Comparison of the effects of velocity-based vs. traditional resistance training methods on adaptations in strength, power, and sprint speed: A systematic review, meta-analysis, and quality of evidence appraisal

冲刺 荟萃分析 医学 力量训练 物理疗法 阻力训练 置信区间 随机效应模型 随机对照试验 物理医学与康复 统计 数学 外科 内科学
作者
Samuel T. Orange,Adam Hritz,Liam T. Pearson,Owen Jeffries,Thomas W. Jones,James Steele
出处
期刊:Journal of Sports Sciences [Taylor & Francis]
卷期号:40 (11): 1220-1234 被引量:15
标识
DOI:10.1080/02640414.2022.2059320
摘要

We estimated the effectiveness of using velocity feedback to regulate resistance training load on changes in muscle strength, power, and linear sprint speed in apparently healthy participants. Academic and grey literature databases were systematically searched to identify randomised trials that compared a velocity-based training intervention to a 'traditional' resistance training intervention that did not use velocity feedback. Standardised mean differences (SMDs) were pooled using a random effects model. Risk of bias was assessed with the Risk of Bias 2 tool and the quality of evidence was evaluated using the GRADE approach. Four trials met the eligibility criteria, comprising 27 effect estimates and 88 participants. The main analyses showed trivial differences and imprecise interval estimates for effects on muscle strength (SMD 0.06, 95% CI −0.51–0.63; I2 = 42.9%; 10 effects from 4 studies; low-quality evidence), power (SMD 0.11, 95% CI −0.28–0.49; I2 = 13.5%; 10 effects from 3 studies; low-quality evidence), and sprint speed (SMD −0.10, 95% CI −0.72–0.53; I2 = 30.0%; 7 effects from 2 studies; very low-quality evidence). The results were robust to various sensitivity analyses. In conclusion, there is currently no evidence that VBT and traditional resistance training methods lead to different alterations in muscle strength, power, or linear sprint speed.

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
yanmu2010完成签到,获得积分10
刚刚
小小完成签到,获得积分10
3秒前
大俊哥完成签到,获得积分10
4秒前
不知完成签到 ,获得积分10
4秒前
sy193625发布了新的文献求助10
5秒前
佳宝完成签到,获得积分10
5秒前
樊笼客完成签到,获得积分10
6秒前
现代宝宝完成签到,获得积分10
6秒前
张平一完成签到 ,获得积分10
7秒前
foceman完成签到,获得积分10
7秒前
想上985完成签到,获得积分10
7秒前
爱看文献的小恐龙完成签到,获得积分10
8秒前
阿苏完成签到,获得积分10
8秒前
yym996完成签到 ,获得积分10
9秒前
11秒前
gaoxiansheng完成签到,获得积分10
12秒前
12秒前
和谐的醉山完成签到,获得积分0
14秒前
nnn完成签到,获得积分10
15秒前
正直的雨双完成签到,获得积分10
16秒前
chengche发布了新的文献求助10
16秒前
11111111发布了新的文献求助10
16秒前
tt完成签到,获得积分10
17秒前
17秒前
grace完成签到 ,获得积分10
19秒前
傻傻的飞丹完成签到 ,获得积分10
19秒前
laochen完成签到 ,获得积分10
20秒前
chassie完成签到,获得积分10
20秒前
呆萌的忆山完成签到,获得积分10
20秒前
怡然以南完成签到 ,获得积分10
21秒前
明亮傲芙完成签到 ,获得积分10
21秒前
刘泽文完成签到,获得积分10
21秒前
canghong完成签到,获得积分10
22秒前
科研通AI2S应助活力书包采纳,获得10
23秒前
23秒前
lily完成签到 ,获得积分10
24秒前
qwa发布了新的文献求助10
24秒前
jayliu完成签到,获得积分10
25秒前
亭子完成签到 ,获得积分10
26秒前
苦哈哈完成签到,获得积分0
26秒前
高分求助中
Overcoming Stigma and Bias in Obesity Management 800
Malcolm Fraser : a biography 700
Signals, Systems, and Signal Processing 610
Bounds for Statistical Estimation in Semiparametric Models 500
Climate change and sports: Statistics report on climate change and sports 500
Forced degradation and stability indicating LC method for Letrozole: A stress testing guide 500
Ideology and Meaning-Making under the Putin Regime 450
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6474043
求助须知:如何正确求助?哪些是违规求助? 8276949
关于积分的说明 17647516
捐赠科研通 5554561
什么是DOI,文献DOI怎么找? 2909870
邀请新用户注册赠送积分活动 1886625
关于科研通互助平台的介绍 1739115