The Association between Maternal and Paternal Preconception BMI and Child zBMI Growth Rates
Bibliographic record
Abstract
Background: The association between parental preconception BMI and childhood growth is unclear.Objectives: 1) To assess the association between maternal preconception BMI and child age- and sex-standardized WHO BMI z-score (zBMI) growth rates and mean zBMI in 0–10-year-olds. 2) To examine these associations in fathers. Methods: Piecewise linear mixed models were used to determine the association between maternal preconception BMI and child zBMI growth rates. Linear mixed effect models were performed to assess associations with mean zBMI. Associations with paternal preconception BMI were explored using similar methods. Results: Maternal preconception BMI was associated with mean child zBMI, and zBMI growth rate from 0-4 and 30-60 months. Accounting for maternal weight status, paternal preconception BMI was associated with mean zBMI in boys, and zBMI growth rates in boys of mothers with preconception overweight. Conclusions: The preconception period may be an important focus of early intervention to address child zBMI outcomes.
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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 | 0.001 | 0.004 |
| 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) | 0.004 | 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 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".