Functional Motor Competence, Health-Related Fitness, and Injury in Youth Sport
Notice bibliographique
Résumé
In the United States there millions of youth who participate in sport.1-3 Unfortunately there is also a high rate of musculoskeletal injury in sport,4,5 accompanied by millions of dollar in medical cost.6 The development of functional motor competence and health-related fitness (HRF) is important as these two constructs are related to health, performance, and injury incidence in youth sport.7,8 It is assumed that children develop their movement ability and physical fitness as they age, however recent evidence suggests that youth functional motor competence and HRF decrease across childhood.9-13 An evaluation of functional motor competence gaining popularity among health and strength and conditioning professionals, is the Functional Movement Screen (FMS™). The FMS™ has been utilized as a screening tool to evaluate individuals at risk from dysfunctional movement.14-16 The evaluation and modification of risk factors and mechanisms for injury incidence in youth sport is critical to aid in the reduction of injury. Therefore, the following three studies were conducted. The first study evaluated the mean and distribution of the FMS™ in youth sport (age 11-18), and if there was a composite FMS™ score which was predictive of increased injury risk. Results indicated that youth sport participants have a mean composite FMS™ score of 13.54 + 2.66, revealing that these individuals demonstrated some level of dysfunctional movement. There were two composite FMS™ scores which were predictive of increased risk of injury (FMS™ < 14, < 15), however when adjusting for sport, there were no significant composite FMS™ scores that were predictive of increased risk of injury. The second study evaluated the HRF of youth sport participants (age 11-18), and provided a comparison between Canadian youth normative data and youth in sport. The results revealed that HRF in youth sport participants needs improvement, and that on several measures of HRF there were no differences between the Canadian youth normative data and youth in sport. Furthermore, this study highlights the need to evaluate and address HRF in youth as these measures may related to future health, sport performance, and risk of injury. The final study evaluated the relationship between HRF and the FMS™ in youth sport (age 11-18), and evaluated if the combination of both HRF and the FMS™ has utility for prediction of injury in youth sport. Results indicated that there are variable relationships between the FMS™ tasks and multiple measures of HRF, with not overall relationship noted. The combination of the FMS™ and HRF for the prediction of injury in sport revealed that the three salient factors for increased odds of injury risk an individual’s sex, cardiorespiratory endurance, and muscular power. The relationship between the inline lunge task of the FMS™ and HRF variables may provide insight for strength and conditioning professionals to re-evaluation their selection of training tasks based on the importance of developing both functional motor coordination and HRF.
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.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,003 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».