Antidepressant Use in Pregnancy and the Risk of Attention Deficit with or without Hyperactivity Disorder in Children
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: The association between antidepressant (AD) use during pregnancy and the risk of attention deficit with or without hyperactivity disorder (ADHD) in children is debated. We investigated the risk of ADHD associated with overall and class-specific antidepressant exposure in utero. METHODS: We designed a register-based cohort study using the Quebec Pregnancy/Children Cohort (QPC). A total of 144 406 singleton full-term live-born from 1998 to 2009 were included. Cox proportional hazards regression models were used to estimate unadjusted and adjusted hazard ratio with 95% confidence interval (CI). RESULTS: During 542 897 person-years of follow-up, 4564 (3.2%) infants were identified with ADHD. The mean age at first ADHD diagnosis was 6.3 ± 2.3 years (range 0-11 years), and the mean age at first ADHD medication use was 7.0 ± 1.5 years. Adjusting for potential confounders, including maternal history of depression/anxiety and ADHD, AD use during the 2nd or 3rd trimester of pregnancy was associated with an increased risk of (HR 1.3, 95% CI 1.0, 1.6; 134 exposed cases). More specifically, tricyclic use was associated with an increased risk of ADHD (HR 1.8, 95% CI 1.0, 3.1; 16 exposed cases); SSRI and SNRI use were not associated with increased ADHD risk. CONCLUSION: This study suggests that AD use during the 2nd and 3rd trimester of pregnancy, specifically tricyclics, is an independent risk factor for ADHD in children above and beyond the risk associated with maternal depression/anxiety or ADHD. However, residual confounding by indication severity could not be completely ruled out.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it