Impacto do estado nutricional materno sobre o peso ao nascer de prematuros
Bibliographic record
Abstract
Introduction: An aggravating factor of prematurity is its influence on birth weight. The present study aimed to evaluate the impact of maternal nutritional status on preterm birth weight. Methods: Cross-sectional study conducted in a maternity hospital located in Maceió-AL, with 381 dyads (puerperal and newborn) in the premature postpartum. Maternal nutritional status was assessed by body mass index (BMI) and gestational weight gain, and birth weight according to INTERGROWTH-21st. Associations were performed by Poisson regression, expressed as prevalence ratio (PR) and respective 95% confidence intervals (95% CI), considering significant p <0.05. Results: Most pregnant women had inadequate gestational weight gain and BMI, where those with excess weight (PR = 2.13; 95% CI = 1.02-1.67 and p = 0.03) and excessive weight gain (PR = 2.82; 95% CI = 1.18-2.51 and p = 0.00) had a higher risk of having premature large for gestational age (LGA) children. Conclusion: Overweight and maternal gestational weight gain influenced the birth of LGA preterm infants.
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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 | 0.001 | 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".