Effectiveness of High‐Intensity Interval Training for Fitness and Mobility Post Stroke: A Systematic Review
Why this work is in the frame
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Bibliographic record
Abstract
OBJECTIVE: To evaluate the evidence on the effectiveness of high-intensity interval training (HIIT) in improving fitness and mobility post stroke. TYPE: Systematic review. LITERATURE SURVEY: Medline, Embase, CINAHL, PsycINFO, and Scopus were searched for articles published in English up to January 2018. METHODOLOGY: Studies were included if the sample was adult human participants with stroke, the sample size was ≥3, and participants received >1 session of HIIT. Study and participant characteristics, treatment protocols, and results were extracted. SYNTHESIS: Six studies with a total of 140 participants met inclusion criteria: three randomized controlled trials and three pre-post studies. HIIT protocols ranged 20 to 30 minutes per session, 2 to 5 times per week, and 2 to 8 weeks in total. HIIT was delivered on a treadmill in five studies and a stationary bicycle in one study. Regarding fitness measures, HIIT produced significant improvements in peak oxygen consumption compared to baseline, but the effect was not significant compared to moderate intensity continuous exercise (MICE). Regarding mobility measures, HIIT produced significant improvements on the 10-Meter Walk Test (10MWT), 6-Minute Walk Test (6MWT), Berg Balance Scale (BBS), Functional Ambulation Categories (FAC), Timed Up and Go Test, and Rivermead Motor Assessment compared to baseline. The effect of HIIT was significant compared to MICE on the 10MWT and FAC but not on the 6MWT or BBS. CONCLUSIONS: There is preliminary evidence that HIIT may be an effective rehabilitation intervention for improving some aspects of cardiorespiratory fitness and mobility post stroke. LEVEL OF EVIDENCE: I.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.007 | 0.001 |
| 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) | 0.000 | 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 it