The purpose of this research is to provide the information about sports injury by surveying and analyzing a result, and to lead analytic and scientific training among the subjects being elite summer sport athletes. All sports injuries are recorded on injury report form and the following results were obtained. In Cycle sport, the prevalence of injuries of the low back, knees were highest. and In Table tennis sport, the prevalence of injuries of the ankle was highest due to the chronic fatigue. The prevalence of injuries of the shoulder, low back were highest due to the overuse of joints. In Badminton sport, the prevalence of injuries of low back, knees, ankles were highest by overtraining. In Gymnastics, the prevalence of injuries of the low back, knees, ankles were highest. In Archery sport, there is a lot of injuries to the shoulder and neck. In Weight lifting sport, the prevalence of injuries of the low back, knees, and ankles were highest. In Golf sport, the prevalence of injuries of knees, low back were highest. In Hockey sport, the prevalence of injuries of ankles, knees, low back were highest. In Boxing sport, the prevalence of injuries of hands, shoulder, the low back were highest, In Judo sport, there are overall damage occurred in parts of the whole body, but the prevalence of injuries of ankles, knees, low back were highest. In Fencing sport, the prevalence of injuries of the low back, knees were highest. In Wrestling sport, although there is a difference slightly depending on freestyle and Greco-Roman, but the prevalence of injuries of knees, ankles, low back were highest. In Handball sport, the prevalence of injuries of ankles, knees were highest. In Taekwondo, the prevalence of injuries of ankles, knees, feet were highest.
The purpose of this study was to evaluate the physical performance and develop the criteria of 4243 middle and high school students across 5 provinces (Busan, Gwangju, Daejeon, Gyeongi and Jeonbuk) in Korea that took part in the talent development project. The data was collected between 2011 and 2014. The criteria was divided by gender and age across different grades, and the mean, standard deviation and 5 evaluation levels were calculated and analyzed.
