Flow-Mediated Dilation Is Acutely Improved after High-Intensity Interval Exercise
Bibliographic record
Abstract
PURPOSE: Cardiovascular disease is characterized by decreased endothelial function. Chronic exercise training improves endothelial function in individuals with cardiovascular diseases; however, the acute endothelial responses to a single bout of exercise are not consistent in the literature. This study investigated whether a single bout of moderate-intensity endurance exercise (END) and low-volume high-intensity interval exercise (HIT) on a cycle ergometer resulted in similar acute changes in endothelial function. METHODS: Ten individuals (66 ± 11 yr) with coronary artery disease (CAD) participated in two exercise sessions (END and HIT). Endothelial-dependent function was assessed using brachial artery flow-mediated dilation (FMD) preexercise and 60 min postexercise. Brachial artery diameters and velocities were determined using Doppler ultrasound before and after a 5 min ischemic period at all time points. Endothelial-independent function was assessed using a 0.4-mg sublingual dose of nitroglycerin. RESULTS: The total work performed was higher in END (166 ± 52 kJ) compared with HIT (93 ± 28 kJ) exercise (P < 0.001). Endothelial-dependent function improved (P = 0.01) after END (absolute FMD preexercise, 0.24 ± 0.18 mm; postexercise, 0.31 ± 0.24 mm) and HIT (absolute FMD preexercise, 0.25 ± 0.13 mm; postexercise, 0.29 ± 0.13 mm), with no differences between exercise conditions. A time effect for FMD normalized to the shear rate area under the curve was also observed (P = 0.02) after END (preexercise, 0.005 ± 0.004; postexercise, 0.010 ± 0.011) and HIT (preexercise, 0.005 ± 0.004; postexercise, 0.009 ± 0.011). Endothelial-independent function responses were unchanged after END and HIT (P > 0.05). CONCLUSIONS: HIT and END resulted in similar acute increases in brachial artery endothelial-dependent function in a population with dysfunction at rest, despite the difference in exercise intensities.
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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) | 0.002 | 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".