Internalizing Behaviors in 4-Year-Old Children Exposed in Utero to Psychotropic Medications
Bibliographic record
Abstract
Objective: Internalizing behaviors in children between 4 and 5 years of age who had been prenatally exposed to psychotropic medications were investigated. The authors had previously reported the effects of prenatal medication exposure in this same cohort when they were newborns and infants at 3 and 8 months of age. Method: Parental/teacher reports and a clinical measure of mother and child interactions were used to assess levels of internalizing behaviors (e.g., depression, anxiety, withdrawal). Outcomes were compared between children with prenatal selective serotonin reuptake inhibitor (SSRI) exposure (N=22) and nonexposed children of healthy, nondepressed, nonmedicated mothers (N=14). Measures of maternal mood were obtained. Ordered logistic regressions, independent-sample t tests, and univariate ANOVAs were used to compare outcomes between groups. Pearson correlations were used to determine associations between maternal mood and child behaviors. Results: Levels of internalizing behaviors did not differ significantly between children with prenatal psychotropic medication exposure and those not exposed. However, as symptoms of maternal anxiety and depression increased, so did reported internalizing behaviors in their children. Conclusions: Prenatal exposure to psychotropic medications was not associated with increased reports of internalizing behaviors at 4 years of age, whereas impaired maternal mood did have an identified impact on child behavior. Further study of complex associations between maternal psychiatric disorders, prenatal SSRI exposure, and childhood internalizing behaviors is required to understand if the child outcome is affected by the illness, medications, or a combination of both.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".