Posttraumatic Stress Disorder after Pregnancy, Labor, and Delivery
Bibliographic record
Abstract
OBJECTIVES: Other studies of posttraumatic stress disorder (PTSD) after birth did not include questions about prior traumatic life events. This study sought to determine if a difficult birth was associated with symptoms of PTSD as well as considering sociodemographics, history of violence, depression, social support, and traumatic life events. METHODS: New mothers were recruited on the postpartum ward of six Toronto-area hospitals (n = 253) and were interviewed by telephone 8-10 weeks postpartum (n = 200). We dichotomized the postpartum stress (PTS) into high PTS (answered "yes" to 3 or more items) or low PTS (answered "yes" to 0-2 items). We calculated the odds ratios between difficult birth, other factors, and the binary PTS variable. RESULTS: Results of multivariable logistic regression revealed that no factor suggestive of a difficult birth was significantly related to high PTS scores, except having two or more maternal complications (odds ratio [OR] = 4.0, 95% confidence interval [CI] = 1.3-12.8). Other independent predictors of high PTS scores were depression during pregnancy (OR = 18.9, 95% CI = 5.8-62.4), having two or more traumatic life events (OR = 3.2, 95% CI = 1.2-8.3), being Canadian born (OR = 3.2, 95% CI = 1.3-8.1), and having higher household income (lowest income group, OR = 0.1, 95% CI = 0.02-0.5), intermediate income group OR = 0.4, 95% CI = 0.2-0.8). CONCLUSIONS: In this study, postpartum stress symptoms appeared to be related more to stressful life events and depression than to pregnancy, labor, and delivery.
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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".