Cognitive functioning predicts vulnerability to financial exploitation in APOE e4 carriers.
Gali H Weissberger1, Hussein N Yassine2, Jenna Axelrod3
1Department of Social and Health Sciences, Bar-Ilan University, Ramat Gan 5290002, Israel.
International Psychogeriatrics
|November 8, 2025
Summary
Financial exploitation vulnerability (FEV) may indicate early Alzheimer's disease (AD) risk. Worse cognition predicts higher FEV in individuals with the APOE e4 gene, suggesting FEV as an early AD marker.
Area of Science:
- Neuroscience
- Gerontology
- Psychology
Background:
- Financial exploitation vulnerability (FEV) is increasingly recognized as a potential early indicator of Alzheimer's disease (AD).
- The genetic factor APOE e4 and cognitive status are known risk factors for AD.
- Understanding the interplay between these factors and FEV is crucial for early detection.
Purpose of the Study:
- To investigate the interaction between APOE e4 genotype and baseline cognitive function in predicting FEV one year later.
- To determine if FEV can serve as an early marker for AD-related neuropathological changes.
Main Methods:
- Recruited 95 non-demented adults (≥50 years) for two annual assessments.
- Collected saliva for APOE genotyping and conducted comprehensive neuropsychological testing.
- Used linear regression to analyze the relationship between APOE status, cognition, and FEV, controlling for covariates.
Main Results:
- No main effects of APOE or cognition on FEV were found.
- A significant interaction emerged: poorer cognitive function predicted higher FEV specifically in APOE e4 carriers.
- Cognitive domain analyses indicated nuanced relationships, with cognition being a risk factor for FEV in e4 carriers.
Conclusions:
- Cognitive function is a relevant risk factor for FEV in individuals carrying the APOE e4 gene.
- These findings support the hypothesis that FEV may be an early sign of AD-related neuropathological processes.
- FEV assessment, particularly in conjunction with genetic risk factors like APOE e4, may aid in early AD detection.
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