Small‐for‐gestational‐age and predictors of HOMA indices, leptin and adiponectin in infancy
Bibliographic record
Abstract
AIM: To assess whether small-for-gestational-age (SGA) - an indicator of poor fetal growth, may affect metabolic health biomarkers in infancy and explore the predictors. METHODS: This was a nested matched (1:2) prospective observational study of 65 SGA (birth weight < 10th percentile) and 130 optimal-for-gestational-age (OGA, birth weight 25th-75th percentiles, control) infants in the 3D birth cohort with subjects recruited in Canada from 1 May 2010 to 31 August 2012. The outcomes included homeostasis model assessment of insulin resistance (HOMA-IR) and beta-cell function (HOMA-β), circulating leptin and adiponectin concentrations at age 2 years. RESULTS: HOMA-IR, HOMA-β, leptin and adiponectin concentrations were similar in SGA versus OGA infants. Female sex and accelerated growth in length during mid-infancy (3-12 months) were associated with higher HOMA-IR. Caucasian ethnicity and decelerated growth in weight during late infancy (12-24 months) were associated with lower HOMA-IR. Current BMI was positively associated with circulating adiponectin in SGA infants only (+13.4% [4.0%-23.7%] per BMI z score increment). CONCLUSION: Insulin resistance and secretion, circulating leptin and adiponectin levels were normal in SGA subjects in infancy at age 2 years. The novel observation in SGA-specific positive association between current BMI and circulating adiponectin suggests dysfunctional adiposity-adiponectin negative feedback loop development during infancy in SGA subjects.
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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".