Held Steffen, Speer Kevin, Rappelt Ludwig, Wicker Pamela, Donath Lars
Department of Intervention Research in Exercise Training, German Sport University Cologne, Cologne, Germany.
Department of Sports Science, Bielefeld University, Bielefeld, Germany.
Front Physiol. 2022 Aug 10;13:926972. doi: 10.3389/fphys.2022.926972. eCollection 2022.
This network meta-analysis aimed at evaluating the effectiveness of different velocity-based (VBT) and traditional 1RM-based resistance training (TRT) interventions on strength and power indices in healthy participants. The research was conducted until December 2021 using the online electronic databases PubMed, Web of Science, PsycNet, and SPORTDiscus for studies with the following inclusion criteria: 1) controlled VBT trials, 2) strength and/or jump and/or sprint parameters as outcomes (c), participants aged between 18 and 40 years, and 4) peer-reviewed and published in English. Standardized mean differences (SMD) using a random effects models were calculated. Fourteen studies with 311 healthy participants were selected and 3 networks (strength, jump, and sprint) were achieved. VBT, TRT, repetitions in reserve (RIR), low velocity loss (lowVL), and high velocity loss (highVL) were ranked for each network. Based on P-score rankings, lowVL (P-score ≥ 0.59; SMD ≥ 0.33) and highVL (P-score ≥ 0.50; SMD ≥ 0.12) revealed favorable effects on strength, jump, and sprint performance compared to VBT (P-score ≤ 0.47; SMD ≤0.01), TRT (P-score ≤0.46; SMD ≤ 0.00), and RIR (P-score ≤ 0.46; SMD ≤ 0.12). In conclusion, lowVL and highVL showed notable effects on strength, jump, and sprint performance. In particular for jump performance, lowVL induced favorable improvements compared to all other resistance training approaches.
这项网状荟萃分析旨在评估不同的基于速度的训练（VBT）和传统的基于1RM的阻力训练（TRT）干预措施对健康参与者力量和功率指标的有效性。该研究持续至2021年12月，使用在线电子数据库PubMed、科学网、PsycNet和SPORTDiscus搜索符合以下纳入标准的研究：1）对照VBT试验；2）以力量和/或跳跃和/或冲刺参数作为结果（c）；3）参与者年龄在18至40岁之间；4）经过同行评审并以英文发表。采用随机效应模型计算标准化均数差（SMD）。共纳入14项研究，涉及311名健康参与者，并形成了3个网络（力量、跳跃和冲刺）。对每个网络中的VBT、TRT、剩余重复次数（RIR）、低速损失（lowVL）和高速损失（highVL）进行了排名。根据P值排名，与VBT（P值≤0.47；SMD≤0.01）、TRT（P值≤0.46；SMD≤0.00）和RIR（P值≤0.46；SMD≤0.12）相比，lowVL（P值≥0.59；SMD≥0.33）和highVL（P值≥0.50；SMD≥0.12）对力量、跳跃和冲刺表现显示出有利影响。总之，lowVL和highVL对力量、跳跃和冲刺表现有显著影响。特别是对于跳跃表现，与所有其他阻力训练方法相比，lowVL带来了有利的改善。
