Assessment of movement variability and time in a football reactive agility task depending on constraints

References

• Andrašić, S., Gušić, M., Stanković, M., Mačak, D., Bradić, A., Sporiš, G., & Trajković, N. (2021). Speed, change of direction speed and reactive agility in adolescent soccer players: Age related differences. International Journal of Environmental Research and Public Health, 18(11), 5883. https://doi.org/10.3390/ijerph18115883
   PubMed Web of Science ®Google Scholar
• Bastida Castillo, A., Gómez Carmona, C. D., Pino Ortega, J., & de La Cruz Sánchez, E. (2017). Validity of an inertial system to measure sprint time and sport task time: A proposal for the integration of photocells in an inertial system. International Journal of Performance Analysis in Sport, 17(4), 600–608. https://doi.org/10.1080/24748668.2017.1374633
   Web of Science ®Google Scholar
• Bekris, E., Gissis, I., & Kounalakis, S. (2018). The dribbling agility test as a potential tool for evaluating the dribbling skill in young soccer players. Research in Sports Medicine, 26(4), 425–435. https://doi.org/10.1080/15438627.2018.1492395
   PubMed Web of Science ®Google Scholar
• Bloomfield, J., Polman, R., & O’Donoghue, P. (2007). Physical demands of different positions in FA premier league soccer. Journal of Sports Science and Medicine, 6(1), 63–70.
   PubMed Web of Science ®Google Scholar
• Caballero, C., Davids, K., Heller, B., Wheat, J., & Moreno, F. J. (2019). Movement variability emerges in gait as adaptation to task constraints in dynamic environments. Gait & Posture, 70, 1–5. https://doi.org/10.1016/j.gaitpost.2019.02.002
   PubMed Web of Science ®Google Scholar
• Caballero Sánchez, C., Barbado Murillo, D., Davids, K., & Moreno Hernández, F. J. (2016). Variations in task constraints shape emergent performance outcomes and complexity levels in balancing. Experimental Brain Research, 234(6), 1611–1622. https://doi.org/10.1007/s00221-016-4563-2
   PubMed Web of Science ®Google Scholar
• Caballero Sánchez, C., Barbado Murillo, F., & Moreno Hernández, F. (2014). Non-linear tools and methodological concerns measuring human movement variability: An overview. European Journal of Human Movement, 32, 61–81. https://doi.org/10.21134/eurjhm.2014.32.319
   Google Scholar
• Conte, D., Scanlan, A. T., Dalbo, V. J., Gang, S. Z., Smith, M. R., Bietkis, T., & Matulaitis, K. (2020). Dribble deficit quantifies dribbling speed independently of sprinting speed and differentiates between age categories in pre-adolescent basketball players. Biology of Sport, 37(3), 261–267. https://doi.org/10.5114/biolsport.2020.95637
   PubMed Web of Science ®Google Scholar
• Couceiro, M., Clemente, F., Dias, G., Mendes, P., Martins, F., & Mendes, R. (2014). On an entropy-based performance analysis in sports. On an Entropy-Based Performance Analysis in Sports, 20. https://doi.org/10.3390/ecea-1-a008
   Google Scholar
• Datson, N., Hulton, A., Andersson, H., Lewis, T., Weston, M., Drust, B., & Gregson, W. (2014). Applied physiology of female soccer: An update. Sports Medicine, 44(9), 1225–1240. https://doi.org/10.1007/s40279-014-0199-1
   PubMed Web of Science ®Google Scholar
• Dhawale, A. K., Smith, M. A., & Ölveczky, B. P. (2017). The role of variability in motor learning. Annual Review of Neuroscience, 40(May), 479–498. https://doi.org/10.1146/annurev-neuro-072116-031548
   PubMedGoogle Scholar
• Edwards, S., White, S., Humphreys, S., Robergs, R., & O’Dwyer, N. (2018). Caution using data from triaxial accelerometers housed in player tracking units during running. Journal of Sports Sciences, 37(7), 810–818. https://doi.org/10.1080/02640414.2018.1527675
   PubMed Web of Science ®Google Scholar
• Fernández-Valdés, B., Jones, B., Hendricks, S., Weaving, D., Ramirez-Lopez, C., Whitehead, S., Gonzalez, J., Gisbert-Orozco, J., Trabucchi, M., & Moras, G. (2022). A novel application of entropy analysis for assessing changes in movement variability during cumulative tackles in young elite rugby league players. Biology of Sport, 40(1), 161–170. https://doi.org/10.5114/biolsport.2023.112965
   PubMedGoogle Scholar
• Fernández-Valdés, B., Sampaio, J., Exel, J., González, J., Tous-Fajardo, J., Jones, B., & Moras, G. (2020). The influence of functional flywheel resistance training on movement variability and movement velocity in elite rugby players. Frontiers in Psychology, 11(June). https://doi.org/10.3389/fpsyg.2020.01205
   Google Scholar
• Fiorilli, G., Iuliano, E., Mitrotasios, M., Pistone, E. M., Aquino, G., DiCostanzo, A., Calcagno, G., & DiCagno, A. (2017). Are change of direction speed and reactive agility useful for determining the optimal field position for young soccer players? Journal of Sports Science and Medicine, 16(2), 247–253.
   PubMed Web of Science ®Google Scholar
• Fiorilli, G., Mitrotasios, M., Iuliano, E., Pistone, E. M., Aquino, G., Calcagno, G., & DiCagno, A. (2017). Agility and change of direction in soccer: Differences according to the player ages. Journal of Sports Medicine & Physical Fitness, 57(12), 1597–1604. https://doi.org/10.23736/S0022-4707.16.06562-2
   PubMed Web of Science ®Google Scholar
• Fusca, M., Negrini, F., Perego, P., Magoni, L., Molteni, F., & Andreoni, G. (2018). Validation of a wearable IMU system for gait analysis: Protocol and application to a new system. Applied Sciences (Switzerland), 8(7), 1–16. https://doi.org/10.3390/app8071167
   Web of Science ®Google Scholar
• Goldberger, A. L., Amaral, L. A. N., Glass, L., Hausdorff, J. M., Ivanov, P. C., Mark, R. G., Mietus, J. E., Moody, G. B., Peng, C., & Stanley, H. E. (2000). PhysioBank, PhysioToolkit, and PhysioNet. Components of a new research resource for complex physiologic signals. Circulation, 101(23), e215–220. https://doi.org/10.1161/01.CIR.101.23.e215
   PubMed Web of Science ®Google Scholar
• Gómez-Carmona, C. D., Bastida-Castillo, A., García-Rubio, J., Ibáñez, S. J., & Pino-Ortega, J. (2018). Static and dynamic reliability of WIMU PROTM accelerometers according to anatomical placement. Proceedings of the Institution of Mechanical Engineers, Part P: Journal of Sports Engineering & Technology, 233(2), 238–248. https://doi.org/10.1177/1754337118816922
   Web of Science ®Google Scholar
• Gómez-Carmona, C. D., Bastida-Castillo, A., González-Custodio, A., Olcina, G., & Pino-Ortega, J. (2020). Using an inertial device (WIMU PRO) to quantify neuromuscular load in running: Reliability, convergent validity, and influence of type of surface and device location. The Journal of Strength & Conditioning Research, 34(2), 365–373. https://doi.org/10.1519/JSC.0000000000003106
   PubMed Web of Science ®Google Scholar
• Guimarães, A. N., Ugrinowitsch, H., Dascal, J. B., Porto, A. B., & Okazaki, V. H. A. (2020). Freezing degrees of freedom during motor learning: A systematic review. Motor Control, 24(3), 457–471. https://doi.org/10.1123/MC.2019-0060
   PubMed Web of Science ®Google Scholar
• Hamilton, G. R., & Reinschmidt, C. (2010). Optimal trajectory for the basketball free throw. Journal of Sports Science and Medicine, 15(5), 491–504. https://doi.org/10.1080/026404197367137
   Google Scholar
• Harbourne, R. T., & Stergiou, N. (2009). Movement variability and the use of nonlinear tools: Principles to guide physical therapist practice. Physical Therapy, 89(3), 267–282. https://doi.org/10.2522/ptj.20080130
   PubMed Web of Science ®Google Scholar
• Hojka, V., Stastny, P., Rehak, T., Gołas, A., Mostowik, A., Zawart, M., & Musálek, M. (2016). A systematic review of the main factors that determine agility in sport using structural equation modeling. Journal of Human Kinetics, 52(1), 115–123. https://doi.org/10.1515/hukin-2015-0199
   PubMed Web of Science ®Google Scholar
• Krolo, A., Gilic, B., Foretic, N., Pojskic, H., Hammami, R., Spasic, M., Uljevic, O., Versic, S., & Sekulic, D. (2020). Agility testing in youth football (soccer)players; evaluating reliability, validity, and correlates of newly developed testing protocols. International Journal of Environmental Research and Public Health, 17(1), 294. https://doi.org/10.3390/ijerph17010294
   PubMed Web of Science ®Google Scholar
• Langdown, B. L., Bridge, M., & Li, F. X. (2012). Movement variability in the golf swing. Sports Biomechanics, 11(2), 273–287. https://doi.org/10.1080/14763141.2011.650187
   PubMed Web of Science ®Google Scholar
• Menayo, R., Fuentes, J. P., Moreno, F. J., Reina, R., & García, J. A. (2010). Relación entre variabilidad de la práctica y variabilidad en la ejecución del servicio plano en tenis. Relación Entre Variabilidad de La Práctica y Variabilidad En La Ejecución Del Servicio Plano En Tenis, 25, 75–92.
   Google Scholar
• Menayo, R., Moreno, F. J., Fuentes, J. P., Reina, R., & Damas, J. S. (2012). Relationship between motor variability, accuracy, and ball speed in the tennis serve. Journal of Human Kinetics, 33(1), 45–53. https://doi.org/10.2478/v10078-012-0043-3
   PubMedGoogle Scholar
• Mendes, P. C., Fuentes, J. P., Mendes, R., Martins, F. M. L., Clemente, F. M., & Couceiro, M. S. (2013). The variability of the serve toss in tennis under the influence of artificial crosswind. Journal of Sports Science & Medicine, 12(2), 309–315.
   PubMed Web of Science ®Google Scholar
• Moras, G., Fernández-Valdés, B., Vázquez-Guerrero, J., Tous-Fajardo, J., Exel, J., & Sampaio, J. (2018). Entropy measures detect increased movement variability in resistance training when elite rugby players use the ball. Journal of Science & Medicine in Sport, 21(12), 1286–1292. https://doi.org/10.1016/j.jsams.2018.05.007
   PubMed Web of Science ®Google Scholar
• Morral, M., Moras, G., Bishop, C., & Gonzalo-Skok, O. (2020). Assessing the reliability and validity of agility testing in team sports: A systematic review. The Journal of Strength & Conditioning Research. https://doi.org/10.1519/JSC.0000000000003753
   Google Scholar
• Myklebust, H., Gløersen, Ø., & Hallén, J. (2015). Validity of ski skating center-of-mass displacement measured by a single inertial measurement unit. Journal of Applied Biomechanics, 31(6), 492–498. https://doi.org/10.1123/jab.2015-0081
   PubMed Web of Science ®Google Scholar
• Newell, K., & James, E. G. (2008). The amount and structure of human movement variability. In Y. Hong & R. Bartlett (Eds.), Handbook of biomechanics and human movement science (pp. 93–104). Routledge.
   Google Scholar
• Orellana, J. N., & De La Cruz Torres, B. (2010). La entropía y la irreversibilidad temporal multiescala en el análisis de sistemas complejos en fisiología humana. Revista Andaluza de Medicina Del Deporte, 3(1), 29–32.
   Google Scholar
• Paul, D. J., Gabbett, T. J., & Nassis, G. P. (2015). Agility in team sports: Testing, training and factors affecting performance. Sports Medicine, 46(3), 421–442. https://doi.org/10.1007/s40279-015-0428-2
   Web of Science ®Google Scholar
• Pérez-Chirinos, C., Fernández-Valdés, B., Morral-Yepes, M., Tuyà, S., Padullés, J. M., & Moras, G. (2021). Validity of a magnet ‐ based timing system using the magnetometer built into an IMU. Sensors, 21(17), 5773. https://doi.org/10.3390/s21175773
   PubMed Web of Science ®Google Scholar
• Pino-Ortega, J., Bastida-Castillo, A., Hernández-Belmonte, A., & Gómez-Carmona, C. D. (2019). Validity of an inertial device for measuring linear and angular velocity in a leg extension exercise. Proceedings of the Institution of Mechanical Engineers, Part P: Journal of Sports Engineering & Technology, 234(1), 30–36. https://doi.org/10.1177/1754337119878296
   Web of Science ®Google Scholar
• Pojskic, H., Åslin, E., Krolo, A., Jukic, I., Uljevic, O., Spasic, M., & Sekulic, D. (2018). Importance of reactive agility and change of direction speed in differentiating performance levels in junior soccer players: Reliability and validity of newly developed soccer-specific tests. Frontiers in Physiology, 9(May), 1–11. https://doi.org/10.3389/fphys.2018.00506
   PubMedGoogle Scholar
• Ramirez-Campillo, R., Gentil, P., Moran, J., Dalbo, V. J., & Scanlan, A. T. (2021). Dribble deficit enables measurement of dribbling speed independent of sprinting speed in collegiate, male, basketball players. The Journal of Strength & Conditioning Research, 35(7), 2040–2045. https://doi.org/10.1519/JSC.0000000000003030
   PubMed Web of Science ®Google Scholar
• Richman, J. S., & Moorman, J. R. (2000). Physiological time-series analysis using approximate and sample entropy. American Journal of Physiology - Heart and Circulatory Physiology, 278(6), 2039–2049. https://doi.org/10.1152/ajpheart.2000.278.6.h2039
   PubMed Web of Science ®Google Scholar
• Robalo, R. A. M., Diniz, A. M. F. A., Fernandes, O., & Passos, P. J. M. (2020). The role of variability in the control of the basketball dribble under different perceptual setups. European Journal of Sport Science, 21(4), 521–530. https://doi.org/10.1080/17461391.2020.1759695
   PubMed Web of Science ®Google Scholar
• Robins, M. (2006). The effect of shooting distance on movement variability in basketball. Journal of Human Movement Studies, 50(4), 217–238.
   Google Scholar
• Scanlan, A. T., Wen, N., Spiteri, T., Milanović, Z., Conte, D., Guy, J. H., Delextrat, A., & Dalbo, V. J. (2018). Dribble deficit: A novel method to measure dribbling speed independent of sprinting speed in basketball players. Journal of Sports Sciences, 36(22), 2596–2602. https://doi.org/10.1080/02640414.2018.1470217
   PubMed Web of Science ®Google Scholar
• Seifert, L., Button, C., & Davids, K. (2013). Key properties of expert movement systems in sport: An ecological dynamics perspective. Sports Medicine, 43(3), 167–178. https://doi.org/10.1007/s40279-012-0011-z
   PubMed Web of Science ®Google Scholar
• Sheppard, J., & Young, W. (2006). Agility literature review: Classifications, training and testing. Journal of Sports Sciences, 24(9), 919–932. https://doi.org/10.1080/02640410500457109
   PubMed Web of Science ®Google Scholar
• Stergiou, N. (2016). Nonlinear analysis for human movement variability (N. Stergiou ed.; 1st ed.). CRC Press (Taylor & Francis Group).
   Google Scholar
• Stergiou, N., Harbourne, R. T., & Cavanaugh, J. T. (2006). Optimal movement variability: A new theoretical perspective for neurologic physical therapy. Journal of Neurologic Physical Therapy, 30(3), 120–129. https://doi.org/10.1097/01.NPT.0000281949.48193.d9
   PubMedGoogle Scholar
• Sternad, D. (2018). It’s not (only) the mean that matters: Variability, noise and exploration in skill learning. Current Opinion in Behavioral Sciences, 20, 183–195. https://doi.org/10.1016/j.cobeha.2018.01.004
   PubMed Web of Science ®Google Scholar
• Sutter, K., Wijdenes, L. O., Van Beers, R. J., & Medendorp, W. P. (2021). Movement preparation time determines movement variability. Journal of Neurophysiology, 125(6), 2375–2383. https://doi.org/10.1152/jn.00087.2020
   PubMed Web of Science ®Google Scholar
• Trecroci, A., Longo, S., Perri, E., Iaia, F. M., & Alberti, G. (2018). Field-based physical performance of elite and sub-elite middle-adolescent soccer players. Research in Sports Medicine, 27(1), 60–71. https://doi.org/10.1080/15438627.2018.1504217
   PubMed Web of Science ®Google Scholar
• Urbán, T., Caballero, C., Barbado, D., Moreno, F. J., & Philip, B. A. (2019). Do intentionality constraints shape the relationship between motor variability and performance? PLos One, 14(4), 1–14. https://doi.org/10.1371/journal.pone.0214237
   Web of Science ®Google Scholar
• Urbán Infantes, T., Hernández Davó, H., & Moreno Hernández, F. (2012). Variabilidad cinemática en relación con el rendimiento en el saque en jóvenes tenistas. Variabilidad Cinemática En Relación Con El Rendimiento En El Saque En Jóvenes Tenistas, 29(29), 49–60.
   Google Scholar
• Vagner, M., Cleather, D. J., Kubový, P., Hojka, V., & Stastny, P. (2022). Principal component analysis can be used to discriminate between elite and sub-elite kicking performance. Motor Control, 27(2), 1–19. https://doi.org/10.1123/mc.2022-0073
   PubMed Web of Science ®Google Scholar
• Vaillancourt, D. E., & Newell, K. M. (2002). Changing complexity in human behavior and physiology through aging and disease. Neurobiology of Aging, 23(1), 1–11. https://doi.org/10.1016/S0197-4580(01)00247-0
   PubMed Web of Science ®Google Scholar
• Vaillancourt, D. E., & Newell, K. M. (2003). Aging and the time and frequency structure of force output variability. Journal of Applied Physiology, 94(3), 903–912. https://doi.org/10.1152/japplphysiol.00166.2002
   PubMed Web of Science ®Google Scholar
• Vescovi, J. D. (2012a). Sprint profile of professional female soccer players during competitive matches: Female Athletes in Motion (FAiM) study. Journal of Sports Sciences, 30(12), 1259–1265. https://doi.org/10.1080/02640414.2012.701760
   PubMed Web of Science ®Google Scholar
• Vescovi, J. D. (2012b). Sprint speed characteristics of high-level American female soccer players: Female Athletes in Motion (FAiM) study. Journal of Science & Medicine in Sport, 15(5), 474–478. https://doi.org/10.1016/j.jsams.2012.03.006
   PubMed Web of Science ®Google Scholar
• Vescovi, J. D., & Falenchuk, O. (2019). Contextual factors on physical demands in professional women’s soccer: Female athletes in motion study. European Journal of Sport Science, 19(2), 141–146. https://doi.org/10.1080/17461391.2018.1491628
   PubMed Web of Science ®Google Scholar
• Wang, W., Feng, Q., Shangxiao, L., & Wang, L. (2021). Effects of motor skill level and speed on movement variability during running. Journal of Biomechanics, 127, 110680. https://doi.org/10.1016/j.jbiomech.2021.110680
   PubMed Web of Science ®Google Scholar
• Wilkinson, R. D., & Lichtwark, G. A. (2021). Evaluation of an inertial measurement unit-based approach for determining centre-of-mass movement during non-seated cycling. Journal of Biomechanics, 126, 110441. https://doi.org/10.1016/j.jbiomech.2021.110441
   PubMed Web of Science ®Google Scholar
• Wolfgang, S., & Fabian, H. (2019). Effects of complex movements on the brain as a result of increased decision-making. Journal of Complexity in Health Sciences, 2(2), 40–45. https://doi.org/10.21595/chs.2019.21190
   Google Scholar
• Zeljko, I., Gilic, B., & Sekulic, D. (2020). Validity, reliability and correlates of futsal-specific pre-planned and non-planned agility testing protocols. Kinesiologia Slovenica, 26(2), 25–34. https://doi.org/10.52165/kinsi.26.2.25-34
   Web of Science ®Google Scholar