Prediction of injuries in elite soccer players with the analysis of asymmetries in the CMJ through the use of Machine Learning tools
DOI:
https://doi.org/10.47197/retos.v71.113766Keywords:
Countermovement jump, Injuries, Prediction, Machine Learning, AsymmetryAbstract
Introduction: The analysis of asymmetries in the countermovement jump (CMJ) is a potentially useful tool for the prevention of injuries in elite soccer players.
Objective: This study analyzes the relationship between biomechanical asymmetries in the CMJ on landing (% Peak Landing Force Assymetry) and the risk of musculoskeletal injuries.
Methodology: Through the use of force platforms (ForceDecks, Valdperformance) and 4 machine learning models, data from 29 Asian Football Confederation (AFC) Champions League elite level professional soccer players were analyzed during a regular season (with a total of 1265 jumps analyzed, during the days Match Day Training MD+1, MD+2 and MD-1).
Discussion: The results indicate that the average asymmetries (0.82% +- 13.66) in the peak landing force are not predictive of the risk of injury, while the % Coefficient of variation (COV) (323–1827) of that asymmetry was related and could have a predictive nature regarding the risk of injuries. Furthermore, there is a moderate positive correlation (r = 0.447) between % COV Assymetry and the appearance of injuries, which is statistically significant (p = 0.017).
Conclusions: The odds ratio of 2.4 indicates that players with higher than average COV asymmetry are 2.4 times more likely to suffer an injury. These findings highlight the importance of the CMJ as part of injury monitoring and injury reduction programs.
References
Badby, A. J., Mundy, P. D., Comfort, P., Lake, J. P., & McMahon, J. J. (2023). The validity of Hawkin Dy-namics wireless dual force plates for measuring countermovement jump and drop jump varia-bles. Sensors, 23, 4820.
Bagchi, A., Raizada, S., Thapa, R. K., Stefanica, V., & Ceylan, H. İ. (2024). Reliability and Accuracy of Portable Devices for Measuring Countermovement Jump Height in Physically Active Adults: A Comparison of Force Platforms, Contact Mats, and Video-Based Software. Life, 14(11), 1394.
Bishop, C., Read, P., Chavda, S., Jarvis, P., Brazier, J., Bromley, T., & Turner, A. (2022). Magnitude or direction? Seasonal variation of interlimb asymmetry in elite academy soccer players. The Journal of Strength & Conditioning Research, 36(4), 1031–1037.
Bishop, C., Read, P., Lake, J., Chavda, S., Turner, A., & Loturco, I. (2018). Interlimb asymmetries: The need for an alternative approach to data analysis. Journal of Strength and Conditioning Re-search, 32(5), 1242–1249. https://doi.org/10.1519/JSC.0000000000002428
Bishop, C., Turner, A., & Read, P. (2018). Effects of inter-limb asymmetries on physical and sports per-formance: A systematic review. Journal of Sports Sciences, 36(10), 1135–1144.
Bromley, T., Turner, A., Read, P., Lake, J., Maloney, S., Chavda, S., & Bishop, C. (2021). Effects of a com-petitive soccer match on jump performance and interlimb asymmetries in elite academy soccer players. The Journal of Strength & Conditioning Research, 35(6), 1707–1714.
Collings, T. J., Lima, Y. L., Dutaillis, B., & Bourne, M. N. (2024). Concurrent validity and test–retest relia-bility of VALD ForceDecks strength, balance, and movement assessment tests. Journal of Sci-ence and Medicine in Sport.
Ekstrand, J., Bengtsson, H., Waldén, M., Davison, M., Khan, K. M., & Hägglund, M. (2023). Hamstring injury rates have increased during recent seasons and now constitute 24% of all injuries in men’s professional football: The UEFA Elite Club Injury Study from 2001/02 to 2021/22. Brit-ish Journal of Sports Medicine, 57(5), 292–298.
Ekstrand, J., Hägglund, M., & Walden, M. (2011). Injury incidence and injury patterns in professional football: The UEFA injury study. British Journal of Sports Medicine, 45(7), 553–558.
Espada, M. C., Jardim, M., Assunção, R., Estaca, A., Ferreira, C. C., Pessôa Filho, D. M., … & Santos, F. J. (2023, May). Lower Limb Unilateral and Bilateral Strength Asymmetry in High-Level Male Sen-ior and Professional Football Players. In Healthcare (Vol. 11, No. 11, p. 1579). MDPI.
Fort-Vanmeerhaeghe, A., Gual, G., Romero-Rodríguez, D., & Unnitha, V. (2016). Lower limb neuromus-cular asymmetry in volleyball and basketball players. Journal of Human Kinetics, 50(1), 135–143.
Gathercole, R., Sporer, B., Stellingwerff, T., & Sleivert, G. (2015). Comparison of the capacity of differ-ent jump and sprint field tests to detect neuromuscular fatigue. Journal of Strength and Condi-tioning Research, 29(9), 2522–2531.
Helme, M., Tee, J., Emmonds, S., & Low, C. (2021). Does lower-limb asymmetry increase injury risk in sport? A systematic review. Physical Therapy in Sport, 49, 204–213.
Hewit, J. K., Cronin, J. B., & Hume, P. A. (2012). Asymmetry in multi-directional jumping tasks. Physical Therapy in Sport, 13(4), 238–242.
McMahon, J. J., Ripley, N. J., & Comfort, P. (2022). Force plate-derived countermovement jump norma-tive data and benchmarks for professional rugby league players. Sensors, 22(22), 8669.
Menzel, H. J., Chagas, M. H., Szmuchrowski, L. A., Araujo, S. R., de Andrade, A. G., & de Jesus-Moraleida, F. R. (2013). Analysis of lower limb asymmetries by isokinetic and vertical jump tests in soccer players. The Journal of Strength & Conditioning Research, 27(5), 1370–1377.
Meras Serrano, H., Mottet, D., & Caillaud, K. (2023). Validity and Reliability of Kinvent Plates for As-sessing Single Leg Static and Dynamic Balance in the Field. Sensors, 23(4), 2354.
Merrigan, J. J., Stone, J. D., Galster, S. M., & Hagen, J. A. (2022). Analyzing force-time curves: Compari-son of commercially available automated software and custom MATLAB analyses. Journal of Strength and Conditioning Research, 36, 2387–2402.
Miras Moreno, S. (2020). La altura del salto en contramovimiento como instrumento de control de la fatiga neuromuscular. Revisión sistemática (Counter-movement Jump height as a means to monitor neuromuscular fatigue. Systematic Review). Retos, 37, 820–826. https://doi.org/10.47197/retos.v37i37.73302
Oliver, J. L., Ayala, F., Croix, M. B. D. S., Lloyd, R. S., Myer, G. D., & Read, P. J. (2020). Using machine learning to improve our understanding of injury risk and prediction in elite male youth football players. Journal of Science and Medicine in Sport, 23(11), 1044–1048.
O’Grady, M. W., Young, W. B., Talpey, S. W., & Behm, D. G. (2021). Does the warm-up effect subsequent post activation performance enhancement. J. Sport Exerc. Sci., 5, 302–309.
Parkinson, A. O., Apps, C. L., Morris, J. G., Barnett, C. T., & Lewis, M. G. (2021). The calculation, thresh-olds and reporting of inter-limb strength asymmetry: A systematic review. Journal of Sports Science & Medicine, 20(4), 594.
Roe, G., Darrall-Jones, J., Black, C., Shaw, W., Till, K., & Jones, B. (2017). Between-day reliability and sensitivity of common fatigue measures in rugby players. International Journal of Sports Physi-ology and Performance, 12(5), 607–613.
Ruddy, J. D., Shield, A. J., Williams, M. D., & Opar, D. A. (2018). Predicting hamstring strain injury in elite athletes. Medicine & Science in Sports & Exercise, 50(4), 828–836.
Steinman, D., Shirley, M., Fuller, M., & Reyes, C. (2019). Validity and reliability of countermovement vertical jump measuring devices. In International Journal of Exercise Science: Conference Pro-ceedings (Vol. 8, No. 7, p. 38).
Yanci, J., & Camara, J. (2016). Bilateral and unilateral vertical ground reaction forces and leg asymme-tries in soccer players. Biology of Sport, 33(2), 179–183.
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