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Is High-intensity Stair Climbing An Effective Alternative To Traditional Cardiac Rehabilitation Exercise?

2020· article· en· W3040694017 on OpenAlexaff
Emily C. Dunford, Sydney E. Valentino, Jonathan Dubberley, Sara Y. Oikawa, Christopher McGlory, Eva Lonn, Mary E. Jung, Martin J. Gibala, Stuart M. Phillips, Maureen J. MacDonald

Bibliographic record

VenueMedicine & Science in Sports & Exercise · 2020
Typearticle
Languageen
FieldMedicine
TopicCardiac Health and Mental Health
Canadian institutionsOkanagan University CollegeUniversity of British Columbia, Okanagan CampusUniversity of British ColumbiaHamilton Health SciencesMcMaster University
Fundersnot available
KeywordsStair climbingMedicinePhysical therapyAerobic exerciseRehabilitationHigh-intensity interval trainingInterval trainingIntensity (physics)Coronary artery diseaseExercise intensityStairsExercise physiologyPhysical medicine and rehabilitationHeart rateCardiologyInternal medicineBlood pressure

Abstract

fetched live from OpenAlex

Engagement in exercise-based cardiac rehabilitation following cardiac procedures reduces the risk of secondary coronary artery disease (CAD) events. Interval training can be a time-efficient and effective alternative to traditional moderate-intensity exercise in cardiac rehabilitation programming, and an accessible way to deliver interval training is through stair climbing. PURPOSE: To assess the feasibility and effectiveness of high-intensity interval training intervention, using stair climbing as the modality, in standard cardiac rehabilitation care. METHODS: Twenty participants with CAD (61±7 y, 18M/2W) were randomly assigned to one of two exercise programs: traditional moderate-intensity exercise (TRAD) or high-intensity interval stair climbing (STAIR). VO2peak was assessed at baseline, one month and three months after exercise initiation. Exercise was completed two times/week for one month under clinical supervision, and three times/week for two months unsupervised. Each participant completed sessions of either an accumulation of 45 min at 80 %HRpeak (TRAD) or 3 bouts of 6 flights of 12 stairs at a self-selected vigorous intensity (~90s/bout) separated by recovery periods of walking (~90s) (STAIR). RESULTS: Eighteen participants (90%) completed the intervention without any adverse events. Following one month of supervised exercise, the STAIR versus TRAD group achieved a higher peak HR 131±9 vs.111±13bpm (p=0.002, means±SD), and exercise intensity 106±11 vs.89±1%HRpeak, across a shorter time 3.1±0.8 vs. 36.7±5.5 min (p<0.001). Peak VO2 increased in both TRAD and STAIR, (23±3 to 25±4 and 21±5 to 24±6 mL/kg/min) respectively (p=0.03). Additional unsupervised training (2mo), the STAIR group achieved a higher peak HR, 126±13 vs.111±9 bpm (p=0.018) and less time at prescribed intensity 6.5±3.9 vs. 24.2±17 min (p=0.012), when compared to the TRAD group. There was no difference in exercise intensity 96±8 vs. 87±8 %HRpeak (p=0.055) or adherence 3.0±3.2 vs. 3.2±2.2 (p=0.70) exercise sessions/week, between the STAIR and TRAD groups. CONCLUSIONS: High-intensity interval training using stair climbing as the modality, is safe and effective within cardiac rehabilitation programming.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.005
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0050.000

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 head0.028
GPT teacher head0.333
Teacher spread0.305 · 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 source (direct Gemma or distilled Codex), 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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Citations1
Published2020
Admission routes1
Has abstractyes

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