As the population ages, early detection of cognitive decline is becoming increasingly crucial-and a new study reveals a surprising place to look for clues: behind the wheel. Researchers have discovered that subtle shifts in driving patterns, such as frequency of trips and route choices, can serve as an early warning sign of conditions like Alzheimer’s disease, possibly years before a formal diagnosis. The findings, published in Neurology, highlight the potential of everyday activities to offer a non-invasive window into brain health.
Subtle changes in driving habits, such as how often someone drives and the routes they choose, may be early indicators of cognitive decline, a new study suggests.
Researchers have found that daily driving patterns, when considered alongside standard clinical assessments, could help identify individuals at risk of cognitive impairment even before a serious accident occurs. This is particularly important as the population ages and the prevalence of conditions like Alzheimer’s disease increases.
A new study published in Neurology followed 298 adults with an average age of 75, including 56 participants already diagnosed with mild cognitive impairment (MCI), a common precursor to Alzheimer’s disease. Participants’ vehicles were equipped with GPS tracking devices, and their driving behavior was monitored for up to 40 months. This detailed data was then analyzed in conjunction with established cognitive tests assessing memory, attention, and executive function, as well as demographic information like age, education level, and genetic risk factors for Alzheimer’s, reports Science Alert.
The analysis revealed distinct differences between the two groups. Individuals with MCI tended to drive less frequently, visited fewer destinations, opted for simpler and more familiar routes, and were less likely to exceed speed limits. Even after accounting for other contributing factors, these patterns consistently indicated cognitive changes over time. Driving data alone identified individuals with MCI with 82% accuracy. When combined with clinical and demographic information, that accuracy rose to 87%.
“Early identification of older drivers at risk of crashes is a public health priority, but identifying individuals who are unsafe to drive can be challenging and time-consuming,” said Ganesh Babulal, the study’s author. He added that GPS-based monitoring proved more informative than traditional risk markers, such as age or isolated memory test results.
While some changes in driving may reflect normal self-regulation that accompanies aging, researchers suggest that consistent alterations in driving habits could serve as a subtle and non-invasive window into cognitive health. Driving requires a high degree of coordination and mental processing, so even small behavioral adjustments may signal a decline in function before more obvious symptoms appear. The findings highlight the potential for using everyday activities to monitor cognitive health.
