Effects of a small-sided games training program in youth male soccer players: variations of the locomotor profile while interacting with baseline level and with the accumulated load
Tóm tắt
This study aimed to (1) analyze the impact of a small-sided game training program in the locomotor profile of youth male soccer players (while interacting with the baseline level – higher and lower level); and (2) test the relationships between variation in locomotor profile and the accumulated demands in 3v3, 5v5 and match over the period of observation. The cohort lasted 3-weeks. Twenty under-17 male amateur soccer players (16.8 ± 0.41 years; experience: 6.35 ± 0.67 years) were assessed twice for their final velocity at 30−15 intermittent fitness test (VIFT), peak speed at 30-m sprint test (PSS) and anaerobic speed reserve (ASR). The PSS was estimated using a Global Positioning System, while the VIFT was estimated using the maximum level attained by the players during the test. Based on the baseline levels, the scores were standardized using the Z-score. The total score of athleticism (TSA) was calculated per player to organize the players into two groups: lower TSA and higher TSA. Over the three weeks of observation, the small-sided games of 3v3 and 5v5 and match demands were monitored using polar team pro. The heart rate responses (mean and peak), distance covered (overall and split by speed thresholds), and peak speed in these games were obtained and summed over the weeks. The repeated measures ANCOVA tested the variations (time) of the locomotor profile of players while considering the baseline as covariable and the group as a factor. The Pearson-product correlation test analyzed the relationships between variations in locomotor profile (Δ, post-baseline) and the accumulated demands in 3v3, 5v5, and match. Between-groups analysis (lower TSA vs. higher TSA) revealed no significant differences on VIFT (p = 0.915), PSS (p = 0.269), ASR (p = 0.258) and TSA score (p = 0.138). Within-group (baseline vs. post-observation) analysis revealed significant difference on VIFT (p < 0.001), PSS (p = 0.008), while no significant differences were found on ASR (p = 0.949) and TSA score (p = 0.619). Significant correlations were found between ΔPSS and match total distance (r = 0.444; p = 0.050), match Z2 (r = 0.481; p = 0.032) and match Z3 (r = 0.454; p = 0.044). Significant correlations were found between ΔTSA and match total distance (r = 0.457; p = 0.043), match Z1 (r = 0.451; p = 0.046), match Z2 (r = 0.500; p = 0.025) and match Z3 (r = 0.468; p = 0.037). Significant improvements were observed after the period of observation. However, the fitness baseline level and the accumulated training load in the small-sided games seem to have no significant impact on the observed improvements.
Tài liệu tham khảo
Di Salvo V, Gregson W, Atkinson G, Tordoff P, Drust B. Analysis of high intensity activity in Premier League Soccer. Int J Sports Med. 2009;30:205–12.
Teixeira JE, Forte P, Ferraz R, Leal M, Ribeiro J, Silva AJ, et al. Monitoring accumulated training and match load in football: a systematic review. Int J Environ Res Public Health. 2021;18:1–47.
Buchheit M, Mendez-Villanueva A, Simpson BM, Bourdon PC. Match running performance and fitness in Youth Soccer. Int J Sports Med. 2010;31:818–25. doi:https://doi.org/10.1055/s-0030-1262838.
Stolen T, Chamari K, Castagna C. Physiology of soccer: an update. Sport Med. 2005;35:501–36.
Gonçalves LGC, Clemente F, Palucci Vieira LH, Bedo B, Puggina EF, Moura F, et al. Effects of match location, quality of opposition, match outcome, and playing position on load parameters and players’ prominence during official matches in professional soccer players. Hum Mov. 2021;22:35–44. doi:https://doi.org/10.5114/hm.2021.100322.
Baker D, Heaney N, Heaney N. Normative data for maximal aerobic speed for field sport athletes: a brief review. J Aust Strength Cond. 2015;23:60–7.
Helgerud J, Engen LC, Wisløff U, Hoff J. Aerobic endurance training improves soccer performance. Med Sci Sport Exerc. 2001;33:1925–31.
Kalapotharakos VI, Ziogas G, Tokmakidis SP. Seasonal aerobic performance variations in elite soccer players. J Strength Cond Res. 2011;25:1502–7. https://doi.org/10.1519/JSC.0b013e3181da85a9.
Støren Ø, Helgerud J, Johansen J-M, Gjerløw L-E, Aamlid A, Støa EM. Aerobic and anaerobic speed predicts 800-m running performance in young recreational runners. Front Physiol. 2021;12:672141.
Tomlin DL, Wenger HA. The relationship between aerobic fitness and recovery from high intensity intermittent exercise. Sport Med. 2001;31:1–11.
Buchheit M, Mendez-Villanueva A. Changes in repeated-sprint performance in relation to change in locomotor profile in highly-trained young soccer players. J Sports Sci. 2014;32:1309–17.
Mendez-Villanueva A, Buchheit M. Football-specific fitness testing: adding value or confirming the evidence? J Sports Sci. 2013;31:1503–8.
Fernández-Galván LM, Jiménez-Reyes P, Cuadrado-Peñafiel V, Casado A. Sprint performance and mechanical force-velocity profile among different maturational stages in young soccer players. Int J Environ Res Public Health. 2022;19:1412.
Haugen T, Tønnessen E, Hisdal J, Seiler S. The role and development of sprinting speed in soccer. Fac health sport Sci Univ Agder. 2014. doi:https://doi.org/10.1123/ijspp.2013-0121.
Faude O, Koch T, Meyer T. Straight sprinting is the most frequent action in goal situations in professional football. J Sports Sci. 2012;30:625–31.
Sandford GN, Laursen PB, Buchheit M. Anaerobic speed/power reserve and sport performance: scientific basis, current applications and future directions. Sport Med. 2021;51:2017–28. https://doi.org/10.1007/s40279-021-01523-9.
Silva AF, Alvurdu S, Akyildiz Z, Clemente FM. Relationships of final velocity at 30–15 intermittent fitness test and anaerobic speed reserve with body composition, sprinting, change-of-direction and Vertical jumping Performances: a cross-sectional study in youth soccer players. Biology (Basel). 2022;11:197. https://doi.org/10.3390/biology11020197.
Clarke R, Dobson A, Hughes J. Metabolic conditioning. Strength Cond J. 2016;38:38–47.
Meckel Y, Doron O, Eliakim E, Eliakim A. Seasonal variations in physical fitness and performance indices of elite soccer players. Sports. 2018;6:14. https://doi.org/10.3390/sports6010014.
Dragijsky M, Maly T, Zahalka F, Kunzmann E, Hank M. Seasonal variation of agility, speed and endurance performance in young elite soccer players. Sports. 2017;5:12. https://doi.org/10.3390/sports5010012.
Metaxas T, Sendelides T, Koutlianos N, Mandroukas K. Seasonal variation of aerobic performance in soccer players according to positional role. J Sports Med Phys Fitness. 2006;46:520–5.
Manou V, Dalamitros AA, Kellis S. Variations in important aerobic fitness parameters and physical characteristics during two consecutive preseason periods in adolescent soccer players. Hum Mov. 2018;2018:75–81. doi:https://doi.org/10.5114/hm.2018.74062.
Caldwell BBP, Peters DM. Seasonal variation in physiological fitness of a semiprofessional soccer team. J Strength Cond Res. 2009;23:1370–7. https://doi.org/10.1519/JSC.0b013e3181a4e82f.
Bekris E, Mylonis L, Gioldasis A, Gissis IKN. Aerobic and anaerobic capacity of professional soccer players in annual macrocycle. J Phys Edu Sport. 2016;16:527.
Owen AL, Wong DP, Paul D, Dellal A. Effects of a periodized small-sided game training intervention on physical performance in elite professional soccer. J Strength Cond Res. 2012;26:2748–54.
C FM, N PT, R T, Clemente BK, Nikolaidis FM, et al. Dose-response relationship between external load variables, body composition, and fitness variables in professional soccer players. Front Physiol. 2019;10:443. https://doi.org/10.3389/fphys.2019.00443.
Fitzpatrick JF, Hicks KM, Hayes PR. Dose–response relationship between training load and changes in aerobic fitness in professional youth soccer players. Int J Sports Physiol Perform. 2018;13:1365–70. https://doi.org/10.1123/ijspp.2017-0843.
Nobari H, Silva AF, Clemente FM, Siahkouhian M, García-Gordillo M, Adsuar JC, et al. Analysis of fitness status variations of under-16 soccer players over a season and their relationships with maturational status and training load. Front Physiol. 2021;11:1840. https://doi.org/10.3389/fphys.2020.597697.
Campos-Vazquez MA, Toscano-Bendala FJ, Mora-Ferrera JC, Suarez-Arrones LJ, Campos-Vazquez MA, Toscano-Bendala FJ, Mora-Ferrera JC, Suarez-Arrones LJ. Relationship between internal load indicators and changes on intermittent performance after the preseason in professional soccer players. J Strength Cond Res. 2017;31:1477–85. https://doi.org/10.1519/JSC.0000000000001613.
Clemente FM, Silva AF, Alves AR, Nikolaidis PT, Ramirez-Campillo R, Lima R, et al. Variations of estimated maximal aerobic speed in children soccer players and its associations with the accumulated training load: comparisons between non, low and high responders. Physiol Behav. 2020;224:113030. doi:https://doi.org/10.1016/j.physbeh.2020.113030.
Dellal A, Varliette C, Owen A, Chirico EN, Pialoux V. Small-sided games versus interval training in amateur soccer players. J Strength Cond Res. 2012;26:2712–20.
Owen AL, Newton M, Shovlin A, Malone S. The use of small-sided games as an aerobic fitness assessment supplement within elite level professional soccer. J Hum Kinet. 2020;71:243–53. https://doi.org/10.2478/hukin-2019-0086.
Younesi S, Rabbani A, Clemente FM, Silva R, Sarmento H, Figueiredo AJ. Dose-response relationships between training load measures and physical fitness in professional soccer players. Int J Environ Res Public Health. 2021;18:4321.
Mann TN, Lamberts RP, Lambert MI. High responders and low responders: factors associated with individual variation in response to standardized training. Sport Med. 2014;44:1113–24. https://doi.org/10.1007/s40279-014-0197-3.
Atkinson G, Williamson P, Batterham AM. Issues in the determination of ‘responders’ and ‘non-responders’ in physiological research. Exp Physiol. 2019;104:1215–25. doi:https://doi.org/10.1113/EP087712.
Clemente FM, Sarmento H. The effects of small-sided soccer games on technical actions and skills: a systematic review. Hum Mov. 2020;21:100–19. doi:https://doi.org/10.5114/hm.2020.93014.
Clemente FM, Sarmento H. Combining small-sided soccer games and running-based methods: a systematic review. Biol Sport. 2021;38:617–27.
Filipe A, Clemente M, Aquino R, Praça GM, Rico- M, Clemente FM, et al. Variability of internal and external loads and technical/tactical outcomes during small-sided soccer games: a systematic review. Biol Sport. 2022;3:647–72. doi:https://doi.org/10.5114/biolsport.2022.107016.
Bizzini M, Impellizzeri FM, Dvorak J, Bortolan L, Schena F, Modena R, et al. Physiological and performance responses to the “FIFA 11+” (part 1): is it an appropriate warm-up? J Sports Sci. 2013;31:1481–90. doi:https://doi.org/10.1080/02640414.2013.802922.
Turner AN, Jones B, Stewart PF, Bishop C, Parmar N, Chavda S, et al. The total score of athleticism: holistic athlete profiling to enhance decision making. Strength Cond J. 2019;41:91–101.
Haugen T, Tønnessen E, Hisdal J, Seiler S. The role and development of sprinting speed in soccer. Int J Sports Physiol Perform. 2014;9(3):432–41. https://doi.org/10.1123/ijspp.2013-0121.
Buchheit M. The 30–15 intermittent fitness test: accuracy for individualizing interval training of young intermittent sport players. J Strength Cond Res. 2008;22:365–74. https://doi.org/10.1519/JSC.0b013e3181635b2e.
Grgic J, Lazinica B, Pedisic Z. Test-retest reliability of the 30–15 intermittent fitness test: a systematic review. J Sport Heal Sci. 2020;10:1–20. https://doi.org/10.1016/j.jshs.2020.04.010.
Batterham AM, Hopkins WG. Making meaningful inferences about magnitudes. Int J Sports Physiol Perform. 2006;1:50–7. https://doi.org/10.1123/ijspp.1.1.50.
Nughes E, Rago V, Aquino R, Ermidis G, Randers MB, Ardigò LP. Anthropometric and functional profile of selected vs. non-selected 13-to-17-year-old soccer players. Sports. 2020;8:111. https://doi.org/10.3390/sports8080111.
Aquino R, Alves IS, Padilha MB, Casanova F, Puggina EF, Maia J. Multivariate profiles of selected versus non-selected elite youth Brazilian soccer players. J Hum Kinet. 2017;60:113–21. https://doi.org/10.1515/hukin-2017-0094.
Stevens T, Ruiter C, Twisk L, Savelsbergh G, Beek P. Quantification of in-season training load relative to match load in professional dutch Eredivisie football players. Sci Med Footb. 2017;1:117–25.
Bradley PS, Sheldon W, Wooster B, Olsen P, Boanas P, Krustrup P. High-intensity running in English FA premier league soccer matches. J Sports Sci. 2009;27:159–68. https://doi.org/10.1080/02640410802512775.
Los Arcos A, Mendez-Villanueva A, Martínez-Santos R. In-season training periodization of professional soccer players. Biol Sport. 2017;2:149–55. doi:https://doi.org/10.5114/biolsport.2017.64588.
Campos-Vazquez MA, Toscano-Bendala FJ, Mora-Ferrera JC, Suarez-Arrones LJ. Relationship between internal load indicators and changes on intermittent performance after the preseason in professional soccer players. J Strength Cond Res. 2017;31:1477–85.
Ortiz JG, Teixeira AS, Mohr PA, Cesar P, Nascimento DO, Cetolin T, et al. The anaerobic speed reserve of high-level soccer players: a comparison based on the running. Hum Mov. 2019;19:65–72.
Castagna C, Impellizzeri FM, Chaouachi A, Manzi V. Preseason variations in aerobic fitness and performance in elite-standard soccer players: a team study. J Strength Cond Res. 2013;27:2959–65.
Vollaard NB, Constantin-Teodosiu D, Fredriksson K, Rooyackers O, Jansson E, Greenhaff PL, Timmons JA, Sundberg CJ. Systematic analysis of adaptations in aerobic capacity and submaximal energy metabolism provides a unique insight into determinants of human aerobic performance. J Appl Physiol. 2009;106:1479–86.
Scharhag-Rosenberger F, Walitzek S, Kindermann W, Meyer T. Differences in adaptations to 1 year of aerobic endurance training: individual patterns of nonresponse. Scand J Med Sci Sports. 2012;22:113–8. doi:https://doi.org/10.1111/j.1600-0838.2010.01139.x.
Prud’homme D, Bouchard C, Leblanc C, Landry F, Fontaine E. Sensitivity of maximal aerobic power to training is genotype-dependent. Med Sci Sports Exerc. 1984;16:489–93.