Prevalence and Predictors of Postpartum Maternal and Infant Bed-Sharing Among Chinese-Canadian Women
Bibliographic record
Abstract
Objective/Background: Our primary objective was to describe and identify predictors of any and predominant bed-sharing at 4 and 12 weeks postpartum among Chinese-Canadian mothers. Participants: We conducted a longitudinal study of 570 Chinese immigrant and Canadian-born women in Toronto, Ontario. Methods: Any bed-sharing, defined as sharing a bed or mattress for any part of the night on any night in the previous week, and predominant bed-sharing, defined as sharing a bed or mattress for most of the night, on more than half the nights of the previous week, were evaluated at 4 and 12 weeks postpartum. Predictors of bed-sharing, evaluated in multivariable logistic regression models, were background (age, parity, education, household size, delivery mode, social support), cultural (immigrant status, acculturative stress, acculturation, postpartum ritual uptake), and postpartum variables (mental health, breastfeeding problems, fatigue, sleep knowledge, plans for bed-sharing, perceptions of infant sleep problems, cognitions about infant sleep). Results: One in five women (20.7%) reported bed-sharing as the predominant sleep location for their infant at 4 weeks postpartum, with nearly half (45.6%) reporting any bed-sharing at this time. The prevalence of any bed-sharing remained relatively stable at 12 weeks postpartum (46.5%), while predominant bed-sharing increased to 30.1%. The most consistent predictors of any and predominant bed-sharing at 4 and 12 weeks postpartum were lower education level, greater acculturative stress, and predelivery plans to bed-share. Conclusions: These findings have implications for the development of clinical recommendations given to expectant and new parents to promote infant sleep practices that are consistent with American Academy of Pediatrics recommendations.
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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 | 0.001 |
| 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".