The Consideration of Body Mass Index in Conjunction With VO2max Is Essential When Evaluating the Health and Wellness of Frontline Fire Suppression Personnel
Bibliographic record
Abstract
OBJECTIVES: . The purpose of this investigation was to examine the Physical Employment Standards Pass Rates (PR) among different BMI and job-related aerobic fitness (VO 2 max) categories. METHODS: Researchers examined the relationship between BMI, job-related maximum oxygen consumption (VO 2 max), and PES PR among 1,992 male and female frontline fire suppression (FFS) candidates who completed the Physical Employment Standards assessment, which qualifies as a bona fide occupational requirement. RESULTS: No relationship between BMI and PR was observed; however, there was a significant relationship between VO 2 max and %PR and between BMI coupled with VO 2 max and %PR. This suggests that BMI should be considered in conjunction with VO 2 max when evaluating the health and wellness of FFS workers. CONCLUSIONS: Wellness and training programs for FFS workers should prioritize VO 2 max, musculoskeletal fitness, and maintaining or improving lean mass. This applies to various emergency-related, physically demanding occupations.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".