MétaCan
Menu
Retour à la cohorte
Enregistrement W4295928012 · doi:10.7190/shu-thesis-00463

An investigation into football-specific dynamic balance measures

2021· dissertation· en· W4295928012 sur OpenAlex
Leona Claire Brayne

Pourquoi ce travail est dans la base

Une base qui oublie comment elle a trouvé un travail ne peut pas être vérifiée. Voici les voies qui ont admis celui-ci.

fundUn bailleur canadien est enregistré sur le travail.
no affAucune affiliation canadienne : ce travail est invisible pour une base fondée sur la seule affiliation.
Aucune affiliation canadienne. Une base fondée sur la seule affiliation (le devis habituel) n'aurait jamais vu ce travail. C'est l'un des travaux qui justifient l'inversion de la base.

Notice bibliographique

RevueSheffield Hallam University · 2021
Typedissertation
Langueen
DomaineMedicine
ThématiqueSports injuries and prevention
Établissements canadiensnon disponible
Organismes subventionnairesBabol University of Medical SciencesMcGill University
Mots-clésDynamic balanceBalance (ability)FootballComputer sciencePhysical medicine and rehabilitationEngineeringMedicinePolitical science

Résumé

récupéré en direct d'OpenAlex

Dynamic balance is a key component required to be successful in many sports yet the importance of dynamic balance in elite level sports has not been identified. The aim of this programme of doctoral study was to determine whether sport specific measures of dynamic balance could differentiate for skill level in footballers. Initially a literature review was performed to identify any gaps in the literature and to inform the research. A scoping review was then performed to provide an in-depth investigation into the understanding of the term dynamic balance and associated terms. More encompassing definitions of dynamic balance, postural control and postural stability were developed as well as a taxonomy to classify movements and existing balance tests. Following this, an investigation into important movements in football was conducted and those movements identified as important were classified using the taxonomy and aligned with existing dynamic balance tests to provide specificity. Finally, sport-specific measures of dynamic balance, along with a common balance measure used in football, were investigated to identify whether they had the ability to differentiate for skill level in footballers. Definitions of dynamic balance and related terms demonstrated disparity, overlap and they fail to cover the full range of dynamic balance situations. There are numerous dynamic balance tests available, they lack specificity, and test selection is difficult due to the complex and multi-factorial nature of balance. The taxonomy provided an approach for differentiating dynamic balance components, comprehensive profile of existing dynamic balance tests and a tool to identify strengths and limitations of existing tests and identify sport specific tests. Important movements in football were identified as shielding the ball, a shoulder barge whilst running, jostling to win the ball and shielding the ball whilst jostling, accelerating and braking, and a single leg kick or standing volley. Investigations identified that no existing dynamic balance tests aligned with the important movements in football. The external forces test shows promise at being a measure that can differentiate for skill level in football. Time to stabilisation was lowest for elite players (1.33 s) followed by recreational players (1.91). A large effect size was observed between elite and recreational players (g = -1.3) and recreational and non-football players (g = 0.82). There was a small effect size between elite and non-football players (g = -0.43). The mSEBT, kicking task and deceleration task were not considered a good measure of performance nor are they able to differentiate for skill level in football. This programme of research identifies that previous research has not identified the components of balance that should be tested for in football, and previous research has not made use of sport specific tests to assess dynamic balance in football. It is recommended that future research in this field refers to the newly proposed definitions. Additionally, further work should investigate other outcome measures of dynamic balance and whether they provide a better indication of dynamic postural control strategies. Finally, future directions could focus on whether participant variability exists at different skill levels.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,607
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,009
Tête enseignante GPT0,253
Écart entre enseignants0,244 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle