Associations of Ambient Air Pollution with Chronic Obstructive Pulmonary Disease Hospitalization and Mortality
Why this work is in the frame
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Bibliographic record
Abstract
Background: Ambient air pollution has been suggested as a risk factor for chronic obstructive pulmonary disease (COPD). However, there is a lack of prospective epidemiologic studies to support this assertion. Aims: To investigate the associations of long-term exposure to elevated woodsmoke and traffic-related air pollution with the risk of COPD hospitalization and mortality. Methods: This population-based cohort study, including a 5-year exposure period and a 4-year follow-up period, was conducted in metropolitan Vancouver, Canada. All residents aged 45-85 years who resided in the study region during the exposure period and did not have known COPD were included. Residential exposures to woodsmoke and traffic-related air pollutants, including black carbon, particulate matter < 2.5 µm in aerodynamic diameter, nitrogen dioxide, and nitric oxide, were estimated using land-use regression models and integrating changes in residences during the exposure period. COPD hospitalizations and deaths during the follow-up period were identified from hospitalization and death registration databases. The data were analyzed using the Cox proportional hazards regression model. Results: A total of 467,994 subjects were included in this study. After adjustment for multiple potential confounders, an interquartile range elevation in black carbon concentrations (0.97×10–5/m, about 0.78 µg/m3 elemental carbon) was associated with a 6% (95% confidence interval, 2-10%) increase in COPD hospitalizations and a 7% (0-13%) increase in COPD mortality. Exposure to higher levels of woodsmoke pollution (tertile 3 versus tertile 1) was associated with a 15% (2-29%) increase in COPD hospitalizations. There were positive exposure-response trends for these observed associations. Conclusions: Ambient particulate air pollution, including woodsmoke and traffic-related fine particulate pollution, is associated with an increased risk of COPD hospitalization and mortality.
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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 | 0.000 | 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 | 0.000 |
| 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 it