Behavioural effects of fetal antidepressant exposure in a Norwegian cohort of discordant siblings
Bibliographic record
Abstract
OBJECTIVE: Potential adverse effects of prenatal antidepressant exposure on child development are still debated. The possibility that associations are due to genetic or familial environmental risk factors rather than antidepressant use per se cannot easily be ruled out in conventional studies. Our objective was therefore to evaluate the association between prenatal antidepressant exposure and behavioural problems in a sibling controlled study. METHOD: This study used data on 20 180 siblings identified from the population-based Norwegian Mother and Child Cohort Study recruited between 1999 and 2008. The mothers were asked to report antidepressant use at gestational weeks 17 and 30 and 6 months post-partum. Child Behavioral Checklist syndrome scales were used to assess externalizing and internalizing behavioural problems by questionnaires sent to mothers at 18 and 36 months postpartum. We performed unmatched and matched sibling analyses using both random- and fixed-effects linear models, respectively, to determine potential behavioural effects of antidepressant exposure. RESULTS: Prenatal exposure to antidepressants was associated with increased levels of anxiety symptoms in 3 year old children after adjusting for maternal familial effects and confounding by indication (i.e. maternal depression). Effect of prenatal exposure to antidepressants was specific to anxiety, and not associated with emotional reactivity, somatic complaints, sleep problems, attention problems or aggression. CONCLUSION: Using a sibling design, we showed that prenatal antidepressant use was specifically associated with increased anxiety symptoms after adjusting for maternal familial factors and confounding by indication.
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How this classification was reachedexpand
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 | 0.002 | 0.002 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".