Cumulative childhood trauma and complex psychiatric symptoms in pregnant women and expecting men
Bibliographic record
Abstract
BACKGROUND: Women and men having been exposed to childhood trauma would be at high risk of various mental health symptoms while awaiting a child. This study aimed to evaluate the association between cumulative childhood trauma and the accumulation of symptoms belonging to different psychiatric problems in pregnant women and expecting men. METHODS: We first examined prevalence rates of childhood trauma across our samples of 2853 pregnant women and 561 expecting men from the community. Second, we evaluated the association between cumulative childhood trauma and symptom complexity (i.e., the simultaneous presentation of symptoms belonging to multiple psychiatric problems) using subsamples of 1779 pregnant women and 118 expecting men. Participants completed self-reported measures of trauma (Childhood Trauma Questionnaire) and psychiatric symptoms (PTSD Checklist for DSM-5; Kessler Psychological Distress Scale; State-Trait Anger Expression Inventory-2; Self and Interpersonal Functioning Scale). RESULTS: Trauma was more frequent in pregnant women than in expecting men and in participants reporting sociodemographic risk factors than in those not reporting any. A dose-response relationship was observed between the number of different traumas reported by pregnant women and expecting men and the complexity of their psychiatric symptoms, even when controlling for the variance explained by other risk factors. Women having been exposed to cumulative childhood trauma were 4.95 times more at risk of presenting comorbid psychiatric problems during pregnancy than non-exposed women. CONCLUSIONS: Childhood trauma is frequent in the general population of pregnant women and expecting men and is associated with symptom complexity during the antenatal period. These findings call for delivering and evaluating innovative trauma-informed antenatal programs to support mental health and adaptation to parenthood in adults having been exposed to childhood trauma.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.001 | 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".