Physiological Benefits of High-intensity Interval Training for Individuals With Parkinson's Disease
Bibliographic record
Abstract
This thesis investigated the effects of high intensity interval training (HIIT) and continuous moderate intensity training (CMIT) on maximal exercise capacity (VO2max), resting and exercising hemodynamics, and clinical symptoms in eighteen men and women with Parkinson’s Disease. Participants were randomized to HIIT (n=9), or CMIT (n=9) groups and completed two pre-training visits. Participants completed clinical questionnaires and performed a progressive exercise test to determine VO2max. Measurements of arterial stiffness and wave reflection characteristics were recorded. Continuous hemodynamic measurements were recorded during a 2-minute isometric handgrip contraction followed by 3-minutes of post-exercise circulatory occlusion. Participants then completed 10 weeks (3x/week; 1 hour/session) of HIIT or CMIT at the Guelph YMCA followed by the same two days of post-testing. HIIT provided clinically relevant improvements in VO2max, UPDRS part III, and BDI-II scores which were greater compared to CMIT. Both exercise protocols provided no improvements in fatigue and resting or exercising hemodynamics.
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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".