MATERNAL ABUSE HISTORY, POSTPARTUM DEPRESSION, AND PARENTING: LINKS WITH PRESCHOOLERS’ INTERNALIZING PROBLEMS
Bibliographic record
Abstract
The current study examined a temporal cascade linking mothers' history of abuse with their children's internalizing difficulties through proximal processes such as maternal postnatal depressive symptoms and responsive parenting. Participants consisted of 490 mother-child dyads assessed at three time points when children were, on average, 2 months old at Time 1 (T1), 18 months at Time 2 (T2), and 36 months at Time 3 (T3). Maternal abuse history and depressive symptoms were assessed via questionnaires at T1. Observations of responsive parenting were collected at T2 and were coded using a validated coding scheme. Children's internalizing difficulties were assessed in the preschool period using averaged parental reports. Path analysis revealed that maternal physical abuse was associated with depressive symptoms postnatally, which were in turn associated with children's internalizing behavior at 36 months of age. We also found that the association between physical abuse history and responsive parenting operated indirectly through maternal depressive symptoms. These findings remained after controlling for covariates including socioeconomic status, child gender, and age. After accounting for physical abuse history, sexual abuse history was not associated with child internalizing problems either directly or indirectly through maternal depressive symptoms and/or parenting behavior. Thus, mothers' physical abuse history is a risk factor for relatively poor mental health, which is itself predictive of both later parenting behavior and children's internalizing 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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".