Executive functions (EFs) enable flexible thinking, something young children are notoriously bad at. For instance, in the dimensional change card sort (DCCS) task, 3-year-olds can sort cards by one dimension (shape), but continue to sort by this dimension when asked to switch (to color). This study tests a prediction of a Dynamic Neural Field (DNF) model that prior experience with the post-switch dimension can enhance 3-year-old’s performance in the DCCS task. In Experiment 1A, a matching game was used to pre-expose 3-year-olds (n=36) to color. This facilitated switching from sorting by shape to color. In Experiment 1B, 3-year-olds (n=18) were pre-exposed to shape. This did not facilitate switching from sorting by color to shape. The DNF model was used to provide a mechanistic explanation for this asymmetry.

Brief school-based interventions implemented by school providers can be effective. This type of service delivery model may facilitate overcoming the oft cited research-to-practice gap. (PsycINFO Database Record

The primary goals of this study were to evaluate the dimensionality of the Penny et al. Sluggish Cognitive Tempo Scale and to compare model fits for parent- and youth self-report versions. Participants were 262 young adolescents (ages 10-15) comprehensively diagnosed with attention-deficit/hyperactivity disorder. Both confirmatory factor analysis (CFA) and bifactor modeling were used to determine if the proposed three-factor structure previously identified through exploratory factor analysis could be confirmed. Results showed that although the three-factor CFA had better fit statistics than a one- or two-factor CFA, the bifactor model was the best-fitting model for both parent report and self-report. This implies that Sluggish Cognitive Tempo Scale is best conceptualized as having an underlying general factor, with three specific factors that may represent different etiologies. Importantly, results also showed low-to-moderate correlations between raters and equivalent or better fit statistics for self-report in comparison with parent report.

Summary This prospective longitudinal study evaluated the impact of daytime sleepiness on the school performance of 62 college students diagnosed comprehensively with attention deficit hyperactivity disorder. The primary goal of the study was to determine if self‐reported daytime sleepiness rated at the beginning of the academic year could predict academic and overall functioning at the end of the academic year while also considering potentially important covariates, including symptoms of inattention, hyperactivity and impulsivity, medication status and whether or not students lived at home or on‐campus. Self‐reported daytime sleepiness predicted longitudinally school maladjustment, overall functional impairment and the number of D and F grades (i.e. poor and failing) students received in courses above and beyond both self‐ and parent‐report of symptoms, but did not predict overall grade point average. Living at home served as a protective factor and was associated with less school maladjustment and overall impairment. Gender was the only significant predictor in the overall grade point average model, with female gender associated with higher overall grades. The implications of these findings for monitoring and treatment of sleep disturbances in college students with attention deficit hyperactivity disorder are discussed.

Background Research has shown that broad cognitive functioning in individuals with CF is intact. Specific executive functioning (EF) deficits have been identified, however, and adults with CF report more symptoms of ADHD than the general population. EF skills are critical to the management of a complex disease like CF although studies have not adequately examined EF mechanisms in CF. This manuscript (a) described EF in a small sample of children with CF, (b) summarized relations found between EF and psychosocial variables, and (c) presented a conceptual model by which to understand EF's impact on adherence in CF. Methods Data for this preliminary study were collected from 19 children with CF and their caregivers (ages, 6‐18). Caregivers completed questionnaires assessing their child's physical and mental health, their own functioning, and overall family functioning. EF was measured using a parent‐report rating scale. Patient health data were collected from the electronic medical record. Results This sample did not demonstrate elevated levels of EF impairment. Worse EF was related to poor family communication/cohesion, as well as higher treatment burden, worse lung function, poorer adherence, and older age. From these findings, a preliminary model was developed describing EF in the context of CF and adherence. Conclusions Findings from this preliminary study suggest that the CF regimen and associated symptoms may overload otherwise adequate EF skills. Reducing disease burden and preventing burnout should be a focus of treatment. A better understanding of EF in CF and the impact on adherence would allow for better clinical management and effective design of interventions.