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Background: Relations among attention-deficit/hyperactivity disorder (ADHD), sleep, and substance-related negative consequences are largely unknown. In this cross-sectional study, we examined associations among ADHD diagnosis, sleep, and alcohol-related consequences. We also evaluated the independent and interactive effects of sleep and ADHD on alcohol-related negative consequences, above and beyond levels of alcohol use. Methods: College students who drink alcohol with (n = 51) and without (n = 50) ADHD completed an assessment that included a diagnostic interview assessing ADHD, and questionnaire measures of sleep quality, substance use, and associated consequences. Analyses utilized a series of hierarchical linear regression models and explored these aims for cannabis use in a subset of participants (n = 52 participants that used cannabis). Results: College students who drink alcohol with ADHD reported significantly worse sleep quality and more alcohol-related consequences, relative to those without ADHD. When ADHD and sleep quality were included in the model, ADHD—but not sleep quality—was independently associated with alcohol consequences, but not cannabis consequences. There were no moderating effects of ADHD on the associations between sleep and substance-related consequences. Conclusions: Students who drank alcohol with ADHD may be particularly vulnerable to experiencing poor sleep and consequences from their substance use, compared to their heavy drinking peers without ADHD. Future, larger scale studies should consider longitudinal effects as well as underlying mechanisms of risk. [ABSTRACT FROM AUTHOR]

Aims Contemporary theories of attention-deficit/hyperactivity disorder (ADHD) and alcohol use disorder (AUD) emphasize core dysfunctions in reward-related processes and behaviors as pathognomonic characteristics. However, to date, it is unclear which domains of reward functioning are unique to ADHD versus AUD symptom dimensions, and which represent underlying shared correlates. Methods The current study employed secondary data analyses from a large community sample of emerging adults (N  = 602; 57.3% female) and novel transdiagnostic modeling (i.e. bi-factor confirmatory factor analyses and structural equation modeling) of ADHD, AUD and shared symptom dimensions to identify unique and common reward-related dimensions: environmental suppressors, reward probability, hedonic capacity, proportionate substance-related reinforcement and delay discounting. Results The presence of environmental suppressors was the only reward-related construct that correlated with the underlying ADHD-AUD shared dimension. The AUD symptom dimension was uniquely associated with proportionate substance-related reinforcement, whereas the ADHD symptom dimension was uniquely associated with limited reward probability. No significant associations were found for delay discounting or hedonic capacity. Conclusions These novel findings highlight specific aspects of reward-related functioning in ADHD, AUD and shared symptom dimensions. In so doing, this work meaningfully advances theoretical conceptualizations of these two commonly co-occurring presentations and suggests future directions for research on transdiagnostic correlates. Future longitudinal studies should include clinical samples with diagnoses of AUD and ADHD to further identify underlying correlates over time. [ABSTRACT FROM AUTHOR]

Objective: The objective of the study is to describe the extent to which students with ADHD received school-based intervention services and identify demographic, diagnostic, and impairment-related variables that are associated with service receipt in a large, nationally drawn sample. Method: Parent-reported data were obtained for 2,495 children with ADHD aged 4 to 17 years from the National Survey of the Diagnosis and Treatment of ADHD and Tourette Syndrome (NS-DATA). Results: The majority (69.3%) of students with ADHD currently receive one or more school services. Educational support (62.3%) was nearly twice as prevalent as classroom behavior management (32.0%). More than 3 times as many students with ADHD had an individualized education program (IEP; 42.9%) as a Section 504 plan (13.6%). Conclusion: At least one in five students with ADHD do not receive school services despite experiencing significant academic and social impairment, a gap that is particularly evident for adolescents and youth from non-English-speaking and/or lower income families. [ABSTRACT FROM AUTHOR]

Children with attention-deficit/hyperactivity disorder (ADHD) evidence many problems in the classroom. Teacher in-service training is routinely used to inform school professionals about a number of special topics; however, the efficacy of such in-service training for ADHD has not been established. The present study examined the efficacy of brief in-service training focused on evidence-based assessment and treatment of ADHD. Teachers from six schools (N = 142) in the Washington, DC, metropolitan area were randomly assigned at the school level to receive in-service training immediately or to a waitlist control group that received in-service training 1 month later. Measures of ADHD knowledge and use of behavior modification techniques were obtained at pre- and post-in-service intervention. Results indicated that the in-service training resulted in increased ADHD knowledge. Special education teachers also reported increased use of behavior modification techniques resulting from the in-service training. Clinical and research implications are presented. © 2008 Wiley Periodicals, Inc. [ABSTRACT FROM AUTHOR]

This is a commentary on Danielson and colleagues' report entitled "ADHD Prevalence Among U.S. Children and Adolescents in 2022: Diagnosis, Severity, Co-Occurring Disorders, and Treatment," which provides updated prevalence rates related to ADHD diagnosis and treatment utilization using data from the 2022 National Survey of Children's Health (NSCH). This timely article is among the first to report on ADHD prevalence rates since the COVID-19 pandemic, and highlights important patterns related to ADHD diagnosis and treatment utilization. In this commentary, we contextualize these findings with consideration to the COVID-19 pandemic and within the existing literature on health disparities among youth with ADHD and their families. We end with recommendations for future work involving researchers, clinicians, and policymakers with the intention of reducing disparities in ADHD diagnosis and treatment in the U.S.