Birth anthropometric measures, body mass index and allergic diseases in a birth cohort study (BAMSE)
Bibliographic record
Abstract
OBJECTIVE: We aimed to assess increased birth weight or birth length in relation to allergic diseases at 4 years of age, taking body mass index (BMI) at age 4 as a covariate in the adjustment. METHODS: The parents of a large prospective birth cohort answered questionnaires on environmental factors and allergic symptoms when their children were 2 months and 1, 2 and 4 years old. Perinatal data on weight and length at birth were received from the child care health centres. The children were clinically examined at 4 years of age and height and weight recorded. Blood was drawn for analysis of specific IgE antibodies to common inhalant allergens. Risk associations between birth anthropometric measures and wheeze, allergic diseases or sensitisation were estimated in multivariate logistic regression analyses (n = 2869). RESULTS: There were no clear overall associations between birth weight and allergic diseases at 4 years of age. Birth length > or =90th percentile was inversely associated with any wheeze at age 4 (adjusted OR 0.64, 95% CI 0.44 to 0.92) but was significantly associated only with late-onset wheeze (adjusted OR 0.40, 95% CI 0.21 to 0.77). No such associations were seen for persistent or transient wheeze, eczema, rhinitis or allergic sensitisation. Transient wheeze during the first 2 years of age tended to be associated with increased BMI at age 4. CONCLUSION: Increased birth weight was not associated with wheeze or allergic disease. Increased birth length may play a protective role in late-onset wheeze in early childhood.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".