ADHD is a neurodevelopmental disorder associated with a high rate of comorbidity with anxiety disorders (25-34%). Children with ADHD experience serious adverse outcomes secondary to impairment in executive function, particularly within the domain of working memory (WM), behavioral inhibition (BI), and sustained attention (SA). While executive function deficits in ADHD are well documented, whether and how comorbid anxiety affects cognitive performance are equivocal. One potential explanation is that most studies examine linear relations, yet evidence suggests that anxiety affects performance in a non-linear (quadratic) manner, consistent with the the Yerkes-Dodson Law. The aim of this study was to investigate whether 1) children with ADHD show deficits in WM, BI, and SA relative to typically developing children, 2) comorbid anxiety displays a linear or nonlinear relationship with WM, BI, and SA performance among children with ADHD and 3) between group differences in cognitive performance vary based on levels of anxiety. Linear and non-linear relations between anxiety and cognitive performance were assessed in a sample of 54 boys diagnosed with ADHD and 50 typically developing boys. Anxiety was assessed across dimensions and raters. Results indicate rater and domain-specific effects of comorbid anxiety on cognitive performance. Non-linear relations between children’s self-rated physiological anxiety and Phonological working memory (PHWM), Visuospatial working memory (VSWM), and the Central Executive (CE) were found. Non-linear relations between parent-rated anxiety and PHWM and the CE were also found. However, no significant linear or non-linear effects of anxiety on BI and SA were found. The results indicate that children with moderate self-rated and parent-rated anxiety performed better on WM measures relative to those with low and high levels of self-rated and parent-rated anxiety. The present study was the first to examine and document non-linear effects of anxiety on cognitive performance among children diagnosed with ADHD. Given the results, clinicians should continue to assess anxiety during diagnostic screening in ADHD samples. Treatments should focus on compensating for CE abilities and mitigating high levels of anxiety as it may further impair WM.

Suicide is a significant public health problem, with incidence rates and lethality continuing to increase yearly. Given the large human and financial cost of suicide worldwide alongside the lack of progress in suicide prediction, more research is needed to inform suicide prevention and intervention efforts. This study approaches suicide from the lens of suicide note-leaving behavior, which can provide important information on predictors of suicide. Specifically, this study adds to the existing literature on note-leaving by examining history of suicidality, mental health problems, and their interaction in predicting suicide note-leaving, in addition to demographic predictors of note-leaving examined in previous research using data from the National Violent Death Reporting System (NVDRS, n = 98,515). We fit a logistic regression model predicting leaving a suicide note or not, the results of which indicated that those with mental health problems or a history of suicidality were more likely to leave a suicide note than those without such histories, and those with both mental health problems and a history of suicidality were most likely to leave a suicide note. These findings reinforce the need to tailor suicide prevention efforts toward identifying and targeting higher risk populations.