Cardiovascular disease risk factors in career firefighters: A 6-year follow-up study
Bibliographic record
Abstract
This study sought to investigate the evolution of cardiovascular disease (CVD) risk factors in career firefighters. A questionnaire was sent to a cohort of 233 Québec career firefighters in 2015 and 2021 to collect demographic and occupational information and the presence of CVD risk factors. Ninety-six (96) firefighters (1 female) responded to the questionnaire in 2015 and 2021. Body weight (2015: 88.3 ± 10.9, 2021: 89.6 ± 10.7 kg, p = 0.01), body mass index (2015: 27.6 ± 3.2, 2021: 28.0 ± 3.0 kg/m2, p = 0.01), number of CVD risk factors (2015: 1.1 ± 1.0, 2021: 1.3 ± 0.9 CVD risk factors, p = 0.05), and proportion of firefighters with at least 1 CVD risk factor (2015: 71, 2021: 82%, p = 0.02) increased. Overall, our results highlight an aggravation of several CVD risk factors in Québec career firefighters over the years.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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 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".