Lower Extremity Alignment is a Risk Factor for Non-Contact Anterior Cruciate Ligament Injuries in Elite Male Wrestlers
Publish place: Journal of Advanced Sport Technology، Vol: 7، Issue: 4
Publish Year: 1402
نوع سند: مقاله ژورنالی
زبان: English
View: 38
This Paper With 10 Page And PDF Format Ready To Download
- Certificate
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
JR_JJAST-7-4_006
تاریخ نمایه سازی: 30 اردیبهشت 1403
Abstract:
This study investigated the potential link between lower extremity alignment and Anterior Cruciate Ligament (ACL) injuries in elite male wrestlers. It was hypothesized that lower extremity alignment could predict ACL injury risk. Sixty male wrestlers, divided into injured (n=۳۰) and non-injured (n=۳۰) groups. Lower extremity alignment indices, including pelvic inclination, hip anteversion, quadriceps angle, knee hyperextension, tibial torsion, plantar arch index, and rear foot angle, were measured. Multiple logistic regression analysis was employed to identify predictor factors for ACL injuries. The results revealed that only the plantar arch index was a statistically significant predictor for non-contact ACL injuries in elite male wrestling athletes (P<۰.۰۵). Consequently, the findings suggest that focusing on distal variables of the knee may be crucial when designing ACL injury prevention programs.
Keywords:
Authors
Mehdi Gheitasi
Department of Health and Sports Rehabilitation, Faculty of Sports Science & Health, Shahid Beheshti University, Tehran, Iran.
Hamed Abbasi
Department of Sport Injuries and Corrective Exercises, Sports Medicine Research Center, Sport Sciences Research Institute, Tehran, Iran
Mehdi Pargane
Department of Physical Education, Islamic Azad University of Karaj. Karaj, Iran
Esmaeil Mozafaripour
Department of Health and Sports Medicine, Faculty of Physical Education and Sport Sciences, University of Tehran, Tehran, Iran
مراجع و منابع این Paper:
لیست زیر مراجع و منابع استفاده شده در این Paper را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود Paper لینک شده اند :