Abstract
Purpose. Sports results in powerlifting have been extensively studied, but there is no analysis of the diagnostic sources of criteria for selecting 19–20-year-old athletes. Therefore, it is important to continue the study of factors affecting performance in power-lifting, not only in individual events, but also in the entire discipline. There were two research objectives in the study: firstly, to identify a set of independent (predictor) variables contributing to sports results (outcome variable) in powerlifting using the least numbers of those variables, and secondly, to develop a biometric regression model describing the sports result.
Methods. The study group (n = 30) comprised juniors (aged 19.4 ± 0.7) training powerlifting. The following methods of collecting information were used: observation, survey, and analytical methods of diagnostics: analysis of multiple regression functions, and selection of optimal variables with the use of Hellwig’s algorithm.
Results. The optimal set of variables predicting sports results in junior powerlifting consists of nine features. The integral capacity of the selected information sources reached the value of 0.891.
Conclusions. It was confirmed that body composition, special physical fitness, and the technique of movement would constitute the optimum combination of explanatory variables of the model. These characteristics have the highest value as diagnostic and selection criteria and should not be overlooked.
References
1. Israetel M.A., McBride J.M., Nuzzo J.L., Skinner J.W., Dayne A.M., Kinetic and kinematic differences between squats performed with and without elastic bands. J Strength Cond Res, 2010, 24 (1), 190–194, doi: 10.1519/JSC.0b013e31819b7995.
2. Keogh J., Hume P., Mellow P., Pearson S., The use of anthropometric variables to predict bench press and squat strength in well-trained strength athletes. In: Wang Q. (ed.), Proceedings of 23rd International Symposium on Biomechanics in Sports. Beijing 2005, 126–129. Available from: https://ojs.ub.uni-konstanz.de/cpa/article/view/841/770.
3. Kokkonen J., Nelson A.G., Eldredge C., Winchester J.B., Chronic static stretching improves exercise performance. Med Sci Sports Exerc, 2007, 39 (10), 1825–1831, doi: 10.1249/mss.0b013e3181238a2b.
4. Luo J., Clarke M., McNamara B., Moran K., Influence of resistance load on neuromuscular response to vibration training. J Strength Cond Res, 2009, 23 (2), 420–426, doi: 10.1519/JSC.0b013e318194241c.
5. Swinton P.A., Stewart A.D., Keogh J.W., Agouris L., Lloyd R., Kinematic and kinetic analysis of maximal velocity deadlifts performed with and without the inclusion of chain resistance. J Strength Cond Res, 2011, 25 (11), 3163–3174, doi: 10.1519/JSC.0b013e318212e389.
6. Norwood J.T., Anderson G.S., Gaetz M.B., Twist P.W., Electromyographic activity of the trunk stabilizers during stable and unstable bench press. J Strength Cond Res, 2007, 21 (2), 343–347, doi: 10.1519/R-17435.1.
7. Mayhew J.L., Ball T.E., Ward T.E., Hart C.L., Arnold M.D., Relationships of structural dimensions to bench press strength in college males. J Sports Med Phys Fitness, 1991, 31 (2), 135–141.
8. Mayhew J.L., McCormick T.P., Piper F.C., Kurth A.L., Arnold M.D., Relationships of body dimensions to strength performance in novice adolescent male powerlifters. Pediatr Exerc Sci, 1993, 5 (4), 347–356, doi: 10.1123/pes.5.4.347.
9. Ryguła I., The research process in sports sciences [in Polish]. AWF, Katowice 2003.
10. Greń J., Mathematical statistics. Models and tasks [in Polish]. PWN, Warsaw 1976.
11. Fry A.C., Ciroslan D., Fry M.D., LeRoux C.D., Schilling B.K., Chiu L.Z., Anthropometric and performance variables discriminating elite American junior men weightlifters. J Strength Cond Res, 2006, 20 (4), 861–866, doi: 10.1519/R-18355.1.
12. Ye X., Loenneke J.P., Fahs C.A., Rossow L.M., Thiebaud R.S., Kim D., et al., Relationship between lifting performance and skeletal muscle mass in elite powerlifters. J Sports Med Phys Fitness, 2013, 53 (4), 409–414.
13. Vanderburgh P.M., Batterham A.M., Validation of the Wilks powerlifting formula. Med Sci Sports Exerc, 1999, 31 (12), 1869–1875.
14. Council of Europe, Committee for the Development of Sport, Eurofit: Handbook for the Eurofit test of physical fitness. Council of Europe, Rome 1988.
15. Zawadzki B., Strelau J., Szczepaniak P., Śliwińska M., NEO-FFI. The Personality Inventory by Paul T. Costa Jr. and Robert R. McCrae. The Polish adaptation [in Polish]. PTP, Warsaw 1998.
16. Costa P.T. Jr., McCrae R.R., Revised NEO Personality Inventory (NEO-PI-R) and NEO Five-Factor Inventory (NEO-FFI) manual. Psychological Assessment Resources, Odessa, FL 1992.
17. Drozdowski Z., Anthropometry in physical education [in Polish]. AWF, Poznań 1998.
18. Shephard R.J., Body composition in biological anthropology. Cambridge University Press, London 1991.
19. Ellis K.J., Human body composition: in vivo methods. Physiol Rev, 2000, 80 (2), 649–680.
20. Mirwald R.L,, Baxter-Jones A.D., Bailey D.A., Beunen G.P., An assessment of maturity from anthropometric measurements. Med Sci Sports Exerc, 2002, 34 (4), 689–694, doi: 10.1097/00005768-200204000-00020.
21. McArdle W.D., Katch F.I., Pechar G.S., Jacobson L., Ruck S., Reliability and interrelationships between maximal oxygen intake, physical working capacity and step-test scores in college women. Med Sci Sports, 1972, 4 (4), 182–186.
22. Drabik J., Assessment of special fitness level [in Polish]. In: Drabik J., Resiak M., Prętkiewicz-Abacjew E. (eds.), A six-year-old child of Gdańsk in the years of 1995–2004. An anthropometric draft: trends and standards [in Polish]. AWF, Gdańsk 2007, 14–16.
23. Mayhew J.L., Bird M., Cole M.L., Koch A.J., Jacques J.A., Ware J.S., et al., Comparison of the backward overhead medicine ball throw to power production in college football players. J Strength Cond Res, 2005, 19 (3), 514–518, doi: 10.1519/15644.1.
24. Salonia M.A., Chu D.A., Cheifetz P.M., Freidhoff G.C., Upper-body power as measured by medicine ball throw distance and its relationship to class level among 10- and 11-year-old female participants in club gymnastics. J Strength Cond Res, 2004, 18 (4), 695–702, doi: 10.1519/13653.1.
25. Bolach E., Jacewicz K., Modified Wingate test for estimation of exercise capacity of Polish disabled weight-lifters. Physiotherapy, 2008, 16 (3), 57–68, doi: 10.2478/v10109009-0029-4.
26. Forbes S.C., Candow D.G., Little J.P., Magnus C., Chilibeck P.D., Effect of Red Bull energy drink on repeated Wingate cycle performance and bench-press muscle endurance. Int J Sport Nutr Exerc Metab, 2007, 17 (5), 433–444, doi: 10.1123/ijsnem.17.5.433.
27. Klocek T., Spieszny M., Szczepanik M., Computer tests of coordination abilities [in Polish]. COS, Warsaw 2002.
28. Woźniak-Kozak E., Laurentowska M., Tokłowicz B., Selected functional tests determining cardiovascular capacity [in Polish]. In: Rożynek-Łukanowska W. (ed.), Selected exercises in the physiology of physical effort and sport [in Polish]. AWF, Poznań 1986, 81–131.
29. Klonowicz S., Physiological research methods in an industrial plant [in Polish]. PZWL, Warsaw 1970.
30. Hellwig Z., The problem of the optimal choice of predictors [in Polish]. Przegląd Statystyczny, 1969, 3–4, 221–238.
31. Maszczyk A., Zając A., Ryguła I., A neural network model approach to athlete selection. Sports Eng, 2011, 13 (2), 83–93, doi: 10.1007/s12283-010-0055-y.
32. Ryguła I., Tools of the system analysis in sports training [in Polish]. AWF, Katowice 2000.
33. Hart C.L., Ward T.E., Mayhew J.L., Anthropometric correlates of bench press performance following resistance training. Sports Med Train Rehab, 1991, 2 (2), 89–95, doi: 10.1080/15438629109511904.
34. Mayhew J.L., Piper F.C., Ware J.S., Anthropometric correlates with strength performance among resistance trained athletes. J Sports Med Phys Fitness, 1993, 33 (2), 159–165.
35. Bilsborough J.C., Greenway K.G., Opar D.A., Livingstone S.G., Cordy J.T., Bird S.R., et al., Comparison of anthropometry, upper-body strength, and lower-body power characteristics in different levels of Australian football players. J Strength Cond Res, 2015, 29 (3), 826–834, doi: 10.1519/JSC.0000000000000682.
