scams due to age-related declines in cognitive functioning.
“Studies that examine age-related declines in cognitive functioning suggest that older adults may be more susceptible to scams (Han et al. 2016a(Han et al. , 2016b), yet these and other prior studies do not control for different rates of fraud exposure by age.”
From Profiling consumers who reported mass marketing scams: demographic characteristics and emotional sentiments associated with victimization (2024) · cites this paper as Han et al. 2016b
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“Studies that examine age-related declines in cognitive functioning suggest that older adults may be more susceptible to scams (Han et al. 2016a, 2016b), yet these and other prior studies do not control for different rates of fraud exposure by age.”
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- Authors
- Han, S. D., Boyle, P. A., James, B. D., Yu, L., & Bennett, D. A.
- Affiliations
- Rush University Medical Center (US)
- Corresponding author
- Han, S. Duke
- Venue
- Journal of Alzheimer's Disease
- Publisher
- SAGE Publications
- Published
- 2015-12-14
- Volume
- 49
- Issue
- 3
- Pages
- 845-851
- ISSN
- 1387-2877 (ISSN-L)
- 1875-8908
- PMC
- PMC4708889
- OpenAlex
- W1848470591
- Cited by
- 117
- References
- 44
- Citations by year
- 2026: 14 · 2025: 21 · 2024: 29 · 2023: 9 · 2022: 14 · 2021: 7 · 2020: 4 · 2019: 10 · 2018: 5 · 2017: 3 · 2016: 1
- FWCI
- 2.43
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Journal of Alzheimer s Disease (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute on Aging (R01AG017917, K23AG040625, R01AG033678, R01AG034374)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Social Sciences › Demography › Elder Abuse and Neglect
- Social Sciences › Psychology › Neuropsychology and Physiological Psychology › Aging and Gerontology Research
- Keywords
- mild cognitive impairment, financial scams
- MeSH terms
- Aged, Aged, 80 and over, Aging, Disease Susceptibility, Female, Humans, Male, Middle Aged, Neuropsychological Tests, Psychiatric Status Rating Scales, Residence Characteristics, Crime Victims, Self Report, Cognitive Dysfunction, Memory, Episodic
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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