Relationship Between Functional Movement Screen, Lower Quarter Y-Balance Test and Physical Performance Tests in Athletes
Notice bibliographique
Résumé
Context: The Functional Movement Screen (FMS) and lower quarter Y-Balance Test (LQ-YBT) are examples of functional screening tools used to identify physical dysfunction or functional asymmetries. Limitations in flexibility, agility and power may also have negative consequences on performance in fundamental movements in sport. Due to the time constraints of physical therapists and athletic trainers providing care towards athletes during rehabilitation and treatment hours, it is not possible to perform multiple screening tests/tools prior to an athletic season to determine if athletes have poor mobility and fundamental movements that may alter sport performance. Understanding associations between movement performance and global screening tools (FMS and LQ-YBT) could provide a foundation for prevention programs and performance enhancement for athletes. Therefore, this study was performed to identify how FMS composite score and LQ-YBT relate to the measures of physical performance (flexibility, agility, and jump) in athletes. Settings and Design: A Cross-sectional study conducted on university athletes. Methods and Material: Demographic and Anthropometric data of 50 athletes (32 males,18 females) in the age group of 18 – 30 years were collected at the beginning of the test after obtaining informed consent. The seven FMS tasks, LQ-YBT, Sit and Reach Test, ProAgility Test and Standing Long Jump were performed sequentially in the order. A total of 3 trials were performed in each test and the average of three trials were recorded for statistical analysis. Statistical analysis used: Pearson correlation was used to assess the association between FMS C.S, LQ-YBT and other physical performance measures and p < 0.05 was utilized for statistical significance. Results: FMS CS and LQ-YBT showed significant positive correlation with standing long jump performance (p<0.05) but not with agility. LQ-YBT correlated significantly with sit and reach test (p<0.05). Conclusions: In athletes, the observed significant correlation between the FMS composite score (FMS CS) and the Lower Quarter Y Balance Test (LQ-YBT) with standing long jump performance suggests their potential utility in predicting jump capabilities. However, their lack of correlation with agility indicates limited applicability in that domain. Notably, the LQ-YBT's significant correlation with the sit and reach test underscores its potential as an indicator of flexibility. Key message: Utilizing the FMS or LQ-YBT autonomously or in pair might help sports medicine and strength and conditioning experts in their capacity to recognize people with an expanded gamble of injury during sports participation through distinguishing proof of physical or functional movement deficiencies. Keywords Agility, Flexibility, Functional Asymmetries, Power, Quality of Movement
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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 | 0,004 | 0,002 |
| 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 | 0,000 | 0,001 |
| 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.
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