MétaCan
Menu
Back to cohort
Record W7056044103

EFFECTS OF CONTINUOUS CYCLING TRAINING ON MOTOR UNIT BEHAVIOR DURING CONSECUTIVE CONTRACTIONS IN SEDENTARY MALES

2020· article· en· W7056044103 on OpenAlexaboutno aff

Bibliographic record

VenueTopSCHOLAR (Western Kentucky University) · 2020
Typearticle
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
Fundersnot available
KeywordsCyclingMotor unitElectromyographyAnalysis of varianceRepeated measures designMotor unit recruitmentLower limb
DOInot available

Abstract

fetched live from OpenAlex

Michael A. Trevino1, Adam J. Sterczala2, Jonathan D. Miller3, Mandy E. Wray3, Hannah L. Dimmick4, and Trent J. Herda3. 1Oklahoma State University, Stillwater, OK; 2University of Pittsburg, Pittsburgh, PA; 3University of Kansas, Lawrence, KS; 4University of Calgary, Calgary, Alberta. PURPOSE: To examine the effects of a 10 week continuous cycling intervention on maximal aerobic capacity (VO2MAX), maximal strength (MVC) of the leg extensors, and MU behavior of the vastus lateralis (VL) in previously sedentary males. METHODS: Nine males completed 40 supervised training sessions. Pre-and post-intervention, participants performed a cycling VO2MAX test and MVCs on an isokinetic dynamometer followed by two consecutive submaximal (40% relative to pre-training MVC) contractions of the right leg extensors. Surface electromyographic (EMG) decomposition assessed recruitment thresholds (RT), motor unit action potential amplitudes (MUAPAMPS) and mean firing rates (MFR) for each observed MU from the VL for the 40% MVCs and linear regressions determined the y-intercepts (y-ints) and slopes for the MFR and MUAPAMP vs. RT relationships. EMG amplitude for the 40% MVCs was normalized (N-EMG) to the MVC for the current visit. Separate paired samples t-tests examined VO2MAXand MVC. Separate two-way ANOVAs (time x repetition) examined N-EMG and the y-ints and slopes for the MFR vs. RT and MUAPAMP vs. RT relationships. Alpha was 0.05. RESULTS: Ten weeks of training resulted in significant increases in VO2MAX (P =0.005) while MVC was unchanged (P = 0.056). For the slopes and y-intercepts from the MFR and MUAPAMP vs. RT relationships, there were no significant two-way interactions (P = 0.152 –0.669) or main effects for time (P = 0.213 –0.753) or repetition (P = 0.313 –0.639). For N-EMG, there was no significant two-way interaction (P = 0.485). There were main effects for time (P = 0.035) and repetition (P = 0.044). N-EMG was greater for post-training and repetition 2 when collapsed across time and repetition. CONCLUSION: As expected, continuous cycling increased maximal aerobic capacity. Although maximal strength of the leg extensors and firing rates in relation to recruitment thresholds for the VL were unchanged following the cycling training program, participants exhibited greater muscle activation and decreased fatigue resistance when completing consecutive contractions at pre-training absolute torque levels.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.104
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.022
GPT teacher head0.243
Teacher spread0.221 · 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.

Study designObservational
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".

Quick stats

Citations0
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueTopSCHOLAR (Western Kentucky University)Same topicMagnetic confinement fusion researchFrench-language works237,207