TRAFFIC-RELATED AIR POLLUTION AND ACUTE CHANGES IN HEART RATE VARIABILITY AND RESPIRATORY FUNCTION IN URBAN CYCLISTS
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Background and Aims: Few studies have examined the acute health effects of air pollution exposures experienced while cycling in traffic. The aim of this study was to examine the relationship between traffic-related air pollutants and acute changes in heart rate variability, lung function, and exhaled NO in healthy cyclists. Methods: Forty-two healthy adults (19 to 58 years of age) cycled for 1-hour on high and low-traffic routes as well as indoors. Ultrafine particles (UFPs) (<0.1 um), PM2.5, black carbon, and volatile organic compounds were measured along each cycling route and ambient NO2, SO2, and O3 levels were recorded from a fixed-site monitor. Mixed-effects models were used to examine the relationship between air pollution exposures and changes in baseline health measures adjusted for potential confounders. Results: An inter-quartile range increase in UFP levels was associated with a 220 ms decrease (95% confidence interval: -386, -53) (approximately 35 %) in high frequency power 4-hours after the start of cycling. Significant inverse relationships were also observed between NO2 and the ratio of low-frequency to high-frequency power and between O3, root mean square of successive differences in adjacent NN intervals (RMSSD), and percentage of adjacent NN intervals differing by more than 50 ms (pNN50). Acute changes in respiratory outcomes were not consistently associated with air pollution levels. Conclusions: Exposure to traffic-related air pollution may contribute to decreased parasympathetic modulation of the heart in the hours immediately following cycling.
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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 | 0.002 | 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 | 0.000 |
| 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 it