The DOI matches its Crossref record; 44 of the 44 references it cites were found in a registry or an index.
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.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The cited source says what the claim attributes to it.
In the citing paper
“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
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Folstein, M. F., Folstein, S. E., & McHugh, P. R. (1975) · Journal of Psychiatric Research · doi:10.1016/0022-3956(75)90026-6 · Cited by 88,282
McKhann, G., Drachman, D., Folstein, M., Katzman, R., Price, D., & Stadlan, E. M. (1984) · Neurology · doi:10.1212/wnl.34.7.939 · Cited by 27,915
Hirono, N., Mori, E., Ikejiri, Y., Imamura, T., Shimomura, T., Hashimoto, M., Yamashita, H., & Ikeda, M. (1997) · PubMed · Cited by 21,012
Kok, J. S., Berg, I. J., & Scherder, E. J. A. (2013) · Dementia and Geriatric Cognitive Disorders Extra · doi:10.1159/000353441 · Cited by 20,589
Older Adults' Reasons for Using Technology while Aging in Place
Peek, S. T. M., Luijkx, K. G., Rijnaard, M. D., Nieboer, M. E., van der Voort, C. S., Aarts, S., van Hoof, J., Vrijhoef, H. J., & Wouters, E. (2015) · Gerontology · doi:10.1159/000430949 · Cited by 19,852
Sensitivity and False Alarm Rate of a Fall Sensor in Long-Term Fall Detection in the Elderly
Kangas, M., Korpelainen, R., Vikman, I., Nyberg, L., & Jämsä, T. J. (2014) · Gerontology · doi:10.1159/000362720 · Cited by 19,007
Overdependence on degraded gist memory in Alzheimer's disease.
Gallo, D. A., Shahid, K. R., Olson, M. A., Solomon, T. M., Schacter, D. L., & Budson, A. E. (2006) · Neuropsychology · doi:10.1037/0894-4105.20.6.625 · Cited by 4,757
Kaplan, E., Goodglass, H., Weıntraub, S., & Segal, O. (2001) · Medical Entomology and Zoology · Cited by 4,378
Moms, J. C., Heyman, A., Mohs, R. C., Hughes, J. P., van Belle, G., Fillenbaum, G., Mellits, E. D., & Clark, C. (1989) · Neurology · doi:10.1212/wnl.39.9.1159 · Cited by 4,130
Gauthier, S. G., Reisberg, ., Zaudig, M., Petersen, R. C., Ritchie, K. A., Broich, K., Belleville, S., Brodaty, H., Bennett, D. A., Chertkow, H. M., et al. (2006) · The Lancet · doi:10.1016/s0140-6736(06)68542-5 · Cited by 4,094
Self-citation
Flagged first, then by citations
Research works printed but not linked: 6
- Templeton, 2007, Fraud, vulnerability, and aging, Alzheimers Care Today, 8, 265
- Wechsler, 1987, Wechsler Memory Scale – Revised manual
- Ekstrom, 1976, Manual for kit of factor-referenced cognitive tests
- Raven, 1992, Manual for Raven’s progressive matrices and vocabulary: Standard Progressive Matrices
- Nelson, 1982, The National Adult Reading Test (NART): Test manual
- Trenerry, 1989, The Stroop Neorupsychological Screening Test
Cited by
Sorted by citations
Items 101–118 of 118
The Independent Effect of Depression on Financial Decision-Making in Older Adults
Manning, K. J., Mackin, R. S., WU, R. T., Nowrangi, M. A., Steffens, D. C., & Boyle, P. A. (2025) · American Journal of Geriatric Psychiatry · doi:10.1016/j.jagp.2025.11.002
Self-citationCouch, E., Co, M., Albertyn, C. P., Prina, M., & Lawrence, V. (2024) · Figshare · doi:10.6084/m9.figshare.25687550
Chew, K. A., Ponsford, J. L., & Gould, K. R. (2026) · Disability and Rehabilitation · doi:10.1080/09638288.2025.2605158
Leguizamon, M., Axelrod, J., Zhang, B. Y., Noriega-Makarskyy, D. T., Molinare, C. P., Oyen, E., Williams, J. T., Mosqueda, L., Lai, M., & Han, S. D. (2026) · Aging & Mental Health · doi:10.1080/13607863.2026.2620032
Self-citationLeguizamon, M., Lichtenberg, P. A., Mosqueda, L., Oyen, E., Zhang, B. Y., Noriega-Makarskyy, D. T., Molinare, C. P., Williams, J. T., Axelrod, J., & Han, S. D. (2026) · medRxiv · doi:10.64898/2026.02.16.26346441
Self-citationThe Aftermath of Technology-Mediated Scams: Strengthening Older Adults’ Efforts toward Redress
Ankenbauer, S. A., & Brewer, R. N. (2026) · ACM Transactions on Computer-Human Interaction · doi:10.1145/3805036
Houtven, C. H. V., Ford, C. B., Couch, E., Shepherd‐Banigan, M. E., Zhang, W., Bélanger, E., Plassman, B. L., Burke, J. R., Sorenson, C., DePasquale, N., et al. (2026) · Alzheimer s Research & Therapy · doi:10.1186/s13195-026-02010-x
Chen, Y., He, H., Ding, Y., Tao, W., Guan, Q., & Krüeger, F. (2026) · NeuroImage · doi:10.1016/j.neuroimage.2026.121956
Sepehry, A. A., Schultz, I. Z., Cohen, D. A., Greer, S. C., & Stewart, A. (2026) · Psychological Injury and Law · doi:10.1007/s12207-026-09563-0
Carminati, J.-Y. J., Ponsford, J. L., & Gould, K. R. (2026) · Journal of Head Trauma Rehabilitation · doi:10.1097/htr.0000000000001166
Girling, L., & Nemec, M. (2026) · Sage Open Aging · doi:10.1177/30495334261459193
Lin, P., Hung, C., Chang, Y.-P., Chen, Y., & Yen, C. (2026) · Behavioral Psychology/Psicología Conductual · doi:10.31083/bp47990
Time trends in susceptibility to scams in community-dwelling older adults
Yu, L., Du, L., Wang, T., Mottola, G. R., Stewart, C. C., Lichtenberg, P. A., grodstein, F., Bennett, D. A., & Boyle, P. A. (2026) · American Journal of Epidemiology · doi:10.1093/aje/kwag168
Self-citationResponding to Alzheimer’s Disease Emergencies: Crisis Intervention Training for Law Enforcement
Crocker, J. L., Friedland, H., & Stripling, A. M. (2026) · Springer eBooks · doi:10.1007/978-3-032-27978-1_8
Yeh, Y., Lin, P., Chung-Ying, L., Chang, Y.-P., Wang, P., & Cheng-Fang, Y. (2026) · Brain and Behavior · doi:10.1002/brb3.71780
The role of social white matter tracts in susceptibility to phishing in aging
Hung, C.-C., Lin, T., Lung, T., Faulkner, R., Kennedy, K. M., & Ebner, N. C. (2026) · GeroScience · doi:10.1007/s11357-026-02574-4
Molinare, C. P., Zhang, B. Y., Sanderson‐Cimino, M. E., Leguizamon, M., Oyen, E., Noriega-Makarskyy, D. T., Axelrod, J., Lim, A. C., Wu, C., Agarwal, M., et al. (2026) · medRxiv · doi:10.64898/2026.10.04.26364617
Self-citationKhalilian, K. (2026) · Electronic workshops in computing · doi:10.14236/ewic/britchi26.24
Metadata
- 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
- Health Sciences › Medicine › Geriatrics and Gerontology › Elder Abuse and Neglect
- Social Sciences › Psychology › Developmental and Educational 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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
