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Mental health conditions and unsafe driving behaviors: A naturalistic driving study on ADHD and depression
Journal article   Open access   Peer reviewed

Mental health conditions and unsafe driving behaviors: A naturalistic driving study on ADHD and depression

Ou Stella Liang and Christopher C. Yang
Journal of safety research, v 82, pp 233-240
Sep 2022
url
https://doi.org/10.1016/j.jsr.2022.05.014View
Accepted (AM)Open Access (Publisher-Specific) Open

Abstract

ADHD Depression Mental health Road safety Unsafe driving behaviors
•Association of ADHD and aggressive driving disappeared after accounting for covariates.•Drivers with ADHD were more likely to perform improper braking or stopping.•Depression was not significantly associated with any unsafe driving behavior. Introduction: Road injuries remain a persistent public health concern across the world. The task of driving is complicated by mental health conditions, which may affect drivers’ executive functioning and cognitive resource allocation. This study examines whether attention-deficit/hyperactivity disorder (ADHD) and depression are associated with unsafe driving behaviors. Method: Generalized linear mixed models were employed to estimate the association of self-reported ADHD and depression with 18 unsafe driving behavior types found prior to at-fault crashes and near-crashes using a large-scale naturalistic driving dataset. Driver demographics, cognitive traits, environmental factors, and driver random effects were included to reduce confounding and biases. Results: Controlling for other covariates, people with self-reported ADHD were more likely to have performed improper braking or stopping (OR = 4.89, 95% CI 1.82–13.17) prior to an at-fault crash or near-crash, while those with self-reported depression did not have a significant association with any unsafe driving behavior. Conclusions: After accounting for demographic, cognitive, and environmental covariates, individuals with ADHD and depression were not prone to purposefully aggressive or reckless driving. Instead, drivers with self-reported ADHD may unintentionally execute unsafe driving behaviors in particular driving scenarios that require a high level of cognitive judgment. Practical Applications: These findings can inform the curriculum design of driver’s education programs that help learners with mental health conditions gain practice in certain road scenarios, for example, more practice on preemptively reducing speed instead of making sudden brakes and smooth turning on curved roads for students with ADHD. Furthermore, specific advanced driver assistance systems may prove particularly helpful for drivers with ADHD, such as detection of leading objects and curve speed warning.

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Web of Science research areas
Ergonomics
Public, Environmental & Occupational Health
Social Sciences, Interdisciplinary
Transportation
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