Effects of High-Intensity Interval Exercise and Training on Hemostasis in Healthy Males
Bibliographic record
Abstract
Vigorous aerobic exercise affects intravascular coagulation, shifting the hemostatic balance towards pro-coagulant activity. Increased sympathetic nervous system (SNS) activity during exercise with enhanced plasma catecholamine concentrations may transiently elevate the risk of acute thrombosis. The acute effects of high-intensity interval exercise (HIE) on pro- versus anti-coagulant balance is unknown, as are the effects of short-term HIE training. PURPOSE: To examine the effects of acute HIE and short-term HIE training on coagulant activity and its potential relationship to SNS activity. METHODS: Sixteen healthy males performed acute HIE and a subset of 8 males underwent 2 weeks of HIE training. Serial blood samples during HIE were collected at rest before HIE (Baseline), immediately after HIE (Post-EX1), after a 1-hour recovery (Post-EX2), and at rest after completing 6 HIE training sessions performed over 2 weeks (Post-TR). Classical thromboelastography (TEG®) and rotational thromboelastometry (ROTEM®) evaluated coagulation initiation (CI) time, enzyme-linked immunosorbent assay (ELISA) quantified plasma epinephrine (E) and norepinephrine (NE). Changes in CI time and catecholamine levels were assessed by independent one-way repeated measures ANOVA. Potential interrelationships between coagulation and SNS activity were examined using Pearson’s correlation. RESULTS: Acute HIE accelerated CI time in TEG by +24% (P=0.004) at Post-EX1 and +39% at Post-EX2 (P<0.001), whereas ROTEM showed increases of +12% (P=0.036) and +19% (P=0.003), respectively. HIE training significantly diminished post-HIE accelerations (ROTEM) in CI time, with a lengthened CI time at Post-EX2 as compared with pre-training values (P=0.003). Plasma E (P=0.021) and NE (P=0.003) were elevated during acute HIE at Post-EX1 and their relationship with CI time was assessed. After training, plasma E (P=0.292) and NE (P=0.105) were no longer elevated significantly Post-EX1 and E showed a strong inverse correlation to corresponding ROTEM CI time acceleration (P=0.011). CONCLUSIONS: HIE shifts the balance towards a pro-coagulant response in association with enhanced SNS activity. HIE training slows the rate of coagulation during acute HIE. These data suggest that HIE training can attenuate pro-coagulant mechanisms and may reduce the risk for a thrombotic event during acute vigorous exercise.
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 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 | 0.000 | 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 | 0.000 | 0.000 |
| 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 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".