# The Influence of Personality Traits on Driving Behaviors in Preclinical Alzheimer Disease

## TL;DR

This study explores how personality traits like neuroticism and conscientiousness influence driving behaviors in older adults at risk for Alzheimer's disease before symptoms appear.

## Contribution

The study introduces the moderating role of personality traits in longitudinal changes of driving behavior during preclinical Alzheimer's.

## Key findings

- Neuroticism affects changes in speeding frequency and nighttime trips.
- Conscientiousness influences changes in typical driving space.
- Personality traits should be considered in models predicting AD progression.

## Abstract

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, multi-faceted process that is likely influenced by other factors that may change in preclinical AD, including personality traits. In this study, 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. Our results indicate that 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. We interpret these findings within established changes in personality traits in preclinical AD and suggest that studies of longitudinal changes in naturalistic driving behavior need to accommodate interpersonal differences, including personality. Strengths and limitations of this study are also noted. Future studies should explicitly establish how much benefit or risk is provided by including personality traits in predictive models of AD progression.