Adult Attention Deficit Hyperactivity Disorder in an Anxiety Disorders Population
Bibliographic record
Abstract
Adult Attention Deficit Hyperactivity Disorder (ADHD) is a life-long, chronic disorder, which has its onset in childhood and is associated with significant functional impairment. ADHD appears to be highly comorbid with other psychiatric disorders, however, literature is lacking concerning ADHD/anxiety comorbidity. To that end, we examined the prevalence of ADHD in an anxiety disorder sample. Consecutive patients referred to an anxiety disorders clinic completed a variety of anxiety disorder self-report measures as well as the Adult ADHD self-report scale and were clinically assessed using the Structured Clinical Interview for DSM-IV, and the ADHD module of the Mini International Neuropsychiatric Interview. Of the 129 patients assessed, the rate of adult ADHD was 27.9%. The mean age of the sample was 33.1 ± 12.5 years, and the mean baseline CGI-S was 4.6 ± 1.1 (moderate to marked severity). The majority of the sample was female (63.6%) and single (49.5%). The most common comorbid disorders associated with ADHD were major depressive disorder (53.8%), social phobia (38.5%), generalized anxiety disorder (23.1%), and impulse control disorders (30.8%). Individuals with ADHD had higher symptom severity scores for obsessive-compulsive disorder, (P≤ 0.05) and for GAD (P≤ 0.05) and reported a significantly earlier age of onset for depression as compared to those without (P≤ 0.05). The prevalence of adult ADHD was higher in our anxiety disorders clinic sample than found in the general population. Clinical implications of these findings are discussed.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".