The Effect of Various Training Variables on Developing Muscle Strength in Velocity-based Training: A Systematic Review and Meta-analysis

力量训练 肌肉力量 培训(气象学) 集合(抽象数据类型) 休息(音乐) 计算机科学 荟萃分析 医学 物理医学与康复 物理疗法 物理 内科学 气象学 程序设计语言
作者
Xing Zhang,Hansen Li,Siyuan Feng,Songpeng Su
出处
期刊:International Journal of Sports Medicine [Georg Thieme Verlag KG]
卷期号:44 (12): 857-864 被引量:9
标识
DOI:10.1055/a-2095-8254
摘要

Abstract Velocity-based training is an advanced auto-regulation method that uses objective indices to dynamically regulate training loads. However, it is unclear currently how to maximize muscle strength with appropriate velocity-based training settings. To fill this gap, we conducted a series of dose-response and subgroup meta-analyses to check the effects of training variables/parameters, such as intensity, velocity loss, set, inter-set rest intervals, frequency, period, and program, on muscle strength in velocity-based training. A systematic literature search was performed to identify studies via PubMed, Web of Science, Embase, EBSCO, and Cochrane. One repetition maximum was selected as the outcome to indicate muscle strength. Eventually, twenty-seven studies with 693 trained individuals were included in the analysis. We found that the velocity loss of 15 to 30%, the intensity of 70 to 80%1RM, the set of 3 to 5 per session, the inter-set rest interval of 2 to 4 min, and the period of 7 to 12 weeks could be appropriate settings for developing muscle strength. Three periodical programming models in velocity-based training, including linear programming, undulating programming, and constant programming, were effective for developing muscle strength. Besides, changing periodical programming models around every 9 weeks may help to avoid a training plateau in strength adaption.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
R18686226306发布了新的文献求助10
刚刚
Hello应助王贤平采纳,获得10
1秒前
量子星尘发布了新的文献求助10
2秒前
多多发布了新的文献求助10
3秒前
浮游应助march采纳,获得10
3秒前
3秒前
ttevi发布了新的文献求助10
3秒前
只争朝夕完成签到,获得积分10
3秒前
甜甜戎发布了新的文献求助10
3秒前
4秒前
爆米花应助沚沐采纳,获得10
4秒前
5秒前
可可卡比兽完成签到 ,获得积分10
5秒前
5秒前
饭饭发布了新的文献求助10
5秒前
5秒前
马甲发布了新的文献求助10
6秒前
Tam应助科研通管家采纳,获得50
7秒前
脑洞疼应助科研通管家采纳,获得10
7秒前
7秒前
唐代斯发布了新的文献求助10
7秒前
爆米花应助科研通管家采纳,获得10
7秒前
科研通AI6应助科研通管家采纳,获得10
7秒前
浮游应助科研通管家采纳,获得10
8秒前
8秒前
酷波er应助科研通管家采纳,获得10
8秒前
科研通AI6应助科研通管家采纳,获得10
8秒前
科研通AI6应助科研通管家采纳,获得10
9秒前
深情安青应助科研通管家采纳,获得10
9秒前
羊青发布了新的文献求助10
9秒前
9秒前
元神发布了新的文献求助10
9秒前
浮游应助科研通管家采纳,获得10
9秒前
liao应助科研通管家采纳,获得10
9秒前
科研通AI6应助科研通管家采纳,获得10
9秒前
科研通AI6应助科研通管家采纳,获得10
10秒前
浮游应助科研通管家采纳,获得10
10秒前
Akim应助科研通管家采纳,获得10
10秒前
CodeCraft应助科研通管家采纳,获得10
10秒前
无花果应助科研通管家采纳,获得10
10秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
2025-2031全球及中国金刚石触媒粉行业研究及十五五规划分析报告 9000
Encyclopedia of the Human Brain Second Edition 8000
The Cambridge History of China: Volume 4, Sui and T'ang China, 589–906 AD, Part Two 1000
The Composition and Relative Chronology of Dynasties 16 and 17 in Egypt 1000
Translanguaging in Action in English-Medium Classrooms: A Resource Book for Teachers 700
Real World Research, 5th Edition 680
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5684791
求助须知:如何正确求助?哪些是违规求助? 5038954
关于积分的说明 15185395
捐赠科研通 4843938
什么是DOI,文献DOI怎么找? 2597034
邀请新用户注册赠送积分活动 1549618
关于科研通互助平台的介绍 1508109