Maternal body mass index: Relation with infant respiratory symptoms and infections
Bibliographic record
Abstract
BACKGROUND: Maternal obesity is increasingly prevalent in many westernized countries. Many studies report associations between maternal obesity and childhood wheeze or asthma but few have considered maternal obesity in relation to respiratory infections or symptoms other than wheeze during infancy. This study assesses the relationship between maternal BMI and reported wheeze, cough and respiratory infections during the first year of life. METHODS: In 2799 mother-child pairs, we examined the relations between maternal pre-pregnancy BMI and pregnancy weight gain and reported offspring wheeze, prolonged cough, lower respiratory tract infection, croup, and ear infection before age 1 year, along with reported diarrhea or vomiting. Maternally reported paternal BMI was included in the models as a proxy for unmeasured confounding by shared familial factors. RESULTS: 1.09 (1.05-1.13), 1.09 (1.03-1.14), and 1.13 (1.07-1.20), respectively). These associations remained after adjusting for maternally reported paternal BMI. No associations were found with croup, ear infection, or diarrhea or vomiting. Pregnancy weight gain was not associated with any of the offspring symptoms or illnesses. DISCUSSION: Higher maternal BMI is associated with increased risk of wheeze, cough, and maternally reported lower respiratory tract infection in infancy. These associations were independent of maternally reported paternal BMI. These observations might be explained by intrauterine effects of maternal obesity upon respiratory or immune development.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".