The Association Between Maternal Preconception BMI and Early Childhood Nutrition
Bibliographic record
Abstract
Background: It is unknown if maternal preconception BMI is associated with nutritional risk factors in early childhood and whether total breastfeeding duration plays a mediating role. Methods: Children ages 18 months to 5 years were recruited from TARGet Kids!, a primary care practice-based research network in Canada. Linear mixed effects models were fitted to analyze associations between maternal preconception BMI and child nutritional risk (measured through the NutriSTEP®), and mediation analyses were completed to investigate if total breastfeeding duration played a mediating role. Results: This study included 4733 children with 8611 observations. Each 1 unit increase in maternal preconception BMI was associated with a 0.09 increase in nutritional risk (95% CI 0.05, 0.12, p= <0.001), where 13.2% (95% CI: 7.1, 21.2) of the association was mediated through total breastfeeding duration. Conclusion: Higher maternal preconception BMI was associated with higher child nutritional risk, which was partially mediated by total breastfeeding duration.
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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) | 0.003 | 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".