The Role of Hip Joint Clearance Discrepancy as Other Clinical Predictor of Reinjury and Injury Severity in Hamstring Tears in Elite Athletes

[EN] Hamstring tear injuries (HTI) are the most prevalent injuries in athletes, with high reinjury rates. To prevent reinjury and reduce the severity of injuries, it is essential to identify potential risk factors. Hip characteristics are fundamental to optimal hamstring function. We sought to inves...

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Detalles Bibliográficos
Autores: Seco Calvo, Jesús Ángel, Palavicini, Martín, Rodríguez Pérez, Vicente, Sánchez Herráez, Sergio, Abecia Inchaurregui, Luis Carlos, Mielgo Ayuso, Juan Francisco
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2021
País:España
Institución:Universidad Rey Juan Carlos
Repositorio:BULERIA. Repositorio Institucional de la Universidad de León
OAI Identifier:oai:buleria.unileon.es:10612/19500
Acceso en línea:https://www.mdpi.com/2077-0383/10/5/1050/pdf
https://hdl.handle.net/10612/19500
Access Level:acceso abierto
Palabra clave:Fisioterapia
Risk factors
Hamstring tear
Head femoral height discrepancies
Descripción
Sumario:[EN] Hamstring tear injuries (HTI) are the most prevalent injuries in athletes, with high reinjury rates. To prevent reinjury and reduce the severity of injuries, it is essential to identify potential risk factors. Hip characteristics are fundamental to optimal hamstring function. We sought to investigate the role of hip joint clearance discrepancy (JCD) as a risk factor for HTI and a clinical predictor of risk of reinjury and injury severity. A cross-sectional, retrospective study was performed with elite athletes (n = 100) who did (n = 50) and did not (n = 50) have a history of injury. X-rays were taken to assess JCD. We reviewed muscular lesions historial, and health records for the previous 5 years. Significant differences were found in injury severity (p = 0.026; ŋ2p = 0.105) and a number of injuries (p = 0.003; ŋ2p = 0.172). The multivariate analysis data indicated that JCD was significantly associated with the number of injuries and their severity (p < 0.05). In the stepwise regression model, JCD variability explained 60.1% of the number of injuries (R2 0.601) and 10.5% of injury severity (R2 0.0105). These results suggest that JCD could play an important role as a risk factor for HTI and also as a clinical predictor of reinjury and injury severity