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Research article
First published online April 1, 2026

Analysis on the mechanism of speed skaters’ skating sagittal trunk flexion angle control and wind resistance coefficient change on skating efficiency

Abstract

Optimising trunk posture is critical for improving efficiency in speed skating, as it influences both aerodynamic drag and neuromuscular demands. This study aimed to quantify how incremental changes in sagittal trunk flexion angle affect aerodynamic resistance, muscular load, and overall skating efficiency under race-relevant conditions. Twenty-eight elite male speed skaters performed trials across straight and curved tracks at sagittal trunk flexion angles ranging from 30°to 50°. Trunk kinematics were captured using inertial measurement units, muscular activity was recorded with surface electromyography, and drag coefficients were estimated through computational fluid dynamics simulations. These datasets were integrated within the Real-Time Integrated Trunk–Cd–Efficiency (RITCE) model to evaluate the combined biomechanical and aerodynamic effects. Results showed that efficiency decreased significantly from 82.1% at 30° to 75.3% at 50° (p< 0.001), while drag coefficient increased from 0.241 to 0.276 (p < 0.001) and EMG load rose from 100.2 to 130.9 µV (p < 0.001). Fatigue indices and co-contraction ratios also increased with deeper trunk flexion. Efficiency was consistently lower on curved tracks, with significant sagittal trunk flexion angle–track interactions observed. These findings demonstrate that excessive trunk flexion imposes aerodynamic, neuromuscular, and mechanical penalties, supporting the need for trunk-targeted biomechanical interventions to enhance skating efficiency in elite athlete.

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Data availability statement

All datasets generated and analysed during this study are available from the corresponding author upon reasonable request.

References

1. Bendus V, Kennedy C, Marshall W, et al. Linear skating speed key performance indicators in ice hockey: global or cohort-dependent? Int J Perform Anal Sport 2025; 25: 430–445. https://doi.org/10.1080/24748668.2024.2416740
2. Helesic J, Lehnert M. Explosive strength and speed as potential determinants of success in youth figure skating competitions. Appl Sci 2024; 14: 11861. https://doi.org/10.3390/app142411861
3. Konings MJ, Elferink-Gemser MT, Stoter IK, et al. Performance characteristics of long-track speed skaters: a literature review. Sports Med 2015; 45: 505–516. https://doi.org/10.1007/s40279-014-0298-z
4. Brownlie L. Aerodynamic drag reduction in winter sports: the quest for “free speed”. Proc IMechE, Part P: J Sports Engineering and Technology 2020; 235: 175433712092109. https://doi.org/10.1177/1754337120921091
5. Wei Y, Wang Y, Nie Y, et al. Aerodynamic drag study of speed skaters using CFD simulations. Proc IMechE, Part P: J Sports Engineering and Technology 2025; 239(4): 665–677. https://doi.org/10.1177/17543371231188558
6. Valevicius A, Croteau F, Romeas T, et al. Assessing kinematic variables in short-track speed skating helmets: a comparative study between traditional rigid foam and anti-rotation designs. Biomechanics 2024; 4: 483–493. https://doi.org/10.3390/biomechanics4030034
7. Magán G, Terra W, Sciacchitano A. aerodynamics analysis of speed skating helmets: investigation by CFD simulations. Appl Sci 2021; 11: 3148. https://doi.org/10.3390/app11073148
8. Varesco G, Yao CW, Dubé E, et al. The impact of long-haul travel and 13 h time change on sleep and rest activity circadian rhythm in speed skaters during World Cup competitions. Exp Physiol 2025; 110: 1732–1743. https://doi.org/10.1113/EP092195
9. Yamanobe K, Suzuki K, Takenaka S, et al. The influence of the posture and the interval of the following skaters on the reduction of the aerodynamic drag of a leading skater in speed skating team pursuit events. J High Perform Sport 2024; 11: 117–133. https://doi.org/10.32155/jissjhps.11.0_117
10. Noordhof DA, Foster C, Hoozemans MJ, et al. Changes in speed skating velocity in relation to push-off effectiveness. Int J Sports Physiol Perform 2013; 8: 188–194. https://doi.org/10.1123/ijspp.8.2.188
11. Mesquita RM, Willems PA, Catavitello G, et al. Biomechanics of human locomotion in the wind. J Appl Physiol 2024; 137: 616–628. https://doi.org/10.1152/japplphysiol.00253.2024
12. Kim M, Park S. Implementation of sports science and technology integration infrastructure: a case study of speed skating utilizing web and mobile applications, and information visualization technologies. J Web Eng 2024; 23: 849–868. https://doi.org/10.13052/jwe1540-9589.2367
13. Konieczny M, Pakosz P, Domaszewski P, et al. The relationship between asymmetry changes in the slope frequency of bioelectrical activity of the gluteus maximus muscles and experience in short track speed skating athletics. Isokinet Exerc Sci 2025; 33: 40–45. https://doi.org/10.3233/IES-240004
14. Kimura Y, Yokozawa T. Skating techniques of ladies’ world-class long-distance speed skaters to shorten curved-section time during the official 3,000 m race. Front Sports Active Living 2024; 6: 1396219.
15. Clément J, Croteau F, Gagnon M, et al. Automatic detection of skate strokes in short-track speed skating using one single IMU: validation of a new method. Sports Biomech 2024; 23: 1–12. https://doi.org/10.1080/14763141.2024.2331174
16. Khandan A, Fathian R, Carey JP, et al. Variation of kinematic metrics with perceived fatigue in ice skating measured using wearable sensors. J Strength Cond Res 2025; 39(10): e1178–e1187. https://doi.org/10.1519/jsc.0000000000005181
17. Liu Z, Ding M, Zhang M, et al. Effects of technique asymmetry on 500 m speed skating performance. Bioengineering 2024; 11: 899. https://doi.org/10.3390/bioengineering11090899
18. Terra W, Spoelstra A, Sciacchitano A. Aerodynamic benefits of drafting in speed skating: estimates from in-field skater’s wakes and wind tunnel measurements. J Wind Eng Ind Aerodyn 2023; 233: 105329. https://doi.org/10.1016/j.jweia.2023.105329
19. Elfmark O, Bardal LM, Oggiano L, et al. Aerodynamic interaction between two speed skaters measured in a closed wind tunnel. World Acad Sci Eng Technol Int J Sport Health Sci 2019; 13: Article ID 2702773. https://doi.org/10.5281/zenodo.2702773
20. Iizuka T, Tomita Y. Reliability of motion phase identification for long-track speed skating using inertial measurement units. PeerJ 2024; 12: e18102. https://doi.org/10.7717/peerj.18102
21. Zhu Q, Yang C, Ke P, et al. A ground reaction force model of speed skating based on non-contact measurement system. iScience 2024; 27: 108513. https://doi.org/10.1016/j.isci.2023.108513
22. Bongiorno G, Minisini FG, Biancuzzi H, et al. Skating efficiency and technique during roller speed skate using innovative piezoelectric smart socks: an exploratory study. Front Sports Act Living 2025; 7: 1554264.
23. Lamoureux NR, Tomkinson GR, Peterson BJ, et al. Relationship between skating economy and performance during a repeated-shift test in elite and subelite ice hockey players. J Strength Cond Res 2018; 32: 1109–1113. https://doi.org/10.1519/jsc.0000000000002418
24. Secomb JL, Davidson DW, Compton HR. Relationships between sprint skating performance and insole plantar forces in national-level hockey athletes. Gait Posture 2024; 113: 436–442. https://doi.org/10.1016/j.gaitpost.2024.07.297
25. Perez J, Guilhem G, Brocherie F. Ice hockey forward skating force-velocity profiling using single unloaded vs. multiple loaded methods. J Strength Cond Res 2022; 36: 3229–3233. https://doi.org/10.1519/jsc.0000000000004078
26. Wang Y, Weng D, Wei Y, et al. Aerodynamic drag reduction on speed skating helmet by surface structures. Appl Sci 2023; 13: 130. https://doi.org/10.3390/app13010130
27. Konieczny M, Skorupska E, Domaszewski P, et al. BMC sports science, medicine and rehabilitation relationship between latent trigger points, lower limb asymmetry and muscle fatigue in elite short-track athletes. BMC Sports Sci Med Rehabil 2023; 15: 109. https://doi.org/10.1186/s13102-023-00719-y
28. Leone A, Carluccio AM, Caroppo A, et al. A systematic review of surface electromyography in sarcopenia: muscles involved, signal processing techniques, significant features, and artificial intelligence approaches. Sensors 2025; 25: 2122. https://doi.org/10.3390/s25072122
29. Spoelstra A, Terra W, Sciacchitano A. On-site aerodynamics investigation of speed skating. J Wind Eng Ind Aerodyn 2023; 239: 105457. https://doi.org/10.1016/j.jweia.2023.105457
30. Bongiorno G, Sisti G, Biancuzzi H, et al. Training in roller speed skating: proposal of surface electromyography and kinematics data for educational purposes in junior and senior athletes. Sensors 2024; 24: 7617. https://doi.org/10.3390/s24237617

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