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Objective: To determine motor vehicle crash (MVC) risk in adults with a history of childhood attention-deficit/hyperactivity disorder (ADHD) and persistent ADHD symptoms.
Method: Participants with (n = 441) and without (n = 239; local normative comparison group) childhood ADHD from the Multimodal Treatment of Attention-Deficit/Hyperactivity Disorder (MTA) Study were included. Participants provided self-reports on total number of MVCs they had been involved in and the time of licensure. Driving experience was estimated as the number of months since licensure. Total number of MVCs by adulthood was regressed on baseline ADHD status adjusting for sex, age at follow-up, driving experience, baseline oppositional defiant disorder/conduct disorder comorbidity, baseline household income level, adult oppositional defiant disorder/conduct disorder symptoms, adolescent and adult substance use, and adult antisocial personality disorder symptoms. We repeated the analysis using adult ADHD status (persistent versus desistant versus local normative comparison group) and symptom level as the predictor variables. Results are presented as incidence rate ratio (IRR) and CI.
Results: Childhood ADHD was associated with a higher number of MVCs (IRR = 1.45, CI = 1.15-1.82), and adult ADHD symptom persistence was associated with more MVCs than desistance (IRR = 1.46, CI = 1.14-1.86). ADHD desistance was not associated with a significantly increased risk for MVCs compared with the local normative comparison group (IRR = 1.24, CI = 0.96-1.61). Concurrent symptoms of inattention and hyperactivity/impulsivity predicted MVC risk.
Conclusion: Persistence of ADHD into adulthood is a stronger predictor of MVC risk than childhood-limited ADHD.
Clinical Trial Registration Information: Multimodal Treatment of Attention Deficit Hyperactivity Disorder (MTA) Study; https://clinicaltrials.gov; NCT00000388.
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http://dx.doi.org/10.1016/j.jaac.2019.08.007 | DOI Listing |
Appl Neuropsychol Child
September 2025
Neuroscience Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.
Objective: Attention deficit hyperactivity disorder (ADHD) is linked to time perception deficits, with theories such as Scalar Expectancy Theory (SET) and Dynamic Attending Theory (DAT) offering different explanations. SET suggests time perception relies on a pacemaker-counter system influenced by working memory, whereas DAT highlights the role of attention in modulating time perception. This study examines the impact of attention, working memory, and motor response on time perception in children with ADHD.
View Article and Find Full Text PDFJ Child Psychol Psychiatry
September 2025
Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.
Background: Prospective studies of autism family history infants primarily report recurrence and predictors of autism at 3 years. Less is known about ADHD family history infants and later childhood outcomes. We characterise profiles of mid-childhood developmental and behavioural outcomes in infants with a family history of autism and/or ADHD to identify potential support needs and patterns of co-occurrence across domains.
View Article and Find Full Text PDFJAACAP Open
September 2025
Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio.
Objective: Despite rapid advancements in understanding of cognitive disengagement syndrome (CDS) in children, less is known about the neural correlates of CDS. The aim of this study was to examine associations between CDS symptom severity and connectivity within and between specific brain networks.
Method: The study recruited 65 right-handed children (ages 8-13 years; 36 boys) with the full continuum of CDS symptom severity from the community.
JAACAP Open
September 2025
Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands.
Objective: The current study aims to examine executive and social functioning in children and adolescents with Noonan syndromes, which contributes to the understanding of the cognitive and behavioral profile of this population and possible treatment options.
Method: A total of 26 children and adolescents with Noonan syndromes (including Noonan syndrome, Noonan syndrome with multiple lentigines, and Noonan-like syndrome with loose anagen hair; mean age = 11.92 years, SD = 2.