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Record W4405450118 · doi:10.1016/j.scispo.2024.08.007

Vertical ground reaction force supports brief sprinting in female soccer players

2024· article· en· W4405450118 on OpenAlexaff
Andrew S. Perrotta, Robert Oates, William J. Garland, Brent D. Day

Bibliographic record

VenueScience & Sports · 2024
Typearticle
Languageen
FieldMedicine
TopicSports Performance and Training
Canadian institutionsUniversity of WindsorLangara College
Fundersnot available
KeywordsGround reaction forcePhysical medicine and rehabilitationMathematicsMedicinePhysicsKinematicsClassical mechanics

Abstract

fetched live from OpenAlex

This study examined vertical ground reaction forces and their association towards supporting brief and prolonged musculoskeletal performance in female adolescent soccer players. Twenty female soccer players with an age of 19.6 ± 1.3 (y), including 3-goal keepers, 9-defenders, 4-mid-fielders, and 4-forwards, were examined once per month over a three-month period. Vertical ground reaction forces were derived from the stretch-shortening cycle during a counter movement jump on a dual force plate system to calculate peak braking force (N), force at minimum displacement (N) and peak propulsive force (N). Brief muscular performance was examined using jump height (cm) and 5 m and 10 m sprint time (s). Prolonged muscular performance was assessed using 25 m sprint time (s) and the YoYo IRTL-l test (m). Linear regression analysis was used to examine the association between vertical ground reaction forces and muscular performance measures. In all, 5 m sprint time displayed significant associations with peak propulsive force (r = −0.47, P = 0.000), force at minimum displacement (r = −0.40, P = 0.004) and peak breaking force (r = −0.40, P = 0.005). A significant association was observed between 10 m sprint time and peak propulsive force (r = −0.39, P = 0.005), force at minimum displacement (r = −0.35, P = 0.012), and peak breaking force (r = −0.36, P = 0.010). Indices of prolonged muscular performance were not significantly associated with vertical ground reaction forces. Vertical ground reaction forces support 5 m and 10 m sprint speed in adolescent female soccer players. Cette étude a permis d’examiner les forces de réaction verticales au sol et leur association aux performances musculosquelettiques brèves et prolongées chez des joueuses de football adolescentes. Vingt joueuses de football âgées de 19,6 ± 1,3 (ans), dont 3 gardiennes de but, 9 défenseures, 4 milieux de terrain et 4 attaquantes, ont été examinées une fois par mois sur une période de trois mois. Les forces de réaction verticales au sol ont été dérivées du cycle d’étirement-raccourcissement lors d’un saut à contre-mouvement sur un système à double plateformes de force pour calculer la force de freinage maximale (N), la force au déplacement minimum (N) et la force de propulsion maximale (N). De brèves performances musculaires ont été examinées en utilisant la hauteur de saut (cm) et le temps (s) de sprint de 5 m et 10 m. Les performances musculaires prolongées ont été évaluées à l’aide d’un temps de sprint de 25 m (s) et du test YoYo IRTL-l (m). Une analyse de régression linéaire a été utilisée pour examiner l’association entre les forces de réaction verticales au sol et les mesures de performance musculaire. Le temps de sprint sur 5 m a montré des associations significatives avec la force de propulsion maximale (r = −0,47, p = 0,000), la force au déplacement minimum (r = −0,40, p = 0,004) et la force de rupture maximale (r = −0,40, p = 0,005). Une association significative a été observée entre le temps de sprint sur 10 m et la force de propulsion maximale (r = −0,39, p = 0,005), la force au déplacement minimum (r = −0,35, p = 0,012), et la force de rupture maximale (r = −0,36, p = 0,010). Les indices de performance musculaire prolongée n’étaient pas significativement associés aux forces de réaction verticales du sol. Les forces de réaction verticales au sol sont associées aux vitesses de sprint sur 5 m et 10 m chez les adolescentes footballeuses.

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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)0.0010.000

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 head0.310
Teacher spread0.290 · 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".

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Citations0
Published2024
Admission routes1
Has abstractyes

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