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LOAD PREDICTABILITY IN RESISTANCE TRAINING

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NIAID Data Ecosystem2026-03-14 收录
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https://figshare.com/articles/dataset/LOAD_PREDICTABILITY_IN_RESISTANCE_TRAINING/21900167
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ABSTRACT Introduction With the continuous development of physical education teaching in colleges, the scientific method became essential for the best activity prescriptions, improving the training of the most diverse activities. However, resistance training in school physical education still lacks a scientific protocol. Objective Scientifically determine the resistance training load of students and predict their sports results. Methods This paper selected 30 student-athletes of athletics as research objects and designed the relevant resistance load training program for each athlete through the resistance load parameter table and the athletes’ sports abilities and needs. At the beginning of week three, week six, and the end of the experiment, the data were measured, compared, and analyzed within the group. Results The scientific resistance load training program can optimize the indexes such as blood lactate, maximal oxygen consumption, and heart rate stabilization during exercise, proving effective despite a certain deviation compared to the predicted value. Conclusion According to the actual situation of athletes and the design of the table of exercise load parameters, it is believed that the determination and implementation of the resistance training program in athletes should receive further investigation, popularizing its use in other modalities. Level of evidence II; Therapeutic studies - investigation of treatment outcomes.
创建时间:
2023-02-01
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