Salto com contramovimento como preditor do desempenho nos 100 m rasos em velocistas paralímpicos: influência da fase competitiva
DOI:
https://doi.org/10.11606/issn.1981-4690.2026e40243723Palabras clave:
Salto vertical, Atletas paralímpicos, MonitoramentoResumen
Este estudo investigou a relação entre a altura do salto com contramovimento (CMJ) e o desempenho nos 100-m rasos (T100) em velocistas paralímpicos de elite ao longo de diferentes competições. Vinte e oito atletas foram avaliados em quatro competições realizadas entre 2023 e 2024. A altura do CMJ e o T100 foram mensurados, e análises não paramétricas foram utilizadas devido à violação dos pressupostos de normalidade. As associações entre o CMJ e o T100 foram avaliadas por meio de correlações de Spearman (ρ). De forma geral, a altura do CMJ apresentou correlação negativa moderada com o T100 (ρ = −0,45; p<0,001). Correlações significativas foram observadas apenas nos Jogos de Paris’24 (ρ = −0,58; p = 0,003) e em atletas do sexo masculino (ρ = −0,41; p = 0,019). As análises por classe funcional demonstraram correlações negativas significativas apenas nas classes T12 (ρ = −0,61; p = 0,043) e T13 (ρ = −0,86; p = 0,014). A altura do CMJ está associada ao desempenho de sprint em velocistas paralímpicos de elite; no entanto, a magnitude dessa relação pode depender da fase competitiva, do sexo e da classificação funcional. Treinadores e cientistas do esporte devem interpretar os dados de CMJ com cautela, considerando a natureza multifatorial do desempenho no sprint.
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1. Morin J-B, Bourdin M, Edouard P, Peyrot N, Samozino P, Lacour J-R. Mechanical determinants of 100-m sprint running performance. Eur J Appl Physiol. 2012;112:3921-30. DOI: https://doi.org/10.1007/s00421-012-2379-8.
2. Majumdar AS, Robergs RA. The Science of Speed: Determinants of Performance in the 100 m Sprint. Int J Sports Sci Coach. 2011;6(3):479-93. DOI: https://doi.org/10.1260/1747-9541.6.3.479.
3. Čoh M, Hébert-Losier K, Štuhec S, Babić V, Supej M. Kinematics of Usain Bolt’s maximal sprint velocity. Kinesiology. 2018;50(2):172-80. DOI: https://doi.org/10.26582/k.50.2.10.
4. O’Brien TD, Reeves ND, Baltzopoulos V, Jones DA, Maganaris CN. Strong relationships exist between muscle volume, joint power and whole‐body external mechanical power in adults and children. Exp Physiol 2009;94:731-8. https://doi.org/10.1113/expphysiol.2008.045062.
5. Kivi DMR, Maraj BKV, Gervais P. A kinematic analysis of high-speed treadmill sprinting over a range of velocities. Med Sci Sports Exerc. 2002;34(4):662-6. DOI: https://doi.org/10.1097/00005768-200204000-00016.
6. Coh M, Milanovic D, Kampmiller T. Morphologic and kinematic characteristics of elite sprinters. Coll Antropol. 2001;25(2):605-10.
7. Mattes K, Wolff S, Alizadeh S. Kinematic stride characteristics of maximal sprint running of elite sprinters - verification of the “Swing-Pull Technique”. J Hum Kinet. 2021;77:15-24. DOI: https://doi.org/10.2478/hukin-2021-0008.
8. Bezodis IN, Cowburn J, Brazil A, et al. A biomechanical comparison of initial sprint acceleration performance and technique in an elite athlete with cerebral palsy and able-bodied sprinters. Sports Biomech. 2020;19(2):189-200. DOI: https://doi.org/10.1080/14763141.2018.1459819.
9. Okkonen O, Häkkinen K. Biomechanical comparison between sprint start, sled pulling, and selected squat-type exercises. J Strength Cond Res. 2013;27(10):2662-73. DOI: https://doi.org/10.1519/JSC.0b013e31829992b0.
10. Taylor MJD, Beneke R. Spring mass characteristics of the fastest men on Earth. Int J Sports Med. 2012;33(8):667-70. DOI: https://doi.org/10.1055/s-0032-1306283.
11. Hobara H, Hashizume S, Kobayashi Y, et al. Spatiotemporal parameters in sprinters with unilateral and bilateral transfemoral amputations and functional impairments. Eur J Appl Physiol. 2019;119:85-90. DOI: https://doi.org/10.1007/s00421-018-4001-1.
12. Chen J, Qian Y, Xu Y. Predicting sprint potential: a machine learning model based on blood metabolite profiles in young male athletes. Eur J Sport Sci. 2025;25(3). DOI: https://doi.org/10.1002/ejsc.12272.
13. Alexander MJ. The relationship between muscle strength and sprint kinematics in elite sprinters. Can J Sport Sci. 1989;14(3):148-57.
14. Novacheck TF. The biomechanics of running. Gait Posture 1998;7(1):77-95. DOI: https://doi.org/10.1016/S0966-6362(97)00038-6.
15. Loturco I, Pereira LA, Cal Abad CC, et al. Vertical and horizontal jump tests are strongly associated with competitive performance in 100-m dash events. J Strength Cond Res. 2015;29(7):1966-71. DOI: https://doi.org/10.1519/JSC.0000000000000849.
16. Claudino JG, Cronin J, Mezêncio B, et al. The countermovement jump to monitor neuromuscular status: A meta-analysis. J Sci Med Sport 2017;20(4):397-402. DOI: https://doi.org/10.1016/j.jsams.2016.08.011.
17. Kale M, Aşçi A, Bayrak C, Açikada C. Relationships among jumping performances and sprint parameters during maximum speed phase in sprinters. J Strength Cond Res. 2009;23(8):2272-9. DOI: https://doi.org/10.1519/JSC.0b013e3181b3e182.
18. Smirniotou A, Katsikas C, Paradisis G, Argeitaki P, Zacharogiannis E, Tziortzis S. Strength-power parameters as predictors of sprinting performance. J Sports Med Phys Fitness. 2008;48(4):447-54.
19. Loturco I, Kobal R, Kitamura K, et al. Predictive factors of elite sprint performance: influences of muscle mechanical properties and functional parameters. J Strength Cond Res. 2019;33(4):974-86. DOI: https://doi.org/10.1519/JSC.0000000000002196.
20. Vaverka F, Jandačka D, Zahradník D, et al. Effect of an arm swing on countermovement vertical jump performance in elite Volleyball players. J Hum Kinet. 2016;53:41-50. DOI: https://doi.org/10.1515/hukin-2016-0009.
21. Siembida P, Zawadka M, Gawda P. The relationship between vertical jump performance during different training periods and results of 200m-sprint. Balt J Health Phys Act. 2021;13(3):1-9. DOI: https://doi.org/10.29359/BJHPA.13.3.01.
22. Loturco I, Winckler C, Kobal R, et al. Performance changes and relationship between vertical jump measures and actual sprint performance in elite sprinters with visual impairment throughout a Parapan American games training season. Front Physiol. 2015;6. DOI: https://doi.org/10.3389/fphys.2015.00323.
23. International Paralympic Committee. International Paralympic Committee. 2025:1-1. Available: hhttps://www.paralympic.org/paralympic-games-results.
24. Janse van Rensburg DC, Jansen van Rensburg A, Fowler PM, et al. Managing travel fatigue and jet lag in athletes: a review and consensus statement. Sports Med. 2021;51:2029-50. DOI: https://doi.org/10.1007/s40279-021-01502-0.
25. Mujika I, Padilla S. Scientific bases for pecompetition tapering strategies. Med Sci Sports Exerc. 2003;35(7):1182–7. DOI: https://doi.org/10.1249/01.MSS.0000074448.73931.11.
26. Bosco C. The Valuation of the force with the test of Bosco. Barcelona: Editorial Paidotribo; 1994.
27. Americas Paralympic Committee. Americas Paralympic Committee. 2023:1-1. Available: hhttps://www.paralympic.org/paralympic-games-results.
28. Ghasemi A, Zahediasl S. Normality tests for statistical analysis: a guide for non-statisticians. Int J Endocrinol Metab. 2012;10(2):486-9. DOI: https://doi.org/10.5812/ijem.3505.
29. Mandelbrot B. Contributions to probability and statistics: essays in honor of Harold Hotelling (Ingram Olkin, Sudhist G. Ghurye, Wassily Hoeffding, William G. Madow, and Henry B. Mann, eds.). SIAM Review. 1961;3(1):80. DOI: https://doi.org/10.1137/1003016.
30. Altman DG, Bland JM. Statistics notes: the normal distribution. BMJ 1995;310:298. DOI: https://doi.org/10.1136/bmj.310.6975.298.
31. Razali NM, Wah YB. Power comparissons of Shapiro-Wilk, Kolmogorov-Smirnov, Lilliefors and Anderson-Darling tests. JOSMA. 2011;2(1):21-33.
32. Cohen J. Statistical power analysis for the behavioral sciences. Hillsdale: Lawrence Erlbaum Associates; 1988.
33. Spearman C. The proof and measurement of association between two things. Am J Psychol. 1904;15(1):72-101. DOI: https://doi.org/10.2307/1412159.
34. Schoeman M, Diss CE, Strike SC. Kinetic and kinematic compensations in amputee vertical jumping. J Appl Biomech. 2012;28(4):438-47. DOI: https://doi.org/10.1123/jab.28.4.438.
35. Pradon D, Mazure-Bonnefoy A, Rabita G, Hutin E, Zory R, Slawinski J. The biomechanical effect of arm mass on long jump performance: a case study of a paralympic upper limb amputee. Prosthet Orthot Int. 2014;38(3):248-52. DOI: https://doi.org/10.1177/0309364613497392.
36. Hopkins WG. How to interpret changes in an athletic performance test. Sports Sci. 2004;8:1-7.
37. Turner AN, Bishop C, Cree J, et al. Building a high-performance model for Sport: a human development-centered approach. Strength Cond J. 2019;41(2):100-7. DOI: https://doi.org/10.1519/SSC.0000000000000447.
38. Bartonietz K, Larsen B. General and event-specific considerations in peaking for the main competition. New Studies in Athletics. 1997;12(2-3):75-86.
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