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Modelling the relationship between relative load and match outcome in junior tennis players
Abstract
The acute:chronic workload ratio (ACWR) is a metric that can be used to monitor training loads during sport. Over the last decade researchers have investigated how this metric relates to injury, yet little consideration has been given to how this metric interacts with performance. Two prospective longitudinal studies were implemented investigating internal and external ACWRs and match outcome in junior tennis players. Forty-two and 24 players were recruited to participate in the internal and external load studies, respectively. Internal load was measured using session rate of perceive exertion, while external load was defined as total swing counts. The main dependent variable was tennis match performance which was extracted from the universal tennis rating website. The ACWR for internal and external load were the primary independent variables. Acute load was defined as the total load for one week, while a 4-week rolling average represented chronic load. There were no significant associations between internal (p-value = .23) or external (p-value = .81) ACWR and tennis match performance as assessed by multivariate regressions. The ACWRs in these datasets were close to 1.00, thus a balanced training load was undertaken by these athletes upon entering match play but was not related to match success.
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References
Aughey, R. J., Elias, G. P., Esmaeili, A., Lazarus, B., & Stewart, A. M. (2016). Does the recent internal load and strain on players affect match outcome in elite Australian football? Journal of Science & Medicine in Sport, 19(2), 182-186. https://doi.org/10.1016/j.jsams.2015.02.005
Banister, E. W., & Calvert, T. W. (1980). Planning for future performance: implications for long term training. Canadian journal of applied sport sciences, 5(3), 170-176.
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. https://doi.org/10.1136/bjsports-2015-095445
Bourdon, P. C., Cardinale, M., Murray, A., Gastin, P., Kellmann, M., Varley, M. C., Gabbett, T. J., Coutts, A. J., Burgess, D. J., Gregson, W., & Cable, N. T. (2017). Monitoring athlete training loads: Consensus statement. International Journal of Sports Physiology & Performance, 12, S2-161-S162-170. https://doi.org/10.1123/ijspp.2017-0208
Bowen, L., Gross, A. S., Gimpel, M., & Li, F.-X. (2017). Accumulated workloads and the acute: chronic workload ratio relate to injury risk in elite youth football players. British Journal of Sports Medicine, 51, 452-459. https://doi.org/10.1136/bjsports-2015-095820
Brink, M. S., Nederhof, E., Visscher, C., Lemmink, K. A. P. M., & Schmikli, S. L. (2010). Monitoring load, recovery, and performance in young elite soccer players. Journal of Strength and Conditioning Research, 24(3), 597-603. https://doi.org/10.1519/jsc.0b013e3181c4d38b
Calvert, T. W., Banister, E. W., Savage, M. V., & Bach, T. (1976). A systems model of the effects of training on physical performance. IEEE Transactions on systems, man, and cybernetics(2), 94-102. https://doi.org/10.1109/tsmc.1976.5409179
Colby, M. J., Dawson, B., Peeling, P., Heasman, J., Rogalski, B., Drew, M. K., Stares, J., Zouhal, H., & Lester, L. (2017). Multivariate modelling of subjective and objective monitoring data improve the detection of non-contact injury risk in elite Australian footballers. Journal of Science and Medicine in Sport, 20(12), 1068-1074. https://doi.org/10.1016/j.jsams.2017.05.010
Collette, R., Pfeiffer, M., Kellmann, M., Ferrauti, A., & Meyer, T. (2018). Relation between training load and recovery-stress state in high-performance swimming. Frontiers in Physiology, 9(7). https://doi.org/10.3389/fphys.2018.00845
Coutts, A. J., Gomes, R. V., Viveiros, L., & Aoki, M. S. (2010). Monitoring training loads in elite tennis. Revista Brasileira de Cineantropometria e Desempenho Humano, 12(3), 217-220. https://doi.org/10.5007/1980-0037.2010v12n3p217
Duffield, R., Reid, M., Baker, J., & Spratford, W. (2010). Accuracy and reliability of GPS devices for measurement of movement patterns in confined spaces for court-based sports. Journal of Science and Medicine in Sport, 13(5), 523-525. https://doi.org/10.1016/j.jsams.2009.07.003
El-Masri, M. M., & Fox-Wasylyshyn, S. M. (2005). Missing data: An introductory conceptual overview for the novice researcher. Canadian Journal of Nursing Research, 37(4), 156-171.
Fernandez-Fernandez, J., Sanz-Rivas, D., & Mendez-Villanueva, A. (2009). A review of the activity profile and physiological demands of tennis match play. Strength and Conditioning Journal, 31(4), 15-26. https://doi.org/10.1519/ssc.0b013e3181ada1cb
Fett, J., Ulbricht, A., Wiewelhove, T., & Ferrauti, A. (2017). Athletic performance, training characteristics, and orthopedic indications in junior tennis Davis Cup players. International Journal of Sports Science & Coaching, 12(1), 119-129. https://doi.org/10.31236/osf.io/2nue7
Foster, C., Daniels, J. T., & Yarbrough, R. A. (1977). Physiological and training correlates of marathon running performance. Australian Journal of Sports Medicine, 9(3), 58-61.
Foster, C., Florhaug, J. A., Franklin, J., Gottschall, L., Hrovatin, L. A., Parker, S., Doleshal, P., & Dodge, C. (2001). A new approach to monitoring exercise training. The Journal of Strength & Conditioning Research, 15(1), 109-115.
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
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. https://doi.org/10.1136/bjsports-2013-092524
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. https://doi.org/10.1136/bjsports-2015-094817
Kang, M., Rowe, D. A., Barreira, T. V., Robinson, T. S., & Mahar, M. T. (2009). Individual information-centered approach for handling physical activity missing data. Research Quarterly for Exercise and Sport, 80(2), 131-137. https://doi.org/10.1080/02701367.2009.10599546
Kolman, N. S., Kramer, T., Elferink-Gemser, M. T., Huijgen, B. C. H., & Visscher, C. (2019). Technical and tactical skills related to performance levels in tennis: A systematic review. Journal of Sport Sciences, 37(1), 108-121. https://doi.org/10.1080/02640414.2018.1483699
Kovacs, M. S. (2007). Tennis physiology: Training the competitive athlete. Sports Medicine(37), 189–198. https://doi.org/10.2165/00007256-200737030-00001
Kramer, T., Huijgen, B. C. H., Elferink-Gemser, M. T., & Visscher, C. (2017). Prediction of tennis performance in junior elite tennis players. Journal of Sports Science and Medicine, 16(1), 14-21.
Malone, S., Owen, A., Newton, M., Mendes, B., Collins, K. D., & Gabbett, T. J. (2017). The acute:chonic workload ratio in relation to injury risk in professional soccer. Journal of Science and Medicine in Sport, 20(6), 561-565. https://doi.org/10.1016/j.jsams.2016.10.014
McLaren, S., Smith, A., Spears, I., & Weston, M. (2017). A detailed quantification of differential ratings of perceived exertion during team-sport training. Journal of Science and Medicine in Sport, 20, 290-295. https://doi.org/10.1016/j.jsams.2016.06.011
Mendez-Villanueva, A., Fernandez-Fernandez, J., Bishop, D., Fernandez-Garcia, B., & Terrados, N. (2007). Activity patterns, blood lactate concentrations and ratings of perceived exertion during a professional singles tennis tournament. British Journal of Sports Medicine, 41(5), 296--300. https://doi.org/10.1136/bjsm.2006.030536
Myers, N. L., Aguilar, K. V., Mexicano, G., Farnsworth, J. L., Knudson, D., & Kibler, W. B. (2020). The Acute: Chronic Workload Ratio Is Associated with Injury in Junior Tennis Players. Medicine and science in sports and exercise, 52(5), 1196-1200. https://doi.org/10.1249/mss.0000000000002215
Myers, N. L., Farnsworth, J. L., & Knudson, D. V. (2020). Different external workload models and the association with injury in competitive junior tennis players. Unpublished manuscript.
Myers, N. L., Kibler, W. B., Axtell, A. H., & Uhl, T. L. (2019). The Sony Smart Tennis Sensor accurately measures external workload in junior tennis players. International Journal of Sports Science & Coaching, 14(1), 24-31. https://doi.org/10.1177/1747954118805278
Oracle. (2018). How UTR Works. Retrieved n.d. from https://www.myutr.com/
Reid, M., & Morris, C. (2013). Ranking benchmarks of top 100 players in men's professional tennis. European Journal of Sport Science, 13(4), 350-355. https://doi.org/10.1080/17461391.2011.608812
Reid, M., Quinlan, G., Kearney, S., & Jones, D. (2009). Planning and periodization for the elite junior tennis player. Strength and Conditioning Journal, 31(4), 69-76. https://doi.org/10.1519/ssc.0b013e3181afc98d
Salonikidis, K., & Zafeiridis, A. (2008). The effects of plyometric, tennis-drills, and combined training on reaction, lateral and linear speed, power, and strength in novice tennis players. Journal of Strength and Conditioning Research, 22(1), 182-191. https://doi.org/10.1519/jsc.0b013e31815f57ad
Soligard, T., Schwellnus, M., Alonso, J.-M., Bahr, R., Clarsen, B., Dijkstra, H. P., Gabbett, T., Gleeson, M., Hagglund, M., Hutchinson, M. R., van Rensburg, C. J., Khan, K. M., Meeusen, R., Orchard, J. W., Pluim, B. M., Raftery, M., Budgett, R., & Engebretsen, L. (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, 1030-1041. https://doi.org/10.1136/bjsports-2016-096581
Timoteo, T. F., Debien, P. B., Miloski, B., Werneck, F. Z., Gabbett, T., & Bara Filho, M. G. (2018). Influence of workload and recovery on injuries in elite male volleyball players. Journal of Strength and Conditioning Research. https://doi.org/10.1519/jsc.0000000000002754
Vickery, W. M., Dascombe, B. J., Baker, J. D., Spratford, W. A., Higham, D. G., & Duffield, R. (2014). Accuracy and reliability of GPS devices for measurement of sports-specific movement patterns related to cricket, tennis, and field-based team sports. Journal of Strength and Conditioning Research, 28(6), 1697-1705. https://doi.org/10.1519/jsc.0000000000000285
Wallace, L., Coutts, A., Bell, J., Simpson, N., & Slattery, K. (2008). Using session-RPE to monitor training load in swimmers. Strength and Conditioning Journal, 30(6), 72-76. https://doi.org/10.1519/ssc.0b013e31818eed5f
Warren, A., Williams, S., McCaig, S., & Trewartha, G. (2018). High acute:chronic workloads are associated with injury in England & Wales Cricket Board Development Programme fast bowlers. Journal of Science and Medicine in Sport, 21(1), 40-45. https://doi.org/10.1016/j.jsams.2017.07.009
Windt, J., & Gabbett, T. J. (2018). Is it all for naught? What does mathematical coupling mean for acute:chronic workload ratios? British Journal of Sports Medicine, 53, 988-990. https://doi.org/10.1136/bjsports-2017-098925
DOI: https://doi.org/10.14198/jhse.2022.174.03
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