(#6) ADHD and Comorbid Diagnosis: Considerations of Prevalence In Clinical Settings Using Bayesian Statistics

Abstract: This presentation explores the rates of ADHD being diagnosed, suggesting potential underdiagnosis, particularly in patients presenting with anxiety and depression. These co-occurring conditions are linked to shared factors and the psychological impact of ADHD. Because anxiety and depression often respond to primary care treatments, underlying ADHD may go undiagnosed. Notably, stimulants can decrease anxiety in individuals with underlying ADHD, unlike in pure anxiety. Late 20s and early 30s are common diagnosis periods due to increased executive function demands. A case study highlights successful stimulant treatment after years of ineffective anxiety therapy. Using Bayesian statistics, the presentation will demonstrate the increased probability of ADHD in individuals presenting with anxiety, depression, bipolar disorder, or substance use disorder in clinical populations. For example, approximately 30% of psychiatric patients with anxiety may also have ADHD. This underscores the importance of considering underlying ADHD in psychiatric patients presenting with mood and anxiety symptomsShort Description: This poster will explore the frequent co-occurrence of ADHD with anxiety and depression, suggesting that underlying ADHD may be masked by these presenting symptoms. It will highlight how atypical responses to stimulants (anxiety reduction) and life transitions increasing executive function demands can indicate undiagnosed ADHD. Using Bayesian statistics, we will demonstrate the increased probability of ADHD in psychiatric patients with mood and anxiety disorders, emphasizing the importance of considering ADHD in these populationsName of Sponsoring Organization(s): n/a