Pregnancy and development of diabetes in First Nations and non‐First Nations women in Alberta, Canada
Bibliographic record
Abstract
AIM: To conduct a retrospective population-based study to examine the risk of developing diabetes after delivery in First Nations and non-First Nations women in Alberta. METHODS: Delivery records (1999-2014) were linked to provincial administrative data, which allowed for a maximum follow-up of 16 years after delivery. Prevalence of pregnancy risk factors were compared by First Nations status. Hazard ratios for diabetes after delivery by First Nations status, high pre-pregnancy body weight (≥91 kg) and gestational diabetes status were estimated using the Cox proportional hazards model. RESULTS: Age-adjusted prevalence of gestational diabetes (7.9% vs 4.6%; P<0.0001), high pre-pregnancy body weight (18.8% vs 10.2%; P<0.0001) and diabetes after delivery (3.9% vs 1.1%; P<0.0001) were higher in First Nations women than in non-First Nations women. Development of diabetes after delivery was higher with First Nations status (hazard ratio 3.0, 95% CI 2.6-3.4), high pre-pregnancy body weight (hazard ratio 3.6, 95% CI 3.3-4.0) and gestational diabetes status (hazard ratio 19.2, 95% CI 17.9-20.6). The highest risk was within First Nations women with high pre-pregnancy body weight and gestational diabetes (hazard ratio 54.8, 95% CI 45.2-66.5) compared to women without these three risk factors. Reduced prenatal visits per pregnancy (8.4 vs 10.7; P<0.0001) and delayed first prenatal visit (time to delivery 23.7 vs 26.7 weeks; P<0.0001) were observed in First Nations women compared to non-First Nations women. CONCLUSION: First Nations women are at greater risk of developing diabetes after pregnancy, with gestational diabetes being the strongest predictor. Strategies that target the specific needs of First Nations women before, during and after pregnancy are required.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.000 |
| 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".