The effect of sprint interval training on non-invasively determined peak cardiac output and the role of biological sex
Bibliographic record
Abstract
Sprint interval training (SIT) increases peak oxygen uptake (VO2peak) but the mechanistic basis is unclear. The Fick principle broadly attributes increases in VO2peak to changes in peak cardiac output (Qpeak) and/or peak arteriovenous oxygen difference (peak a-vO2diff). The main purpose of this thesis was to investigate the role of Qpeak, measured non-invasively using inert gas rebreathing (IGR), on SIT-induced changes in VO2peak. It also considered the time course of these responses and the influence of biological sex. The SIT protocol involved 3 x 20-s “all out” sprints performed within a 10-min session of low-intensity cycling. Study 1 measured Qpeak after 2, 6, and 12 weeks of SIT and found it was increased after 12 weeks and associated with the change in VO2peak. Peak a-vO2diff, estimated based on the Fick equation (peak a-vO2diff = VO2peak/Qpeak), was also increased after SIT and associated with the change in VO2peak. Study 2 found that a novel constant-load protocol elicited Qpeak values that were non-inferior to an established step protocol, within a margin of 0.5 L/min. Both protocols elicited VO2 values at Qpeak that were similar to VO2peak. The constant load protocol had similar day-to-day repeatability as the VO2peak test (typical error = 6.6 and 6.4%, respectively). Study 3 investigated an exploratory finding from Study 1 that suggested Qpeak was increased in male but not female participants. The design was similar, but Study 3 employed suggested best practices for making sex-based comparisons. Contrary to our hypothesis, Qpeak was unchanged after 12 weeks of SIT and there was no sex-based difference. Like Study 1, peak a-vO2diff was increased and correlated with VO2peak. This thesis advances knowledge regarding the influence of SIT on Qpeak determined non-invasively and highlights the need for more mechanistic work to comprehensively assess the basis for the increase in VO2peak.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".