ObjectiveThe aim of this review was to gain insight into the relationship between Attention deficit hyperactivity disorder (ADHD) and risky performance in gambling tasks and to identify any potential alternate explanatory factors.MethodsPsycINFO, PubMed, and Web of Knowledge were searched for relevant literature comparing individuals with ADHD to normal controls (NCs) in relation to their risky performance on a gambling task. In total, fourteen studies in children/adolescents and eleven studies in adults were included in the review.ResultsHalf of the studies looking at children/adolescents with ADHD found evidence that they run more risks on gambling tasks when compared to NCs. Only a minority of the studies on adults with ADHD reported aberrant risky behavior. The effect sizes ranged from small to large for both age groups and the outcome pattern did not differ between studies that applied an implicit or explicit gambling task. Two studies demonstrated that comorbid oppositional defiant disorder (ODD) and conduct disorder (CD) increased risky behavior in ADHD. Limited and/or inconsistent evidence was found that comorbid internalizing disorders (IDs), ADHD subtype, methylphenidate use, and different forms of reward influenced the outcomes.ConclusionThe evidence for increased risky performance of individuals with ADHD on gambling tasks is mixed, but is stronger for children/adolescents with ADHD than for adults with ADHD, which may point to developmental changes in reward and/or penalty sensitivity or a publication bias for positive findings in children/adolescents. The literature suggests that comorbid ODD/CD is a risk factor in ADHD for increased risky behavior. Comorbid IDs, ADHD subtype, methylphenidate use, and the form of reward received may affect risky performance in gambling tasks; however, these factors need further examination. Finally, the implications of the findings for ADHD models and the ecological validity of gambling tasks are discussed.
Children with attention-deficit/hyperactivity disorder (ADHD) often exhibit problem behavior in class, which teachers often struggle to manage due to a lack of knowledge and skills to use classroom management strategies. The aim of this meta-analytic review was to determine the effectiveness of several types of classroom interventions (antecedent-based, consequence-based, self-regulation, combined) that can be applied by teachers in order to decrease off-task and disruptive classroom behavior in children with symptoms of ADHD. A second aim was to identify potential moderators (classroom setting, type of measure, students’ age, gender, intelligence, and medication use). Finally, it was qualitatively explored whether the identified classroom interventions also directly or indirectly affected behavioral and academic outcomes of classmates. Separate meta-analyses were performed on standardized mean differences (SMDs) for 24 within-subjects design (WSD) and 76 single-subject design (SSD) studies. Results showed that classroom interventions reduce off-task and disruptive classroom behavior in children with symptoms of ADHD (WSDs: MSMD = 0.92; SSDs: MSMD = 3.08), with largest effects for consequence-based (WSDs: MSMD = 1.82) and self-regulation interventions (SSDs: MSMD = 3.61). Larger effects were obtained in general education classrooms than in other classroom settings. No reliable conclusions could be formulated about moderating effects of type of measure and students’ age, gender, intelligence, and medication use, mainly because of power problems. Finally, classroom interventions appeared to also benefit classmates’ behavioral and academic outcomes.
Background Effectiveness studies indicate various classroom management strategies (CMSs) that are helpful for students with attention-deficit/hyperactivity disorder (ADHD), but little is known about teachers' experiences with these CMSs in school practice. Objective This study examined primary and secondary school teachers' reported frequency of use and the perceived effectiveness of evidence-based CMSs for students with symptoms of ADHD. Method Dutch primary (n = 89) and secondary (n = 51) school teachers completed a survey in which they reported how often they use and how effective they experience several CMSs for students with ADHD symptoms. The frequency of use of CMSs was also rated for typically developing (TD) students. Results Teachers reported applying antecedent-based CMSs most often and self-regulation CMSs least often, which was in accordance with the perceived effectiveness of these types of CMSs. Primary school teachers applied antecedent-based CMSs more often for students with ADHD symptoms than for TD students, whereas secondary school teachers did not adapt their use of CMSs especially for such students. Secondary school teachers with a more positive attitude towards ADHD reported that they use CMSs more frequently for students with ADHD symptoms. Other teacher characteristics did not play a significant role. Conclusion Teachers' reported frequency of use and the perceived effectiveness of CMSs for students with ADHD symptoms do not conform to evidence-based effectiveness. Regarding the use of CMSs, secondary school teachers generally do not provide additional support for students with ADHD symptoms. These findings have important implications for the provision of adequate teacher training.
Autism spectrum disorder (ASD) is marked by impairments in social-emotional situations, executive functioning, and behavioral regulation. These symptoms may be related to deficits in performance monitoring, i.e., the ability to observe and evaluate one's own behavior and performance which is necessary for the regulation of future behavior. The present literature review investigated electroencephalic correlates of performance monitoring in ASD. Event-related potentials (ERPs) considered in this review included internal performance monitoring components (error-related negativity, error positivity), external performance monitoring components (feedback-related negativity, feedback-P3), and observational performance monitoring components (observer error-related negativity, observer feedback-related negativity). The majority of studies point to reduced internal performance monitoring in ASD. External performance monitoring in reward-processing paradigms, where rewards are independent of performance, seems to be intact in ASD. So far, no studies have investigated the observer error-related negativity in ASD. Available data on the observer feedback-related negativity are inconclusive, since only two studies with differential study results investigated this construct in ASD. In general, results suggest that individuals with ASD have problems with internal performance monitoring and with learning from external, abstract feedback. In contrast, the processing of external, concrete feedback seems to be largely intact in ASD.
Risicovol gedrag in het dagelijks leven bij ADHDAandachtstekortstoornis met hyperactiviteit (ADHD) is een neuro-ontwikkelingsstoornis die gekenmerkt wordt door aandachtsproblemen en/of hyperactiviteit-impulsiviteit [1]. De prevalentie van ADHD in de algemene bevolking wordt geschat op 6-7 % bij kinderen en 5 % bij volwassenen [2]. ADHD-symptomen nemen vaak af tijdens de adolescentie (remitterende ADHD), Dit artikel is gebaseerd op een wetenschappelijke publicatie in PLoS ONE (vrij toegankelijk). Groen Y, Gaastra GF, Lewis-Evans B, et al. Risky behavior in gambling tasks in individuals with ADHD -A systematic literature review. PLoS ONE 2013; 8.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.