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Record W2970294487

QUANTIFYING PASSIVE ELBOW JOINT STIFFNESS FOLLOWING EXERCISE INDUCED MUSCLE DAMAGE OF THE ELBOW FLEXORS

2019· article· en· W2970294487 on OpenAlex
Ashley J Lamont, Molly C. Welsh, Facsm McCall

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueTopSCHOLAR (Western Kentucky University) · 2019
Typearticle
Languageen
FieldEngineering
TopicEngineering Applied Research
Canadian institutionsnot available
Fundersnot available
KeywordsElbowMedicinePhysical medicine and rehabilitationJoint (building)Muscle damagePhysical therapyAnatomyInternal medicineEngineeringStructural engineering
DOInot available

Abstract

fetched live from OpenAlex

A. Lamont1, M. Welsh2, G.E. McCall1, FACSM 1University of Puget Sound, Tacoma, WA; 2Quest University Canada, Squamish, BC Exercise-induced muscle damage (EIMD) results in reduced strength, inflammatory responses, delayed-onset muscle soreness (DOMS), and muscle/joint stiffness. Joint stiffness has traditionally been measured by changes in static joint positions or a perceived resistance to movement. PURPOSE: To develop a novel protocol to quantify the effects of EIMD of the elbow flexors on joint stiffness by measuring torque during passive isokinetic elbow movements throughout the full range of motion. METHODS: Subjects (n=7) performed 50 maximal eccentric elbow extensions with their nondominant arm to induce EIMD, with the dominant arm as a control. Several measurements, including mid-arm circumference, relaxed elbow angle, perceived soreness rated from 0-100 on a visual analog scale (VAS), elbow torque during passive movement (5 and 15° • sec-1), and isokinetic maximum strength (15° • sec-1) were performed on each arm before the EIMD protocol and 1,2,3, and 7 days during recovery. A 2-factor (arm x day) repeated measures ANOVA was used to compare the main effects and interaction of each dependent variable, with α<0.5 as significant. RESULTS: Significant arm x day interactions (p<0.05) existed for perceived soreness, isokinetic maximum strength, and relaxed elbow angle. Soreness in the nondominant arm increased by 31.5 on the VAS after the EIMD protocol. Peak soreness occurred on recovery day 1, and ratings returned to baseline by recovery day 7. Soreness in the dominant arm remained <6 on the VAS throughout the study. Maximal strength in the nondominant arm decreased by 8.75% following EIMD, with peak strength loss on recovery day 1. Strength in the dominant arm increased slightly over the course of the study. Relaxed elbow angle in the nondominant arm became more flexed by 3.43° following EIMD. Peak flexion occurred on recovery day 1, and values returned to baseline by recovery day 7. No main effects or interactions were observed for arm circumference or elbow joint torque during passive isokinetic movements. CONCLUSION: The changes in perceived soreness, isokinetic maximum strength, and relaxed elbow angle following eccentric exercise indicate that EIMD occurred in the nondominant arm. Despite the presence of EIMD in the nondominant arm, changes in passive elbow joint stiffness during isokinetic movement were not observed. Supported by the Washington NASA Space Grant Consortium and the University of Puget Sound Enrichment Committee.

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.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.664
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.024
GPT teacher head0.220
Teacher spread0.196 · 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