Training Load

Abstract

Training load monitoring is used in team athletes and individual athletes to adjust the dose of training, to reduce the risk of injury to the players and to increase their performance. Training load data obtained in training and competitions is calculated with various software, hardware and formulas and facilitates the training of the players. Due to the high game tempo in today's sports world, it is ensured that the training intensities are close to the game tempo in order to ensure that the players keep up with the pace. Considering the status of the league in team sports every week-end competition, the players can not recover adequately, the week-end training to be done at the weekend of training to increase the sudden training load as a result of the desire to increase the risk of injury to players increases. The monitoring of the training load also includes methods that can be used in a wide range from minimum cost to maximum cost in order to optimize the performances of the players. In the current world of sport players need to optimize their athletic performance parameters before facing injury. Sports scientists, strength and conditioning coaches and athletic performance coaches try to optimize performance prior to injury while monitoring training loads in order to prevent injury, as players are affected negatively by the player while they are negatively affected. This review is intended to provide theoretical and practical information on the training load of sports scientists, conditioning coaches and athletic performance coaches in order to provide optimal performance levels in teams and individual players. 

Keywords

• Training Load,Sports Injuries,Internal Training Load,External Training Load,Sports Injuries

Antrenman Yükü

Öz

Antrenman yükünün takibi takım sporcularında ve bireysel sporcularda antrenmanın dozunu ayarlayabilmek, oyuncuların sakatlık riskini azaltabilmek ve performanslarını artırabilmek içindir. Antrenmanlarda ve müsabakalarda elde edilen antrenman yükü verileri çeşitli yazılım, donanım ve formüllerle hesaplanarak oyuncuların antrenmanlarına yön verilmesini kolaylaştırmaktadır. Günümüz spor dünyasındaki oyun temposunun yüksekliği nedeniyle oyuncuların bu tempoya ayak uydurmalarının sağlanabilmesi için antrenman şiddetlerinin oyun temposuna yakın olması sağlanmaktadır. Takım sporlarında ligin durumu düşünüldüğünde her hafta sonu müsabaka yapılması, oyuncuların yeterli toparlanamaması, hafta içerisindeki antrenmanlarda hafta sonu yapılacak olan müsabakaya hazır olma isteği sonucu ani antrenman yükünün yükseltilmesi oyuncuların sakatlık risklerini artırmaktadır. Antrenman yükünün takibi de oyuncuların performanslarını optimum seviyeye getirebilmek için, minimum maliyetten maksimum maliyete kadar çeşitli yelpazede kullanabilen yöntemleri içermektedir. Günümüz spor dünyasında oyuncuların sakatlıkla yüzleşmeden önce atletik performans parametrelerini optimum seviyeye getirmesi gereklidir. Spor bilimciler, kuvvet kondisyon koçları ve atletik performans antrenörleri sakatlık öncesi performansı optimum düzeye getirmeye çalışırken sakatlığı da önleyebilmek için antrenman yüklerini takip etmektedir. Çünkü oyuncuların sakatlık durumlarında oyuncu psikolojik olarak negatif etkilenirken, kulüplerde ekonomik olarak negatif etkilenmektedir. Bu derleme spor bilimciler, kondisyon koçları ve performans antrenörlerinin takımlar ve bireysel oyuncularda sakatlıktan uzak optimum performans seviyelerini sağlayabilmek için antrenman yükü ile ilgili teorik ve pratik bilgiler vermek amacıyla hazırlanmıştır.

Anahtar Kelimeler

• Antrenman Yükü,İç Antrenman Yükü,Dış Antrenman Yükü,Spor Sakatlıkları

References

1. Abt, G., & Lovell, R. (2009). The use of individualized speed and intensity thresholds for determining the distance run at high-intensity in professional soccer. Journal of Sports Sciences, 27(9), 893-898.
2. Akenhead, R., French, D., Thompson, K. G., & Hayes, P. R. (2014). The acceleration dependent validity and reliability of 10 Hz GPS. Journal of Science and Medicine in Sport, 17(5), 562-566.
3. Akubat, I., Barrett, S., Sagarra, M. L., & Abt, G. (2018). The Validity of External: Internal Training Load Ratios in Rested and Fatigued Soccer Players. Sports, 6(2), E44. doi: 10.3390/sports6020044
4. Akyıldız, Z. (2018). Futbolcularda Yapılan Anaerobik ve Aerobik Performans Testleriyle Saha Takip Cihazlarıyla Elde Edilen Fizyolojik ve Kinematik Parametrelerin Karşılaştırılması, Yüksek Lisans Tezi, Afyon Kocatepe Üniversitesi, Sağlık Bilimleri Enstitüsü.
5. Alemdaroğlu, B. U., & Köklü, Y. (2017). Antrenman yükü takibi ve sakatlık önlemedeki rolü. Türkiye Klinikleri Sports Medicine-Special Topics, 3(3), 184-190.
6. Aquino, R., Palucci, L. V., Cruz, L. G., & Pereira, P. S. (2018). Relationship between field tests and match running performance in high-level young Brazilian soccer players. The Journal of Sports Medicine and Physical Fitness, 58(3), 256-262.
7. Aslan, A., Acikada, C., Güvenç, A., Gören, H., Hazir, T., & Özkara, A. (2012). Metabolic demands of match performance in young soccer players. Journal of Sports Science & Medicine, 11(1), 170.
8. Banister, E. W. (1991). Modeling elite athletic performance. In: Physiological testing of elite athletes (Green HJ, McDougal JD, Wenger H, eds) Human Kinetics, Campaign Ill., pp 403–424

9. Banister, E. W., Calvert, T. W., Savage, M. V., & Bach, T. (1975). A systems model of training for athletic performance. Australian Journal of Sports Medicine. 7(3), 57-61.
10. Bartlett, J. D., O’Connor, F., Pitchford, N., Torres-Ronda, L., & Robertson, S. J. (2017). Relationships between internal and external training load in team-sport athletes: evidence for an individualized approach. International Journal of Sports Physology and Performance, 12(2), 230-234.
11. Blanch, P., & Gabbett, T. J. (2016). Has the athlete trained enough to return to play safely? The acute: chronic workload ratio permits clinicians to quantify a player's risk of subsequent injury. British Journal of Sports Medicine, 50(8), 471-475.
12. Borg, G. A. (1982). Psychophysical bases of perceived exertion Medicine and Science in Sports and Exercise 14(5), 377-381.
13. Bourdon, P. C., Cardinale, M., Murray, A., Gastin, P., Kellmann, M., Varley, M. C., ... & Cable, N. T. (2017). Monitoring athlete raining loads: consensus statement. International Journal of Sports Physiology and Performance, 12(Suppl 2), S2-161.
14. Boyd, L. J., Ball, K., & Aughey, R. J. (2011). The reliability of MinimaxX accelerometers for measuring physical activity in Australian football. International Journal of Sports Physiology and Performance, 6(3), 311-321.
15. Brito, J., Hertzog, M., & Nassis, G. P. (2016). Do match-related contextual variables influence training load in highly trained soccer players?. The Journal of Strength & Conditioning Research, 30(2), 393-399.
16. Buchheit, M. (2016). The numbers will love you back in return—I promise. International Journal of Sports Physiology and Performance, 11(4), 551-554.
17. Cardinale, M., & Varley, M. C. (2017). Wearable training-monitoring technology: Applications, challenges, and opportunities. International Journal of Sports Physiology and Performance, 12(Suppl 2), S2-55.
18. Cheron, G., Petit, G., Cheron, J., Leroy, A., Cebolla, A., Cevallos, C., ... & Dan, B. (2016). Brain oscillations in sport: toward EEG biomarkers of performance. Frontiers in Psychology, 7, 246.
19. Colby, M. J., Dawson, B., Heasman, J., Rogalski, B., & Gabbett, T. J. (2014). Accelerometer and GPS-derived running loads and injury risk in elite Australian footballers. The Journal of Strength & Conditioning Research, 28(8), 2244-2252.
20. Collette, R., Kellmann, M., Ferrauti, A., Meyer, T., & Pfeiffer, M. (2018). Relation Between Training Load and Recovery-Stress State in High-Performance Swimming. Frontiers in Psychology,, 9.
21. Cummins, C., Orr, R., O’Connor, H., & West, C. (2013). Global positioning systems (GPS) and microtechnology sensors in team sports: a systematic review. Sports Medicine, 43(10), 1025-1042.
22. Di Prampero, P. E., Fusi, S., Sepulcri, L., Morin, J. B., Belli, A., & Antonutto, G. (2005). Sprint running: a new energetic approach. Journal of Experimental Biology, 208(14), 2809-2816.
23. Drew, M. K., & Finch, C. F. (2016). The relationship between training load and injury, illness and soreness: a systematic and literature review. Sports Medicine, 46(6), 861-883.
24. Edgecomb, S. J., & Norton, K. I. (2006). Comparison of global positioning and computer-based tracking systems for measuring player movement distance during Australian football. Journal of Science and Medicine in Sport, 9(1-2), 25-32.
25. Finni, T., Hu, M., Kettunen, P., Vilavuo, T., & Cheng, S. (2007). Measurement of EMG activity with textile electrodes embedded into clothing. Physiological Measurement, 28(11), 1405.
26. Foster, C. A. R. L. (1998). Monitoring training in athletes with reference to overtraining syndrome. Medicine and Science in Sports and Exercise, 30, 1164-1168.
27. Foster, C., Rodriguez-Marroyo, J. A., & De Koning, J. J. (2017). Monitoring training loads: the past, the present, and the future. Journal of Science and Medicine in Sport, 12(Suppl 2), 22-28.
28. Gabbett, T. J. (2013). Quantifying the physical demands of collision sports: does microsensor technology measure what it claims to measure?. The Journal of Strength & Conditioning Research, 27(8), 2319-2322.
29. 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.
30. Gabbett, T. J. (2010). GPS analysis of elite women's field hockey training and competition. The Journal of Strength & Conditioning Research, 24(5), 1321-1324
31. Gao, W., Emaminejad, S., Nyein, H. Y. Y., Challa, S., Chen, K., Peck, A., ... & Lien, D. H. (2016). Fully integrated wearable sensor arrays for multiplexed in situ perspiration analysis. Nature, 529 (7587):509-514.
32. Hackney, A. C. (2013). Clinical management of immuno-suppression in athletes associated with exercise training: sports medicine considerations. Acta Medica Iranica, 51(11), 751-756.
33. Halson, S. L. (2014). Monitoring training load to understand fatigue in athletes. Sports Medicine, 44(2), 139-147.
34. Hewitt, A. (2016). Performance Analysis in Soccer: Applications of Player Tracking Technology (Doctoral dissertation, University of Canberra).
35. Hooton, K., Han, W., & Li, L. (2016). Comprehensive and Quantitative Profiling of the Human Sweat Submetabolome Using High-Performance Chemical Isotope Labeling LC–MS. Analytical Chemistry, 88(14), 7378-7386.
36. Hulin, B. T., Gabbett, T. J., Blanch, P., Chapman, P., Bailey, D., & Orchard, J. W. (2014). Spikes in acute workload are associated with increased injury risk in elite cricket fast bowlers British Journal of Sports Medicine, 48(8), 708-712.
37. Hulin, B. T., Gabbett, T. J., Johnston, R. D., & Jenkins, D. G. (2018). Playerload variables are sensitive to changes in direction and not related to collision workloads in rugby league match-play. International Journal of Sports Physiology and Performance,13(9),1136-1142
38. Hulin, B. T., Gabbett, T. J., Lawson, D. W., Caputi, P., & Sampson, J. A. (2016). The acute: chronic workload ratio predicts injury: high chronic workload may decrease injury risk in elite rugby league players. British Journal of Sports Medicine, 50(4), 231-236.
39. Jennings, D., Cormack, S., Coutts, A. J., Boyd, L., & Aughey, R. J. (2010).The validity and reliability of GPS units for measuring distance in team sport specific running patterns. Journal of Science and Medicine in Sport, 5(3), 328341.
40. Kim, D. H., Lu, N., Ma, R., Kim, Y. S., Kim, R. H., Wang, S., ... & Yu, K. J. (2011). Epidermal Electronics. Science, 333(6044), 838-843.
41. Malone, S., Owen, A., Mendes, B., Hughes, B., Collins, K., & Gabbett, T. J. (2018). High-speed running and sprinting as an injury risk factor in soccer: Can well-developed physical qualities reduce the risk?. Journal of Science and Medicine in Sport, 21(3), 257-262.
42. McCaskie, C. J., Young, W. B., Fahrner, B. B., & Sim, M. (2018). Association Between Pre-season Training and Performance in Elite Australian Football. International Journal of Sports Physiology and Performance, 12:1-25.
43. McGuigan, M. (2017). Monitoring training and performance in athletes. Human Kinetics.
44. Mohr, M., Krustrup, P., & Bangsbo, J. (2003). Match performance of high-standard soccer players with special reference to development of fatigue. Journal of Sports Sciences, 21(7), 519-528.
45. Montini, M., Felici, F., Nicolo, A., Sacchetti, M., & Bazzucchi, I. (2017). Neuromuscular demand in a soccer match assessed by a continuous electromyographic recording. The Journal of Sports Medicine and Physical Fitness, 57(4), 345-352.
46. Mujika, I. (2017). Quantification of training and competition loads in endurance sports: methods and applications. International Journal of Sports Physiology and Performance, 12(Suppl 2), 29-217.
47. Murray, N. B., Gabbett, T. J., Townshend, A. D., Hulin, B. T., & McLellan, C. P. (2017). Individual and combined effects of acute and chronic running loads on injury risk in elite Australian footballers. Scandinavian Journal of Medicine & Science in Sports, 27(9), 990-998.
48. Orchard, J. (2012). Who is to blame for all the football injuries? [Available online at: https://blogs.bmj.com/bjsm/2012/06/20/who-is-to-blame-for-all-the-football-injuries/], Erişim tarihi: 25 Mart 2019
49. Osgnach, C., Poser, S., Bernardini, R., Rinaldo, R., & Di Prampero, P. E. (2010). Energy cost and metabolic power in elite soccer: a new match analysis approach. Medicine & Science in Sports & Exercise, 42(1), 170-178.
50. Polglaze, T., Dawson, B., Hiscock, D. J., & Peeling, P. (2015). A Comparative Analysis of Accelerometer and Time–Motion Data in Elite Men’s Hockey Training and Competition. International Journal of Sports Physiology and Performance, 10(4), 446-451.
51. Rampinini, E., Alberti, G., Fiorenza, M., Riggio, M., Sassi, R., Borges, T. O., & Coutts, A. J. (2015). Accuracy of GPS devices for measuring high-intensity running in field-based team sports. International Journal of Sports Medicine, 36(01), 49-53.
52. Schwartz, G., Tee, B. C. K., Mei, J., Appleton, A. L., Kim, D. H., Wang, H., & Bao, Z. (2013). Flexible polymer transistors with high pressure sensitivity for application in electronic skin and health monitoring. Nature Communications, 4, 1859. doi: 10.1038/ncomms2832.
53. Scott, M. T., Scott, T. J., & Kelly, V. G. (2016). The validity and reliability of global positioning systems in team sport: a brief review. The Journal of Strength & Conditioning Research, 30(5), 1470-1490.
54. Soligard, T., Schwellnus, M., Alonso, J. M., Bahr, R., Clarsen, B., Dijkstra, H. P., ... & Van Rensburg, C. J. (2016). How much is too much?(Part 1) International Olympic Committee consensus statement on load in sport and risk of injury. British Journal of Sports Medicine, 50(17), 1030-1041.
55. Sparks, M., Coetzee, B., & Gabbett, T. J. (2017). Internal and external match loads of university-level soccer players: A comparison between methods. The Journal of Strength & Conditioning Research, 31(4), 1072-1077.
56. Townshend, A. D., Worringham, C. J., & Stewart, I. B. (2008). Assessment of speed and position during human locomotion using nondifferential GPS. Medicine & Science in Sports & Exercise, 40(1), 124-132.
57. Varley, M. C., Fairweather, I. H., & Aughey1, 2, R. J. (2012). Validity and reliability of GPS for measuring instantaneous velocity during acceleration, deceleration, and constant motion. Journal of Sports Sciences, 30(2), 121-127.