Eurasian Journal of Sport Science

Eurasian Journal of Sport Science


Aim:the study of the relationship of physical tests with bioimpedance analysis and as a result to obtain quantitative measures of these relationships in the form of pair correlation coefficients in order to search for effective means of developing speed qualities.

Methods:Analysis of morphological and functional parameters was measured by bioimpedance measurement. Evaluation of speed capabilities was determined by the Microgate Reystime 2 device, which ensured the measurement accuracy at the in-depth specialization stage. The processing was carried out by the computer mathematical and statistical program SPSS for parametric and non-parametric correlation, which allows us to determine a scientifically based search for effective means of developing speed abilities. Control exercises were used such as: “10m running”, “30m running”, Shuttle run 5 * 30m, Test “8”.

Results: According to the Pearson-Brava method, a 10-meter run does not correlate with all morphofunctional indicators, except for the body length indicator. According to the Kendel method, the 10-meter run correlates to an average degree with the growth rate (r = 0.556) and with the percentage of total fat and water in the body, to a weak degree, respectively, r = - 0.327 and r = 0.266. According to the Spearman method, a 10-meter run correlates to an average degree with an indicator of body length (r = 0.590) and with percentages of total body fat in the body in the opposite direction and with a type of addition that is lower than an average degree, respectively = = 0.443 and r = 0.285.

Conclusion: A close relationship was found between the metabolic rate and% water (r = 0.92), muscle mass (r = 0.49) and a direct relationship between metabolic rate and muscle mass (r = 0.9). It is necessary in the process of training young football players at the stage of in-depth specialization to pay attention to exercises that contribute to the formation of athleticism.

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1. Sampaio JE, Lago C, Gonçalves B, Maçãs VM, Leite N. Effects of pacing, status and unbalance in time motion variables, heart rate and tactical behaviour when playing 5-a-side football small-sided games. J Sci Med Sport. 2014;17(2):229–33.

2. Haugen T, Seiler S. Physical and Physiological Testing of Soccer Players: Why, What and How should we Measure? Sport Norway Email Rev Martin Buchheit. 2015;19:10–26.

3. Matias CN, Santos DA, Júdice PB, Magalhães JP, Minderico CS, Fields DA, et al. Estimation of total body water and extracellular water with bioimpedance in athletes: A need for athlete-specific prediction models. Clin Nutr [Internet]. 2016 Apr 1 [cited 2020 Mar 29];35(2):468–74. Available from: https://www.sciencedirect.com/science/article/pii/S0261561415000886

4. Martins PC, Moraes MS, Silva DAS. Cell integrity indicators assessed by bioelectrical impedance: A systematic review of studies involving athletes. J Bodyw Mov Ther [Internet]. 2020 Jan 1 [cited 2020 Mar 29];24(1):154–64. Available from: https://www.sciencedirect.com/science/article/pii/S1360859219301913

5. Santos DA, Silva AM, Matias CN, Magalhães JP, Minderico CS, Thomas DM, et al. Utility of novel body indices in predicting fat mass in elite athletes. Nutrition [Internet]. 2015 Jul 1 [cited 2020 Mar 29];31(7–8):948–54. Available from: https://www.sciencedirect.com/science/article/pii/S0899900715000714

6. Koury JC, Ribeiro MA, Massarani FA, Vieira F, Marini E. Fat-free mass in adolescent athletes: Accuracy of bioimpedance equations and identification of new predictive equations. Nutrition [Internet]. 2019 Apr 1 [cited 2020 Mar 29];60:59–65. Available from: https://www.sciencedirect.com/science/article/pii/S0899900718306956

7. Sabia S, Cogranne P, van Hees VT, Bell JA, Elbaz A, Kivimaki M, et al. Physical Activity and Adiposity Markers at Older Ages: Accelerometer Vs Questionnaire Data. J Am Med Dir Assoc [Internet]. 2015 May 1 [cited 2020 Mar 29];16(5):438.e7-438.e13. Available from: https://www.sciencedirect.com/science/article/pii/S1525861015000936

8. Koury JC, de Oliveira-Junior AV, Portugal MRC, de Oliveira K de JF, Donangelo CM. Bioimpedance parameters in adolescent athletes in relation to bone maturity and biochemical zinc indices. J Trace Elem Med Biol [Internet]. 2018 Mar 1 [cited 2020 Mar 29];46:26–31. Available from: https://www.sciencedirect.com/science/article/pii/S0946672X17307216



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