Introduction: The training should be performed according to the characteristics of basketball by establishing a scientific evaluation index system to fully exploit the potential of its players. Objective: Evaluate the index system for measuring physical training specific to basketball players. Methods: The physical training evaluation indexes of athletes were studied by checking the scientific literature and mathematical statistics, and an evaluation index for the physical training of young basketball players was designed and experimented. Results: The highest proportion of the special fitness score in athletic average was 46.25%; the proportion of the players’ general fitness score represented 15% above and 13.75% below. The specific fitness level of basketball players is mainly at the average level. Conclusion: The effects of training can be effectively evaluated by the experienced index system, and it is useful for athletes to find deficiencies, make full use of their potential, improve skills and adapt basketball tactics. It may also provide more reserve talent for professional basketball. Level of evidence II; Therapeutic studies - investigation of treatment outcomes.
This study conducted a questionnaire survey on the physical condition of high school students based on FIT. The correlation between sedentary behavior, exercise level and physical fitness was studied. In this paper, the fuzzy C-average clustering method of the BP neural network is used to make statistics and classification of students’ physical condition. This paper collates the biological quality data of college students. Then this paper makes a comprehensive classification, classification and quantitative assessment of the data. The study found that college students’ sedentary habits varied from individual and family backgrounds. Family factors influence students’ physical exercise. Physical exercise was positively correlated with sedentary behavior and body mass index in adolescents. The accuracy of clustering combined with the BP neural network can reach 94%.
Introduction: Overtraining in football is caused by an imbalance between body load, stress, and recovery. High-volume non-scientific physical training and continuous high-intensity football matches are often the main reasons for the overtraining of athletes. Objective: This article explores the characteristics of the changes in physical function of football players during a complete training cycle. Methods: We use experimental methods to analyze the changes in the physical load characteristics of football players during high-intensity training. Results: Creatine kinase, urea nitrogen, and oxygen transport indicators did not change significantly during football training. Testosterone and cortisol will gradually increase with an increase of exercise load. Conclusion: In football training, we need to reasonably arrange the total exercise volume, exercise intensity, and exercise interval time of the athletes according to the trainer’s physical adaptability and athletic ability, supplemented with nutrition and enthusiasm recovery measures. These methods can improve or enhance the physical function of football players. Level of evidence II; Therapeutic studies - investigation of treatment results.
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