Predictors of women's physical health problems after childbirth
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The objectives of this study were to document the extent and the correlates of common physical health symptoms in women two months after childbirth. Of special interest was determining whether violence and depression histories increase the risk for experiencing these symptoms. Participants were recruited in six Toronto-area hospitals and were interviewed by telephone 8-10 weeks later. Two hundred of the 332 (60.2%) women who were approached completed the study. Most women (96%) reported at least one physical health symptom 2 months postnatally (Mean = 3.4, SD = 2.0). Stepwise logistic regression was conducted for each outcome. Antenatal depression was a significant predictor of excessive fatigue and bad headaches. Sick leave during pregnancy predicted postpartum backaches. Adult emotional abuse and household income were associated with bowel problems. Episiotomy, maternal complications, and planned pregnancy predicted perineal pain. Finally, being Canadian born and having an assisted vaginal delivery increased the risk for hemorrhoids while cesarean section decreased the risk. A high prevalence of physical symptoms was found in women after childbirth. History of depression and violence were implicated in the occurrence of some of these symptoms. Other important predictors included demographic, maternal, and delivery-related factors.
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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 | 0.001 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| 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 it