Depression and tau pathology linked to faster rise in risky driving among older adults
Driving is a complex skill that involves a wide range of mental processes and abilities. Drivers need to pay close attention to what is happening around them, remember the meaning of road signs, respond quickly to unexpected situations and make decisions that often involve the safety of others.
Researchers at Washington University School of Medicine and Adelphi University have discovered a link between depression and tau pathology, suggesting that the combination of these conditions can lead to a faster decline in driving abilities among older adults. Driving requires numerous cognitive abilities, including attention, memory, and quick decision-making, all of which can be negatively impacted by mood disorders and neurodegenerative conditions.
The study, published in Molecular Psychiatry, focused on older adults aged 65 and above and examined the impact of mood disorders, such as major depressive disorder (MDD), and biological markers of Alzheimer's disease (AD) on driving behavior. The researchers recruited 269 participants, 61 of whom were diagnosed with MDD. They monitored the participants' driving habits using specialized devices that recorded vehicle movements and GPS data over an average period of 54 months.
The study found that older adults with both MDD and tau pathology exhibited a faster increase in risky driving behaviors, such as hard braking and cornering, compared to those without these conditions. Additionally, their driving patterns remained more unpredictable over time. Participants with MDD alone did not show significantly more risky driving behaviors than healthy individuals. However, those with Alzheimer's biomarkers but without MDD sometimes displayed more cautious driving patterns.
These findings highlight the need for early monitoring of older drivers with mood disorders and neurodegenerative conditions, as subtle changes in their driving abilities could indicate functional vulnerability. Future research could lead to the development of tools for identifying these changes and potentially complement clinical evaluations in identifying individuals who may require additional support or monitoring.
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