Training load and muscle injuries in football
Keywords:
external load, artificial intelligence, isokinetic dynamometry, hamstringsAbstract
Training load in football may be categorized into “external”, which includes distances covered with running at different speeds, and “internal”, which includes the physiological and perceptual responses to the “external” load, e.g. heart rate and perceived exertion. Muscle injuries are related with several factors which may modify the probability of injury. Abrupt increases of training load constitute an important risk factor for muscle injuries, while the systematic recording and analysis of training load contributes significantly to their avoidance. Fatigue is also a main factor which increases injury risk, and thus the players should maintain their fitness at a high level in order to reduce it. Intense training, performed after careful scheduling and with respect to the principles of training periodization and recovery, is necessary to reduce muscle injuries rate. Good running technique, and especially the correct position of the pelvis, has an impact not only on performance but also reduces the risk of muscle injuries.
References
Akubat, I., Barrett, S., & Abt, G. (2014). Integrating the Internal and External Training Loads in Soccer. International Journal of Sports Physiology and Performance, 9(3), 457–462. https://doi.org/10.1123/ijspp.2012-0347
Asian-Clemente, J., Requena, B., Owen, A., & Santalla, A. (2022). External Workload Compared Between Competitive and Non-Competitive Matches for Professional Male Soccer Players. Journal of Human Kinetics, 83(1), 175–184. https://doi.org/10.2478/HUKIN-2022-0057
Bengtsson, H., Ekstrand, J., & Hägglund, M. (2013). Muscle injury rates in professional football increase with fixture congestion: An 11-year follow-up of the UEFA Champions League injury study. British Journal of Sports Medicine, 47(12), 743–747. https://doi.org/10.1136/bjsports-2013-092383
Bengtsson, H., Ekstrand, J., Waldén, M., & Hägglund, M. (2018). Muscle injury rate in professional football is higher in matches played within 5 days since the previous match: A 14-year prospective study with more than 130 000 match observations. British Journal of Sports Medicine, 52(17), 1116–1122. https://doi.org/10.1136/bjsports-2016-097399
Bradley, P. S., Di Mascio, M., Peart, D., Olsen, P., & Sheldon, B. (2010). High-intensity activity profiles of elite soccer players at different performance levels. Journal of Strength and Conditioning Research, 24(9), 2343–2351. https://doi.org/10.1519/JSC.0b013e3181aeb1b3
Bradley, P. S., Sheldon, W., Wooster, B., Olsen, P., Boanas, P., & Krustrup, P. (2009). High-intensity running in English FA Premier League soccer matches. Journal of Sports Sciences, 27(2), 159–168. https://doi.org/10.1080/02640410802512775
Casamichana, D., Martín-García, A., Díaz, A. G., Bradley, P. S., & Castellano, J. (2022). Accumulative weekly load in a professional football team: with special reference to match playing time and game position. Biology of Sport, 39(1), 115–124. https://doi.org/10.5114/biolsport.2021.102924
Chena, M., Morcillo-Losa, J. A., Rodríguez-Hernández, M. L., Asín-Izquierdo, I., Pastora-Linares, B., & Carlos Zapardiel, J. (2022). Workloads of Different Soccer-Specific Drills in Professional Players. Journal of Human Kinetics, 84(1), 135–147. https://doi.org/10.2478/hukin-2022-000075
Claudino, J. G., Capanema, D. de O., de Souza, T. V., Serrão, J. C., Machado Pereira, A. C., & Nassis, G. P. (2019). Current Approaches to the Use of Artificial Intelligence for Injury Risk Assessment and Performance Prediction in Team Sports: a Systematic Review. Sports Medicine - Open, 5(1). https://doi.org/10.1186/S40798-019-0202-3
Coombs, R., & Garbutt, G. (2002). Developments in the use of the hamstring/quadriceps ratio for the assessment of muscle balance. Journal of Sports Science & Medicine, 1(3), 56–62. https://pubmed.ncbi.nlm.nih.gov/24701125/
Coratella, G., Bellin, G., Beato, M., & Schena, F. (2015). Fatigue affects peak joint torque angle in hamstrings but not in quadriceps. Journal of Sports Sciences, 33(12), 1276–1282. https://doi.org/10.1080/02640414.2014.986185
Cross, K. M., Saliba, S. A., Conaway, M., Gurka, K. K., & Hertel, J. (2015). Days to return to participation after a hamstrings strain among American collegiate soccer players. Journal of Athletic Training, 50(7), 733–741. https://doi.org/10.4085/1052-6050-50.2.12
Dellal, A., Keller, D., Carling, C., Chaouachi, A., Wong, D. P., & Chamari, K. (2010). Physiologic Effects of Directional Changes in Intermittent Exercise in Soccer Players. Journal of Strength and Conditioning Research, 24(12), 3219–3226. https://doi.org/10.1519/JSC.0b013e3181b94a63
Donti, O., Panidis, I., Terzis, G., & Bogdanis, G. C. (2019). Gastrocnemius Medialis Architectural Properties at Rest and During Stretching in Female Athletes with Different Flexibility Training Background. Sports (Basel, Switzerland), 7(2). https://doi.org/10.3390/sports7020039
Drew, M. K., Blanch, P., Purdam, C., & Gabbett, T. J. (2017). Yes, rolling averages are a good way to assess training load for injury prevention. Is there a better way? Probably, but we have not seen the evidence. British Journal of Sports Medicine, 51(7), 619. https://doi.org/10.1136/bjsports-2016-096609
Ekstrand, J., Askling, C., Magnusson, H., & Mithoefer, K. (2013). Return to play after thigh muscle injury in elite football players: Implementation and validation of the Munich muscle injury classification. British Journal of Sports Medicine, 47(12), 769–774. https://doi.org/10.1136/bjsports-2012-092092
Ekstrand, J., Waldén, M., & Hägglund, M. (2004). Risk for injury when playing in a national football team. Scandinavian Journal of Medicine and Science in Sports, 14(1), 34–38. https://doi.org/10.1111/j.1600-0838.2003.00330.x
Ekstrand, J., Waldén, M., & Hägglund, M. (2016). Hamstring injuries have increased by 4% annually in men’s professional football, since 2001: A 13-year longitudinal analysis of the UEFA Elite Club injury study. British Journal of Sports Medicine, 50(12), 731–737. https://doi.org/10.1136/bjsports-2015-095359
Evangelidis, P. E., Massey, G. J., Pain, M. T. G., & Folland, J. P. (2015). Biceps femoris aponeurosis size: A potential risk factor for strain injury? Medicine and Science in Sports and Exercise, 47(7), 1383–1389. https://doi.org/10.1249/MSS.0000000000000550
Evangelidis, P. E., Shan, X., Otsuka, S., Yang, C., Yamagishi, T., & Kawakami, Y. (2021). Hamstrings load bearing in different contraction types and intensities: A shearwave and B-mode ultrasonographic study. PLoS ONE, 16(5 May). https://doi.org/10.1371/journal.pone.0251939
Gabbett, T. J. (2010). The development and application of an injury prediction model for noncontact, soft-tissue injuries in elite collision sport athletes. Journal of Strength and Conditioning Research, 24(10), 2593–2603. https://doi.org/10.1519/JSC.0b013e3181f19da4
Gabbett, T. J. (2016). The training-injury prevention paradox: should athletes be training smarter and harder? British Journal of Sports Medicine, 50(5), 273–280. https://doi.org/10.1136/bjsports-2015-095788
Gabbett, T. J., & Jenkins, D. G. (2011). Relationship between training load and injury in professional rugby league players. Journal of Science and Medicine in Sport, 14(3), 204–209. https://doi.org/10.1016/j.jsams.2010.12.002
Gabbett, T. J., Kennelly, S., Sheehan, J., Hawkins, R., Milsom, J., King, E., Whiteley, R., & Ekstrand, J. (2016). If overuse injury is a “training load error”, should undertraining be viewed the same way? British Journal of Sports Medicine, 50(17), 1017–1018. https://doi.org/10.1136/bjsports-2016-096308
Gabbett, T. J., & Mulvey, M. J. (2008). Time-Motion Analysis of Small-Sided Training Games and Competition in Elite Women Soccer Players. Journal of Strength and Conditioning Research, 22(2), 543–552. https://doi.org/10.1519/JSC.0b013e3181635597
Gabbett, T. J., Whyte, D. G., Hartwig, T. B., Wescombe, H., & Naughton, G. A. (2014). The relationship between workloads, physical performance, injury and illness in adolescent male football players. Sports Medicine, 44(7), 989–1003. https://doi.org/10.1007/s40279-014-0179-5
Gaspari, V., Papia, K., Panidi, I., Donti, O., & Bogdanis, G. C. (2019). Acute Effect of Intermittent and Continuous Static Stretching on Hip Joint Range of Motion in Trained and Untrained Subjects. Proceedings, 25(1), 16. https://doi.org/10.3390/proceedings2019025016
Hägglund, M., Waldén, M., & Ekstrand, J. (2013). Risk factors for lower extremity muscle injury in professional soccer: The UEFA injury study. American Journal of Sports Medicine, 41(2), 327–335. https://doi.org/10.1177/0363546512470634
Hägglund, M., Waldén, M., & Ekstrand, J. (2016). Injury recurrence is lower at the highest professional football level than at national and amateur levels: Does sports medicine and sports physiotherapy deliver? British Journal of Sports Medicine, 50(12), 751–758. https://doi.org/10.1136/bjsports-2015-095951
Hallén, A., & Ekstrand, J. (2014). Return to play following muscle injuries in professional footballers. Journal of Sports Sciences, 32(13), 1229–1236. https://doi.org/10.1080/02640414.2014.905695
Hawkins, R. D., Hulse, M. A., Wilkinson, C., Hodson, A., & Gibson, M. (2001). The association football medical research programme: An audit of injuries in professional football. British Journal of Sports Medicine, 35(1), 43–47. https://doi.org/10.1136/bjsm.35.1.43
Hewett, T. E., Myer, G. D., & Zazulak, B. T. (2008). Hamstrings to quadriceps peak torque ratios diverge between sexes with increasing isokinetic angular velocity. Journal of Science and Medicine in Sport, 11(5), 452–459. https://doi.org/10.1016/J.JSAMS.2007.04.009
Jaspers, A., De Beéck, T. O., Brink, M. S., Frencken, W. G. P., Staes, F., Davis, J. J., & Helsen, W. F. (2018). Relationships Between the External and Internal Training Load in Professional Soccer: What Can We Learn From Machine Learning? International Journal of Sports Physiology and Performance, 13(5), 625–630. https://doi.org/10.1123/ijspp.2017-0299
Jeong, J., Choi, D. H., & Shin, C. S. (2021). Core Strength Training Can Alter Neuromuscular and Biomechanical Risk Factors for Anterior Cruciate Ligament Injury. American Journal of Sports Medicine, 49(1), 183–192. https://doi.org/10.1177/0363546520972990
Kellis, E., Galanis, N., & Kofotolis, N. (2019). Hamstring-to-Quadriceps Ratio in Female Athletes with a Previous Hamstring Injury, Anterior Cruciate Ligament Reconstruction, and Controls. Sports (Basel, Switzerland), 7(10). https://doi.org/10.3390/sports7100214
Kellis, E., & Sahinis, C. (2022). Is Muscle Architecture Different in Athletes with a Previous Hamstring Strain? A Systematic Review and Meta-Analysis. Journal of Functional Morphology and Kinesiology, 7(1). https://doi.org/10.3390/jfmk7010016
Kellis, E., Sahinis, C., & Baltzopoulos, V. (2022). Is hamstrings-to-quadriceps torque ratio useful for predicting anterior cruciate ligament and hamstring injuries? A systematic and critical review. Journal of Sport and Health Science. https://doi.org/10.1016/J.JSHS.2022.01.002
Larruskain, J., Lekue, J. A., Martin-Garetxana, I., Barrio, I., McCall, A., & Gil, S. M. (2022). Injuries are negatively associated with player progression in an elite football academy. Science and Medicine in Football, 6(4), 405–414. https://doi.org/10.1080/24733938.2021.1943756
Lee, J. W. Y., Mok, K. M., Chan, H. C. K., Yung, P. S. H., & Chan, K. M. (2018). Eccentric hamstring strength deficit and poor hamstring-to-quadriceps ratio are risk factors for hamstring strain injury in football: A prospective study of 146 professional players. Journal of Science and Medicine in Sport, 21(8), 789–793. https://doi.org/10.1016/j.jsams.2017.11.017
López-Valenciano, A., Ayala, F., Puerta, Jos. M., De Ste Croix, M. B. A., Vera-Garcia, F. J., Hernández-Sánchez, S., Ruiz-Pérez, I., & Myer, G. D. (2018). A Preventive Model for Muscle Injuries: A Novel Approach based on Learning Algorithms. Medicine and Science in Sports and Exercise, 50(5), 915–927. https://doi.org/10.1249/MSS.0000000000001535
Mallo, J., Mena, E., Nevado, F., & Paredes, V. (2015). Physical Demands of Top-Class Soccer Friendly Matches in Relation to a Playing Position Using Global Positioning System Technology. Journal of Human Kinetics, 47(1), 179–188. https://doi.org/10.1515/hukin-2015-0073
Malone, S., Roe, M., Doran, D. A., Gabbett, T. J., & Collins, K. (2017a). High chronic training loads and exposure to bouts of maximal velocity running reduce injury risk in elite Gaelic football. Journal of Science and Medicine in Sport, 20(3), 250–254. https://doi.org/10.1016/j.jsams.2016.08.005
Malone, S., Roe, M., Doran, D. A., Gabbett, T. J., & Collins, K. D. (2017b). Protection against spikes in workload with aerobic fitness and playing experience: The role of the acute: Chronic workload ratio on injury risk in elite gaelic football. International Journal of Sports Physiology and Performance, 12(3), 393–401. https://doi.org/10.1123/ijspp.2016-0090
Martins, F., Przednowek, K., França, C., Lopes, H., de Maio Nascimento, M., Sarmento, H., Marques, A., Ihle, A., Henriques, R., & Gouveia, É. R. (2022). Predictive Modeling of Injury Risk Based on Body Composition and Selected Physical Fitness Tests for Elite Football Players. Journal of Clinical Medicine, 11(16). https://doi.org/10.3390/jcm11164923
Mendiguchia, J., Castano-Zambudio, A., Jimenez-Reyes, P., Morin, J. B., Edouard, P., Conceicao, F., Tawiah-Dodoo, J., & Colyer, S. L. (2022). Can We Modify Maximal Speed Running Posture? Implications for Performance and Hamstring Injury Management. International Journal of Sports Physiology and Performance, 17(3), 374–383. https://doi.org/10.1123/ijspp.2021-0107
Mendiguchia, J., Conceição, F., Edouard, P., Fonseca, M., Pereira, R., Lopes, H., Morin, J. B., & Jiménez-Reyes, P. (2020). Sprint versus isolated eccentric training: Comparative effects on hamstring architecture and performance in soccer players. PLoS ONE, 15(2). https://doi.org/10.1371/journal.pone.0228283
Murray, N. B., Gabbett, T. J., & Townshend, A. D. (2018). The use of relative speed zones in Australian Football: Are we really measuring what we think we are? International Journal of Sports Physiology and Performance, 13(4), 442–451. https://doi.org/10.1123/ijspp.2017-0148
Murray, N. B., Gabbett, T. J., Townshend, A. D., & Blanch, P. (2017). Calculating acute: Chronic workload ratios using exponentially weighted moving averages provides a more sensitive indicator of injury likelihood than rolling averages. British Journal of Sports Medicine, 51(9), 749–754. https://doi.org/10.1136/bjsports-2016-097152
Oliver, J. L., Ayala, F., De Ste Croix, M. B. A., 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. https://doi.org/10.1016/j.jsams.2020.04.021
Orchard, J. W., Driscoll, T., Seward, H., & Orchard, J. J. (2012). Relationship between interchange usage and risk of hamstring injuries in the Australian Football League. Journal of Science and Medicine in Sport, 15(3), 201–206. https://doi.org/10.1016/j.jsams.2011.11.250
Panidi, I., Bogdanis, G. C., Terzis, G., Donti, A., Konrad, A., Gaspari, V., & Donti, O. (2021). Muscle Architectural and Functional Adaptations Following 12-Weeks of Stretching in Adolescent Female Athletes. Frontiers in Physiology, 12. https://doi.org/10.3389/FPHYS.2021.701338
Raastad, T., & Hallén, J. (2000). Recovery of skeletal muscle contractility after high- and moderate-intensity strength exercise. European Journal of Applied Physiology, 82(3), 206–214. https://doi.org/10.1007/s004210050673
Rossi, A., Pappalardo, L., Cintia, P., Iaia, F. M., Fernàndez, J., & Medina, D. (2018). Effective injury forecasting in soccer with GPS training data and machine learning. PLoS ONE, 13(7). https://doi.org/10.1371/journal.pone.0201264
Schuermans, J., Van Tiggelen, D., Palmans, T., Danneels, L., & Witvrouw, E. (2017). Deviating running kinematics and hamstring injury susceptibility in male soccer players: Cause or consequence? Gait & Posture, 57, 270–277. https://doi.org/10.1016/J.GAITPOST.2017.06.268
Shalaj, I., Gjaka, M., Bachl, N., Wessner, B., Tschan, H., & Tishukaj, F. (2020). Potential prognostic factors for hamstring muscle injury in elite male soccer players: A prospective study. PloS One, 15(11). https://doi.org/10.1371/JOURNAL.PONE.0241127
Silva, H., Nakamura, F. Y., Beato, M., & Marcelino, R. (2022). Acceleration and deceleration demands during training sessions in football: a systematic review. Science & Medicine in Football, 1–16. https://doi.org/10.1080/24733938.2022.2090600
Sole, G., Milosavljevic, S., Nicholson, H., & Sullivan, S. (2011). Selective strength loss and decreased muscle activity in hamstring injury. In Journal of orthopaedic and sports physical therapy (Vol. 41, Issue 5, pp. 354–363). https://doi.org/10.2519/jospt.2011.3268
Sparks, M., Coetzee, B., & Gabbett, T. J. (2017). Internal and External Match Loads of University-Level Soccer Players. Journal of Strength and Conditioning Research, 31(4), 1072–1077. https://doi.org/10.1519/JSC.0000000000001560
Szigeti, G., Schuth, G., Kovács, T., Revisnyei, P., Pasic, A., Szilas, Á., Gabbett, T., & Pavlik, G. (2023). Football movement profile analysis and creatine kinase relationships in youth national team players. Physiology International. https://doi.org/10.1556/2060.2023.00160
Windt, J., Zumbo, B. D., Sporer, B., Macdonald, K., & Gabbett, T. J. (2017). Why do workload spikes cause injuries, and which athletes are at higher risk? Mediators and moderators in workload-injury investigations. British Journal of Sports Medicine, 51(13), 993–994. https://doi.org/10.1136/bjsports-2016-097255
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