Prepregnancy body mass index and weight change on postpartum diabetes risk among gestational diabetes women
Bibliographic record
Abstract
OBJECTIVE: To evaluate the effects of prepregnancy BMI and weight change from prepregnancy to postpartum on postpartum type 2 diabetes (T2D) risk among women with gestational diabetes (GDM). METHODS: A retrospective cohort study in 1,263 GDM women at 1-5 years after delivery was performed. Cox proportional hazards regression models were used to evaluate the association of prepregnancy BMI and weight change with T2D and prediabetes risks. RESULTS: The multivariable-adjusted hazard ratios based on different levels of prepregnancy BMI (<23, 23-24.9, 25-29.9, and ≥30 kg/m(2) ) were 1.00, 1.77, 2.35, and 6.54 (Ptrend < 0.001) for incident T2D, and 1.00, 1.46, 1.87, and 1.79 (Ptrend < 0.001) for incident prediabetes, respectively. Compared with women with stable weight (±3 kg), those with weight gain ≥7 kg had an 86% and a 32% increased risk of diabetes and prediabetes, and those with weight loss ≥3 kg had a 45% decreased risk of prediabetes. The positive associations of prepregnancy BMI with incident diabetes and prediabetes risk were persistent in women with different levels of weight change (<3 kg and ≥3 kg). CONCLUSION: Prepregnancy obesity and excessive weight gain from prepregnancy to postpartum increase postpartum diabetes and prediabetes risks among GDM women.
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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 | 0.000 |
| 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".