A ten‐year retrospective case review of risk factors associated with sleep‐related infant deaths
Bibliographic record
Abstract
AIM: The study aimed to identify risk factors associated with sleep-related deaths of infants (0-24 months) in the province of Manitoba, Canada, between January 2009 and December 2018. METHODS: A systematic retrospective case review of autopsies and administrative records in Manitoba between 2009 and 2018. RESULTS: A total of 145 infants died in cases where unsafe sleep environments were known to have contributed to or resulted in their death and where no explained medical causes were identified. Where data complete, all infants had at least one known risk factor for sleep-related deaths, and 96% had multiple. The most common risk factors increased over time and included objects in the sleeping environment (90% of cases), not approved sleep surfaces (77%) and bedsharing (50%). Indigenous infants, infants of young mothers and infants in low-income neighbourhoods are overrepresented. Risk factors for Indigenous infants differed from cases involving non-Indigenous infants. CONCLUSION: A high proportion of sleep-related infant deaths were associated with not approved sleep surfaces and bedsharing, especially for infants under one year. Families in low-income neighbourhoods, Indigenous families and families with young mothers were disproportionately affected by sleep-related infant deaths. There is a need to enhance messaging and smoking cessation messaging in Indigenous communities to prevent sleep-related deaths.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 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 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".