Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2020 Nov;34(8):894-905.
doi: 10.1037/neu0000707.

The role of top-down attentional control and attention-deficit/hyperactivity disorder symptoms in predicting future motor vehicle crash risk

Affiliations

The role of top-down attentional control and attention-deficit/hyperactivity disorder symptoms in predicting future motor vehicle crash risk

Paula A Aduen et al. Neuropsychology. 2020 Nov.

Abstract

Objective: Attention-deficit/hyperactivity disorder (ADHD) confers elevated risk for automobile crashes, both as a clinical syndrome and continuously when examining risk as a function of symptom severity. However, the neurocognitive mechanisms and processes underlying this risk remain poorly understood. The current longitudinal study examined whether attention network components reflect neurocognitive pathways linking ADHD symptoms with adverse driving outcomes. Method: Drivers from six U.S. sites participating in the Strategic Highway Research Program Naturalistic Driving Study (N=3,226) were prospectively monitored for objectively identified crashes, near-crashes, and crash/near-crash fault. At study entry, drivers were assessed for ADHD symptoms; completed the Conners' Continuous Performance Test, Second Edition; and were then followed continuously for 1-2 years of routine, on-road driving using technology-enhanced in-car monitoring. Bias-corrected, bootstrapped mediation models examined the extent to which attention network components mediated the association between ADHD symptoms and future driving risk, controlling for known risk factors. Results: As expected, self-reported ADHD symptoms predicted all markers of future driving risk. Higher ADHD symptoms were associated with reduced inhibitory control, lower levels of top-down attentional control (endogenous orienting), and greater arousal decrements (phasic alertness). Controlling for ADHD symptoms, top-down attentional control uniquely predicted future crashes, near-crashes, and culpability for future crashes/near-crashes; only arousal decrements portended future near-crashes. Only top-down attentional control significantly mediated the association between baseline ADHD symptoms and future driving risk. Conclusions: The driving risks associated with ADHD appear to be conveyed in part by impairments in the top-down, voluntary control of attention, rather than by difficulties sustaining attention over time or inhibiting impulses, as is often assumed. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

PubMed Disclaimer

Conflict of interest statement

Conflict of Interest:

The authors have no conflicts of interest to report.

Figures

Figure 1.
Figure 1.
ADHD Symptoms (BAQS Score) predictor and neurocognitive mediators of crashes, near-crashes, and at-fault crashes/near-crashes. Four neurocognitive mediators, (1) Disinhibition, (2) Endogenous Orienting Deficits, (3) Arousal Decrements, (4) Vigilance Decrements, were uncorrelated by design and tested simultaneously. All models controlled for age, sex, education, marital status, time in study, and miles driven. Significant pathways (*) shown in black font; non-significant (ns) pathways shown in grey font. Results are reported as β (SE). ER = Effect Ratio (shown only for significant indirect effects).

References

    1. Aduen PA, Kofler MJ, Cox DJ, Sarver DE, & Lunsford E (2015). Motor vehicle driving in high incidence psychiatric disability: comparison of drivers with ADHD, depression, and no known psychopathology. Journal of Psychiatric Research, 64, 59–66. - PubMed
    1. Aduen PA, Kofler MJ, Sarver DE, Wells EL, Soto EF, & Cox DJ (2018). ADHD, depression, and motor vehicle crashes: A prospective cohort study of continuously-monitored, real-world driving. Journal of Psychiatric Research, 101, 42–49. - PMC - PubMed
    1. Alderson RM, Rapport MD, & Kofler MJ (2007). Attention-deficit/hyperactivity disorder and behavioral inhibition: a meta-analytic review of the stop-signal paradigm. Journal of Abnormal Child Psychology, 35(5), 745–758. - PubMed
    1. Aman CJ, Roberts RJ Jr, & Pennington BF (1998). A neuropsychological examination of the underlying deficit in attention deficit hyperactivity disorder: frontal lobe versus right parietal lobe theories. Developmental Psychology, 34(5), 956. - PubMed
    1. Antin J, Lee S, Hankey J, et al., 2011. Design of the in-vehicle driving behavior and crash risk study. Transportation Research Board Accessible at. https://www.nap.edu/download/14494.

MeSH terms