Association Between Ozone and Respiratory Admissions Among Children and the Elderly in Vancouver, Canada
Bibliographic record
Abstract
In this study, we examine the impact of ozone on daily respiratory admissions in both young children and the elderly in greater Vancouver, British Columbia. Study subjects included children less than 3 yr of age and adults 65 yr of age or over living in greater Vancouver who had acute hospital admissions for any respiratory diseases (ICD-9 codes 460-519) during the 13-yr period 1986-1998. Bidirectional case-crossover analysis was used to investigate associations between ambient ozone and respiratory hospitalizations after adjustment for other pollutants, including carbon monoxide, nitrogen dioxide, sulfur dioxide, and coefficient of haze. Potential effect modification by socioeconomic status as measured by household income was also examined. Respiratory admissions were associated with ozone levels 2, 3, 4, and 5 days prior to admission in both children and the elderly, with the strongest association observed at a lag of 4 days. Odds ratios for hospital admission of 1.22 (95% CI: 1.15-1.30) for children and 1.13 (1.09-1.18) for the elderly, respectively, were found, based on an increment in exposure corresponding to the interquartile range for ozone. Adjusting for other pollutants did not attenuate the ozone effect on respiratory admissions. Nor did socioeconomic status appear to modify the association between ozone and respiratory admissions in either children or the elderly. We concluded that ambient ozone is positively associated with respiratory hospital admission among young children and the elderly in Vancouver, British Columbia. These associations persisted after adjustment for both copollutant exposures and socioeconomic status.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".