Impact of applying different resting blood pressure cut-points to clear for maximal exercise
Bibliographic record
Abstract
OBJECTIVE: The purpose of this study was to examine the impact of applying six commonly-used and two proposed resting blood pressure (BP) cut-points to clear individuals for maximal exercise in non-clinical health, wellness, commercial fitness agencies and physically demanding occupation test sites. METHODS: Participants (n = 1670) completed the Physical Activity Readiness Questionnaire for Everyone (PAR-Q+) and had their resting BP measured. Individuals with a BP >160/90 mmHg were further screened for contraindications to exercise using the ePARMed-X+ (www.eparmedx.com), all 1670 were cleared. There were no adverse events during or post exercise. RESULTS: The percentages of participants cleared for each BP cut-point were: <130/80 mmHg (85.3%), <140/90 mmHg (93.4%), <144/90 mmHg (94.6%), <144/94 mmHg (96.3%), <150/100 mmHg (98.6%), <160/90 mmHg (95.6%), <160/94 mmHg (97.8%) and <160/100 mmHg (99.5%). Individuals who would not have been cleared without further screening were significantly older, had a higher BMI, or had a lower maximal oxygen consumption. CONCLUSIONS: Conservative or lower resting BP cut-points currently applied to clear individuals for maximal exercise provide an unnecessary barrier. For individuals categorized as low-to- moderate risk by evidence-based screening tools such as the PAR-Q+ and ePARmed-X+, we recommend a resting BP cut-point of <160/94 mmHg to clear for maximal exercise until sufficient evidence is amassed to support the increase to <160/100 mmHg.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 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".