Prevalence and Correlates of Self-Reported ADD/ADHD in a Large National Sample of Canadian Adults
Bibliographic record
Abstract
OBJECTIVE: The objective of this study was to examine the prevalence and correlates of self-reported attention deficit disorder (ADD)/ADHD in Canadian adults. METHOD: Prevalence of self-reported ADD/ADHD was examined in a large national sample of Canadians ( n = 16,957). Demographic variables, lifetime, and current psychiatric comorbidities were then compared in a group of adults with self-reported ADD/ADHD ( n = 488) and an age- and gender-matched control group ( n = 488). RESULTS: The prevalence of self-reported ADD/ADHD was 2.9%. Significantly higher lifetime and current prevalence rates of major depressive disorder, bipolar I and II disorders, generalized anxiety disorder, and substance use disorders were observed in the ADD/ADHD group compared with the control group. Within the ADD/ADHD group, lifetime and 12-month prevalence rates of major depressive disorder and generalized anxiety disorder were significantly higher in women, whereas lifetime and current rates of some substance use disorders were significantly higher in men. CONCLUSION: In a national sample of Canadian adults, self-reported ADD/ADHD was associated with significant psychiatric comorbidity. Gender differences were also noted.
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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 | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 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".