Abstract
https://doi.org/10.58984/smbic250101059a
The aim of this study was to examine the relationship of various bioelectrical impedance analysis (BIA) body composition variables with kinematic and kinetic variables that were measured in vertical jumping task, in students of faculty of sport and physical education. The sample included 7 participants (6 males and 1 female, age 24.25±3.97 years, height 183.4±12.48 cm, weight 77.9± 13.36 kg, body mass index 23.0±1.46 kg/m2). BIA body composition variables (intra-celular water-ICW, extracelular water-ECW, proteins-PRT, minerals-MIN, body fat mass-BFM, skeletal muscle mass-SMM, visceral fat are-VFA) were measured via InBody 720, while kinematic and kinetic variables (maximal jump force-Fmax, maximal jump power-Pmax, maximal jump velocity-Vmax, concentric action jump time-T) were measured on force plates. Pearson correlation analysis revealed that significant association was established between: Fmax with BH, BM, ICW, ECW, PRT, and MIN, and Pmax with BH, BM, ICW, ECW, PRT, MIN, and SMM, while Vmax and T failed to made im-pact on BIA variables. Backward regression analysis (r2) identified BM as the most important deter-minants of Fmax (r2=0.878), and Pmax (r2=0.951), and BH and BMI as the most important dete-rminants of Vmax and T (Vmax:r2 0.564, T:r2=0.348). The present results suggest two important findings: 1) body mass plays crucial role in jumping maximal force and power manifestation; 2) body height and body mass index are the best BIA determinants of jumping velocity and time characteristics.
References
- Aandstad, A., Holtberget, K., Hageberg, R., Holme, I., Anderssen, S. A. (2014). Validity and reliability of bioelectrical impedance analysis and skinfold thickness in predicting body fat in military personnel. Military medicine, vol. 179, no. 2, pp. 208-217, (available at: https://doi.org/10.7205/MILMED-D-12-00545).
- Arakawa, H., Nagano, A., Hay, DC. (2013). The Effects of Ankle Restriction on the multijoint Coordination of Vertical Jumping. Journal of Applied Biomechanics, 29(4):468–473.
- Arsenijević, R. S., Božić, P. R., Matić, M. S., Berjan Bačvarević, B. B., Jakovljević, S. T., & Pažin, N. R. (2023). Analysis of training load and performance in designing smart bodyweight power training: effects of set structure in vertical jumping sessions. Kinesiology, 55(2), 191-200.
- de Andrade Goncalves, EC., Nunes, HEG., Silva, DAS. (2017). Which body fat anthropometric indicators are most strongly associated with maximum oxygen uptake in adolescents? Asian Journal of Sports Medicine, 8(3).
- Dopsaj, M., Zuoziene, I., Milić, R., Cherepov, E., Erlikh, V., Masiulis, N., di Nino, A. & Vodičar, J. (2020). Body Composition in International Sprint Swimmers: Are There Any Relations with Performance? International Journal of Environmental Research and Public Health, 17(24), 9464.
- Dowling, JJ., Vamos, L. (1993). Identification of Kinetic and Temporal Factors Related to Vertical jump Performance. Journal of Applied Biomechanics, 9(2):95-110.
- Gheller, RG., Dal Pupo, J., Lima, L. (2014). Effect of squat depth on performance and biomechanical parameters of countermovement vertical jump. Revista Brasileira de Cineantropometria e Desempenho Humano, 16(6):658.
- Gutiérrez dávila, M., Garrido, JM., Amaro, FJ. (2014). Contribución segmentaria en los saltos con contramovimiento en vertical yen horizontal. Revista Internacional de Ciencias Del Deporte, 38:289–394.
- Hopkins, W.G. (2015). Spreadsheets for analysis of validity and reliability. Sportscience, vol. 19, pp. 36-42, (available at:).
- Legg, L., Rush, L., Rush, J., McCoy, S., Garner, J. & Donahue, P. (2021). Association Between Body Composition and Vertical Jump Performance in Female Collegiate Volleyball Athletes. International Journal of Kinesiology & Sports Science, 9(4):43-48.
- McLester, C. N., Nickerson, B. S., Kliszczewicz, B. M., McLester, J. R. (2020). Reliability and agreement of various InBody body composition analyzers as compared to dual-energy X-ray absorptiometry in healthy men and women. Journal of Clinical Densitometry, vol. 23, no. 3, pp. 443-450, (available at: https://doi.org/10.1016/j.jocd.2018.10.008).
- Methenitis, S., Zaras, N., Spengos, K., Stasinaki, AN., Karampatsos, G., Georgiadis, G. & Terzis, G. (2015). Role of muscle morphology in jumping, sprinting, and throwing performance in participants with different power training duration experience. Journal of Strength and Conditioning Research, 30(3):807–817.
- Moreno, S.D., Brown, L.E., Coburn, J.W., & Judelson, D.A. (2014). Effect of cluster sets on plyometric jump power. Journal of Strength and Conditioning Research, 28(9), 2424-2428.
- Moura, T. & Okazaki, V. (2022). Kinematic and kinetic variable determinants on vertical jump performance: a review. MOJ Sports Medicine, 5(1):25‒33.
- Nunes, M. L., Lima, M. L., & Vasconcelos, F. F. (2019). Evaluation of body composition methods in athletes: A review. Journal of Sports Science & Medicine, 18(3), 622-629.
- Norton, K., Marfell, J.M., Whittingham, N., Kerr, D., Carter, L., Saddington, K., & Gore, C. (2000). Anthropometric assessment protocols. In C.J. Gore (Ed.), Physiological tests for elite athletes (pp. 66-85). Champaign, IL: Human Kinetics.
- Pérez-López, A., Sinovas, MC., Álvarez-Valverde, I. Valades, D. (2015). Relationship between body composition and vertical jump performance in young Spanish soccer players. J Sport Human Perf; 3(3):1-12.
- Santos, H. L. G., Souza, L. D., & Costa, M. J. (2020). Bioelectrical impedance analysis for monitoring body composition in athletes: A systematic review. International Journal of Sport Nutrition and Exercise Metabolism, 30(2), 121-130.

