Vol. 9 | No. 19-20, 2022


THE IMPACT OF PHYSICAL FITNES PARAMETERS UPON THE SUCCESS OF SPRINT RUNNING ON 30, 80 AND 100 METERS AMONG STUDENTS AGED 14

Astrit Iseni, Muamer Abdullai

Abstract

This paper investigates the impact of physical fitness parameters on the success of sprint running on 30, 80, and 100 meters. This paper aims to determine the relationship between physical fitness parameters as a predictive system upon running on 30, 80, and 100 meters as a criteria system. The research was conducted with 80 males of 14 years ± 6 months, in the primary school "Naim Frasheri" - Kumanovo. The research used a total of 16 variables, of which 13 variables in assessing the physical fitness parameters and 3 variables in assessing the specific - motor abilities. The variables for the assessment of physical fitness parameters are: 1. Leg tapping (LT), 2. Hand tapping (HT), 3. Leg tapping in the wall (LTW), 4. Abdominal muscle for 30’’ (AM30’’), 5. Raising the trunk for 30’’ of Swedish box (RTSB30), 6. Squats (SQU), 7. Push-ups (PU), 8. Seat and reach (SR), 9. Splits (SP), 10. Sliding with a stick (SS), 11. Eigth with bending (EB), 12. 10X5 shuttle run (10X5Sh), 13. T-test agility (TTA), while the variables for the assessment of the specific - motor abilities are: 14. Running 30 meters (RU30m), 15. Running 80 meters (RU80) and Running 100 meters (RU100m). Based on the results of the regression analysis, predictor variables are taken as thirteen variables to assess the physical fitness parameters, while criteria are taken as three variables for the assessment of specific motor compartment, and the following can be concluded: physical fitness parameters used as predictor variables in this paper, have a statistically significant impact upon the criteria variables for running 30 meters (RU30m), running 80 meters (RU80m) and running 100 meters (RU100m). The variables of physical fitness (as a predictor system), have a significant statistical impact upon all three criteria variables RU30m, RU80m, and RU100m, with a significance level Q=0.000. Of all the predictor variables tested in this paper, statistically significant influence on the dependent variable running 30 meters (RU30m), running 80 meters (RU80m), and Running 100 meters (RU100m), there are four predictor variables as well: Eigth with bending (EB), Foot tapping in the wall (FTW), Hand taping (HT) and Raising the trunk for 30’’ of Swedish box (RTSB30). What we can conclude is that men of this age who possess a segmental speed of the lower and upper extremities, agility, and repetitive strength in the muscles of the back have better results in sprint runs.

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