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VOL. 3, ISSUE 2 (2018)
The study of relationship and factors to predict selected anthropometric variables of male and female jumpers
Authors
Abdu Mohammed Asfaw, Dr. Pallavi A
Abstract
This study was aimed at the relationship and predictions of some selected anthropometric measurements as compared with Ethiopian male and female high and long jumpers. The sample of the study was total 30 female high and long jumper athletes, who participated in Ethiopian first division clubs. The stratified sampling technique was employed to select the athletes. The age of athletes was between 17-26 years. The selected anthropometric variables taken for the study (Height, weight, BMI, lean body weight, weight height ratio, lower leg length, waist, thigh, hip and calf circumference). The data were analyzed using SPSS 20.0 version. The result of Pearson product moment correlation coefficient showed the relation between anthropometric variables and jumping performance while regression revealed to identify predictor factors. These study findings elucidated that there were existed statistically positive significant relationships between athletic performance and body height for both sexes high and long jumper athletes. The study also demonstrated that athletic performance was negatively strong correlated to body weight in both sexes. Thus, it is important parameter to help to identify successful athletes positively for some types of sports. While as compared to body mass index and lean body weight with athletic performance was found highly negative significant relationship for both sexes in high and long jumper athletes. There were strong negative correlation existed between waist and hip circumference for both male and female athletes while positive relation observed between lower leg length and athletic performance in both sexes among high and long jumpers. Hence, the long and high jump performance predicted by some anthropometric measurement variables while showing significant related to its performance of height, lean body weight and lower leg length.
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Pages:144-149
How to cite this article:
Abdu Mohammed Asfaw, Dr. Pallavi A "The study of relationship and factors to predict selected anthropometric variables of male and female jumpers". International Journal of Academic Research and Development, Vol 3, Issue 2, 2018, Pages 144-149
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