Literature DB >> 32561515

Systematic video analysis of ACL injuries in professional male football (soccer): injury mechanisms, situational patterns and biomechanics study on 134 consecutive cases.

Francesco Della Villa1, Matthew Buckthorpe2, Alberto Grassi3, Alberto Nabiuzzi2, Filippo Tosarelli2, Stefano Zaffagnini3, Stefano Della Villa2.   

Abstract

BACKGROUND: A few small studies have reported on the mechanisms of ACL injury in professional male football. AIM: To describe the mechanisms, situational patterns and biomechanics (kinematics) of ACL injuries in professional male football matches.
METHODS: We identified 148 consecutive ACL injuries across 10 seasons of professional Italian football. 134 (90%) injury videos were analysed for mechanism and situational pattern, while biomechanical analysis was possible in 107 cases. Three independent reviewers evaluated each video. ACL injury epidemiology (month), timing within the match and pitch location at the time of injury were also reported.
RESULTS: 59 (44%) injuries were non-contact, 59 (44%) were indirect contact and 16 (12%) were direct contact. Players were frequently perturbed immediately prior to injury. We identified four main situational patterns for players who suffered a non-contact or an indirect contact injury: (1) pressing and tackling (n=55); (2) tackled (n=24); (3) regaining balance after kicking (n=19); and (4) landing from a jump (n=8). Knee valgus loading (n=83, 81%) was the dominant injury pattern across all four of these situational patterns (86%, 86%, 67% and 50%, respectively). 62% of the injuries occurred in the first half of the matches (p<0.01). Injuries peaked at the beginning of the season (September-October) and were also higher at the end of the season (March-May).
CONCLUSIONS: 88% of ACL injuries occurred without direct knee contact, but indirect contact injuries were as frequent as non-contact injuries, underlying the importance of mechanical perturbation. The most common situational patterns were pressing, being tackled and kicking. © Author(s) (or their employer(s)) 2020. No commercial re-use. See rights and permissions. Published by BMJ.

Entities:  

Keywords:  anterior cruciate ligament; biomechanics; football; injury prevention; knee ACL

Mesh:

Year:  2020        PMID: 32561515     DOI: 10.1136/bjsports-2019-101247

Source DB:  PubMed          Journal:  Br J Sports Med        ISSN: 0306-3674            Impact factor:   13.800


  40 in total

Review 1.  Current trends in the anterior cruciate ligament part II: evaluation, surgical technique, prevention, and rehabilitation.

Authors:  Volker Musahl; Ian D Engler; Ehab M Nazzal; Jonathan F Dalton; Gian Andrea Lucidi; Jonathan D Hughes; Stefano Zaffagnini; Francesco Della Villa; James J Irrgang; Freddie H Fu; Jon Karlsson
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2021-12-05       Impact factor: 4.342

2.  Reduced performance after return to competition in ACL injuries: an analysis on return to competition in the 'ACL registry in German Football'.

Authors:  Dominik Szymski; Leonard Achenbach; Johannes Weber; Lorenz Huber; Clemens Memmel; Maximilian Kerschbaum; Volker Alt; Werner Krutsch
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2022-07-10       Impact factor: 4.114

3.  Preliminary brain-behavioral neural correlates of anterior cruciate ligament injury risk landing biomechanics using a novel bilateral leg press neuroimaging paradigm.

Authors:  Dustin R Grooms; Jed A Diekfuss; Cody R Criss; Manish Anand; Alexis B Slutsky-Ganesh; Christopher A DiCesare; Gregory D Myer
Journal:  PLoS One       Date:  2022-08-11       Impact factor: 3.752

Review 4.  Recommendations for Movement Re-training After ACL Reconstruction.

Authors:  Matthew Buckthorpe
Journal:  Sports Med       Date:  2021-04-11       Impact factor: 11.136

Review 5.  Anterior cruciate ligament injury mechanisms through a neurocognition lens: implications for injury screening.

Authors:  Alli Gokeler; Anne Benjaminse; Francesco Della Villa; Fillippo Tosarelli; Evert Verhagen; Jochen Baumeister
Journal:  BMJ Open Sport Exerc Med       Date:  2021-05-17

6.  A Machine-Learning Approach to Measure the Anterior Cruciate Ligament Injury Risk in Female Basketball Players.

Authors:  Juri Taborri; Luca Molinaro; Adriano Santospagnuolo; Mario Vetrano; Maria Chiara Vulpiani; Stefano Rossi
Journal:  Sensors (Basel)       Date:  2021-04-30       Impact factor: 3.576

7.  Biomechanical Changes During a 90º Cut in Collegiate Female Soccer Players With Participation in the 11.

Authors:  Celeste Dix; Amelia Arundale; Holly Silvers-Granelli; Adam Marmon; Ryan Zarzycki; Lynn Snyder-Mackler
Journal:  Int J Sports Phys Ther       Date:  2021-06-02

8.  Female Adolescent Soccer Players Utilize Different Neuromuscular Strategies Between Limbs During the Propulsion Phase of a Lateral Vertical Jump.

Authors:  Matthew D DeLang; Joseph P Hannon; Shiho Goto; James M Bothwell; J Craig Garrison
Journal:  Int J Sports Phys Ther       Date:  2021-06-02

9.  Poor Motor Coordination Elicits Altered Lower Limb Biomechanics in Young Football (Soccer) Players: Implications for Injury Prevention through Wearable Sensors.

Authors:  Stefano Di Paolo; Stefano Zaffagnini; Nicola Pizza; Alberto Grassi; Laura Bragonzoni
Journal:  Sensors (Basel)       Date:  2021-06-25       Impact factor: 3.576

10.  Fatigue Induced by Repeated Changes of Direction in Élite Female Football (Soccer) Players: Impact on Lower Limb Biomechanics and Implications for ACL Injury Prevention.

Authors:  Matteo Zago; Sina David; Filippo Bertozzi; Claudia Brunetti; Alice Gatti; Francesca Salaorni; Marco Tarabini; Christel Galvani; Chiarella Sforza; Manuela Galli
Journal:  Front Bioeng Biotechnol       Date:  2021-07-05
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