Abstract
The aim of the study was to develop scientific and methodological approaches to optimising training load, taking into account the psychophysiological state of athletes using the example of boxing and kickboxing. The methodology was based on analysis, which allowed to identify psychophysiological indicators, synthesis, which was used to build a closed-loop model of “state – load – response”, comparison, which provided a comparison of styles and protocols, generalisation, which determined the principles of individualisation, induction, which revealed typical threshold solutions, and deduction, which checked their logical consistency in training scenarios. On this basis, practical recommendations were formed on the zonal logic of load correction and a roadmap for implementation in the training of boxers and kickboxers. The results of the study found that heart rate variability below the individual 20th percentile was regarded as a signal to reduce training intensity and extend rest intervals. The analysis showed that the optimal monitoring organisation included daily morning recordings lasting about 5 minutes; cognitive tests of simple and selective response (2-5 min) were performed 2-3 times a week; neuromuscular tests were performed 2 times a week on the days of key stimuli. In the pre-competitive period, discrete control of readiness at time points -72, -48, -24, -12 and -2 hours before the start was effective. Additionally, it was found that inter-round intervals (60 seconds) were appropriate for “quick recording” of heart rate (30/60 seconds) and ultra-short cognitive tests lasting 10-15 seconds with 6-8 stimuli. The combination of these procedures provided multi-level control of the athletes’ condition and made it possible to adjust the load parameters in a timely manner. The results obtained have summarised and structured a system for monitoring and correcting training load in boxing and kickboxing, which included quantitative thresholds, measurement protocols and action algorithms. The proposed system can be used by coaches, sports scientists and training specialists to optimise loads, prevent overfatigue and increase the efficiency of the training process
Keywords
heart rate variability; latency; adaptation; neuromuscular readiness; recovery; zonal interpretation; cognitive-sensory motor tests
References
- Ambroży, T., Rydzik, Ł., Obmiński, Z., Klimek, A.T., Serafin, N., Litwiniuk, A., Czaja, R., & Czarny, W. (2021). The impact of reduced training activity of elite kickboxers on physical fitness, body build, and performance during competitions. International Journal of Environmental Research and Public Health, 18(8), article number 4342. doi: 10.3390/ijerph18084342.
- Babić, M., Pobrić, I., & Čular, D. (2023). Physiological response and biomarkers in kickboxing – systematic review. Physical Activity Review, 11(2), 120-137. doi: 10.16926/par.2023.11.27.
- Benedik, Ľ., & Görner, K. (2020). Psycho-physiological aspects in karate sports preparation. Sport i Turystyka, 3(2), 79-90. doi: 10.16926/sit.2020.03.14.
- Bertollo, M., Berchicci, M., & Di Fronso, S. (2021). Mind-body interaction in sport psychophysiology. In E. Filho & I. Basevitch (Eds.), Sport, exercise and performance psychology: Research directions to advance the field (pp. 118-132). Oxford: Oxford University Press. doi: 10.1093/oso/9780197512494.003.0009.
- Braun-Trocchio, R., Graybeal, A.J., Kreutzer, A., Warfield, E., Renteria, J., Harrison, K., Williams, A., Moss, K., & Shah, M. (2022). Recovery strategies in endurance athletes. Journal of Functional Morphology and Kinesiology, 7(1), article number 22. doi: 10.3390/jfmk7010022.
- Chmiel, J., & Nadobnik, J. (2025). Application of electroencephalography (EEG) in combat sports – review of findings, perspectives, and limitations. Journal of Clinical Medicine, 14(12), article number 4113. doi: 10.3390/jcm14124113.
- Coutts, A.J., Crowcroft, S., & Kempton, T. (2021). Developing athlete monitoring systems: Theoretical basis and practical applications. In M. Kellmann & J. Beckmann (Eds.), Recovery and well-being in sport and exercise (pp. 17-31). London: Routledge. doi: 10.4324/9781003258117.
- Crivelli, D., & Balconi, M. (2022). Neuroassessment in sports: An integrative approach for performance and potential evaluation in athletes. Frontiers in Psychology, 13, article number 747852. doi: 10.3389/fpsyg.2022.747852.
- Enes, A., Leonel, D.F., Oneda, G., Alves, R.C., Zandoná-Schmidt, B.A., Ferreira, L.H., Prestes, J., McAnulty, S.R., & Souza-Junior, T.P. (2023). Muscular adaptations and psychophysiological responses in resistance training systems. Research Quarterly for Exercise and Sport, 94(4), 982-989. doi: 10.1080/02701367.2022.2096843.
- Franchini, E. (2020). High-intensity interval training prescription for combat-sport athletes. International Journal of Sports Physiology and Performance, 15(6), 767-776. doi: 10.1123/ijspp.2020-0289.
- Hernandez-Martinez, J., Cid-Calfucura, I., Valdés-Badilla, P., Franchini, E., García-García, J. M., & Herrera-Valenzuela, T. (2024). Acute and chronic effects of muscle strength training on physical fitness in boxers: A scoping review. Applied Sciences, 14(21), article number 9706. doi: 10.3390/app14219706.
- Horokhov, S., & Yaremenko, S. (2024). Methodological approaches in professional training of future specialists in physical culture and sports. Pedagogical Sciences, 27(1), 96-102. doi: 10.33989/2524-2474.2024.1.308746.
- Jai, N.A., Rosly, M.M., & Abd Razak, N.A. (2020). Correlating psychophysiological responses of exergaming boxing for predictive heart rate regression models in young adults. IEEE Transactions on Games, 12(4), 398-405. doi: 10.1109/TG.2020.3039838.
- Kaya, O., & Gül, G. (2025). The effect of 8-week fast strength training on mixed martial athletes and boxers. European Journal of Physical Education and Sport Science, 12(3), 114-125. doi: 10.46827/ejpe.v12i3.5880.
- Kirk, C., Langan-Evans, C., Clark, D.R., & Morton, J.P. (2021). Quantification of training load distribution in mixed martial arts athletes: A lack of periodisation and load management. PLoS One, 16(5), article number e0251266. doi: 10.1371/journal.pone.0251266.
- Korobeinikova, I., Kokun, O., Raab, M., Korobeinikova, L., Korobeynikov, G., Kostiuchenko, V., Akustin, V., & Dekha, N. (2024). Psychophysiological states of elite athletes after critical life events. Pedagogy of Physical Culture and Sports, 28(2), 141-146. doi: 10.15561/26649837.2024.0208.
- Korobeynikov, G., Korobeinikova, L., Raab, M., Korobeinikova, I., Danko, T., Kokhanevich, A., Cynarski, W., & Mytskan, T. (2022). Psychophysiological state and decision making in wrestlers. Ido Movement for Culture, 22(5). doi: 10.14589/ido.22.5.2.
- Kozin, V., Omelchenko, M., Turchyk, I., & Yesman, I. (2022). Biomechanical and psychophysiological features of qualified veteran boxers of various fighting styles. Health, Sport, Rehabilitation, 8(1), 8-27. doi: 10.34142/HSR.2022.08.01.01.
- Kozin, V.Y., Falova, O.Y., Cretu, M., & Cieślicka, M. (2021). Determination of fighting styles of qualified veteran boxers based on cluster analysis of biomechanical and psychophysiological indicators. Health, Sport, Rehabilitation, 7(4), 19-34. doi: 10.34142/HSR.2021.07.04.02.
- Lapo, H.M., Chacon-Mikahil, M.P., & Sardeli, A.V. (2024). Psychophysiological factors are not directly associated to heart rate variability in athletes: A meta-analysis. Journal of Mental Health, 8(3), 7-16. doi: 10.29245/2578-2959/2024/3.1323.
- Limani, N., & Bulica, B. (2024). Insights into contemporary dynamics of combat sports: A holistic analysis. International Journal of Sport Sciences and Health, 11(23-24), 61-71. doi: 10.62792/ut.sport.v11.i23-24.p2541.
- Malikov, N., Tyshchenko, V., Bogdanovska, N., Savchenko, V., Moskalenko, N., Ivanenko, S., Vaniuk, D., Orlov, A., & Popov, S. (2021). Functional fitness assessment of elite athletes. Journal of Physical Education and Sport, 21(1), 374-380. doi: 10.7752/jpes.2021.01036.
- McCabe, D., Martin, D., & McMahon, G. (2023). Training load is correlated with changes in creatine kinase and wellness over a 12-week multi-stage preparatory training block for a major competition in international boxers. Physiologia, 3(4), 585-597. doi: 10.3390/physiologia3040043.
- Montull, L., Slapšinskaitė-Dackevičienė, A., Kiely, J., Hristovski, R., & Balagué, N. (2022). Integrative proposals of sports monitoring: Subjective outperforms objective monitoring. Sports Medicine-Open, 8(1), article number 41. doi: 10.1186/s40798-022-00432-z.
- Mosley, E., & Laborde, S. (2024). A scoping review of heart rate variability in sport and exercise psychology. International Review of Sport and Exercise Psychology, 17(2), 773-847. doi: 10.1080/1750984X.2022.2092884.
- Myroshnychenko, Y., Tropin, Y., & Kovalenko, J. (2020). Model characteristics of psychophysiological indicators of qualified kickboxers. Slobozhanskyi Herald of Science and Sport, 8(5), 34-44.
- Neumann, N.D., Van Yperen, N.W., Arens, C.R., Brauers, J.J., Lemmink, K.A., Emerencia, A.C., Meerhoff, L.A., Frencken, W., Brink, M., & Den Hartigh, R.J. (2025). How do psychological and physiological performance determinants interact within individual athletes? An analytical network approach. International Journal of Sport and Exercise Psychology, 23(4), 672-693. doi: 10.1080/1612197X.2024.2344108.
- Pavelka, R., Třebický, V., Třebická Fialová, J., Zdobinský, A., Coufalová, K., Havlíček, J., & Tufano, J.J. (2020). Acute fatigue affects reaction times and reaction consistency in mixed martial arts fighters. PloS One, 15(1), article number e0227675. doi: 10.1371/journal.pone.0227675.
- Pérez, L.R. (2019). The interconnection of the loads in the planning of the training, in the sport of boxing. Podium: Revista de Ciencia y Tecnología en la Cultura Física, 14(2), 181-203.
- Podrigalo, L., Romanenko, V., Podrihalo, O., Iermakov, S., Huba, A., Perevoznyk, V., & Podavalenko, O. (2023). Comparative analysis of psychophysiological features of taekwondo athletes of different age groups. Pedagogy of Physical Culture and Sports, 27(1), 38-44. doi: 10.15561/26649837.2023.0105.
- Potop, V., Ciorbă, C., Mihaila, I., Mihai, I., Mihailescu, L.E., & Acsinte, A. (2023). Carrying out the methodological approach of the scientific research in the physical education and sport science field. Physical Education of Students, 27(4), 201-211. doi: 10.15561/20755279.2023.0407.
- Pruneti, C., Ferrari, S., & Guidotti, S. (2023). A narrative review of heart rate variability as a good index of psychophysical health in athletes and in biofeedback training. Journal of Clinical Sport Psychology, 18(4), 422-449. doi: 10.1123/jcsp.2022-0016.
- Reichel, T., et al. (2022). Neurophysiological markers for monitoring exercise and recovery cycles in endurance sports. Journal of Sports Science & Medicine, 21(3), 446-457. doi: 10.52082/jssm.2022.446.
- Russell, S., Johnston, R.D., Stanimirovic, R., & Halson, S.L. (2024). Global practitioner assessment and management of mental fatigue and mental recovery in high‐performance sport: A need for evidence‐based best‐practice guidelines. Scandinavian Journal of Medicine & Science in Sports, 34(1), article number e14491. doi: 10.1111/sms.14491.
- Rydzik, Ł., Obmiński, Z., Wąsacz, W., Kopańska, M., Kubacki, R., Bagińska, M., Tota, L., Ambrozy, T., Witkowski, K., & Pałka, T. (2024). The effect of physical exercise during competitions and in simulated conditions on hormonal-neurophysiological relationships in kickboxers. Biology of Sport, 41(3), 61-68. doi: 10.5114/biolsport.2024.133662.
- Shestak, Y., Mulyk, V., & Okun, D. (2020). Influence of the use of special exercises on the psychophysiological indicators of young boxers aged 15-16 years old. Slobozhanskyi Herald of Science and Sport, 8(6), 85-94.
- Slimani, M., Miarka, B., Azevedo Teixeira, R.P., Znazen, H., Tod, D., Nikolaidis, P.T., & Bragazzi, N.L. (2022). Effect of acute boxing training session on cognitive function and psychological states. Medicina Dello Sport, 75(3), 404-412. doi: 10.23736/S0025-7826.22.04166-7.
- Stephen, S.J., Shan, G., Banks, S.J., Bernick, C., & Bennett, L.L. (2020). The relationship between fighting style, cognition, and regional brain volume in professional combatants: A preliminary examination using brief neurocognitive measures. Journal of Head Trauma Rehabilitation, 35(3), 280-287. doi: 10.1097/HTR.0000000000000540.
- Thompson, A.G., Ramadan, J.H., Alexander, J.S., & Galster, S.M. (2023). Psychophysiology, cognitive function, and musculoskeletal status holistically explain tactical performance readiness and resilience. Journal of Strength & Conditioning Research, 37(12), 2443-2456. doi: 10.1519/JSC.0000000000004580.
- Tuxtaevich, A.T. (2023). Features of fatigue and recovery of athletes. American Journal of Biomedical Science & Pharmaceutical Innovation, 3(12), 42-47. doi: 10.37547/ajbspi/Volume03Issue12-08.
- Vacher, P., Martinent, G., & Nicolas, M. (2023). From training load to emotional states: A combined transactional and biopsychological approach. International Journal of Stress Management, 30(1), 38-46. doi: 10.1037/str0000201.
- West, S.W., Clubb, J., Torres-Ronda, L., Howells, D., Leng, E., Vescovi, J.D., Carmody, S., Posthumus, M., Dalen-Lorentsen, T., & Windt, J. (2021). More than a metric: How training load is used in elite sport for athlete management. International Journal of Sports Medicine, 42(4), 300-306. doi: 10.1055/a-1268-8791.
- Wu, C.H., Yang, Y., Xu, X., Wang, N., Li, Q., Geng, L., & Bao, S.J. (2025). Mental fatigue impairs temporal perceptual prediction: A study on boxing performance across skill levels. Sports, 13(5), article number 154. doi: 10.3390/sports13050154.
- Yoda, I.K., Tisna, G.D., Suwiwa, I.G., Kusuma, K.C., & Junior, N.K. (2024). Recovery methods to reduce fatigue among athletes: A systematic review and future directions. Journal Sport Area, 9(2), 217-234. doi: 10.25299/sportarea.2024.vol9(2).16928.
- Yongtawee, A., Park, J., Kim, Y., & Woo, M. (2022). Athletes have different dominant cognitive functions depending on type of sport. International Journal of Sport and Exercise Psychology, 20(1). doi: 10.1080/1612197X.2021.1956570.
- Zadeh, A., Taylor, D., Bertsos, M., Tillman, T., Nosoudi, N., & Bruce, S. (2021). Predicting sports injuries with wearable technology and data analysis. Information Systems Frontiers, 23(4), 1023-1037. doi: 10.1007/s10796-020-10018-3.