Adverse Childhood Experiences, Pregnancy and Postpartum Depressive Symptoms, and Child Socioemotional Problems Over the First Three Years of Life
Bibliographic record
Abstract
Adverse childhood experiences (ACEs) are associated with higher rates of prenatal and postpartum depression and child socioemotional problems. This longitudinal study investigated prenatal and postpartum depression as indirect effects linking maternal ACEs to changes in toddler socioemotional problems. Mothers (n = 304) reporting their ACEs, depressive symptoms in pregnancy and 6-months postpartum, and their children's socioemotional problems at 15-, 24-, and 35- months postpartum. Latent growth curve parallel and serial mediation analyses indicated that higher maternal ACEs were significantly associated with greater perinatal depressive symptoms. Depressive symptoms during pregnancy, but not 6-months postpartum, were associated with higher average socioemotional problems at each time point. Maternal ACEs were indirectly associated with average socioemotional problems through prenatal, but not postpartum, depressive symptoms. Indirect effects from maternal ACEs to socioemotional problem trajectories were not significant. Findings suggest that prenatal depressive symptoms should be further explored as a mechanism through which maternal ACEs impact early socioemotional 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 | 0.003 |
| 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 | 0.001 |
| 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".