Intra- and intergroup interrelations of parameters of physical development structure and speed-strength fitness of highly skilled combat athletes

Authors

DOI:

https://doi.org/10.15561/20755279.2025.0102

Keywords:

physical development, physical fitness, interrelations, models, combat athletes

Abstract

Background and Study Aim. The objective of this work is to study intra- and intergroup interrelations of parameters of physical development (PD) structure and speed-strength fitness (SSF) of highly skilled combat athletes. Material and Methods. The research was conducted on 44 highly skilled athletes aged 18–30 years, members of the national teams of Ukraine in Greco-Roman and freestyle wrestling, and judo. Most of them were students. In the course of studies, 39 PD and 11 physical fitness (PF) indices were recorded. Of the PD parameters, the circumferential (CBD) and transverse body dimensions, and skinfold (SF) thickness were registered, whereas of the PF parameters — indices of SSF and special work capacity of combat athletes. The methods of factor, correlation, regression, and canonical analysis were used to process and analyze the experimental material. Results. Statistical analysis revealed three key factors determining the general structure of PD and PF of combat athletes: 1) the factor of CBD; 2) the factor of SSF; 3) the factor of SF thickness and the total level of the fat component. As a result of stepwise regression analysis, multiple regression models characterizing the influence of the key PD and SSF indices on the level of special work capacity of combat athletes were developed. Canonical analysis of interrelations between the parameters of SSF and CBD revealed a high interdependence, indicating that the increase in the CBD of combat athletes contributes to the increase in their SSF and vice versa—the increase in SSF contributes to the increase in CBD. A moderate interdependence was disclosed between the parameters of SF and SSF, explaining the variability of a relatively small part of one group’s parameters when changing the parameters of the other group. The results of the interaction between SF and CBD indicate that the SF thickness indices show a low dependence on the changes in CBD, whereas the latter demonstrates a strong dependence on SF thickness. Conclusions. The key factors of the structure of PD and PF of combat athletes include CBD, SSF, and SF thickness. As a result of the canonical analysis: 1) the specificity of mutual influence and interrelations of the CBD, SSF, and SF indices was determined; 2) the key factors and indices determining the general variability (redundancy) of the parameters of each group under study were revealed; 3) strong, moderate, and weak intra- and intergroup paired interrelations of the CBD, SF thickness, and SSF indices were disclosed. The strongest intra-group interrelations are manifested between the CBD indices, whereas the strongest inter-group interrelations are between the CBD and SF thickness indices.

Author Biographies

Oleksandr Pryimakov, Szczecin University

sanaol7.alex@gmail.com; Faculty of Physical Culture and Health Promotion (Szczecin, Poland); Faculty of Physical Culture and Health, Mykhailo Drahomanov Ukrainian State University (Kyiv, Ukraine).

Marek Sawczuk, Gdansk University of Physical Education and Sport

Marek.Sawczuk@usz.edu.pl; Department of Physical Education; Gdansk, Poland.

Georgiy Korobeynikov, Uzbek State University of Physical Education and Sports

k.george.65.w@gmail.com; National University of Physical Education and Sport of Ukraine (Kiev, Ukraine); Department of Theory and Methodology of International Wrestling (Chirchik, Tashkent, Uzbekistan).

Nataliya Mazurok, Mykhailo Drahomanov Ukrainian State University

natprim75@gmail.com; Faculty of Physical Culture and Health Promotion, Szczecin University (Szczecin, Poland); Faculty of Physical Culture and Health (Kyiv, Ukraine).

Olena Omelchuk, Mykhailo Drahomanov Ukrainian State University

ovomelchuk@ukr.net; Faculty of Physical Education, Sports and Health, Kyiv, Ukraine.

References

Podrigalo LV, Podrihalo OO, Jagiello W, Podavalenko OV, Masliak IP, Tropin YM, et al. Morphofunctional characteristics of single combats athletes as factors of success. Physical Education of Students, 2021;25(5): 265–271. https://doi.org/10.15561/20755279.2021.0502

Vardar SA, Tezel S, Ozturk L, Kaya O. The relationship between body composition and anaerobic performance of elite young wrestlers. J Sports Sci Med. 2007;6:34–38.

Pryimakov OO. Comparative characteristics structure physically prepared fighters’ high qualification light, medium and heavy weight category. Pedagog Psychol Med-Biol Probl Phys Educ Sport. 2014;9:47–53. https://doi.org/10.5281/zenodo.10128.

Mirzaei B, Curby DG, Barbas I, Lotfi N. Differences in Some Physical Fitness and Anthropometric Measures Between Greco-Roman and Freestyle Wrestlers. International Journal of Wrestling Science, 2013;3(1): 94–102. https://doi.org/10.1080/21615667.2013.10878973

Jagiello W, Dornowski M, Jagiello M. Perkal’s natural indicators method in assessing body composition properties in persons practising combat sports - analysis research results. Arch Budo Sci Martial Arts Extreme Sports. 2018;14:75–80.

Shariat A, Shaw BS, Kargarfard M, Shaw I, Lam ETC. Kinanthropometric attributes of elite male judo, karate and taekwondo athletes. Revista Brasileira de Medicina do Esporte, 2017;23(4): 260–263. https://doi.org/10.1590/1517-869220172304175654

Sirazetdinov RE, Negasheva MA, Bondareva EA. Morphological features as criteria for sports selection in combat sports. Hum Sport Med. 2021;21(4):42–48.

Ait Ali Yahia A. The impact of classified and unclassified techniques on the male medalists’ offensive activity at the 2004–2016 Olympic Games. Baltic Journal of Health and Physical Activity, 2020;12(4): 59–73. https://doi.org/10.29359/BJHPA.12.4.06

Adam M, Klimowicz P, Pujszo R. Judoists’ tactical and technical efficiency during the World Championships in 2014 and 2015. Baltic Journal of Health and Physical Activity, 2016;8(2): 19–28. https://doi.org/10.29359/BJHPA.08.2.02

Tropin YN, Korobeynikov GV, Shatskikh VV, Korobeynikova LG, Vorontsov AV. Model characteristics of technico-tactical fitness of highly skilled Greco-Roman wrestlers of different weight categories. Sci Olympic Sports. 2019;2:29-36.

Rutkowska K, Gierczuk D. Coping styles and achievement motivation in elite wrestlers. Arch Budo Sci Martial Art Extreme Sport. 2018; 14:179–188.

Korobeynikova L, Tropin Y, Korobeynikov G, Shenpen G. Link of cognitive functions from special training of qualified boxers. Single combats, 2021;(4(22)): 26–38. https://doi.org/10.15391/ed.2021-4.03

Podrigalo LV, Volodchenko AA, Rovnaya OA, Ruban LA, Sokol KM. Analysis of adaptation potentials of kick boxers’ cardio-vascular system. Pedagogics, psychology, medical-biological problems of physical training and sports, 2017;21(4):185–91. https://doi.org/10.15561/18189172.2017.0407

Barbas I, Fatouros IG, Douroudos II, Chatzinikolaou A, Michailidis Y, Draganidis D, et al. Physiological and performance adaptations of elite Greco-Roman wrestlers during a one-day tournament. European Journal of Applied Physiology, 2011;111(7): 1421–1436. https://doi.org/10.1007/s00421-010-1761-7

Nikooie R, Cheraghi M, Mohamadipour F. Physiological determinants of wrestling success in elite Iranian senior and junior Greco-Roman wrestlers. The Journal of Sports Medicine and Physical Fitness, 2017;57(3). https://doi.org/10.23736/S0022-4707.16.06017-5

Mirzaei B, Ghahremani Moghaddam M, Alizaee Yousef Abadi H. Analysis of Energy Systems in Greco-Roman and Freestyle Wrestlers Who Participated in the 2015 and 2016 World Championships. International Journal of Wrestling Science, 2017;7(1–2): 35–40. https://doi.org/10.1080/21615667.2017.1394402

Pryimakov O, Sawczuk M, Mazurok N, Omelchuk O. Morphometric correlates of the physical development structure of combat athletes in the process of ensuring special work capacity. Physical Education of Students, 2024;28(4): 218–226. https://doi.org/10.15561/20755279.2024.0404

Podrigalo LV, Iermakov SS, Alekseev AF, Rovnaya OA. Studying of interconnectios of morphological functional indicators of students, who practice martial arts. Physical Education of Students, 2016;20(1): 64–70. https://doi.org/10.15561/20755279.2016.0109

Podrigalo LV, Volodchenko AA, Rovnaya OA, Podavalenko OV, Grynova TI. The prediction of success in kickboxing based on the analysis of morphofunctional, physiological, biomechanical and psychophysiological indicators. Physical Education of Students, 2018;22(1): 51. https://doi.org/10.15561/20755279.2018.0108

Burdukiewicz A, Pietraszewska J, Stachoń A, Andrzejewska J. Anthropometric profile of combat athletes via multivariate analysis. The Journal of Sports Medicine and Physical Fitness, 2018;58(11). https://doi.org/10.23736/S0022-4707.17.07999-3

Ferreira Marinho B, Vidal Andreato L, Follmer B, Franchini E. Comparison of body composition and physical fitness in elite and non-elite Brazilian jiu-jitsu athletes. Science & Sports, 2016;31(3): 129–134. https://doi.org/10.1016/j.scispo.2015.12.001

Konstantinova LI, Semenova EI, Okhlopkova ED, Efremova AV, Olesova LD, Krivoshapkina ZN, et al. Morphofunctional indicators of organism of the athletes-wrestlers of Yakutia. Yakut Medical Journal, 2019;(1): 24–27. https://doi.org/10.25789/YMJ.2019.65.07

Górski M, Orysiak J. Differences between anthropometric indicators and the impact force of taekwondo kicks performed with the dominant and non-dominant limb. Biomedical Human Kinetics, 2019;11(1): 193–197. https://doi.org/10.2478/bhk-2019-0027

Witkowski K, Superson M, Piepiora P. Body composition and motor potential of judo athletes in selected weight categories. Arch Budo. 2021;17:161–75.

Durkalec-Michalski K, Podgórski T, Sokołowski M, Jeszka J. Relationship between body composition indicators and physical capacity of the combat sports athletes. Arch Budo. 2016;12:247–256.

Ferreira Marinho B, Vidal Andreato L, Follmer B, Franchini E. Comparison of body composition and physical fitness in elite and non-elite Brazilian jiu-jitsu athletes. Science & Sports, 2016;31(3): 129–134. https://doi.org/10.1016/j.scispo.2015.12.001

Kozin VY, Pustomelnik O, Bielievtsov M, Kozina ZhL. Individual factor structure of biomechanical and psychophysiological indicators as a basis for determining the fighting style of qualified mixed martial arts (MMA) fighters. Health-saving technologies, rehabilitation and physical therapy, 2022;3(1): 60–67. https://doi.org/10.58962/HSTRPT.2022.3.1.60-67

Chaabene H, Negra Y, Bouguezzi R, Mkaouer B, Franchini E, Julio U, et al. Physical and Physiological Attributes of Wrestlers: An Update. Journal of Strength and Conditioning Research, 2017;31(5): 1411–1442. https://doi.org/10.1519/JSC.0000000000001738

World Medical Association Declaration of Helsinki: Ethical Principles for Medical Research Involving Human Subjects. JAMA, 2013;310(20): 2191. https://doi.org/10.1001/jama.2013.281053

TIBCO® Data Science. Statistica™ 13.5.0 [Internet]. 2018 [cited 2024 Jul 9]. Available from: https://docs.tibco.com/products/tibco-data-science-statistica-13-5-0

Brusov OS, Koliaskina GI, Kaleda VG, Sekirina TP, Kushner SG, Vasil'eva EF. The use of canonical correlation analysis for the evaluation of correlation strength between clinical and biological parameters. S.S. Korsakov Journal of Neurology and Psychiatry. 2010;110(1):11 19.

Härdle WK, Simar L. Canonical Correlation Analysis. In: Applied Multivariate Statistical Analysis, Cham: Springer International Publishing; 2019. P. 431–442. https://doi.org/10.1007/978-3-030-26006-4_16

Alekseeva V, Guryeva A, Nikolaeva E. Morphofunctional characteristics of adolescents and young males in combat sports. Human Sport Medicine, 2020;20(2): 38–46. https://doi.org/10.14529/hsm200205

Mirzaei B, Curby DG, Rahmani-Nia F, Moghadasi M. Physiological Profile of Elite Iranian Junior Freestyle Wrestlers. Journal of Strength and Conditioning Research, 2009;23(8): 2339–2344. https://doi.org/10.1519/JSC.0b013e3181bb7350

Jendoubi T, Strimmer K. A whitening approach to probabilistic canonical correlation analysis for omics data integration. BMC Bioinformatics, 2019;20(1): 15. https://doi.org/10.1186/s12859-018-2572-9

Waaijenborg S, Verselewel De Witt Hamer PC, Zwinderman AH. Quantifying the Association between Gene Expressions and DNA-Markers by Penalized Canonical Correlation Analysis. Statistical Applications in Genetics and Molecular Biology, 2008;7(1). https://doi.org/10.2202/1544-6115.1329

Hong S, Chen X, Jin L, Xiong M. Canonical correlation analysis for RNA-seq co-expression networks. Nucleic Acids Research, 2013;41(8): e95–e95. https://doi.org/10.1093/nar/gkt145

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Published

2025-02-28

How to Cite

1.
Pryimakov O, Sawczuk M, Korobeynikov G, Mazurok N, Omelchuk O. Intra- and intergroup interrelations of parameters of physical development structure and speed-strength fitness of highly skilled combat athletes. Physical Education of Students. 2025;29(1):13-26. https://doi.org/10.15561/20755279.2025.0102
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