El impacto de la música en la cinemática angular durante la carrera en corredores recreativos: un análisis funcional
DOI:
https://doi.org/10.11606/issn.1981-4690.2026e40241914Palabras clave:
Análisis tridimensional, Biomecánica, Ejercicio aeróbico, Rendimiento físico, CanciónResumen
Este estudio investigó la influencia de la música en la cinemática angular tridimensional de la cadera, la rodilla y el tobillo durante la carrera en cinta en corredores recreativos, utilizando Análisis de Datos Funcionales. Dieciséis corredores recreativos (ocho hombres y ocho mujeres) completaron dos sesiones de carrera en cinta de 30 minutos a una velocidad de 10 km/h, con y sin música, en un orden aleatorio. Se analizaron diez ciclos consecutivos por participante en cada condición, a partir de datos cinemáticos tridimensionales (240 Hz) procesados mediante funciones B-spline. Se aplicaron pruebas t funcionales (α = 0,05) para comparar las curvas entre condiciones. No se encontraron diferencias significativas entre condiciones para las articulaciones de la cadera y la rodilla, ni para el tobillo en los planos sagital y transversal. Sin embargo, en el plano frontal, la condición con música mostró una mayor eversión del tobillo en porciones específicas del ciclo de la marcha, particularmente durante la fase de apoyo. Estos resultados indican que la música ejerce una influencia localizada en la biomecánica de la carrera, aumentando la eversión del tobillo en el plano frontal sin alterar la cinemática global de los miembros inferiores. Por lo tanto, la música puede utilizarse como un recurso motivacional por parte de los corredores recreativos sin comprometer la técnica de carrera a una intensidad moderada, aunque se recomienda precaución en individuos con antecedentes de inestabilidad del tobillo.
Descargas
Referencias
1. Terry PC, Karageorghis CI, Curran ML, Martin OV, Parsons-Smith RL. Effects of music in exercise and sport: a meta-analytic review. Psychol Bull. 2020;146(2):91-117. DOI: https://doi.org/10.1037/bul0000216.
2. Suwabe K, Kawase S. High-groove music boosts self-selected running speed and positive mood in female university students. Front Sports Act Living. 2025;7:1586484. DOI: https://doi.org/10.3389/fspor.2025.1586484.
3. Ballmann CG, Cook GD, Hester ZT, Kopec TJ, Williams TD, Rogers RR. Effects of preferred and non-preferred warm-up music on resistance exercise performance. J Funct Morphol Kinesiol. 2020;6(1):3. DOI: https://doi.org/10.3390/jfmk6010003.
4. Jebabli N, Granacher U, Selmi MA, et al. Listening to preferred music improved running performance without changing the pacing pattern during a 6 minute run test with young male adults. Sports. 2020;8(5):61. DOI: https://doi.org/10.3390/sports8050061.
5. Karow MC, Rogers RR, Pederson JA, Williams TD, Marshall MR, Ballmann CG. Effects of preferred and nonpreferred warm-up music on exercise performance. Percept Mot Skills. 2020;127(5):912-24. DOI: https://doi.org/10.1177/0031512520928244.
6. Kawabata M, Chua KL. A multiple mediation analysis of the association between asynchronous use of music and running performance. J Sports Sci. 2021;39(2):131-7. DOI: https://doi.org/10.1080/02640414.2020.1809153.
7. Wu J, Zhang L, Yang H, Lu C, Jiang L, Chen Y. The effect of music tempo on fatigue perception at different exercise intensities. Int J Environ Res Public Health. 2022;19(7):3869. DOI: https://doi.org/10.3390/ijerph19073869.
8. Martinez G, Ventura L, Rossanigo R, et al. Music listening alters kinetics and kinematics of running: a cross-over study comparing gender, running speeds, and surfaces. J Strength Cond Res. 2025;39(6):649-59. DOI: https://doi.org/10.1519/JSC.0000000000005094.
9. Willwacher S, Sanno M, Brüggemann GP. Fatigue matters: an intense 10 km run alters frontal and transverse plane joint kinematics in competitive and recreational adult runners. Gait Posture. 2020;76:277-83. DOI: https://doi.org/10.1016/j.gaitpost.2019.11.016.
10. Quan W, Ren F, Xu D, Gusztav F, Baker JS, Gu Y. Effects of fatigue running on joint mechanics in female runners: a prediction study based on a partial least squares algorithm. Front Bioeng Biotechnol. 2021;9:746761. DOI: https://doi.org/10.3389/fbioe.2021.746761.
11. Hazzaa WA, Hottenrott L, Kamal MA, Mattes K. The influence of general and local muscle fatigue on kinematics and plantar pressure distribution during running: a systematic review and meta-analysis. Sports. 2023;11(12):241. DOI: https://doi.org/10.3390/sports11120241.
12. DeJong P, Hatamiya NS, Barkley LC. Running gait analysis and biomechanics. Curr Sports Med Rep. 2022;21(4):107-8. DOI: https://doi.org/10.1249/JSR.0000000000000944.
13. Martinez C, Garbett S, Hiromasa K, et al. Comparison of 2-D and 3-D analysis of running kinematics and actual versus predicted running kinetics. Int J Sports Phys Ther. 2022;17(4):566-73. DOI: https://doi.org/10.26603/001c.34432.
14. Dannenmaier J, Kaltenbach C, Kölle T, Krischak G. Application of functional data analysis to explore movements: walking, running and jumping – a systematic review. Gait Posture. 2020;77:182-9. DOI: https://doi.org/10.1016/j.gaitpost.2020.02.002.
15. Warmenhoven J. Over 30 years of using functional data analysis in human movement. What do we know, and is there more for sports biomechanics to learn? Sports Biomech. 2024;1-32. DOI: https://doi.org/10.1080/14763141.2024.2398508.
16. Soares JS, Carpes FP, Geraldo GF, et al. Functional data analysis reveals asymmetrical crank torque during cycling performed at different exercise intensities. J Biomech. 2021;122:110478. DOI: https://doi.org/10.1016/j.jbiomech.2021.110478.
17. Jones AM, Doust JH. A 1% treadmill grade most accurately reflects the energetic cost of outdoor running. J Sports Sci. 1996;14(4):321-7. DOI: https://doi.org/10.1080/02640419608727717.
18. Fukuchi RK. Análise cinemática da fase de apoio da corrida em adultos e idosos corredores [dissertation]. São Paulo (SP): Universidade de São Paulo, Escola de Educação Física e Esporte; 2007.
19. Fukuchi RK, Duarte M. Comparative kinematic analysis during the stance phase of running in adults and elderly. Fisioter Pesqui. 2008;15(1):40-6. DOI: https://doi.org/10.1590/S1809-29502008000100007.
20. Braga UM, Mendonça LD, Mascarenhas RO, Alves COA, Trede Filho RG, Resende RA. Effects of medially wedged insoles on the biomechanics of the lower limbs of runners with excessive foot pronation and foot varus alignment. Gait Posture. 2019;74:242-9. DOI: https://doi.org/10.1016/j.gaitpost.2019.09.023.
21. Jafarnezhadgero A, Alavi-Mehr SM, Granacher U. Effects of anti-pronation shoes on lower limb kinematics and kinetics in female runners with pronated feet: the role of physical fatigue. PLoS One. 2019;14(5):e0216818. DOI: https://doi.org/10.1371/journal.pone.0216818.
Descargas
Publicado
Número
Sección
Licencia
Derechos de autor 2026 Revista Brasileira de Educação Física e Esporte
Esta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial 4.0.
Todo o conteúdo da revista, exceto onde está identificado, está licenciado sob uma Licença Creative Commons (CC-BY)
