Impact of gestational diabetes mellitus and high maternal weight on the development of diabetes, hypertension and cardiovascular disease: a population‐level analysis
Bibliographic record
Abstract
AIMS: To examine the association between gestational diabetes mellitus (GDM) and high maternal weight and the risk of development of chronic disease. METHODS: Women with singleton deliveries between April 1999 and March 2010 in Alberta, Canada, were categorized according to pre-pregnancy weight (overweight ≥ 91 kg) and GDM status. Obstetric and neonatal outcomes, as well as the long-term incidence of maternal diabetes, hypertension and cardiovascular disease were examined. RESULTS: Of 240 083 women, 213 765 (89%) had no GDM and were not overweight (reference group), 17 587 (7.3%) were overweight only, 7332 (3%) had GDM only and 1399 (0.6%) had GDM and were overweight. Significant differences in Caesarean section rates, induction rates and birthweight were observed across the four groups. During a median follow-up of 5.3 years, diabetes incidence was 36% in the GDM and overweight, 18.8% in the GDM only, 4.8% in the overweight only and 1.1% in the reference group. With respect to hypertension and cardiovascular disease, the GDM and overweight group had the highest rates (26.8% and 3.1%, respectively) and the reference group had the lowest rates (5.8% and 1.0%, respectively). However, rates were similar in the GDM only (14.9% and 1.9%, respectively) and overweight only groups (14.9% and 1.5%, respectively). CONCLUSIONS: Not surprisingly, the presence of both high maternal weight and GDM compounds the risk of developing diabetes. However, the association between overweight alone and GDM alone and hypertension and cardiovascular disease appears similar suggesting a need for effective interventions to manage both these conditions to improve the health of these patients.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".