Training Monitoring With GPS Data and Subjective Measures of Fatigue and Recovery in Honduran Soccer Players During a Preparatory Period for Tokyo 2020/2021 Olympic Games
DOI:
https://doi.org/10.15359/mhs.20-2.3Keywords:
global positioning system, training load, fatigue, recovery, footballAbstract
Background: Training monitoring is essential to optimize performance. Therefore, methodologies that improve the preparation of national teams in events such as the Olympic Games should be documented.
Purpose: To determine whether GPS data, in combination with subjective measures of well-being, fatigue, and recovery, are appropriate for load monitoring during a preparatory period for the Olympic Games.
Methodology: Twenty-two under-23 professional players participated during 5 micro-cycles and 27 training sessions. External load data was collected via a global positioning system (GPS): Total distance (DT), performance zones Z0 (0-15 km/h), Z1 (15.1-18 km/h), Z2 (18.1 -24 km/h), Z3 (>24.1 km/h), maximum speed (km/h), accelerations (>2.5m/s2) and decelerations (<2.5m/s2). Also, the internal load was obtained through subjective measures of Rating Perceived Exertion (RPE), Total Quality Recovery (TQR), Readiness to Train (RTT%) obtained from the sleep quality, muscle pain, energy levels, mood, stress, food quality, and health. The subjective rate of fatigue-recovery (F-R) was then calculated. An ANOVA test, Principal Component Analysis (PCA), and multiple linear regression were applied.
Results: the variables DT (p=0.00 ES=0.22), Z0 (p= 0.00 TE=0.08), Z2 (p=0.00 ES= 0.05), maximum speed (p= 0.00 ES=0.42), sum of acceleration and deceleration (p=0.00 ES=0.08) and values relative to load/min (p=0.00 ES=0.17) were identified as variables more sensitive to load change between micro-cycles. RTT% and subjective rate F-R showed a moderate effect size (p=0.04 ES=0.06 and p=0.06 ES=0.06), but were sensitive to change between micro-cycles. PCA extracted 15 GPS variables and 11 subjective variables that explained 78% of the training load variance.
Conclusion: Using GPS data together with subjective measures involved in fatigue-recovery may be a good strategy to monitor the training load in soccer players.
References
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. https://doi.org/10.1080/02640410902998239
Akenhead, R., & Nassis, G. P. (2016). Training Load and Player Monitoring in High-Level Football: Current Practice and Perceptions. International Journal of Sports Physiology and Performance, 11(5), 587–593. https://doi.org/10.1123/IJSPP.2015-0331
Akyildiz, Z., Clemente, F. M., Şentürk, D., Gürol, B., Yildiz, M., Ocak, Y., & Günay, M. (2022). Investigation of the convergent validity and reliability of unit position differences of Catapult S5 GPS units in field conditions. Journal of Sports Engineering and Technology. https://doi.org/10.1177/17543371221100592
Aughey, R. J. (2011). Applications of GPS Technologies to Field Sports. International Journal of Sports Physiology and Performance, 6(3), 295–310. https://doi.org/10.1123/IJSPP.6.3.295
Bolotin, A., & Bakayev, V. (2017). Pedagogical conditions necessary for effective speed-strength training of young football players (15-17 years old). Journal of Human Sport and Exercise, 12(2), 405–413. http://dx.doi.org/10.14198/jhse.2017.122.17
Borresen, J., & Ian Lambert, M. (2012). The Quantification of Training Load, the Training Response and the Effect on Performance. Sports Medicine, 39(9), 779–795. https://doi.org/10.2165/11317780-000000000-00000
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(5), 452–459. https://doi.org/10.1136/BJSPORTS-2015-095820
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. https://doi.org/10.1123/IJSPP.6.3.311
Clemente, F. M., Rabbani, A., Conte, D., Castillo, D., Afonso, J., Clark, C. C. T., Nikolaidis, P. T., Rosemann, T., & Knechtle, B. (2019). Training/Match External Load Ratios in Professional Soccer Players: A Full-Season Study. International Journal of Environmental Research and Public Health, 16(17), 3057. https://doi.org/10.3390/IJERPH16173057
Cohen J. (1988). Statistical Power Analysis for the Behavioural Science (2nd Edition). In Statistical Power Anaylsis for the Behavioural Science (2nd Edition).
Coppalle, S., Rave, G., Ben Abderrahman, A., Ali, A., Salhi, I., Zouita, S., Zouita, A., Brughelli, M., Granacher, U., & Zouhal, H. (2019). Relationship of pre-season training load with in-season biochemical markers, injuries and performance in professional soccer players. Frontiers in Physiology, 10, 409. https://doi.org/10.3389/fphys.2019.00409
Coutts, A. J., Quinn, J., Hocking, J., Castagna, C., & Rampinini, E. (2010). Match running performance in elite Australian Rules Football. Journal of Science and Medicine in Sport, 13(5), 543–548. https://doi.org/10.1016/J.JSAMS.2009.09.004
Coutts, A. J., Rampinini, E., Marcora, S. M., Castagna, C., & Impellizzeri, F. M. (2009). Heart rate and blood lactate correlates of perceived exertion during small-sided soccer games. Journal of Science and Medicine in Sport, 12(1), 79-84. https://doi.org/10.1016/j.jsams.2007.08.005
Crowcroft, S., McCleave, E., Slattery, K., & Coutts, A. J. (2017). Assessing the Measurement Sensitivity and Diagnostic Characteristics of Athlete-Monitoring Tools in National Swimmers. International Journal of Sports Physiology and Performance, 12(s2), S2-95. https://doi.org/10.1123/IJSPP.2016-0406
Cullen, B. D., McCarren, A. L., & Malone, S. (2021). Ecological validity of self-reported wellness measures to assess pre-training and pre-competition preparedness within elite Gaelic football. Sport Sciences for Health, 17(1), 163–172. https://doi.org/10.1007/s11332-020-00667-x
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. https://doi.org/10.1007/S40279-013-0069-2/TABLES/3
Dalen, T., JØrgen, I., Gertjan, E., Havard, H. G., & Ulrik, W. (2016). Player load, acceleration, and deceleration during forty-five competitive matches of elite soccer. Journal of Strength and Conditioning Research, 30(2), 351–359. https://doi.org/10.1519/JSC.0000000000001063
De Beéck, T. O., Jaspers, A., Brink, M. S., Frencken, W., Staes, F., Davis, J. J., & Helsen, W. F. (2019). Predicting Future Perceived Wellness in Professional Soccer: The Role of Preceding Load and Wellness. International Journal of Sports Physiology and Performance, 14(8), 1074–1080. https://doi.org/10.1123/IJSPP.2017-0864
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. https://doi.org/10.1007/S40279-015-0459-8/TABLES/4
Fortes, L. de S., Vianna, J. M., Silva, D. M. dos S., de Gouvêa, M. A., & Cyrino, E. S. (2016). Effects of tapering on maximum aerobic power in indoor soccer players. Revista Brasileira de Cineantropometria & Desempenho Humano, 18(3), 341–352. https://doi.org/10.5007/1980-0037.2016V18N3P341
Foster, C., & Lehmann, M. (1998a). Monitoring training in athletes with reference to overtraining syndrome. Medicine and Science in Sports and Exercise, 30(7), 1164-1168. https://doi.org/10.1097/00005768-199807000-00023
Foster, C., & Lehmann, M. (1998b). Monitoring training in athletes with reference to overtraining syndrome. Medicine and Science in Sports and Exercise, 30(7), 1164.1168. https://doi.org/10.1097/00005768-199807000-00023
Gabbett, T. J., Nassis, G. P., Oetter, E., Pretorius, J., Johnston, N., Medina, D., Rodas, G., Myslinski, T., Howells, D., Beard, A., & Ryan, A. (2017). The athlete monitoring cycle: a practical guide to interpreting and applying training monitoring data. British Journal of Sports Medicine, 51(20), 1451–1452. https://doi.org/10.1136/BJSPORTS-2016-097298
Harper, Damian J., Carling, C., & Kiely, J. (2019). High-Intensity Acceleration and Deceleration Demands in Elite Team Sports Competitive Match Play: A Systematic Review and Meta-Analysis of Observational Studies. Sports Medicine, 49(12), 1923–1947. https://doi.org/10.1007/S40279-019-01170-1/FIGURES/6
Hoppe, M. W., Slomka, M., Baumgart, C., Weber, H., & Freiwald, J. (2015). Match running performance and success across a season in German Bundesliga soccer teams. International Journal of Sports Medicine, 36(7), 563–566. https://doi.org/10.1055/S-0034-1398578/ID/R4296-0017
Howle, K., Waterson, A., & Duffield, R. (2019). Recovery profiles following single and multiple matches per week in professional football. European Journal of Sports Science, 19(10), 1303–1311. https://doi.org/10.1080/17461391.2019.1601260
Impellizzeri, F. M., Marcora, S. M., & Coutts, A. J. (2019). Internal and External Training Load: 15 Years On. International Journal of Sports Physiology and Performance, 14(2), 270–273. https://doi.org/10.1123/IJSPP.2018-0935
Jaspers, A., Kuyvenhoven, J. P., Staes, F., Frencken, W. G. P., Helsen, W. F., & Brink, M. S. (2018). Examination of the external and internal load indicators’ association with overuse injuries in professional soccer players. Journal of Science and Medicine in Sport, 21(6), 579–585. https://doi.org/10.1016/J.JSAMS.2017.10.005
Kaiser, H. F. (1960). The Application of Electronic Computers to Factor Analysis. Educational and Psychological Measurement, 20(1), 141–151. https://doi.org/10.1177/001316446002000116
Kenttä, G., & Hassmén, P. (1998). Overtraining and Recovery. Sports Medicine, 26(1), 1–16. https://doi.org/10.2165/00007256-199826010-00001
Le Meur, Y., Hausswirth, C., & Mujika, I. (2012). Tapering for competition: A review. Science & Sports, 27(2), 77–87. https://doi.org/10.1016/J.SCISPO.2011.06.013
Liu, T., Yang, L., Chen, H., & García-de-Alcaraz, A. (2021). Impact of Possession and Player Position on Physical and Technical-Tactical Performance Indicators in the Chinese Football Super League. Frontiers in Psychology, 12. https://doi.org/10.3389/fpsyg.2021.722200
Mallo Sainz, J. (2011). Effect of block periodization on performance in competition in a soccer team during four consecutive seasons: A case study. International Journal of Performance Analysis in Sport, 11(3), 476–485. https://doi.org/10.1080/24748668.2011.11868566
Mangan, S., Ryan, M., Shovlin, A., McGahan, J., Malone, S., O’Neill, C., Burns, C., & Collins, K. (2019). Seasonal changes in gaelic football match-play running performance. Journal of Strength and Conditioning Research, 33(6), 1685–1691. https://doi.org/10.1519/JSC.0000000000002269
Marzouki, H., Ouergui, I., Cherni, B., Ben Ayed, K., & Bouhlel, E. (2022). Effects of different sprint training programs with ball on explosive, high-intensity and endurance-intensive performances in male young soccer players. International Journal of Sports Science & Coaching, 18(1), 123–131. https://doi.org/10.1177/17479541211072225
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
Nicolella, D. P., Torres-Ronda, L., Saylor, K. J., & Schelling, X. (2018). Validity and reliability of an accelerometer-based player tracking device. PloS One, 13(2). https://doi.org/10.1371/JOURNAL.PONE.0191823
Nikolaidis, P. T., Clemente, F. M., van der Linden, C. M. I., Rosemann, T., & Knechtle, B. (2018). Validity and Reliability of 10-Hz Global Positioning System to Assess In-line Movement and Change of Direction. Frontiers in Physiology, 9, 228. https://doi.org/10.3389/FPHYS.2018.00228
O’Connor, F., Thornton, H. R., Ritchie, D., Anderson, J., Bull, L., Rigby, A., Leonard, Z., Stern, S., & Bartlett, J. D. (2020). Greater Association of Relative Thresholds Than Absolute Thresholds With Noncontact Lower-Body Injury in Professional Australian Rules Footballers: Implications for Sprint Monitoring. International Journal of Sports Physiology and Performance, 15(2), 204–212. https://doi.org/10.1123/IJSPP.2019-0015
Oliva-Lozano, J. M., Rojas-Valverde, D., Gómez-Carmona, C. D., Fortes, V., & Pino-Ortega, J. (2021). Impact of contextual variables on the representative external load profile of Spanish professional soccer match-play: A full season study. European Journal of Sport Science, 21(4), 497–506. https://doi.org/10.1080/17461391.2020.1751305
Osiecki, R., Rubio, T. B. G., Coelho, R. L., Novack, L. F., Conde, J. H. S., Alves, C. G., & Malfatti, C. R. M. (2015). The Total Quality Recovery Scale (TQR) as a proxy for determining athletes’ recovery state after a professional soccer match. Journal of Exercise Physiology Online, 18(3), 27–33. https://go.gale.com/ps/i.do?p=HRCA&sw=w&issn=10979751&v=2.1&it=r&id=GALE%7CA419268282&sid=googleScholar&linkaccess=fulltext
Owen, A. L., Djaoui, L., Newton, M., Malone, S., & Mendes, B. (2017). A contemporary multi-modal mechanical approach to training monitoring in elite professional soccer. Science and Medicine in Football, 1(3), 216–221. https://doi.org/10.1080/24733938.2017.1334958
Owen, A. L., Dunlop, G., Rouissi, M., Haddad, M., Mendes, B., & Chamari, K. (2016). Analysis of positional training loads (ratings of perceived exertion) during various-sided games in European professional soccer players. International Journal of Sports Science & Coaching, 11(3), 374–381. https://doi.org/10.1177/1747954116644064
Racinais, S., Mohr, M., Buchheit, M., Voss, S. C., Gaoua, N., Grantham, J., & Nybo, L. (2012). Individual responses to short-term heat acclimatisation as predictors of football performance in a hot, dry environment. British Journal of Sports Medicine, 46(11), 810–815. https://doi.org/10.1136/BJSPORTS-2012-091227
Rago, V., Brito, J., Figueiredo, P., Costa, J., Barreira, D., Krustrup, P., & Rebelo, A. (2019). Methods to collect and interpret external training load using microtechnology incorporating GPS in professional football: a systematic review. Research in Sports Medicine, 28(3), 437–458. https://doi.org/10.1080/15438627.2019.1686703
Romero-Caballero, A., Varela-Olalla, D., Collado-Lázaro, I., & Álvarez-Salvador, D. (2021). Technical staff structure, planning methods, methodological practices and load management in soccer (Estructura de los cuerpos técnicos, métodos de planificación, prácticas metodológicas y gestión de la carga en fútbol). Undefined, 43, 788–796. https://doi.org/10.47197/RETOS.V43I0.89044
Selmi, O., Ouergui, I., Castellano, J., Levitt, D., & Bouassida, A. (2020). Effect of an intensified training period on well-being indices, recovery and psychological aspects in professional soccer players. European Review of Applied Psychology, 70(6), 100603. https://doi.org/10.1016/J.ERAP.2020.100603
Silva, J. R., Rumpf, M. C., Hertzog, M., Castagna, C., Farooq, A., Girard, O., & Hader, K. (2017). Acute and Residual Soccer Match-Related Fatigue: A Systematic Review and Meta-analysis. Sports Medicine 2017 48:3, 48(3), 539–583. https://doi.org/10.1007/S40279-017-0798-8
Sparks, M., Coetzee, B., & Gabbett, T. J. (2017). Internal and External Match Loads of University-Level Soccer Players: A Comparison Between Methods. Journal of Strength and Conditioning Research, 31(4), 1072–1077. https://doi.org/10.1519/JSC.0000000000001560
Tabachnick, B. G., & Fidell, L. S. (2007). Principal components and factor analysis, limitations. Using Multivariate Statistics Vol. 5, 481–498. https://lccn.loc.gov/2017040173
Thorpe, R. T., Strudwick, A. J., Buchheit, M., Atkinson, G., Drust, B., & Gregson, W. (2015). Monitoring Fatigue During the In-Season Competitive Phase in Elite Soccer Players. International Journal of Sports Physiology and Performance, 10(8), 958–964. https://doi.org/10.1123/IJSPP.2015-0004
Vasquez-Bonilla, A. A., Escobar del Cid, F. R., Vasquez, D. G., Timón, R., & Olcina, G. (2019). Influencia de variables antropométricas en la potencia de salto después de una sesión de recuperación activa en jóvenes futbolistas Hondureños. Revista Iberoamericana de Ciencias de La Actividad Física y El Deporte, 8(1), 15-26. https://doi.org/10.24310/riccafd.2019.v8i1.5765
Wahl, P., Güldner, M., & Mester, J. (2014). Effects and Sustainability of a 13-Day High-Intensity Shock Microcycle in Soccer. Journal of Sports Science & Medicine, 13(2), 259. /pmc/articles/PMC3990877/
World Medical Association. (2013). World Medical Association Declaration of Helsinki: Ethical Principles for Medical Research Involving Human Subjects. JAMA, 310(20), 2191–2194. https://doi.org/10.24310/riccafd.2019.v8i1.5765
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