Continued Exposure to Maternal Distress in Early Life Is Associated with an Increased Risk of Childhood Asthma
Bibliographic record
Abstract
RATIONALE: Evidence is emerging that exposure to maternal distress in early life plays a causal role in the development of childhood asthma. OBJECTIVES: Because much of the data are from high-risk cohorts, we undertook a birth cohort study in a complete population of children to test this association. METHODS: Using Manitoba, Canada's, health care and prescription databases, this longitudinal study assessed the association between maternal distress during the first year of life and onward, and asthma at age 7 in a 1995 birth cohort of 13,907 children. MEASUREMENTS AND MAIN RESULTS: Maternal distress was defined on the basis of health care or prescription medication use for depression or anxiety. Asthma status was derived from health care and prescription records for asthma, using a definition validated by comparison to pediatric allergist diagnosis. Multiple logistic regression was used to determine the likelihood of asthma (odds ratio [OR], 95% confidence interval [95% CI]). Independent of well-known asthma risk factors, our population-based study of a non-high-risk cohort demonstrated an increased risk of childhood asthma (OR, 1.25; 95% CI, 1.01-1.55) among children exposed to continued maternal distress from birth until age 7. Exposure to maternal depression and anxiety limited to the first year of life did not have a demonstrable association with subsequent asthma. Of interest, we observed that the risk of asthma associated with continued maternal distress was increased in children living in high- versus low-income households (OR, 1.44; 95% CI, 1.12-1.85). CONCLUSIONS: Maternal distress in early life plays a role in the development of childhood asthma, especially if it continues beyond the postpartum period.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".