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Record W4388568987 · doi:10.1161/jaha.123.031532

Effect of High‐Intensity Interval Training and Moderate‐Intensity Continuous Training in People With Poststroke Gait Dysfunction: A Randomized Clinical Trial

2023· article· en· W4388568987 on OpenAlexafffund
Susan Marzolini, Andrew D. Robertson, Bradley J. MacIntosh, Dale Corbett, Nicole D. Anderson, Dina Brooks, Noah Koblinsky, Paul Oh

Bibliographic record

VenueJournal of the American Heart Association · 2023
Typearticle
Languageen
FieldMedicine
TopicCardiovascular and exercise physiology
Canadian institutionsMcMaster UniversityBaycrest HospitalUniversity of OttawaSunnybrook Health Science CentreUniversity of WaterlooToronto Rehabilitation InstituteUniversity of TorontoUniversity Health Network
FundersHeart and Stroke Foundation of Canada
KeywordsMedicineHigh-intensity interval trainingRandomized controlled trialPhysical medicine and rehabilitationPhysical therapyIntensity (physics)Stroke (engine)GaitTraining (meteorology)Interval trainingInternal medicine

Abstract

fetched live from OpenAlex

Background The exercise strategy that yields the greatest improvement in both cardiorespiratory fitness ( <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" overflow="scroll"> <mml:semantics> <mml:mrow> <mml:mover accent="true"> <mml:mi mathvariant="normal">V</mml:mi> <mml:mo>̇</mml:mo> </mml:mover> <mml:msub> <mml:mi mathvariant="normal">O</mml:mi> <mml:mrow> <mml:mn>2</mml:mn> <mml:mtext>peak</mml:mtext> </mml:mrow> </mml:msub> </mml:mrow> <mml:annotation encoding="application/x-tex">$$ \dot{\mathrm{V}}{\mathrm{O}}_{2\mathrm{peak}} $$</mml:annotation> </mml:semantics> </mml:math> ) and walking capacity poststroke has not been determined. This study aimed to determine whether conventional moderate‐intensity continuous training (MICT) or high‐intensity interval training (HIIT) have different effects on <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" overflow="scroll"> <mml:semantics> <mml:mrow> <mml:mover accent="true"> <mml:mi mathvariant="normal">V</mml:mi> <mml:mo>̇</mml:mo> </mml:mover> <mml:msub> <mml:mi mathvariant="normal">O</mml:mi> <mml:mrow> <mml:mn>2</mml:mn> <mml:mtext>peak</mml:mtext> </mml:mrow> </mml:msub> </mml:mrow> <mml:annotation encoding="application/x-tex">$$ \dot{\mathrm{V}}{\mathrm{O}}_{2\mathrm{peak}} $$</mml:annotation> </mml:semantics> </mml:math> and 6‐minute walk distance (6MWD). Methods and Results In this 24‐week superiority trial, people with poststroke gait dysfunction were randomized to MICT (5 days/week) or HIIT (3 days/week with 2 days/week of MICT). MICT trained to target intensity at the ventilatory anaerobic threshold. HIIT trained at the maximal tolerable treadmill speed/grade using a novel program of 2 work‐to‐recovery protocols: 30:60 and 120:180 seconds. V̇O 2 and heart rate was measured during performance of the exercise that was prescribed at 8 and 24 weeks for treatment fidelity. Main outcomes were change in <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" overflow="scroll"> <mml:semantics> <mml:mrow> <mml:mover accent="true"> <mml:mi mathvariant="normal">V</mml:mi> <mml:mo>̇</mml:mo> </mml:mover> <mml:msub> <mml:mi mathvariant="normal">O</mml:mi> <mml:mrow> <mml:mn>2</mml:mn> <mml:mtext>peak</mml:mtext> </mml:mrow> </mml:msub> </mml:mrow> <mml:annotation encoding="application/x-tex">$$ \dot{\mathrm{V}}{\mathrm{O}}_{2\mathrm{peak}} $$</mml:annotation> </mml:semantics> </mml:math> and 6MWD. Assessors were blinded to the treatment group for <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" overflow="scroll"> <mml:semantics> <mml:mrow> <mml:mover accent="true"> <mml:mi mathvariant="normal">V</mml:mi> <mml:mo>̇</mml:mo> </mml:mover> <mml:msub> <mml:mi mathvariant="normal">O</mml:mi> <mml:mrow> <mml:mn>2</mml:mn> <mml:mtext>peak</mml:mtext> </mml:mrow> </mml:msub> </mml:mrow> <mml:annotation encoding="application/x-tex">$$ \dot{\mathrm{V}}{\mathrm{O}}_{2\mathrm{peak}} $$</mml:annotation> </mml:semantics> </mml:math> but not 6MWD. Secondary outcomes were change in ventilatory anaerobic threshold, cognition, gait‐economy, 10‐meter gait‐velocity, balance, stair‐climb performance, strength, and quality‐of‐life. Among 47 participants randomized to either MICT (n=23) or HIIT (n=24) (mean age, 62±11 years; 81% men), 96% completed training. In intention‐to‐treat analysis, change in <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" overflow="scroll"> <mml:semantics> <mml:mrow> <mml:mover accent="true"> <mml:mi mathvariant="normal">V</mml:mi> <mml:mo>̇</mml:mo> </mml:mover> <mml:msub> <mml:mi mathvariant="normal">O</mml:mi> <mml:mrow> <mml:mn>2</mml:mn> <mml:mtext>peak</mml:mtext> </mml:mrow> </mml:msub> </mml:mrow> <mml:annotation encoding="application/x-tex">$$ \dot{\mathrm{V}}{\mathrm{O}}_{2\mathrm{peak}} $$</mml:annotation> </mml:semantics> </mml:math> for MICT versus HIIT was 2.4±2.7 versus 5.7±3.1 mL·kg −1 ·min −1 (mean difference, 3.2 [95% CI, 1.5–4.8]; P &lt;0.001), and change in 6MWD was 70.9±44.3 versus 83.4±53.6 m (mean difference, 12.5 [95% CI, −17 to 42]; P =0.401). HIIT had greater improvement in ventilatory anaerobic threshold (mean difference, 2.07 mL·kg −1 ·min −1 [95% CI, 0.59–3.6]; P =0.008). No other between‐group differences were observed. During V̇O 2 monitoring at 8 and 24 weeks, MICT reached 84±14% to 87±18% of <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" overflow="scroll"> <mml:semantics> <mml:mrow> <mml:mover accent="true"> <mml:mi mathvariant="normal">V</mml:mi> <mml:mo>̇</mml:mo> </mml:mover> <mml:msub> <mml:mi mathvariant="normal">O</mml:mi> <mml:mrow> <mml:mn>2</mml:mn> <mml:mtext>peak</mml:mtext> </mml:mrow> </mml:msub> </mml:mrow> <mml:annotation encoding="application/x-tex">$$ \dot{\mathrm{V}}{\mathrm{O}}_{2\mathrm{peak}} $$</mml:annotation> </mml:semantics> </mml:math> while HIIT reached 101±22% to 112±14% of <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" overflow="scroll"> <mml:semantics> <mml:mrow> <mml:mover accent="true"> <mml:mi mathvariant="normal">V</mml:mi> <mml:mo>̇</mml:mo> </mml:mover> <mml:msub> <mml:mi mathvariant="normal">O</mml:mi> <mml:mrow> <mml:mn>2</mml:mn> <mml:mtext>peak</mml:mtext> </mml:mrow> </mml:msub> </mml:mrow> <mml:annotation encoding="application/x-tex">$$ \dot{\mathrm{V}}{\mathrm{O}}_{2\mathrm{peak}} $$</mml:annotation> </mml:semantics> </mml:math> (during peak bouts). Conclusions HIIT resulted in more than a 2‐fold greater and clinically important change in <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" overflow="scroll"> <mml:semantics> <mml:mrow> <mml:mover accent="true"> <mml:mi mathvariant="normal">V</mml:mi> <mml:mo>̇</mml:mo> </mml:mover> <mml:msub> <mml:mi mathvariant="normal">O</mml:mi> <mml:mrow> <mml:mn>2</mml:mn> <mml:mtext>peak</mml:mtext> </mml:mrow> </mml:msub> </mml:mrow> <mml:annotation encoding="application/x-tex">$$ \dot{\mathrm{V}}{\mathrm{O}}_{2\mathrm{peak}} $$</mml:annotation> </mml:semantics> </mml:math> than MICT. Training to target (ventilatory anaerobic threshold) during MICT resulted in ~3 times the minimal clini

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.009
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.562
Threshold uncertainty score0.526

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0040.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.020
GPT teacher head0.303
Teacher spread0.283 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designRandomized trial
Domainnot available
GenreEmpirical

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".

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Citations33
Published2023
Admission routes2
Has abstractyes

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