Get started
Work

Longitudinal associations between plasma biomarkers and changes in naturalistic driving behaviors in older adults

Year: 2025
Type: article
Study design: Observational Study
Abstract: Background The aging United States population is expected to significantly increase by 2050, along with Alzheimer's disease (AD), a leading cause of cognitive impairment among older adults. AD is associated with declines in driving abilities and compromised safety, yet early detection remains challenging. Plasma biomarkers like ptau 217 and Aβ 42/40 are potential tools for detecting preclinical AD, offering a less invasive and scalable alternative to traditional methods. Objective This study explored the relationship between plasma biomarkers (ptau 217 and Aβ 42/40 ) and longitudinal changes in naturalistic driving behaviors in older adults. Methods Participants were enrolled in longitudinal studies occurring in The DRIVES Project, which included older adults aged 65 and above who were cognitively normal at baseline. Longitudinal driving behaviors were captured daily using GPS-based data loggers, while plasma biomarkers were used to examine preclinical AD. Linear mixed-effects models assessed the relationship between preclinical AD and driving behaviors over a four-year period. Results Participants with preclinical AD based on ptau 217 exhibited a decline in driving behaviors, including fewer long trips and visits to unique destinations, while driving more frequently per month. Preclinical AD based on Aβ 42/40 showed increased shorter trips and reduced entropy. Both plasma analytes were associated with longitudinal changes in driving behaviors, but no significant differences in adverse events were observed. Conclusions Plasma analytes ptau 217 and Aβ 42/40 , are associated with subtle changes in driving behaviors, offering a non-invasive tool for early detection of preclinical AD. Driving behaviors analysis could be integrated into clinical practice for earlier intervention and better management of AD progression.
DOI: 10.1177/13872877251365636
Authors: Chen Chen, Ganesh M Babulal
Language: English
Open Access status: green
OpenAlex ID: W4413051850
FWCI:
Cites: 38
Cited by:
Related to: 10