Affect Expression and Self-Regulation Capacities of Infants Exposed in utero to Psychotropics
Bibliographic record
Abstract
This study explored the affect expression and self-regulation capacities of 8-month-old infants exposed in utero to psychotropic medications. This was a continuation of our previous study conducted on the same cohort when the infants were 3 months old. Psychotropics implicated included selective serotonin reuptake inhibitors (SSRIs), and a benzodiazepine derivative anxiolytic (clonazepam). The three comparison groups were: control (n = 23; infants not exposed to psychotropics in utero), SSRI-alone (n = 22; infants exposed to SSRIs only and having mothers who had a primary diagnosis of depressive disorder without having comorbid anxiety disorder), and SSRI+ group (n = 15; infants gestationally exposed to SSRIs and clonazepam and having mothers that had both clinical depression and anxiety disorder). Using the Parent-Child Early Relational Assessment Scale, infants were assessed in a dyadic context during free play and a structured task. There were significant differences in psychotropic exposed and non-exposed dyads regarding infant negative affect management. There were significant associations between the SSRI+ group of mothers and infant negative affect. This group of mothers also showed significant associations with infants' averting and avoiding behaviors in both play situations. The SSRI-alone group was similar to the control group and showed variable associations with infant's positive, negative, and sober moods unlike the SSRI+ group. There were no differences in infants' capacity for self-regulation in psychotropic exposed and non-exposed groups. Increased awareness of these vulnerable subgroups (SSRI-alone and SSRI+) is needed, in order to safeguard these dyads through better support systems and improved management.
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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 | 0.000 | 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) | 0.001 | 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".