Speed and agility as predictors of long jump performance of male athletes

Year 2016, Volume: 18 Issue: 2, 27 - 33, 31.08.2016

Mukesh Kumar Mıshra , Vishan Singh Rathore

Abstract

The main
purpose of this study was to predict the long jump performance on the basis of
speed, agility, height and weight of male athletes. 46 male athletes were
participated in present study (mean ± SD; 22.28 ±
1.3770 years). The selected athletes were
measured of their speed by 50m dash sprint test (sec.), agility measured by 4 x
10m shuttle run test (sec.) and long jump performance measured by long jump
(meter). Pearson product-moment correlations revealed a significant negative
correlation of Long Jump performance with speed (r = - 0.813, p < 0.05),
Agility (r = - 0.702, p < 0.05) and weight (r = - 0.343, p < 0.05).
Multiple correlations revealed that joint contribution of all independent
variables to estimating Long Jump performance (R = .847,
R²=.717), which impales that 71.7% of Long Jump Performance is
obtained by these variables (Weight, Height, Agility and Speed). The regression
analysis (enter method) outcomes proved that long jump performance can be determined
by selected independent variables (F=25.933,
p<0.05). Based on the result of present study suitable formula was
determined [Long Jump performance = 5.356 -.283 (Speed) -.102 (Agility) + .021
(Height) -.019 (Weight)]. It was concluded that the formula suggested in
this study, can be used to determine the long jump performance of male
athletes.

Keywords

Long jump performance, speed, agility, height, weight

References

• Alemdaroglu U. The relationship between muscle strength, anaerobic performance, agility, sprint ability and vertical jump performance in professional basketball players. J Hum Kin, 2012; 31: 99-106.
• Barr MJ, Nolte VW. Which measure of drop jump performance best predicts sprinting speed? J Strength Cond Res, 2011; 25: 1976–1982.
• Brechue, WF, Mayhew JL, Piper FC. Characteristics of sprint performance in college football players. Journal of Strength and Conditioning Research, 2010; 24(5): 1169- 1178.
• Chaouachi A, Brughelli M, Chamari K, Levin GT, Ben Abdelkrim N, Laurencelle L, Castagna, C. Lower limb maximal dynamic strength and agility determinants in elite basketball players. J Strength Cond Res, 2009; 23: 1570–1577.
• Cronin JB, Hansen KT. Strength and power predictors of sports speed. Journal of Strength and Conditioning Research, 2005; 19(2): 349-357.
• Davis K, Rossi S, Langdon J, McMillan J. The relationship between jumping and sprinting performance in Collegiate Ultimate Athletes. Journal of Coaching Education, 2012; 5(2): 24-92.
• Goran S, et. al. The effect of agility training on athletic power performance. Kinesiology, 2010; 42(1): 65-72.
• Harold M, Barrow McGee R. A Practical Approach to Measurement in Physical Education, Philadelphia: Lea and Febiger, 1971: 123.
• Hubbard, M., The flight of sports projectiles, In V. M. Zatsiorsky (Ed.), Biomechanics in sport. Oxford: Blackwell Science, 2001: 381-400.
• Koklu Y, Alemdaroglu U, Ozkan A, Koz M, Ersoz G. The relationship between sprint ability, agility and vertical jump performance in young soccer players. Sci Sport, 2015; 30: e1-e5.
• Linthorne NP, Guzman MS, anBridgett LA. Optimum take-off angle in the long jump, Journal of Sports Sciences, 2005; 23: 703-712, 359-372.
• Linthorne NP. Optimum release angle in the shot put. Journal of Sports Sciences, 2001; 19.
• McCurdy KW, Walker JL, Langford GA,Kutz MR, Guerrero JM, McMillan J. The relationship between kinematic determinants of jump and sprint performance in division I women soccer players. Journal of Strength and Conditioning Research, 2010; 24(12): 3200-3208.
• Meena TR, Choudhary R. Estimation of lean body maas on the basis of vertical jump, weight, vital capacity, in-breath chest circumference, Proceedings of International Conference on Physical Activities and Sports for Global Peace and Development. IGIPESS: New Delhi, 2011: 121-124.
• Meena TR, Mishra MK. Prediction of Gymnastic Performance on the Basis of Selected Physical Fitness Components. Academic Sports Scholar, 2015; 4 (6): 1-7.
• Milanese C, Bortolami O, Bertucco M, Verlato G, Zancanaro C. Anthropometry and Motor fitness in children aged 6-12 years, Jurnal of Human Sporta and Exercise, 2010; l.5(2): 265-279.
• Mishra MK, Choudhary R. Estimation of raider’s performance on the basis of reaction ability in kabaddi. Global excellence in fitness and sports science, twenty century publication: Patiala, 2015; 2: 159-164.
• Mishra MK, Rathore VS. Anthropometric variables as predictors of speed ability of physical education students. International Journal of Physical Education, Sports and Health, 2016; 3(1): 140-144.
• Mishra MK, Rathore VS. Selected Anthropometric Parameters as a Predictors of Volleyball Playing Ability. International Journal of Science and Research, 2015; 4(9): 436-439.
• Mishra MK, Thakur JS. An Estimation of Kho-Kho Performance on the Basis of Selected Physical Fitness Parameters. International Journal of Sports Sciences and Fitness, 2015; 5(2): 235-250.
• Mishra MK. A comparative study of speed ability between high and low achievers male hockey players. Academic Sports Scholar, 2014; 3(9): 1-3.
• Ngetich EDK. Assessment of Physical Fitness Components as Predication factors of Long Jump performance among female undergraduate students of Indira Gandhi Institute of Physical Education and Sports Sciences - Delhi University. Unpublished M.P.Ed Thesis. Delhi University, New Delhi, India, 1998.
• Renwick GR. Play Better Athletics, Delhi: sports Publication, 2001.
• Seiler S, Taylor M, Diana R, Layes J, Newton P, Brown. Assessing anaerobic power in collegiate football players. Journal of Applied Sport Science Research, 1990; 4(1): 9- 15.
• Sharma HO, Subramanian R. Speed and Agility as determinants of Long Jump Performance, Academic Sports Scholar, 2014; 3(9): 49-52.
• Singh MK. Analytic study of coordinative abilities in fundamental skills of basketball players. International journal of physical education, sports and yogic sciences, 2012; 2(1): 44-46.
• Singh VK, Singh R. Physical, Physiological, Psychological and Anthropometric Variables as Predictors for Speed of Sub-Junior Athletes. Academic Sports Scholar, 2014; 3 (8): 1-4.
• Sohi AS. A study of development of speed and agility among 6 – 14 years of boys and girls. Snipes Journal, 1986; 9(3): 16-23.
• Thakur JS, Mishra MK, Rathore VS. Impact of plyometric training and weight training on vertical jumping ability. Turkish Journal of Sports and Exercise, 2016; 18(1): 31-37.
• Veligekas P, Tsoukos A, Bogdanis GC. Determinants of standing long jump performance in 9-12 year old children. Serbian Journal of Sports Sciences, 2012; 6(4): 147-155.
• Verma JP. Sports statistics. Gwalior: Venus Publications, 2000.
• Zapartdis I, Vareltizis I, Gouvali M. Kororos P. Physical fitness and anthropometric characteristics in different levels of young team handball players. The Open Sport Sciences Journal, 2009; 2: 22-28.