Preterm delivery among Inuit women in the Baffin Region of the Canadian Arctic
Bibliographic record
Abstract
OBJECTIVE: To evaluate the rate and causes of preterm (before 37 weeks gestation) and very preterm (before 32 weeks gestation) delivery among a population of Inuit living in Canada. STUDY DESIGN: Three-year retrospective cross-sectional review of charts for patients delivering in the Baffin Region of Canada. RESULTS: There were 938 births over the study period; 95% to Inuit women. Inuit women had a preterm delivery rate of 18.2% and a very preterm delivery rate of 2.4%, more than twice the Canadian national average. Sociodemographic risk factors for preterm delivery including substance use, young age, single marital status, and poor nutrition, occurred more frequently among Inuit women compared to non-Inuit women, but were not independently associated with prematurity. Known medical and obstetrical risk factors were associated with preterm delivery among Inuit women; history of prior preterm delivery, multiple pregnancy, placenta previa, poor weight gain and vaginal bleeding after 20 weeks gestation. Hospitalization rates and infant mortality were higher among preterm infants. The most common indication for hospitalization was respiratory infection (51.1%) followed by other infection (15.8%). CONCLUSION: Inuit women had preterm and very preterm delivery rates more than twice the Canadian national average. Preterm delivery was associated with several medical risk factors and resulted in significant increases in infant hospitalization and mortality.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".