Abstract
Introduction
Alzheimer disease (AD) has a long preclinical phase in which AD pathology is accumulating without detectable clinical symptoms. It is critical to identify participants in this preclinical phase as early as possible since treatment plans may be more effective in this stage. Monitoring for changes in driving behavior, as measured with GPS sensors, has been explored as a low-burden, easy-to-administer method for detecting AD risk. However, driving is a complex, multifaceted process that is likely influenced by other factors, including personality traits, that may change in preclinical AD.Methods
We examine the moderating influence of neuroticism and conscientiousness on longitudinal changes in driving behavior in a sample of 203 clinically normal older adults who are at varying risk of developing AD.Results
Neuroticism moderated rates of change in the frequency of speeding as well as the number of trips taken at night. Conscientiousness moderated rates of change in typical driving space.Conclusions
Personality traits change in early AD and also influence driving behaviors. Studies that seek to utilize naturalistic driving behavior to establish AD risk need to accommodate interpersonal differences, of which personality traits are one of many possible factors. Future studies should explicitly establish how much benefit is provided by including personality traits in predictive models of AD progression.References
Articles referenced by this article (34)
The Relation Between Personality and Biomarkers in Sensitivity and Conversion to Alzheimer-Type Dementia.
J Int Neuropsychol Soc, (6):596-606 2019
MED: 31822309
Exploring the Causal Impact of Age and Nighttime Driving on Road Traffic Injuries among Elderly Drivers: A Bayesian LASSO Approach.
Bull Emerg Trauma, (3):125-131 2023
MED: 37525652
Creating a driving profile for older adults using GPS devices and naturalistic driving methodology.
F1000Res, 2376 2016
MED: 27990264
Older drivers' reasons for reducing the overall amount of their driving and for avoiding selected driving situations.
J Appl Gerontol, (3):NP62-82 2012
MED: 25765824
On the road to retirement: Predicting nighttime driving difficulty and cessation using self-reported health factors.
J Transp Health, 101724 2023
MED: 38855420
Personality Change in the Preclinical Phase of Alzheimer Disease.
JAMA Psychiatry, (12):1259-1265 2017
MED: 28975188
Relationships between big-five personality factors and Alzheimer's disease pathology in autosomal dominant Alzheimer's disease.
Alzheimers Dement (Amst), (1):e12038 2020
MED: 32587883
A 2.5-Year Longitudinal Assessment of Naturalistic Driving in Preclinical Alzheimer's Disease.
J Alzheimers Dis, (4):1625-1633 2019
MED: 30958365
Personality and Incident Alzheimer's Disease: Theory, Evidence, and Future Directions.
J Gerontol B Psychol Sci Soc Sci, (3):513-521 2020
MED: 29846724
Show 10 more references (10 of 34)
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Funding
Funders who supported this work.
NIA NIH HHS (6)
Grant ID: P30 AG066444
Grant ID: R01 AG067428
Grant ID: P01 AG026276
Grant ID: R01 AG068183
Grant ID: R01 AG056466
Grant ID: P01 AG003991