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力量训练新动向:从生理把控、聚组变异到精细调控 被引量:1

Development Trend of Strength Training:From Physiological Control and Group Variation to Fine Regulation
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摘要 当前,国际范围内关于力量训练方法的研究近年来呈现出快速发展之势,促使现代力量训练方法体系和结构不断革新。预刺激诱导骨骼肌力量表现急性增强,限制血液流动提升训练效益,改变力量训练结构提高单次动作质量以及训练总量,配给最佳负荷实现输出功率最大化,利用动作速度精细化调控力量训练过程等是现代力量训练的热点和突破点。文章系统梳理备战东京奥运会和北京冬奥会期间,引进、推广与应用的力量训练新思路和新方法,从生理把控、聚组变异到精细调控方面,把握现代力量训练发展动向与趋势,以期助力我国奥运健儿备战巴黎奥运会。 The international research on strength training methods has shown a trend of rapid development in recent years,which promotes the continuous innovation of modern strength training methods.Using pre-stimulation to induce acute enhancement of skeletal muscle strength,limiting blood flow,improving training efficiency,changing strength training structure,improving single action quality and total training volume,allocating optimal load to maximize output power and achieve fine regulation of strength training process are the hotspots and breakthrough points of modern strength training.This paper systematically analyzes the new ideas and methods of strength trainingintroduced,popularized and applied during athletes’preparation for the Tokyo Olympic Games and the Beijing Winter Olympic Games to figure out the development trend of modern strength training from physiological control,group variation to fine regulation,hoping to highlight the research hotspots,so as to help Chinese athletes prepare for the Paris Olympic Games.
作者 梁美富 王雄 赵可伟 朱学强 赵宁宁 周瑞航 孙君志 LIANG Meifu;WANG Xiong;ZHAO Kewei;ZHU Xueqiang;ZHAO Ningning;ZHOU Ruihang;SUN Junzhi(Chinese Athletics Association,Beijing 100763;National Sports Training Center,Beijing 100061;China Institute of Sport Sci鄄ence,Beijing 100061;Shandong Sport University,Jinan Shandong 250102;Hebei Institute of Sports Science,Shijiazhuang Hebei 050000;Chengdu Sport University,Chengdu Sichuan 610041)
出处 《成都体育学院学报》 北大核心 2023年第1期88-96,共9页 Journal of Chengdu Sport University
基金 国家体育总局体育科学研究所基本科研业务费资助项目“数字化力量训练与监控平台关键技术研究”(基本22-15) 国家重点研发计划课题“冬季潜优势及落后项目国际化训练平台关键技术研究与示范”(2018YFF0300904)。
关键词 体能 力量训练 最佳功率负荷 聚组训练 physical training strength training optimal power load cluster set
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