Kineziologija, Vol. 46. No. 1., 2014.
Izvorni znanstveni članak
Prediction of jumping distance using a short approach model
; Eszterházy Károly College, Faculty of Natural Sciences, Institute of Physical Education and Sport Sciences, Eger, Hungary
Zsolt Csende ; Semmelweis University, Faculty of Physical Education and Sport Science, Budapest, Hungary
Adrian Lees ; Research Institute for Sport and Exercise Sciences, Liverpool John Moores University, Liverpool, UK
József Tihanyi ; Semmelweis University, Faculty of Physical Education and Sport Science, Budapest, Hungary
Puni tekst: engleski pdf 1.069 Kb
APA 6th Edition
Béres, S., Csende, Z., Lees, A. i Tihanyi, J. (2014). Prediction of jumping distance using a short approach model. Kinesiology, 46. (1.), 88-96. Preuzeto s https://hrcak.srce.hr/123729
MLA 8th Edition
Béres, Sándor, et al. "Prediction of jumping distance using a short approach model." Kinesiology, vol. 46., br. 1., 2014, str. 88-96. https://hrcak.srce.hr/123729. Citirano 03.06.2023.
Chicago 17th Edition
Béres, Sándor, Zsolt Csende, Adrian Lees i József Tihanyi. "Prediction of jumping distance using a short approach model." Kinesiology 46., br. 1. (2014): 88-96. https://hrcak.srce.hr/123729
Béres, S., et al. (2014). 'Prediction of jumping distance using a short approach model', Kinesiology, 46.(1.), str. 88-96. Preuzeto s: https://hrcak.srce.hr/123729 (Datum pristupa: 03.06.2023.)
Béres S, Csende Z, Lees A, Tihanyi J. Prediction of jumping distance using a short approach model. Kinesiology [Internet]. 2014 [pristupljeno 03.06.2023.];46.(1.):88-96. Dostupno na: https://hrcak.srce.hr/123729
S. Béres, Z. Csende, A. Lees i J. Tihanyi, "Prediction of jumping distance using a short approach model", Kinesiology, vol.46., br. 1., str. 88-96, 2014. [Online]. Dostupno na: https://hrcak.srce.hr/123729. [Citirano: 03.06.2023.]
Recent evidence has suggested that relationship between approach speed and distance jumped may not be linear. The aims of this study were (1) to test the hypothesis that using a short approach (6-8-10-12 strides) of increasing length, performance variables will be non-linearly related to distance jumped, (2) to investigate the nature of these relationships for a group of long jumpers and individuals within the group, and (3) to use the regression analysis to determine the optimum number of run-up strides and predict the jumping distance that would be achieved with an optimum length run-up for an individual jumper. Eight male long jumpers with different skill levels (body mass: 75.22±.2 kg and body height: 188.0±4.2 cm) performed a series of short-approach maximal jumps and the full-length approach in a competition. Kinematic data were collected from video analysis. The relationship between the number of approach strides and velocity, and distance jumped were shown to be best represented by second order polynomial equations. When applied on an individual basis, the predicted jump distances (6.95±.61m) agreed very well with those found in actual competition (6.96±.58m). As a result, these individual relationships were used to comment on individual optimal approach lengths and to evaluate an individual’s potential for performance in the long jump event. It was concluded that the short approach model of performance is a valuable paradigm for investigating long jump behaviour and the performance potential of individuals. The findings also supported the simplified mathematical model proposed in the literature for the study of long jump performance.
run-up and take-off velocity, regression analysis, prediction
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