Effects of two entrainment patterns on performance of female novice rowers
Bibliographic record
Abstract
Objectives: Rowers who entrain breathing frequency to stroke rate do so in either a 1:1 or 2:1 pattern. The purpose of this study was to investigate the performance and physiological difference that occurs between the practice of these two patterns of breathing. Methods: Fifteen novice female rowers (age =19.7 ± 1.6 yr.; body mass = 70.9 ±6.3 kg; height = 174.4 ±4.4 cm) were randomly assigned to complete a 2000 meter rowing ergometer test alternatively using each breathing pattern one week apart. Expired gases and breathing frequencies were measured using a Medical Graphics CPX‐D metabolic system. Heart rate (fc) was recorded using direct lead ECG. Stroke rate was obtained from the Concept II Ergometer. Results: Repeated measures MANOVA determined that when the breathing frequency was 2 breaths per stroke (2:1 versus 1:1), the time to complete the test was significantly shorter (490 ± 24.8 vs. 514 ± 11.3 s, p ≤ 0.05) and power output was greater (203.4 ± 21.5 vs. 184.5 ± 20.4 W, p ≤ 0.05). Oxygen uptake during each test did not differ significantly (2:1 = 2.7 ± 0.2; 1:1 = 2.5 ± 0.4 L/min, p > 0.05) despite an increased heart rate during the 2:1 trial (186.5 ± 8.9 vs. 175.7 ± 17.0 bpm, p = ≤ 0.05). The end tidal carbon dioxide tension (PETCO2) and tidal volume values were significantly lower during the 2:1 vs. the 1:1 condition (35.8±3.3vs. 45.1±3.4mmHg, p ≤ 0.05) and (2.1±0.3vs. 2.6 ± 0.3 L, p ≤ 0.05) respectively. Conclusion: Entrainment at 2 breaths per stroke results in a significant improvement in performance during a standard 2000 m rowing ergometer test compared to a 1:1 pattern of breathing. Entrainment of one breath per stroke leads to carbon dioxide retention, which may result in respiratory acidosis and a negative impact on performance.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.003 |
| 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".