Cardiorespiratory Fitness of Police Recruits: Normative Reference Values and Temporal Trend
Bibliographic record
Abstract
ABSTRACT: Poirier, S, Houle, J, Lajoie, C, and Trudeau, F. Cardiorespiratory fitness of police recruits: normative reference values and temporal trend. J Strength Cond Res 37(1): 207-212, 2023-Several studies have highlighted the increased risk of cardiovascular diseases (CVDs) among police officers. Given the longitudinal association between cardiorespiratory fitness (CRF) in early adulthood and later appearance of CVD, the identification of police recruits exhibiting lower CRF could allow the implementation of targeted CVD prevention strategies. Unfortunately, norm-referenced values for the CRF of Canadian police recruits are not yet available. Thus, this research aimed to provide norm-referenced values for the CRF of police recruits in the province of Quebec (Canada) and to evaluate the temporal trend in the CRF of police recruits over a 14-year period. First, a model was developed to estimate maximal oxygen consumption (V̇O2max) based on the results of the physical ability test (PAT) used for the recruitment of police officers in Quebec. Based on the previously developed model, the CRF of police recruits who completed the PAT from 2004 to 2017 was retrospectively assessed using administrative records. The analysis of 7,234 PAT results including 2,150 females (29.7%) and 5,084 males (70.3%) suggests that police recruits generally present high levels of CRF with an average estimated V̇O2max of 53.3 ml·min-1·kg-1 for males and 43.8 ml·min-1·kg-1 for females. Furthermore, our analyses showed significant but small positive correlations between estimated V̇O2max and time periods of PAT performance for male (rs = 0.105, p < 0.001) and female recruits (rs = 0.125, p < 0.001). Overall, our results suggest that the CRF of police recruits in Quebec is considerably higher than that of their North American peers.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.005 | 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 | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".