Large birth size, infancy growth pattern, insulin resistance and β-cell function
Bibliographic record
Abstract
OBJECTIVE: Large birth size programs an elevated risk of type 2 diabetes in adulthood, but data are absent concerning glucose metabolic health impact in infancy. We sought to determine whether the large birth size is associated with insulin resistance and β-cell function in infancy and evaluate the determinants. DESIGN AND PARTICIPANTS: In the Canadian 3D birth cohort, we conducted a nested matched (1:2) study of 70 large-for-gestational-age (LGA, birth weight >90th percentile) and 140 optimal-for-gestational-age (OGA, 25th-75th percentiles) control infants. The primary outcomes were homeostasis model assessment of insulin resistance (HOMA-IR) and beta-cell function (HOMA-β) at age 2-years. RESULTS: HOMA-IR and HOMA-β were similar in LGA and OGA infants. Adjusting for maternal and infant characteristics, decelerated growth in length during early infancy (0-3 months) was associated with a 25.8% decrease (95% confidence intervals 6.7-41.0%) in HOMA-β. During mid-infancy (3-12 months), accelerated growth in weight was associated with a 25.5% (0.35-56.9%) increase in HOMA-IR, in length with a 69.3% increase (31.4-118.0%) in HOMA-IR and a 24.5% (0.52-54.3%) increase in HOMA-β. Decelerated growth in length during late infancy (1-2 years) was associated with a 28.4% (9.5-43.4%) decrease in HOMA-IR and a 21.2% (3.9-35.4%) decrease in HOMA-β. Female sex was associated with higher HOMA-β, Caucasian ethnicity with lower HOMA-IR, and maternal smoking with lower HOMA-β. CONCLUSIONS: This study is the first to demonstrate that large birth size is not associated with insulin resistance and β-cell function in infancy but infancy growth pattern matters. Decelerated infancy growth may be detrimental to beta-cell function.
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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 | 0.001 |
| 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".