Exploring the prospective role of relationships and psychological distress in postpartum risk of intergenerational continuity of child maltreatment
Bibliographic record
Abstract
Objectives: This prospective longitudinal study aimed to explore the role of family relationships (romantic satisfaction and mother-infant bonding) and psychological distress in the associations between four child maltreatment (CM) subtypes (sexual, physical, and emotional abuse, neglect) and early child abuse potential in young mothers.Methods: A sample of 85 pregnant mothers (18-29 years old) was recruited to complete an online survey at Time 1 (T1); 57 mothers participated at T2 (3 months postpartum). The survey documented experiences of CM, prenatal romantic satisfaction, postnatal psychological distress, mother-infant bonding, and child abuse potential using validated questionnaires.Results: Four sequential mediation models were tested, one for each CM subtype. Results show that a maternal history of CM (all subtypes) was indirectly associated with heightened child abuse potential three months postpartum. All CM subtypes were negatively related to prenatal romantic satisfaction, which was in turn negatively associated with postnatal psychological distress. Postnatal psychological distress was related to lower mother-infant bonding which, in turn, was related to increased child abuse potential. The complete sequential model was significant for physical, sexual, and emotional abuse, while a partial sequence was identified with neglect.Implications: Our results are consistent with theoretical models and empirical findings demonstrating the importance of relational factors and mental health in the intergenerational continuity of CM. While our findings await replication, they emphasize the need to intervene early - during the perinatal period - on mental health and family relationships to interrupt intergenerational cycles of CM in at-risk families.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".