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Review
. 2022 Jan 4;10(1):8.
doi: 10.3390/sports10010008.

Velocity-Based Resistance Training on 1-RM, Jump and Sprint Performance: A Systematic Review of Clinical Trials

Mateo Baena-Marín  1   2 , Andrés Rojas-Jaramillo  3 , Jhonatan González-Santamaría  1   2 , David Rodríguez-Rosell  4   5   6 , Jorge L Petro  7   8 , Richard B Kreider  9 , Diego A Bonilla  7   8   10
Affiliations
Review

Velocity-Based Resistance Training on 1-RM, Jump and Sprint Performance: A Systematic Review of Clinical Trials

Mateo Baena-Marín et al. Sports (Basel). .

Abstract

Weight resistance training (RT) has been shown to positively influence physical performance. Within the last two decades, a methodology based on monitoring RT through movement velocity (also called velocity-based resistance training, VBRT) has emerged. The aim of this PRISMA-based systematic review was to evaluate the effect of VBRT programs on variables related to muscle strength (one-repetition maximum, 1-RM), and high-speed actions (vertical jump, and sprint performance) in trained subjects. The search for published articles was performed in PubMed/MEDLINE, SPORT Discus/EBSCO, OVID, Web of Science, Scopus, and EMBASE databases using Boolean algorithms independently. A total of 22 studies met the inclusion criteria of this systematic review (a low-to-moderate overall risk of bias of the analyzed studies was detected). VBRT is an effective method to improve 1-RM, vertical jump and sprint. According to the results of the analyzed studies, it is not necessary to reach high muscle failure in order to achieve the best training results. These findings reinforce the fact that it is possible to optimize exercise adaptations with less fatigue. Future studies should corroborate these findings in female population.

Keywords: athletes; athletic performance; muscle strength; resistance training; strength training; weight bearing strengthening program.

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Conflict of interest statement

D.A.B. has conducted academic-sponsored research on resistance training, and has received honoraria for selling linear position transducers and speaking about exercise sciences at international conferences/private courses. R.B.K. has conducted industry sponsored studies at the universities he has been affiliated with and occasionally serves as a scientific and legal consultant related to exercise and nutrition intervention studies. The other authors declare no conflicts of interest. All authors are responsible for the content of this article.

Figures

Figure 1
Figure 1
PRISMA flow diagram.
Figure 2
Figure 2
Risk of bias summary for included studies. Weighted bar-chart of the distribution of risk-of-bias judgments. These graphics were obtained using the ‘robvis’ package within the R statistical computing environment.
See this image and copyright information in PMC

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