Analysis of Physical Fitness and Predicting Performance in short distance runners Athletes: Elite vs Non-Elite Athletes

The purpose of this study was to analyze physical fitness and predict performance in types of field and track athletes to figure out elite and non-elite athletes. 102 athletes in field and track participated in this study voluntarily and the athletes were divided into 3 classes(high, middle and low)based on the national competition record and coaches’poll. All the tests, such as physical volume(height, girth of chest, waist circumstance, wrist circumstance, hip circumstance), body composition(body weight, %body fat, lean body mass, BMI, WHR), physical fitness(sit-up, curl-up, flexibility, grasping power, abdominal strength and VO2max) and also anaerobic variables(mean power, peak power and fatigue) were tested to each players. The result of each variables was expressed with percentile to evaluate physical fitness. And to predict performance level(high, mid or low class), logistic regression analysis was applied. The results were as follows: Based on the results from the 3 classes, there were significant differences in physical fitness. Among the 10 physical fitness, flexibility, VO2max, mean power and peak power in high class were statistically significant than those of mid and low classes. The factors that present the level of class among the physical fitness variables were flexibility and VO2max. The logistic regression model is shown as Y=-0.316 × (flexibility) - 0.230(VO2max) + 16.913. In addition, the anaerobic factors indicating performance level were mean power and peak power. The results indicate that it is necessary further research to provide more scientific evidence not only for recruiting athletes but also for training purposes.