Associations Between Child Maltreatment Types and Pre- and Post-Partum Posttraumatic Stress Disorder Symptoms: A Brief Report
Bibliographic record
Abstract
Objective: To foster resilience through reducing posttraumatic stress disorder (PTSD) symptoms in pregnant mothers with child maltreatment (CM) histories, it is important to understand factors impacting their well-being. This study explored whether CM predicted the severity of PTSD symptoms and symptom clusters during pregnancy and change in symptoms from pregnancy (Time 1; T1) to 3 months postpartum (Time 2; T2).
 Methods: 88 pregnant women (aged 18 to 29) completed surveys on CM exposure, adult interpersonal trauma experiences, and PTSD symptoms at T1; 58 participated at T2.
 Results: Stepwise regressions were conducted with the covariates age, family status, and adult interpersonal traumas. When accounting for all CM types, only neglect remained associated with overall PTSD symptoms (Ft1(1, 71) = 28.93, p < .001) and for each of the PTSD symptom clusters (ps < .01). Physical abuse remained associated with the alterations in cognition and mood cluster. No CM types were associated with changes in PTSD symptoms from T1 to T2.
 Implications: In future research, the implications of neglect for pregnant mothers should be explored in depth. Perinatal care should be trauma-informed, including assessing for CM histories, to foster greater resilience by reducing perinatal PTSD symptoms.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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) | 0.000 | 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 teacher head, 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".