Effect of muscle coactivation on running economy in trained distance runners
DOI:
https://doi.org/10.47197/retos.v74.117355Keywords:
biomechanics, coactivation muscle, Electromyography, running economy, runningAbstract
Introduction: Muscle coactivation is a key factor in running economy.
Objectives: The aim of this study was to analyze the relationship between muscle coactivation and running economy in trained distance runners.
Methods: Twelve trained runners (age: 32.1 ± 4.7 years) completed two treadmill running tests at speeds of 12 km/h and 20 km/h, each lasting 5 minutes. Gas exchange data and electromyographic activity of lower limb muscles were recorded during the tests. Coactivation indices were calculated for the following muscle pairs: rectus femoris/biceps femoris, rectus femoris/gastrocnemius, rectus femoris/gluteus medius, tibialis anterior/gastrocnemius, and tibialis anterior/peroneus longus. These were evaluated during the last 100 ms of the swing phase and the first 50 ms of the initial stance phase. Associations between variables were analyzed using Spearman’s correlation. Significant correlations were considered at p < 0.05.
Results: A significant inverse correlation was observed during the stance phase between rectus femoris/medial gastrocnemius coactivation and energy cost (r = –0.599, p = 0.043). Likewise, a significant inverse correlation was found between peak activation of the biceps femoris and energy demand (r = –0.629, p = 0.031). Both correlations were observed at 20 km/h.
Conclusion: Coactivation and peak activation of biarticular muscles (rectus femoris, gastrocnemius, and biceps femoris) were associated with energy cost. These findings may represent a neuromechanical strategy that enhances energy transfer between lower limb joints, thereby improving running economy in trained distance runners.
References
Barnes, K. R., & Kilding, A. E. (2015a). Running economy: Measurement, norms, and determining fac-tors. Sports Medicine - Open, 1(1), 8. https://doi.org/10.1186/s40798-015-0007-y
Barnes, K. R., & Kilding, A. E. (2015b). Strategies to improve running economy. Sports Medicine, 45(1), 37–56. https://doi.org/10.1007/s40279-014-0246-y
Cook, M. D., Myers, S. D., Kelly, J. S. M., & Willems, M. E. T. (2015). Effect of level and downhill running on breathing efficiency. Sports, 3(1), 12–20. https://doi.org/10.3390/sports3010012
Dalleau, G., Belli, A., Bourdin, M., & Lacour, J. R. (1998). The spring-mass model and the energy cost of treadmill running. European Journal of Applied Physiology and Occupational Physiology, 77 (3), 257–263. https://doi.org/10.1007/s004210050330
Fletcher, J. R., Esau, S. P., & Macintosh, B. R. (2009). Economy of running: Beyond the measurement of oxygen uptake. Journal of Applied Physiology, 107(6), 1918–1922. https://doi.org/10.1152/japplphysiol.00307.2009
Forelli, F., Moiroux-Sahraoui, A., Mazeas, J., Pengue Koyi, A., Labib, M., & Cerrito, A. (2025). Gastrocnem-ius activation deficits and running biomechanics after anterior cruciate ligament reconstruc-tion: The missing link?. Frontiers in Sports and Active Living, 7, 1594247. https://doi.org/10.3389/fspor.2025.1594247
Handiru, V. S., Pilkar, R., Suviseshamuthu, E. S., & Yue, G. (2022). Effects of computerized biofeedback-based balance intervention on the muscle coactivation patterns during dynamic postural con-trol in traumatic brain injury. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2022, 5144–5147. https://doi.org/10.1109/EMBC48229.2022.9871316
Hansen, C. E., Stensvig, M., Wienecke, J., Villa, C., Lorentzen, J., Rasmussen, J., & Simonsen, E. B. (2021). Factors correlated with running economy among elite middle- and long-distance runners. Phys-iological Reports, 9(20), e15076. https://doi.org/10.14814/phy2.15076
Heise, G., Shinohara, M., & Binks, L. (2008). Biarticular leg muscles and links to running economy. Inter-national Journal of Sports Medicine, 29 (8), 688–691. https://doi.org/10.1055/s-2007-989372
Heise, G. D., Morgan, D. W., Hough, H., & Craib, M. (1996). Relationships between running economy and temporal EMG characteristics of biarticular leg muscles. International Journal of Sports Medi-cine, 17(2), 128–133. https://doi.org/10.1055/s-2007-972820
Hermens, H. J., Freriks, B., Disselhorst-Klug, C., & Rau, G. (2000). Development of recommendations for SEMG sensors and sensor placement procedures. Journal of Electromyography and Kinesiology, 10(5), 361–374. https://doi.org/10.1016/s1050-6411(00)00027-4
Higashihara, A., Ono, T., Kubota, J., Okuwaki, T., & Fukubayashi, T. (2010). Functional differences in the activity of the hamstring muscles with increasing running speed. Journal of Sports Sciences, 28(10), 1085–1092. https://doi.org/10.1080/02640414.2010.494308
Kellis, E., & Liassou, C. (2009). The effect of selective muscle fatigue on sagittal lower limb kinematics and muscle activity during level running. Journal of Orthopaedic & Sports Physical Therapy, 39(3), 210–220. https://doi.org/10.2519/jospt.2009.2859
Kellis, E., Zafeiridis, A., & Amiridis, I. G. (2011). Muscle coactivation before and after the impact phase of running following isokinetic fatigue. Journal of Athletic Training, 46 (1), 11–19. https://doi.org/10.4085/1062-6050-46.1.11
Kubo, S., Yaeshima, K., Suzuki, T., Daigo, E., Kitaoka, Y., & Kinugasa, R. (2024). Influence of foot strike pattern on co-contraction around the ankle and oxygen uptake during running at 19 km/h. Physiological Reports, 12(17), e70023. https://doi.org/10.14814/phy2.70023
Landin, D., Thompson, M., & Reid, M. (2016). Actions of two bi-articular muscles of the lower extremi-ty: A review. Journal of Clinical Medicine Research, 8(7), 489–494. https://doi.org/10.14740/jocmr2478w
Lemineur, C., Blain, G. M., Piche, E., & Gerus, P. (2024). Relationship between metabolic cost, muscle moments and co-contraction during walking and running. Gait & Posture, 113, 345–351. https://doi.org/10.1016/j.gaitpost.2024.07.008
Liu, B., Wu, J., Shi, Q., Hao, F., Xiao, W., Yu, J., Yu, F., & Ren, Z. (2022). Running economy and lower ex-tremity stiffness in endurance runners: A systematic review and meta-analysis. Frontiers in Physiology, 13, 1059221. https://doi.org/10.3389/fphys.2022.1059221
Llanos-Lagos, C., Ramirez-Campillo, R., Moran, J., & Sáez de Villarreal, E. (2024). Effect of strength train-ing programs in middle- and long-distance runners' economy at different running speeds: A sys-tematic review with meta-analysis. Sports Medicine, 54(4), 895–932. https://doi.org/10.1007/s40279-023-01978-y
Moore, I. S. (2016). Is there an economical running technique? A review of modifiable biomechanical factors affecting running economy. Sports Medicine, 46(6), 793–807. https://doi.org/10.1007/s40279-016-0474-4
Moore, I. S., Jones, A. M., & Dixon, S. J. (2014). Relationship between metabolic cost and muscular coac-tivation across running speeds. Journal of Science and Medicine in Sport, 17(6), 671–676. https://doi.org/10.1016/j.jsams.2013.09.014
Pietraszewski, P., Maszczyk, A., Zając, A., & Gołaś, A. (2025). Muscle activity and biomechanics of sprinting: A meta-analysis review. Applied Sciences, 15(9), 4959. https://doi.org/10.3390/app15094959
Prilutsky, B. I., & Gregor, R. J. (2001). Swing and support related muscle actions differentially trigger human walk run and run-walk transitions. Journal of Experimental Biology, 204 (Pt 13), 2277–2287. https://doi.org/10.1242/jeb.204.13.2277
Rodríguez-Barbero, S., González-Ravé, J. M., Vanwanseele, B., Juárez Santos-García, D., Muñoz de la Cruz, V., & González-Mohíno, F. (2025). Effects of 20 weeks of endurance and strength training on running economy, maximal aerobic speed, and gait kinematics in trained runners. Applied Sci-ences, 15(2), 903. https://doi.org/10.3390/app15020903
Sadeghi, R., Bazzazi, M., Ebrahimzadeh, M. H., & Aslani, H. R. (2024). Lower limb muscle co-activation maps in single and team lifting at different risk levels. Applied Sciences, 14(11), 4635. https://doi.org/10.3390/app14114635
Saunders, P. U., Pyne, D. B., Telford, R. D., & Hawley, J. A. (2004a). Factors affecting running economy in trained distance runners. Sports Medicine, 34(7), 465–485. https://doi.org/10.2165/00007256-200434070-00005
Saunders, P. U., Pyne, D. B., Telford, R. D., & Hawley, J. A. (2004b). Reliability and variability of running economy in elite distance runners. Medicine & Science in Sports & Exercise, 36(11), 1972–1976. https://doi.org/10.1249/01.mss.0000145468.17329.9f
Schober, P., Boer, C., & Schwarte, L. A. (2018). Correlation coefficients: Appropriate use and interpreta-tion. Anesthesia & Analgesia, 126(5), 1763–1768. https://doi.org/10.1213/ANE.0000000000002864
Silva, N. R. S., Pacheco, M. M., Fujita, R. A., Villalba, M. M., & Gomes, M. M. (2023). Individual control strategies in training: Myoelectric activity and recruitment strategies in the co-contraction training. Brazilian Journal of Motor Behavior, 17(5), 228-237. https://doi.org/10.20338/bjmb.v17i5.386
Sundby, O. H., & Gorelick, M. L. (2014). Relationship between functional hamstring: quadriceps ratios and running economy in highly trained and recreational female runners. Journal of Strength and Conditioning Research, 28(8), 2214–2227. https://doi.org/10.1519/JSC.0000000000000376
Tam, N., Santos-Concejero, J., Coetzee, D. R., Noakes, T. D., & Tucker, R. (2017). Muscle co-activation and its influence on running performance and risk of injury in elite Kenyan runners. Journal of Sports Sciences, 35(2), 175–181. https://doi.org/10.1080/02640414.2016.1159717
Tartaruga, M. P., Brisswalter, J., Peyré-Tartaruga, L. A., Avila, A. O., Alberton, C. L., Coertjens, M., Cadore, E. L., Tiggemann, C. L., Silva, E. M., & Kruel, L. F. M. (2012). The relationship between running economy and biomechanical variables in distance runners.Research Quarterly for Exercise and Sport, 83(3), 367–375. https://doi.org/10.1080/02701367.2012.10599870.
Van Hooren, B., Lennartz, R., Cox, M., Hoitz, F., Plasqui, G., & Meijer, K. (2024). Differences in running technique between runners with better and poorer running economy and lower and higher mileage: An artificial neural network approach. Scandinavian Journal of Medicine & Science in Sports, 34(3), e14605. https://doi.org/10.1111/sms.14605
Zecchin, A., de Lima, L. R. C., Puggina, E. F., & Tasinafo-Júnior, M. F. (2025). Efectos del entrenamiento de resistencia en la economía de carrera: una revisión sistemática y un metaanálisis. Retos, 71, 275-287. https://doi.org/10.47197/retos.v71.113574
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