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LOAD PREDICTABILITY IN RESISTANCE TRAINING

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DataCite Commons2023-02-07 更新2024-08-18 收录
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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.

摘要 引言:随着高校体育教学的持续发展,科学方法对于制定最优活动方案、优化各类训练活动的实施至关重要。然而,学校体育中的抗阻训练仍缺乏科学规范的训练方案。研究目的:科学确定学生的抗阻训练负荷,并预测其运动成绩。研究方法:本文选取30名田径学生运动员作为研究对象,通过抗阻负荷参数表结合运动员的运动能力与实际需求,为每位运动员设计针对性的抗阻负荷训练方案。分别于实验第3周初、第6周初及实验结束时采集数据,开展组内比较与分析。研究结果:科学的抗阻训练负荷方案可优化运动过程中的血乳酸、最大摄氧量以及心率稳定性等指标;尽管与预测值存在一定偏差,但该方案仍被证实具有有效性。研究结论:结合运动员实际情况与运动负荷参数表的设计思路,认为运动员抗阻训练方案的制定与实施仍有待进一步研究,并可将其推广至其他运动项目。证据等级:II级;治疗性研究——治疗结局调查。

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SciELO journals
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2023-01-14
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