Comparative analysis of somatotype indicators and performance rates in cadets engaged in kettlebell lifting
DOI:
https://doi.org/10.15561/20755279.2026.0305Keywords:
kettlebell sport, somatotype, bioimpedance method, indices, performance.Abstract
Background and Study Aim. The bioimpedance method is used to evaluate body composition due to its objectivity, non-invasiveness, and ease of use at various levels. Its application helps establish the relationship between body composition and physical performance, predict competitive success, and assess training efficiency. This method is widely used in strength sports. The aim of this study was to compare the somatotype indicators of cadets engaged in kettlebell lifting with their actual competitive performance. Materials and Methods. Sixty-two kettlebell lifting athletes, all cadets at military academies, were divided into two groups. Group 1 included 42 athletes aged 20.67 ± 0.39 years, with competitive levels ranging from beginner to first-class athlete. Group 2 consisted of 20 athletes, with a mean age of 22.20 ± 0.54 years. Their competitive level ranged from national- to international-level competitors (Candidate for Master of Sports, Master of Sports, and International-Class Master of Sports). The age difference between the groups was statistically significant (p < 0.05). Body height and body mass, body fat percentage (%), muscle mass percentage (%), visceral fat level (%), and basal metabolic rate (kcal) were measured. Total muscle mass (kg), fat mass (kg), body mass index (BMI), fat-free mass index (FFMI), skeletal muscle mass index (SMI), and performance index were calculated. To characterize the data, the median and the 1st (25th) and 3rd (75th) quartiles were determined. The significance of differences between groups was assessed using Rosenbaum's nonparametric criterion (Q) and the information measure of correlation (I) between the analyzed characteristics. Results. Most somatotype indicators showed similar values in both groups. Most participants had a body fat percentage above the average range and a muscle mass percentage within the average range. Most participants also had a BMI above the average range, an FFMI below the average range, and a high SMI. A significant increase in the performance index was observed in Group 2 (Q = 13, p < 0.05). A significant predominance of individuals with below-average FFMI was found in Group 1 (2I = 67.54, p < 0.01). Quartile ranges were established for the evaluated indices in kettlebell athletes. A performance index value of 155–209 was observed within the interquartile range for Group 1, whereas for Group 2 this range was 238–358. The interquartile range for FFMI was 16–18 kg/m² in Group 1 and 16–17 kg/m² in Group 2. The interquartile range for SMI was 8.1–9.2 kg/m² in Group 1 and 8.2–9.0 kg/m² in Group 2. Conclusions. Competitive performance differed significantly between the groups, whereas most somatotype indicators showed similar values. Quartile ranges were established for the performance index, FFMI, and SMI in kettlebell athletes. The bioimpedance-derived indices used in this study can be applied to characterize the somatotype features of kettlebell athletes and to compare athletes with different levels of competitive performance.References
Cebrián‐Ponce Á, Levi Micheli M, Politi C, Bianchi E, Carrasco‐Marginet M, Izzicupo P, et al. Bioelectrical impedance vector analysis and track and field jump performance across different specialties: Sex differences and electrode configuration. Physiological Reports, 2024;12(17): e70035. https://doi.org/10.14814/phy2.70035
Jacobs I, Lowe A, Garcia L, Zhang H. Advancing physical activity monitoring through bioimpedance measurement: a review. Progress in Biomedical Engineering, 2026;8(2): 022002. https://doi.org/10.1088/2516-1091/ae3671
Wandrychowska D, Koźlenia D. Sex moderated effect of body composition indices on change of direction speed mediated through a linear speed in team sport athletes. Health, sport, rehabilitation, 2025;11(1): 18–28. https://doi.org/10.58962/HSR.2025.11.1.18-28
Liu Y, Xu X, Yang A. Bioelectrical impedance vector analysis (BIVA) in sports science: Applications, insights and future directions. International Journal of Electrochemical Science, 2025;20(12): 101222. https://doi.org/10.1016/j.ijoes.2025.101222
Silleras BDM, Ares GC, Marcos SDLC, Enciso LC, Fernández EQ, Río PRD. Bioelectrical Impedance Vector Analysis (BIVA) and Somatotype in Female Rugby Players. Applied Sciences, 2023;13(9): 5242. https://doi.org/10.3390/app13095242
Kalnina L, Sauka M, Timpka T, Dahlström Ö, Nylander E, Selga G, et al. Body fat in children and adolescents participating in organized sports: Descriptive epidemiological study of 6048 Latvian athletes. Scandinavian Journal of Public Health, 2015;43(6): 615–622. https://doi.org/10.1177/1403494815581696
Kongsvold A, Skarpsno ES, Flaaten M, Logacjov A, Bach K, Nilsen TIL, et al. Associations of sport and exercise participation in adolescence with body composition and device-measured physical activity in adulthood: longitudinal data from the Norwegian HUNT study. International Journal of Behavioral Nutrition and Physical Activity, 2025;22(1): 29. https://doi.org/10.1186/s12966-025-01726-7
Castizo-Olier J, Irurtia A, Jemni M, Carrasco-Marginet M, Fernández-García R, Rodríguez FA. Bioelectrical impedance vector analysis (BIVA) in sport and exercise: Systematic review and future perspectives. Nordez A (ed.) PLOS ONE, 2018;13(6): e0197957. https://doi.org/10.1371/journal.pone.0197957
Sugiarto D, Ramadhan MP, Pribadi HP. Analisis Perbandingan Indeks Massa Tubuh Atlet Wanita: Atletik vs Taekwondo. Sport Science and Health, 2024;6(6): 658–662. https://doi.org/10.17977/um062v6i62024p658-662
Rueda-Cordoba M, Martin-Olmedo JJ, Espinar S, Ruiz JR, Jurado-Fasoli L. Multidimensional Differences Between Athletes of Endurance, Strength, and Intermittent Sports: Body Composition, Diet, Resting Metabolic Rate, Physical Activity, Sleep Quality, and Subjective Well-Being. Nutrients, 2025;17(7): 1172. https://doi.org/10.3390/nu17071172
Podrigalo LV, Artemieva HP, Rovnaya OA, Panshyna AD, Ruban LA, Merkulova TV, et al. Analysis of the physical development and somatotype of girls and females involved into dancing and gymnastic sports. Physical Education of Students, 2018;23(2): 75–81. https://doi.org/10.15561/20755279.2019.0204
Wagner DR, Heath EM, Harper SA, Cafferty EA, Teramoto M, Evans A, et al. Multicomponent body composition of university club sport athletes. Journal of the International Society of Sports Nutrition, 2025;22(1): 2446575. https://doi.org/10.1080/15502783.2024.2446575
Toselli S, Zaccagni L, Rinaldo N, Mauro M. Somatotype and Bioelectrical Impedance Vector Analysis in the Evaluation of Reference Characteristics of Elite Young Basketball Players. Applied Sciences, 2025;15(6): 2894. https://doi.org/10.3390/app15062894
Bertozzi F, Tenderini D, Camuncoli F, Simoni G, Galli M, Tarabini M. Bioimpedance Vector Analysis-Derived Body Composition Influences Strength and Power in Alpine Skiers. Research Quarterly for Exercise and Sport, 2024;95(3): 705–711. https://doi.org/10.1080/02701367.2023.2298464
Dopsaj M, Siljeg K. Relationship Between Body Composition and Sprint Swimming Performances in Butterfly Sprinter: Seven-Year Longitudinal Single-Case Study. International Journal of Morphology, 2025;43(4): 1260–1266. https://doi.org/10.4067/s0717-95022025000401260
Busta J, Hellebrand J, Kinkorová I, Duchoňová A, Hybská T, Sánchez CC, et al. Body morphology and handgrip strength parameters of the female canoe slalom paddlers. Frontiers in Physiology, 2024;15: 1343341. https://doi.org/10.3389/fphys.2024.1343341
Podrigalo L, Cynarski WJ, Rovnaya O, Volodchenko O, Halashko O, Volodchenko J. Studying of physical development features of elite athletes of combat sports by means of special indexes. Ido Movement for Culture. Journal of Martial Arts Anthropology, 2019;(19): 51–57. https://doi.org/10.14589/ido.19.1.5
Khomenko RV, Antropova EV, Zavadyak II. Operational monitoring of functional parameters in strength sports. Human Sport Medicine, 2023; 23:39–46. https://doi.org/10.14529/hsm23s106
Body Composition Monitor BF511. Instruction Manual [Internet]. 2011 [updated 2025 Jun; cited 2025 Sep 28]. Available from: https://gzhls.at/blob/ldb/e/6/f/c/be4cc09431067d512bd0a318aef6884c3008.pdf
Rovnaya O, Podrigalo L, Iermakov S, Yermakova T, Potop V. The Application of the Index Method to Assess the Condition of Armwrestling Athletes with Different Levels of Sports Mastery. Revista Romaneasca pentru Educatie Multidimensionala, 2019; 242–256. https://doi.org/10.18662/rrem/187
Podrihalo O, Podrigalo L, Jagiełło W, Iermakov S, Yermakova T. Substantiation of Methods for Predicting Success in Artistic Swimming. International Journal of Environmental Research and Public Health, 2021;18(16): 8739. https://doi.org/10.3390/ijerph18168739
Durkalec-Michalski K, Podgorski T, Sokolowski M, Jeszka J. Relationship between body composition indicators and physical capacity of the combat sports athletes. Archives of Budo, 2016;12: 247–256.
Pearson J, Spathis JG, Van Den Hoek DJ, Owen PJ, Weakley J, Latella C. Effect of Competition Frequency on Strength Performance of Powerlifting Athletes. Journal of Strength and Conditioning Research, 2020;34(5): 1213–1219. https://doi.org/10.1519/JSC.0000000000003563
Palazzo R, Parisi T, Rosa S, Corsi M, Falconi E, Stefani L. Energy Availability and Body Composition in Professional Athletes: Two Sides of the Same Coin. Nutrients, 2024;16(20): 3507. https://doi.org/10.3390/nu16203507
Jagiello M, Iermakov SS, Nowinski M. Differentiation of the somatic composition of students physical education specialising in various sports. Archives of Budo Science of Martial Arts And Extreme Sports, 2017;13: 63–70.
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Copyright (c) 2026 Leonid Podrigalo, Olexandr Halashko, Olha Podrihalo, Iryna Kalynychenko, Tetiana Hurtova, Oksana Matveyko, Ruslan Kanunov, Wladyslaw Jagiello

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