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 [Thieme Medical Publishers (Germany)]
卷期号:44 (12): 857-864 被引量:3
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
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
香蕉觅云应助小米粥采纳,获得10
1秒前
今后应助周小鱼采纳,获得10
1秒前
词不达意发布了新的文献求助10
2秒前
3秒前
科研通AI6应助长情的语风采纳,获得10
3秒前
3秒前
wzxxxx发布了新的文献求助10
3秒前
赘婿应助dalin采纳,获得10
4秒前
科目三应助康轲采纳,获得10
4秒前
呆萌冰绿完成签到,获得积分10
5秒前
5秒前
慕青应助安123采纳,获得10
5秒前
5秒前
唐俊杰发布了新的文献求助10
8秒前
二马三乡发布了新的文献求助10
8秒前
9秒前
炙热的念柏应助xzy998采纳,获得30
10秒前
Tiny完成签到 ,获得积分10
10秒前
10秒前
11秒前
乐乐应助取个名儿吧采纳,获得10
11秒前
哎呦魏发布了新的文献求助10
12秒前
12秒前
13秒前
14秒前
打打应助mahliya采纳,获得10
14秒前
词不达意完成签到,获得积分10
15秒前
科研通AI5应助wzxxxx采纳,获得10
16秒前
16秒前
郭一只发布了新的文献求助30
16秒前
宿雨发布了新的文献求助10
17秒前
纯真的夏柳完成签到,获得积分10
18秒前
18秒前
浮游应助xzy998采纳,获得30
18秒前
20秒前
欢喜怀绿发布了新的文献求助10
20秒前
20秒前
搜集达人应助幽默的老师采纳,获得10
21秒前
22秒前
22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
Zeolites: From Fundamentals to Emerging Applications 1500
Architectural Corrosion and Critical Infrastructure 1000
Early Devonian echinoderms from Victoria (Rhombifera, Blastoidea and Ophiocistioidea) 1000
Hidden Generalizations Phonological Opacity in Optimality Theory 1000
2026国自然单细胞多组学大红书申报宝典 800
Research Handbook on Corporate Governance in China 800
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 内科学 生物化学 物理 计算机科学 纳米技术 遗传学 基因 复合材料 化学工程 物理化学 病理 催化作用 免疫学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 4908059
求助须知:如何正确求助?哪些是违规求助? 4184839
关于积分的说明 12995484
捐赠科研通 3951356
什么是DOI,文献DOI怎么找? 2166932
邀请新用户注册赠送积分活动 1185461
关于科研通互助平台的介绍 1091987