Parental separation following preterm delivery in Canada: a population-based cohort study
Bibliographic record
Abstract
OBJECTIVE: To examine the association between preterm delivery and parental separation and identify associated risk factors. METHODS: All opposite sex, married or common-law parents whose relationship status was available at index delivery and for the next 5 years were eligible in this retrospective population-based cohort study in Manitoba, Canada. Parents of children born preterm were matched 1:5 to parents of children born full-term. Parental separation within 5 years of childbirth was the primary outcome. Secondary outcome was the time to separation. Multivariable Poisson regression model was created to estimate the 5-year incidence rate ratios (IRR) of the primary outcome. RESULTS: Parents of 6367 children born preterm (n=164 for <28 weeks, n=1196 for 28-33 weeks, n=5007 for 34-36 weeks) and parents of 30 663 children born full-term were included. Compared with parents of children born term (4.2%), only parents of children born at 34-36 weeks had a higher incidence rate of separation (5.5%, IRR: 1.26; 1.09-1.45, p=0.002), although parents of children born at 28-33 weeks (5.4%, IRR: 1.20; 0.93-1.55, p=0.16), and at<28 weeks (5.5%, IRR: 1.27; 0.66-2.45, p=0.48) had similar IRRs. Time to separation was similar between all groups. CONCLUSIONS: Parents of children born at 34-36 weeks had higher separation rates than parents of children born full-term. The risk factors identified can be used to identify and provide supports to at-risk parents.
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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 | 0.001 | 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".