Literature DB >> 8951258

Motor vehicle driving competencies and risks in teens and young adults with attention deficit hyperactivity disorder.

R A Barkley1, K R Murphy, D Kwasnik.   

Abstract

PURPOSE: To evaluate the motor vehicle driving knowledge, skills, and negative driving outcomes of older teens and young adults with attention deficit hyperactivity disorder (ADHD). LOCATION: A university medical center clinic for adult ADHD.
SUBJECTS: A total of 25 young adults with ADHD and 23 young adults without ADHD 17 to 30 years old drawn from the community and equated for age, gender, and educational level. MEASURES: Structured interview, behavior ratings by self- and others, video test of driving knowledge, computer simulated driving test, and official motor vehicle records.
RESULTS: ADHD young adults were cited more often for speeding, were more likely to have had their licenses suspended, were involved in more crashes, were more likely to have had crashes causing bodily injury, and were rated by themselves and others as using poorer driving habits. Official driving records corroborated these negative outcomes. Although no group differences in driving knowledge were evident, young adults with ADHD had more crashes, scrapes, and erratic steering during the computer-stimulated driving test than did the control subjects.
CONCLUSIONS: Findings supported previous research suggesting that greater driving risks are associated with ADHD and suggested that ADHD does not interfere with driving knowledge so much as with actual performance (motor control) during vehicle operation.

Entities:  

Mesh:

Year:  1996        PMID: 8951258

Source DB:  PubMed          Journal:  Pediatrics        ISSN: 0031-4005            Impact factor:   7.124


  68 in total

1.  Predictors of Long-Term Risky Driving Behavior in the Multimodal Treatment Study of Children with Attention-Deficit/Hyperactivity Disorder.

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Journal:  J Child Adolesc Psychopharmacol       Date:  2017-08-03       Impact factor: 2.576

2.  Prevention of youth injuries.

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3.  Cardiac risk assessment before the use of stimulant medications in children and youth.

Authors:  S A Bélanger; A E Warren; R M Hamilton; C Gray; R M Gow; S Sanatani; J M Côté; J Lougheed Frcpc; J Leblanc; S Martin; B Miles; C Mitchell; D A Gorman; M Weiss; R Schachar
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Review 4.  Recent theoretical, neural, and clinical advances in sustained attention research.

Authors:  Francesca C Fortenbaugh; Joseph DeGutis; Michael Esterman
Journal:  Ann N Y Acad Sci       Date:  2017-03-05       Impact factor: 5.691

5.  Behavioral and cardiovascular responses to frustration during simulated driving tasks in young adults with and without attention disorder symptoms.

Authors:  Michele L Oliver; Joel T Nigg; Nicholas D Cassavaugh; Richard W Backs
Journal:  J Atten Disord       Date:  2011-04-13       Impact factor: 3.256

6.  Using stimulants for attention-deficit/hyperactivity disorder: clinical approaches and challenges.

Authors:  Jonathan R Stevens; Timothy E Wilens; Theodore A Stern
Journal:  Prim Care Companion CNS Disord       Date:  2013-03-28

7.  Adolescents with attention deficit and hyperactivity disorder/learning disability and their proneness to accidents.

Authors:  Uzi Brook; Mona Boaz
Journal:  Indian J Pediatr       Date:  2006-04       Impact factor: 1.967

8.  Correspondence of parent and teacher reports in medication trials.

Authors:  Stephen V Faraone; Joseph Biederman; Brenda Zimmerman
Journal:  Eur Child Adolesc Psychiatry       Date:  2005-02       Impact factor: 4.785

Review 9.  The scientific foundation for understanding attention-deficit/hyperactivity disorder as a valid psychiatric disorder.

Authors:  Stephen V Faraone
Journal:  Eur Child Adolesc Psychiatry       Date:  2005-02       Impact factor: 4.785

10.  Driving-related risks and impact of methylphenidate treatment on driving in adults with attention-deficit/hyperactivity disorder (ADHD).

Authors:  E Sobanski; D Sabljic; B Alm; G Skopp; N Kettler; R Mattern; P Strohbeck-Kühner
Journal:  J Neural Transm (Vienna)       Date:  2008-01-16       Impact factor: 3.575

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