P2-117 The hypertriglyceridemic-waist phenotype and weight gain in childhood
Bibliographic record
Abstract
Evidence suggests that the hypertriglyceridemic-waist phenotype is related to the occurrence of cardiovascular metabolic risk factors. This study was aimed at assessing the relationship between weight in childhood and the presence of hypertriglyceridemic-waist phenotype. The 1982 Pelotas birth cohort included 5914 children who were born in three maternities in Pelotas, southern Brazil. The subjects have been followed-up for several times. In 2004–2005 (mean age 23 years), we attempted to trace the whole cohort and obtain blood samples. Conditional growth modelling was used to assess the association between the phenotype and weight gain from birth to 20, and from 20 to 42 months. Adjusted analyses controlled for household assets index, family income, maternal schooling at birth, maternal smoking during pregnancy, and breastfeeding duration. In 2004–2005, we interviewed 4297 subjects, and collected blood of 3911. Among small-for-gestational age subjects, weight gain in the first 20 months was not associated with the phenotype. But, those subjects whose weight gain from 20 to 42 months of age was faster than that predicted from birthweight and weight-for-age z-score at mean age of 20 months had a higher risk of presenting the phenotype [1.73 (95% CI 1.15 to 2.79)]. Among subjects whose birthweight was adequate-for-gestational age weight gain in childhood increased the risk of having the phenotype. These findings suggest that among small-for-gestational age infants, early weight gain is not related to the presence of metabolic cardiovascular risk factors.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.010 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".