Resistance training variables for optimization of muscle hypertrophy: an umbrella review
Bernárdez-Vázquez, Roberto, Raya-González, Javier, Castillo, Daniel and Beato, Marco (2022) Resistance training variables for optimization of muscle hypertrophy: an umbrella review. Frontiers in Sports and Active Living, 4 (949021). ISSN 2624-9367
Resistance Training Variables--.pdf - Published Version
Available under License Creative Commons Attribution.
Download (732kB) | Preview
Abstract
This umbrella review aimed to analyze the different variables of resistance training and their effect on hypertrophy, and to provide practical recommendations for the prescription of resistance training programs to maximize hypertrophy responses. A systematic research was conducted through of PubMed/MEDLINE, SPORTDiscus and Web of Science following the preferred reporting items for systematic reviews and meta-analyses statement guidelines. A total of 52 meta-analyses were found, of which 14 met the inclusion criteria. These studies were published between 2009 and 2020 and comprised 178 primary studies corresponding to 4,784 participants. Following a methodological quality analysis, nine meta-analyses were categorized as high quality, presenting values of 81–88%. The remaining meta-analyses were rated as moderate quality, with values between 63–75%. Based on this umbrella review, we can state that at least 10 sets per week per muscle group is optimal, that eccentric contractions seem important, very slow repetitions (≥10 s) should be avoided, and that blood flow restriction might be beneficial for some individuals. In addition, other variables as, exercise order, time of the day and type of periodization appear not to directly influence the magnitude of muscle mass gains. These findings provide valuable information for the design and configuration of the resistance training program with the aim of optimizing muscle hypertrophy.
Item Type: | Article |
---|---|
Uncontrolled Keywords: | sports and active living, muscle mass, cross sectional area, load magnitude, training methods, resistance |
Subjects: | Q Science > QP Physiology |
Divisions: | Faculty of Health & Science > Department of Science & Technology |
SWORD Depositor: | Pub Router |
Depositing User: | Pub Router |
Date Deposited: | 28 Jul 2022 09:12 |
Last Modified: | 28 Jul 2022 09:12 |
URI: | https://oars.uos.ac.uk/id/eprint/2612 |