MétaCan
Menu
Back to cohort

The Influence Of Running Intensity On Femoral Cartilage Deformation In Competitive Runners

2024· article· en· W4402662473 on OpenAlexaffabout
Ryan J. Evans, Harry S. Batersby, Leah E. Williams, Derek N. Pamukoff

Bibliographic record

VenueMedicine & Science in Sports & Exercise · 2024
Typearticle
Languageen
FieldEngineering
TopicLower Extremity Biomechanics and Pathologies
Canadian institutionsWestern University
Fundersnot available
KeywordsDeformation (meteorology)Intensity (physics)CartilageDistance runningPhysical medicine and rehabilitationMedicineMaterials scienceAnatomyPhysicsComposite materialOptics

Abstract

fetched live from OpenAlex

Competitive compared with recreational runners have higher odds of osteoarthritis (OA) and running related injuries, possibly from different types of running that are associated with high loading rates. PURPOSE: To investigate the influence of running intensity on acute femoral cartilage deformation in competitive runners. METHODS: Twenty-four competitive runners participated (11 females and 13 males; Height = 1.73 ± 0.08 m, Mass = 64.4 ± 9.4 kg, Weekly Running Amount = 78.4 ± 17.6 km, 1500 m Personal Best = 257.1 ± 23.2 s). Competitive runners were currently competing or competed within the last year on an intercollegiate team or at a national/provincial championship level in the 800 m to 10,000 m. Participants underwent two counterbalanced running sessions (continuous and interval) 2-7 days apart. Ultrasound imaging of femoral cartilage was done before and after each running session. The continuous run was 7 km at participants’ self-selected pace (Speed = 12.11 ± 0.7 km/hour). The interval run was 10 x 400 m with 300 m recovery at 85 to 90% of their 1500 m personal best pace (Interval Speed = 18.7 ± 1.6 km/hour; Rest Speed = 11.7 ± 0.7 km/hour). Footwear was instrumented with force sensing insoles to measure the vertical loading rate, peak ground reaction force, and impulse. 2 (time) by 2 (condition) ANOVA with repeated measures evaluated the change in cartilage thickness between conditions after running. Pearson correlation assessed the association between kinetic outcomes and the change in cartilage thickness in each condition. RESULTS: Lateral femoral cartilage demonstrated greater deformation after interval running compared to continuous (p = 0.003). A significant main effect of time was seen in medial femoral cartilage where deformation was similar collapsed across conditions (1.92 (1.82, 2.02) vs. 1.83 (1.73, 1.93) mm; Mean Difference = -0.094 (-0.147, -0.042) mm, p = 0.001). The vertical loading rate, peak ground reaction force, and impulse was not associated with cartilage deformation (all r < 0.32, all p > 0.05). CONCLUSIONS: Interval running may contribute to increased lateral joint stress and greater acute cartilage deformation, which may contribute to the disparity in knee OA between recreational and competitive runners. Moreover, patellofemoral pain symptoms may be worsened by faster interval running. This project received funding from the Natural Science and Engineering Research Council of Canada (RGPIN-2022-04804, PI: DN Pamukoff)

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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 integrity0.0000.000
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 head0.012
GPT teacher head0.245
Teacher spread0.234 · 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 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
Published2024
Admission routes2
Has abstractyes

Explore more

Same venueMedicine & Science in Sports & ExerciseSame topicLower Extremity Biomechanics and PathologiesFrench-language works237,207