Maternal insulin resistance and maternal β‐cell function during pregnancy for offspring overweight before 2 years of age among women with gestational diabetes
Bibliographic record
Abstract
OBJECTIVE: To explore associations of maternal insulin resistance and β-cell dysfunction with offspring overweight before 24 months of age among children of Chinese women with gestational diabetes mellitus (GDM). METHODS: Offspring of women with GDM (n = 901) who were enrolled in a lifestyle trial during pregnancy were followed up to 24 months of age in Tianjin, China. Restricted cubic spline analysis was performed to examine full-range associations of maternal homeostatic model assessment of insulin resistance (HOMA-IR) and β-cell function (HOMA-%β) with childhood overweight. Logistic regression was performed to obtain the odds ratios (ORs) and 95% confidence interval (CI) of maternal high HOMA-IR and low HOMA-%β at diagnosis of GDM for offspring overweight within 12 months of age and at 13-24 months of age. RESULTS: Maternal high HOMA-IR was associated with an increased risk of offspring being overweight within 12 months of age and at 13-24 months of age (OR: 1.71, 95%CI: 1.12-2.62 & 1.89, 1.13-3.17, respectively). Maternal low HOMA-%β was associated with an increased risk of offspring being overweight at 13-24 months of age (1.64, 1.05-2.55). CONCLUSIONS: Both maternal increased insulin resistance and decreased β-cell function at diagnosis of GDM were associated with elevated risk of offspring overweight in early childhood among Chinese women with GDM.
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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".