Attention‐deficit/hyperactivity disorder casts a long shadow: findings from a population‐based study of adult women with self‐reported ADHD
Bibliographic record
Abstract
BACKGROUND: To develop a sociodemographic and health profile of women with self-reported attention deficit/hyperactivity disorder (ADHD) in comparison to women without. METHODS: Chi-square tests and logistic regression analyses were conducted on data from the nationally representative Canadian Community Health Survey-Mental Health (2012) comparing 107 women aged 20 to 39 years (inclusive) with ADHD to 3801 without ADHD. Depression, generalized anxiety disorder and substance abuse were measured using the WHO-CIDI. RESULTS: Women with ADHD had triple the prevalence of insomnia, chronic pain, suicidal ideation, childhood sexual abuse and generalized anxiety disorder and double the prevalence of substance abuse, current smoking, depressive disorders, severe poverty and childhood physical abuse in comparison with women without ADHD (all P < 0.001). Even after adjustments for age, race, education and income, women with ADHD had substantially higher odds of a wide range of problems. CONCLUSION: Our results suggest that women with ADHD are particularly vulnerable to early adversities, health and mental health problems.
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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 | 0.001 | 0.002 |
| 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) | 0.001 | 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".