运动学习模式对力量协调练习技术效率的急性影响:奥林匹克抓举初学者生物力学对比分析。

IF 4.2 2区 医学 Q1 SPORT SCIENCES
Biology of Sport Pub Date : 2025-01-01 Epub Date: 2024-07-31 DOI:10.5114/biolsport.2025.141662
Achraf Ammar, Atef Salem, Marvin Leonard Simak, Fabian Horst, Wolfgang I Schöllhorn
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引用次数: 0

摘要

尽管几十年来发展了各种各样的运动学习模型,但哪种模型在哪种条件下最有效地优化技能获取的问题仍然是一个激烈而反复出现的争论。这在学习具有高强度成分的运动动作时尤为重要。本研究旨在探讨各种运动学习模式对奥运会抓举运动技术效率和力量产生的急性影响。在受试者内设计中,16名高度活跃的男性参与者(平均年龄:23.13±2.09岁)是学习任务的绝对初学者,参与随机抓取学习回合,包括36个不同学习模式的试验:差异学习(DL),上下文干扰(串行,sCI;阻塞(bCI)和重复学习(RL)。运动学和动力学数据是从每次学习后进行的三次抓举试验中收集的。从最常见的监测的奥运会举重生物力学参数离散数据进行分析,使用推理统计识别学习模型之间的差异。统计分析显示,各学习模型在所有测试参数上无显著差异,p值在0.236 ~ 0.99之间。然而,我们观察到,只有遵循DL模型的运动序列的回合才能导致杠铃的平均前后位移与最佳位移相匹配。其特点是,在拉动阶段,向举升器的平均正位移,在翻转阶段,远离举升器的负位移,在捕获阶段,返回到正位移。这些发现表明,基于三种运动学习模型的运动序列对初学者奥运会抓举技术效率的急性影响有限,但它们暗示DL模型可能有轻微的优势。因此,教练可能会考虑结合DL模型来潜在地提高技术效率,特别是在技能获得的早期阶段。未来的研究,包括更大的运动噪音,更长的学习时间,或更多的总学习试验和会话,对于验证DL模型在举重技术效率方面的潜在优势至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Acute effects of motor learning models on technical efficiency in strength-coordination exercises: a comparative analysis of Olympic snatch biomechanics in beginners.

Despite the development of various motor learning models over many decades, the question of which model is most effective under which conditions to optimize the acquisition of skills remains a heated and recurring debate. This is particularly important in connection with learning sports movements with a high strength component. This study aims to examine the acute effects of various motor learning models on technical efficiency and force production during the Olympic snatch movement. In a within-subject design, sixteen highly active male participants (mean age: 23.13 ± 2.09 years), who were absolute beginners regarding the learning task, engaged in randomized snatch learning bouts, consisting of 36 trials across different learning models: differential learning (DL), contextual interference (serial, sCI; and blocked, bCI), and repetitive learning (RL). Kinematic and kinetic data were collected from three snatch trials executed following each learning bout. Discrete data from the most commonly monitored biomechanical parameters in Olympic weightlifting were analyzed using inferential statistics to identify differences between learning models. The statistical analysis revealed no significant differences between the learning models across all tested parameters, with p-values ranging from 0.236 to 0.99. However, it was observed that only the bouts with an exercise sequence following the DL model resulted in an average antero-posterior displacement of the barbell that matched the optimal displacement. This was characterized by a mean positive displacement towards the lifter during the pulling phases, a negative displacement away from the lifter in the turnover phase, and a return to positive displacement in the catch phase. These findings indicate the limited acute impact of the exercise sequences based on the three motor learning models on Olympic snatch technical efficiency in beginners, yet they hint at a possible slight advantage for the DL model. Coaches might therefore consider incorporating the DL model to potentially enhance technical efficiency, especially during the early stages of skill acquisition. Future research, involving even bigger amounts of exercise noise, longer learning periods, or a greater number of total learning trials and sessions, is essential to verify the potential advantages of the DL model for weightlifting technical efficiency.

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来源期刊
Biology of Sport
Biology of Sport 生物-运动科学
CiteScore
8.20
自引率
12.50%
发文量
113
审稿时长
>12 weeks
期刊介绍: Biology of Sport is the official journal of the Institute of Sport in Warsaw, Poland, published since 1984. Biology of Sport is an international scientific peer-reviewed journal, published quarterly in both paper and electronic format. The journal publishes articles concerning basic and applied sciences in sport: sports and exercise physiology, sports immunology and medicine, sports genetics, training and testing, pharmacology, as well as in other biological aspects related to sport. Priority is given to inter-disciplinary papers.
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