Parents' history of childhood interpersonal trauma and postpartum depressive symptoms: The moderating role of mindfulness
Bibliographic record
Abstract
Postpartum depression is the most commonly reported mental health issue among parents welcoming a new child, with long-term impacts on the well-being of their family. Survivors of childhood interpersonal trauma (CIT) appear to be more vulnerable with higher rates of postpartum depressive symptoms. Yet, studies are needed on protective mechanism that can buffer the link between CIT and postpartum depressive symptoms, to identify factors that can promote resilience in CIT survivors as they navigate this demanding period. Studies also need to include both parents to adopt a comprehensive dyadic perspective. This study examined the moderating role of mindfulness, a protective mechanism documented as key for both postpartum mental health and trauma processing, in the association between CIT and postpartum depressive symptoms in parental couples. A randomly selected sample of 843 couples who recently welcomed a new child completed self-reported measures of CIT, dispositional mindfulness and postpartum depression. Path analyses showed that more experience of CIT was associated with higher levels of postpartum depression, but this association was weaker in parents with higher dispositional mindfulness. Exploration of mindfulness facets yielded that higher disposition to act with awareness and observation acted as specific buffers, for fathers and mothers respectively. In addition, more CIT reported by one parent was linked with their partner's higher depressive symptoms. These findings shed light on the protective role of mindfulness during the postpartum period to protect against postpartum depression in parents who are CIT survivors and their partners.
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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 | 0.000 | 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) | 0.002 | 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".