Abstract
The purpose of the study was to clarify how the anthropometric characteristics of track-and-field athletes are related to performance in sprint, middle-distance, and long-distance running. The study was conducted on 6-10 April 2025 at the Hryhorii Skovoroda University in Pereiaslav, with the participation of 90 male track-and-field athletes aged 18-24 years, divided into sprint, middle-distance, and long-distance groups. Anthropometric indicators, control running results, and statistical relationships between physical parameters and sports performance were assessed. The results showed distance-specific features of anthropometric profile, running speed, correlation patterns, and regression predictors. Sprinters had higher body mass, single-leg thigh circumference, and muscle mass percentage: 82.4 ± 6.8 kg, 62.8 ± 3.4 cm, and 47.8 ± 3.0%, which reflected the predominance of the muscle-strength component over short distances. Among long-distance runners, lower body mass, body mass index, and fat mass percentage – 70.8 ± 5.7 kg, 22.6 ± 1.3 kg/ m², and 9.8 ± 1.8% – were associated with greater economy in prolonged running. Mean speed was 8.63 ± 0.41, 5.71 ± 0.32, and 4.62 ± 0.28 m/s in the sprint, middle-distance, and long-distance groups, respectively. The correlations linked sprint speed with muscle mass (r = 0.62), whereas in long-distance runners, speed had an inverse association with fat mass (r = -0.56). The regression models explained 51%, 46%, and 49% of speed variability, confirming the different role of anthropometric factors in each running specialisation. The results confirmed that the anthropometric determinants of performance differ by running specialisation: muscle-strength parameters predominate in sprinting, whereas lower fat mass and a more economical body-build profile are more important over long distances. In practical terms, these data may be used by coaches, athletics teachers, and sports selection specialists to refine distance specialisation and individualise the training process
Keywords
distance specialisation; sprint; body mass index; body build; long-distance runners; speed-strength realisation; endurance
References
- Aikawa, Y., Murata, M., & Omi, N. (2020). Relationship of height, body mass, muscle mass, fat mass, and the percentage of fat with athletic performance in male Japanese college sprinters, distance athletes, jumpers, throwers, and decathletes. The Journal of Physical Fitness and Sports Medicine, 9(1), 7-14. doi: 10.7600/jpfsm.9.7.
- Azim, A., Hossain, J., Ceylan, H.I., Muntean, R.I., & Haque, M.M. (2025). Unlocking the fast track: Exploring the interplay between body composition and athletes’ performance in the 100 m sprint. Motricidade, 21, article number e40642. doi: 10.6063/motricidade.40642.
- Black, M.I., Allen, S.J., Forrester, S.E., & Folland, J.P. (2020). The anthropometry of economical running. Medicine & Science in Sports & Exercise, 52(3), 762-770. doi: 10.1249/MSS.0000000000002158.
- Christou, G.A., Pagourelias, E.D., Deligiannis, A.P., & Kouidi, E.J. (2021). Exploring the anthropometric, cardiorespiratory, and haematological determinants of marathon performance. Frontiers in Physiology, 12, article number 693733. doi: 10.3389/fphys.2021.693733.
- Dammicco, A., & Reina, G. (2025). Body composition analysis in runners using bioimpedance technique. IEEE Access, 13, 208212-208226. doi: 10.1109/ACCESS.2025.3635046.
- George, M. (2025). Kinanthropometric predictors of event-specific performance in track and field athletes. Sports Science & Health Advances, 3(1), 394-402. doi: 10.60081/SSHA.3.1.2025.394-402.
- Hayes, P.R., & Gordon, D.A. (2021). Physiological determinants of middle-and long-distance running. In R. Blagrove & P. Hayes (Eds.), The science and practice of middle and long distance running (pp. 3-16). New York: Routledge. doi: 10.4324/9781003088912-2.
- Herrera-Amante, C.A., Carvajal-Veitía, W., Octavio Ramos-García, C., Garcia-Carrillo, E., Cortés-Roco, G., OlivaresArancibia, J., Aguilera-Martínez, N., & Yáñez-Sepúlveda, R. (2025). Anthropometric characteristics, somatotype, and body composition: Differences by sport category and sex in elite Cuban and Mexican track and field athletes. International Journal of Morphology, 43(2). doi: 10.4067/S0717-95022025000200527.
- Ivanyshyn, I., Vypasniak, I., Ivanyshyn, Y., Boichuk, R., Vintoniak, O., & Tretiak, D. (2024). Spirographic study of functional reserves of masters’ athletes in track-and field. Pedagogy of Physical Culture and Sports, 28(6), 468-478. doi: 10.15561/26649837.2024.0601.
- Kettunen, O., Mikkola, J., & Ihalainen, J.K. (2025). Associations between body composition and performance in elite endurance athletes. International Journal of Sports Physiology and Performance, 20(11), 1530-1537. doi: 10.1123/ ijspp.2024-0506.
- Kolot, A., Sovenko, S., & Rezanov, O. (2025). Theoretical and methodological foundations for improving technical skills of highly skilled athletes in track and field competitions. Journal of Physical Education and Sport, 25(7), 13531364. doi: 10.7752/jpes.2025.07151.
- Nikolaidis, P.T., & Knechtle, B. (2024). Physiology of marathon: A narrative review of runners’ profile and predictors of performance. Physiologia, 4(3), 317-326. doi: 10.3390/physiologia4030019.
- Novikova, I., Prus, N., & Uskova, S. (2025). Specific aspects of the impact of track and field training on human health. Scientific Journal of the Ukrainian State University Named After Mykhailo Drahomanov. Series 15, 5(192), 109-112. doi: 10.31392/UDU-nc.series15.2025.05(192).24.
- Pavlovic, R., Mihajlović, I., Radulović, N., & Nikolić, S. (2022). Anthropometric parameters of elite male runners sprint: Are body height and body weight predictors of results. Health, Sport, Rehabilitation, 8(3), 64-74. doi: 10.34142/ HSR.2022.08.03.05.
- Peyré-Tartaruga, L.A., Machado, E., Guimarães, P., Borba, E., Tartaruga, M.P., Buzzachera, C.F., Correale, L., Lanferdini, F.J., & da Silva, E.S. (2024). Biomechanical, physiological and anthropometrical predictors of performance in recreational runners. PeerJ, 12, article number e16940. doi: 10.7717/peerj.16940.
- Polianska, O.S., Hrechko, S.I., Tovkach, Yu.V., Tashchuk, L.V., Skoreiko, P.M., & Andriiets, M.M. (2025). The significance of anthropometric assessment results for predicting athletic performance. Current Problems of Modern Medicine: Bulletin of the Ukrainian Medical Stomatological Academy, 25(1), 70-74. doi: 10.31718/2077-1096.25.1.70.
- Radhakrishnan, N.P., et al. (2025). Analysis of performance determinants in middle-distance runners: The influence of training load, physiological traits, and recovery indicators. International Journal of Human Movement and Sports Sciences, 13(5), 1003-1015. doi: 10.13189/saj.2025.130501.
- Rickta, J.F., Arafat, Y., Mukta, F.T.J., & Islam, R. (2025). Correlation between body fat percentage and aerobic capacity in various athletes: An open assessment. Scientific Journal of Sport and Performance, 4(1), 85-91. doi: 10.55860/ XEOZ6800.
- Rosado, J., et al. (2020). Body composition among long distance runners. Revista da Associação Médica Brasileira, 66, 180-186. doi: 10.1590/1806-9282.66.2.180.
- Sanchez Munoz, C., Muros, J.J., Lopez Belmonte, O., & Zabala, M. (2020). Anthropometric characteristics, body composition and somatotype of elite male young runners. International Journal of Environmental Research and Public Health, 17(2), article number 674. doi: 10.3390/ijerph1702067.
- Stachoń, A., Pietraszewska, J., & Burdukiewicz, A. (2023). Anthropometric profiles and body composition of male runners at different distances. Scientific Reports, 13, article number 18222. doi: 10.1038/s41598-023-45064-9.
- The Declaration of Helsinki. (2024). Retrieved from https://www.wma.net/wp-content/uploads/2024/10/DoHOct2013.pdf.
- Thuany, M., Hill, L., Alvero-Cruz, J.R., Knechtle, B., & Gomes, T.N. (2023a). The relationship between training volume and bmi in the expression of running performance in runners: A mediation model. Journal of Science in Sport and Exercise, 5(2), 142-148. doi: 10.1007/s42978-022-00172-2.
- Thuany, M., Knechtle, B., Santana, A., & Gomes, T.N. (2023b). Anthropometric, training, and social variables associated with performance in runners from 5 km to marathon. Science & Sports, 38(3), 310.e1-310.e8. doi: 10.1016/j. scispo.2022.04.005.
- Tomita, D., Suga, T., Terada, M., Tanaka, T., Miyake, Y., Ueno, H., Otsuka, M., Nagano, A., & Isaka, T. (2020). A pilot study on a potential relationship between leg bone length and sprint performance in sprinters; Are there any eventrelated differences in 100-m and 400-m sprints? BMC Research Notes, 13(1), article number 297. doi: 10.1186/s13104020-05140-z.
- Ueno, H., Suga, T., Takao, K., Terada, M., Nagano, A., & Isaka, T. (2021). Relationship between body segment mass and running performance in well-trained endurance runners. Journal of Applied Biomechanics, 37(6), 531-537. doi: 10.1123/jab.2020-0239.
- Vdovenko, N.V., Husarova, A.M., Maidaniuk, O.V., Osypenko, H.A., & Kozak, I.O. (2024). Fat content in qualified athletes of different specialties. Olympicus, 2, 45-50. doi: 10.24195/olympicus/2024-2.6.
- Wiriawan, O., & Kesa, M. (2020). Physical analysis of capacity of sprint and middle distance runners. International Journal of Innovation Creation Change, 14(4), 557-567.