American Football Position Does Not Influence Symmetry in Joint Power During High-Speed Running Original Research
Main Article Content
Keywords
biomechanics, gait, inverse dynamics
Abstract
Introduction: The distinct physical and tactical roles of American football positions may influence interlimb symmetry of ankle, knee, and hip power distribution during high-speed running. This study examined differences in joint power distribution symmetry between position groups and joints using inverse dynamics.
Methods: Sixty-eight draft-eligible American football players (Big n=18; Big-skill n=24; Skill n=26) completed a single high-speed running trial (6.4 m/s) on an instrumented treadmill synchronized with a motion capture system. Joint powers were computed via inverse dynamics and expressed as positive (generation) and negative (absorption) percent contributions to total limb power. Interlimb differences were quantified using the Asymmetry Index (AI = |left−right|/[(left+right)/2] ×100%). Group differences were analyzed using Kruskal-Wallis tests with Bonferroni-adjusted post hoc comparisons (α = .017).
Results: No significant differences in AI were found among position groups for positive ankle (p = .868), knee (p = .082), or hip power (p = .846), nor for negative ankle (p = .222), knee (p = .181), or hip power (p = .496). AI differed significantly among joints for both positive (F(2,134)=33.4, p<.001, η²=0.332) and negative power (F(2,134)=15.7, p<.001, η²=0.19). Knee AI was highest for positive power (31.9 ± 24.5%), followed by hip (18.1 ± 28.9%) and ankle (9.6 ± 6.9%). Negative AI was lowest at the ankle (11.9 ± 14.1%) compared to knee (22.4 ± 16.6%) and hip (22.8 ± 19.5%).
Conclusions: Player position does not influence the symmetry of joint power contributions during high-speed running. The ankle demonstrates the greatest symmetry, whereas the knee shows the largest asymmetry.
References
2. Wellman AD, Coad SC, Goulet GC, McLellan CP. Quantification of competitive game demands of NCAA division I college football players using global positioning systems. J Strength Cond Res. 2016;30(1):11–9.
3. Sanchez E, Weiss L, Williams T, Ward P, Peterson B, Wellman A, Crandall J. Positional movement demands during NFL football games: A 3-year review. Applied Sciences. 2023; 13(16):9278. https://doi.org/10.3390/app13169278
4. Edwards T, Spiteri T, Piggott B, Haff GG, Joyce C. A narrative review of the physical demands and injury incidence in American football: application of current knowledge and practices in workload management. Sports Med. 2018;48:45-55.
5. Pires NJ, Lay BS, Rubenson J. Joint-level mechanics of the walk-to-run transition in humans. J Exp Biol. 2014;217(19):3519-3527.
6. Riddick RC, Kuo AD. Mechanical work accounts for most of the energetic cost in human running. Sci Rep. 2022;12(1):645.
7. Mokha GM, Bonsangue M, Brezina T, Haberer J. Training alters joint power distributions during running in National Football League draft preparation players. Sports Biomech. 2025;24(9),2662–2679. https://doi.org/10.1080/14763141.2025.2498338
8. Belli A, Kyröläinen H, Komi PV. Moment and power of lower limb joints in running. Int J Sports Med. 2002;23(2), 136–141. https://doi.org/10.1055/s-2002-20136
9. Sanno M, Willwacher S, Epro G, Brüggemann G-P. Positive work contribution shifts from distal to proximal joints during a prolonged run. Med Sci Sports Exerc. 2018;50(12):2507-2517. doi:10.1249/MSS.0000000000001707
10. Schache AG, Brown NAT, Pandy MG. Modulation of work and power by the human lower-limb joints with increasing steady-state locomotion speed. J Exp Biol. 2015;218(15):2472-2481. doi:10.1242/jeb.119156
11. Hashizume S, Hobara H, Kobayashi Y. Between-limb differences in running technique induce asymmetric negative joint work during running. Eur J Sport Sci. 2019;19:757-764. doi:10.1080/17461391.2018.1539123
12. Vial S, Cochrane Wilkie J, Turner M, Blazevich AJ. Fatigue does not increase limb asymmetry or induce proximal joint power shift in habitual, multi-speed runners. J Sports Sci. 2023;41(12):1250-1260. doi:10.1080/02640414.2023.2268374
13. Polletta J, Leung K, Diaz D, Branum N, Mokha M. Influence of interlimb lean muscle mass asymmetry on countermovement jump neuromuscular performance qualities among American football players. J Strength Cond Res. 2025;39(3):325-331. doi:10.1519/JSC.0000000000005002
14. Hoffman JR, Ratamess NA, Klatt M, Faigenbaum AD, Kang J. Do bilateral power deficits influence direction-specific movement patterns? Res Sports Med. 2007;15(2):125-132. doi:10.1080/15438620701405313
15. Phillip NM, Garver MJ, Crawford DA, Davis DW, Hair JN. Interlimb asymmetry in collegiate American football players: Effects on combine-related performance. J Human Sport Exerc. 2022;17(3): 708-718. https://doi.org/10.14198/jhse.2022.173.20
16. Mokha M, Berrocales M, Rohman A, et al. Morphology and performance biomechanics profiles of draft prep American style football players. Biomechanics. 2024;4(4):685-697.
17. Dewald M, Dalland J, Stockland J. The association of joint power kinetic variables with running injuries: a case-control study. Int J Sports Phys Ther. 2023;18(4):864-873. doi:10.26603/001c.83216
18. Bishop C, Read P, Chavda S, Turner AN. Asymmetries of the lower limb: the calculation conundrum in strength and conditioning. Strength Cond J. 2016;38(6):27-32. doi:10.1519/SSC.0000000000000264
19. Vannatta CN, Blackman T, Kernozek TW. Kinematic and muscle force asymmetry in healthy runners: how do different methods measure up? Gait Posture. 2023;103:159-165. doi:10.1016/j.gaitpost.2023.05.010
20. Cohen, J. Statistical power analysis for the behavioral sciences. 2nd ed. Routledge; 1988. doi:10.4324/9780203771587
21. Bates NA, Ford KR, Myer GD, Hewett TE. Kinetic and kinematic differences between first and second landings of a drop vertical jump task: implications for injury risk assessments. Clin Biomech (Bristol, Avon). 2013;28(4):459-466.
22. Bishop C, Turner A, Read P. Effects of inter-limb asymmetries on physical and sports performance: a systematic review. J Sports Sci. 2017;36(10):1-10.
23. Novacheck TF. The biomechanics of running. Gait Posture. 1998;7(1):77-95. doi:10.1016/s0966-6362(97)00038-6
24. Clark KP. Determinants of top speed sprinting: minimum requirements for maximum velocity. Applied Sciences. 2022; 12(16):8289. https://doi.org/10.3390/app12168289
