Antepartum determinants of rapid early‐life weight gain in term infants born to women with and without gestational diabetes
Bibliographic record
Abstract
OBJECTIVE: Rapid weight gain in the first 3 months of life has been associated with an unfavourable cardio-metabolic phenotype in adulthood. However, little is known about the antepartum determinants of this rapid weight gain, which may reflect key developmental exposures that program metabolic pathways. Thus, we sought to characterize the antepartum determinants of rapid weight gain in the first 3 months of life in infants exposed to gestational diabetes mellitus (GDM), a patient population at risk for early cardio-metabolic disease. DESIGN: Prospective observational cohort study. PATIENTS: Pregnant women with (n = 90) and without GDM (n = 250) underwent detailed antepartum metabolic characterization, followed by assessment of their term offspring at age 3 months. MEASUREMENTS: Rapid infant weight gain in the first 3 months was defined as weight gain ≥ 0·5 SD. RESULTS: No features of maternal metabolic function in pregnancy (including insulin sensitivity, lipid profile, adiponectin, leptin and C-reactive protein) were associated with infant weight gain in either the GDM or non-GDM group. Interestingly, although all infants were born at term (≥37 weeks), length of gestation was inversely associated with weight gain at 3 months in the infants of women with GDM (β = -148·5, P = 0·01). In these infants, length of gestation <39 weeks was an independent predictor of rapid weight gain (OR = 7·9, 95%CI 1·7-38, P = 0·009) in the fully adjusted model. These associations were not observed in infants of women without GDM. CONCLUSIONS: Delivery before 39 weeks is independently associated with rapid weight gain in the first 3 months of life in term infants of women with GDM and hence may be an antepartum marker of future cardio-metabolic risk.
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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".