Knee‐high compression socks minimize head‐up tilt‐induced cerebral and cardiovascular responses following dynamic exercise
Bibliographic record
Abstract
In healthy individuals during a non‐exercised state, knee‐high compression socks ( CS ) may reduce the magnitude of lower limb venous pooling during orthostasis but are not effective at minimizing the incidence of pre‐syncopal symptoms. However, exaggerated reductions in cerebral blood flow velocity ( CBV ) and cardiac stroke volume ( SV ) occur during passive head‐up tilt ( HUT ) testing following dynamic exercise. It is unknown if CS can minimize post‐exercise HUT ‐induced decrements in CBV and SV in this population. To test the hypothesis that CS will attenuate the reductions in SV and CBV during 60° HUT following 60 minutes of moderate‐intensity (60% VO 2 peak) cycling exercise. Ten healthy volunteers (22.6 ± 2.1 years, 24.1 ± 2.5 kg/m 2 ) completed pre‐ and post‐exercise 15‐minute HUT tests during randomized CS and Control (no CS ) conditions. Changes in blood pressure (finger plethysmography), SV (Modelflow® method), and CBV (Transcranial Doppler) were measured during HUT and preceding supine rest periods. Pre‐exercise HUT ‐induced similar (all, P > .47) reductions in SV (Control; −23.1 ± 11.5%, CS ; −20.5 ± 10.9%) and CBV (Control; −18.1 ± 6.3%, CS ; −15.3 ± 9.0%). However, larger post‐exercise decreases in SV and CBV during HUT were observed in the Control versus CS condition. Specifically, CS attenuated the drop in SV (Control: −32.9 ± 5.6%, CS : −24.3 ± 11.6%; P = .01) and CBV (Control: −25.1 ± 5.8%, CS : −17.6 ± 7.8%; P = .02) during the post‐exercise HUT test. These results indicate that CS attenuated HUT ‐induced reductions in SV and CBV following moderate‐intensity cycling exercise and suggest that CS may be an effective countermeasure to reduce the incidence of post‐exercise syncope in vulnerable populations.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| 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".