Behavior differences in drivers with attention deficit hyperactivity disorder: The driving behavior questionnaire

Reimer, Bryan; D’Ambrosio, Lisa; Gilbert, Jennifer; Coughlin, Joseph F.; Biederman, Joseph; Surman, Craig; Fried, Roland; Aleardi, Megan

doi:10.1016/j.aap.2005.05.002

Cited by 84 publications

(52 citation statements)

References 46 publications

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“…The potentially hazardous road crossing decisions, the underutilization of the available gap and the lower margins of safety by our participants with ADHD are consistent with the associated impairments commonly found in ADHD, including attention, time perception and behavioral inhibition deficits (Barkley, Koplowitz, Anderson & McMurray, 1997;Nigg et al, 2002). These results also present as extensions of the findings that associate ADHD with driving related deficits (e.g., Barkley, 2004;Barkley et al, 1996;Cox, Merkel, Kovatchev, & Seward, 2000;Nada-Raja et al, 1997) and self-reports of more lapses and dangerous errors while driving, and driving violations (Reimer et al, 2005). …”

Section: Road Crossing and Adhd 21supporting

confidence: 77%

“…In order to further add to our understanding of ADHD and the association with risk in traffic environments, self-report measures and traffic data from government databases could be obtained. Self-report measures could include evaluations of attitudes towards road safety, knowledge of appropriate traffic behavior and estimates of outcomes of various traffic scenarios in addition to information on self awareness of lapses and errors to verify whether participants are aware of the errors they are making (Reimer et al, 2005). To determine the extent to which the findings of this study generalize to actual traffic situations and other situations (i.e., driving a vehicle), future studies could compare these Road Crossing and ADHD 25 results with injury statistics from hospital records.…”

Section: Future Investigations Of Adhdmentioning

confidence: 99%

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Road-Crossing Safety in Virtual Reality: A Comparison of Adolescents With and Without ADHD

Clancy¹,

Rucklidge²,

Owen³

2006

Journal of Clinical Child & Adolescent Psychology

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This study investigated the potential accident-proneness of adolescents with AttentionDeficit/Hyperactivity Disorder (ADHD) in a hazardous road-crossing environment. An immersive virtual reality traffic gap-choice task was used to determine whether ADHD adolescents show more unsafe road crossing behavior than controls. Participants (aged 13-17) were identified with (n = 24) or without (n = 24) ADHD according to a standardized protocol (K-SADS-PL and Conners Scales), with equal number of males (n = 12) and females (n = 12) in each group. ADHD adolescents did not take stimulant medication on the day of testing. ADHD participants had a lower margin of safety, walked slower, underutilized the available gap in incoming traffic, showed greater variability in road-crossing behavior and evidenced twice as many collisions as compared to controls. No sex differences were found. Virtual reality may help identify and educate those at higher risk of being involved in dangerous traffic situations.

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Section: Road Crossing and Adhd 21supporting

confidence: 77%

Section: Future Investigations Of Adhdmentioning

confidence: 99%

Road-Crossing Safety in Virtual Reality: A Comparison of Adolescents With and Without ADHD

Clancy¹,

Rucklidge²,

Owen³

2006

Journal of Clinical Child & Adolescent Psychology

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“…Attention regulation and impulsivity are two of the key symptom sets associated with ADHD (APA, DSM-IV-TR, 2000), and these entered as significant predictors of driver behaviour. It has been reported that adults with ADHD display significantly more driving errors, lapses, and violations on the DBQ than controls (Reimer et al, 2005). Other studies have demonstrated that adults with ADHD displayed lower scores on a test of driving rules (Barkley et al, 2002), were more likely to be at fault for crashes (Barkley et al, 1993), displayed more erratic steering during a computer-simulated driving test , committed more speeding violations , and demonstrated more driving anger and expression of aggression (Richards et al, 2002(Richards et al, , 2006 relative to nonclinical controls.…”

Section: Discussionmentioning

confidence: 99%

“…(Lawton et al, 1997a;Parker et al, 1995;Reason et al, 1990) measured three types of driving behaviours: errors (i.e., failure to successfully carry out an intended action leading to potentially dangerous manoeuvres), lapses (i.e., attention or memory failures which sometimes impact driver safety), and violations (i.e., deliberate defiance of safe driving practices). The current study used a version of the DBQ adapted for North American drivers (see Reimer et al, 2005). The measure included 24 items rated on a 6-point scale ranging from '0 = never' to '5 = nearly all the time'.…”

Section: Participantsmentioning

confidence: 99%

Cognitive failures as predictors of driving errors, lapses, and violations

Wickens

Toplak

Wiesenthal

2008

Accident Analysis & Prevention

121

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Always cite the published version, so the author(s) will receive recognition through services that track citation counts, e.g. Scopus. If you need to cite the page number of the TSpace version (original manuscript or accepted manuscript) because you cannot access the published version, then cite the TSpace version in addition to the published version using the permanent URI (handle) found on the record page. AbstractDual-process models from the cognitive literature have proposed a taxonomy of cognitive failures in everyday activities, and this novel approach was applied to understanding driver behaviour. This framework was used to examine whether categories of cognitive failure would explain driving errors, driving lapses, and driving violations in a sample of undergraduates at a large urban university. Two types of cognitive failure were examined, one associated with missing affective information and the other associated with a failure to engage effortful processes to override an automatic response. Alexithymia was used as an indicator of missing affective information, and attention regulation, reactivity, and impulsivity were used as indicators of override failure. Relevant demographic variables included gender and hours typically driven. Override failures were significantly associated with driving behaviour in the correlational analyses. In the regression analyses, attention regulation predicted driving errors, and gender, attention regulation, and impulsivity predicted driving violations. The implications of this work include the potential application to driver training, to users of informatic devices (e.g., GPS, cellular phones, messaging systems), and for individuals diagnosed with attention and/or impulsivity problems.

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“…The present study focuses on the latter stream by exploring the relationships between self-reported driving history and self-reported driving behaviors while controlling for driver age and gender, factors that are significantly related to driver behavior and crash likelihood. Driving behaviors are assessed through the Driver Behaviour Questionnaire (DBQ), an instrument widely used in driving research (de Winter & Dodou, 2010;Lee, Reimer, Mehler, & Coughlin, 2016;Parker, McDonald, Rabbitt, & Sutcliffe, 2000;Parker, West, Stradling, & Manstead, 1995;Reimer et al, 2005;Stephens & Groeger, 2009;Zhao et al, 2012;Zhao, Reimer, Mehler, D'Ambrosio, & Coughlin, 2013). A U.S. version of the DBQ (see Reimer et al, 2005) is used, which consists of 24 questions and three sub-scales (Errors: misjudgements or failures of observation that could be hazardous to others, Lapses: absent-minded behaviors which may be frustrating or have negative consequences for the driver responsible, but generally do not pose a threat to anyone's safety, and Violations: deliberate contraventions of legally regulated or socially accepted behaviors associated with safe vehicle operation).…”

Section: Introductionmentioning

confidence: 99%

The Relation Between the Driver Behavior Questionnaire, Demographics, and Driving History

Donmez

Mehler

Lee

et al. 2017

Proceedings of the 9th International Driving Symposium on Human Factors in Driver Assessment, Training, and Vehicle Design: Dri

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Summary:This paper presents an analysis of responses obtained on the Driver Behavior Questionnaire (DBQ) and self-reported history of the frequency of crashes, citations, and warnings in a sample of 562 drivers. The sample was closely balanced by gender and distributed in a broadly proportional manner across an age range of from 20 to 69 years. As has been previously reported, age and gender were found to be related to both DBQ scores and crash rates. The size and demographic distribution of the sample allowed an analysis to be run looking at the relationships of DBQ subscale scores with crashes, citations, and warnings, while controlling for age and gender. The results show that higher violation scores are positively associated with increases in self-reported crash and citation likelihoods; the less serious but apparently more common experience of receiving a warning for one's driving behavior has a significant positive association with both violation and lapse scores. The extent to which these findings can be considered relevant to the overall driving population is enhanced from previous research given the sample size and age/gender balance.

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Behavior differences in drivers with attention deficit hyperactivity disorder: The driving behavior questionnaire

Cited by 84 publications

References 46 publications

Road-Crossing Safety in Virtual Reality: A Comparison of Adolescents With and Without ADHD

Road-Crossing Safety in Virtual Reality: A Comparison of Adolescents With and Without ADHD

Cognitive failures as predictors of driving errors, lapses, and violations

The Relation Between the Driver Behavior Questionnaire, Demographics, and Driving History

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