Which Reps are the Most Efficient for Strength? | Ep. 53
Mar 27, 2023
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The podcast discusses the relationship between velocity loss and strength gains, highlighting the dose-response relationship and limitations of velocity loss research. It also explores the impact of proximity to failure on strength gains, emphasizing the importance of volume. The significance of indicator sets and velocity loss thresholds for powerlifters is examined, along with evolving thoughts on training approaches and individualization.
Moderate velocity loss thresholds generally lead to the greatest strength gains, while lower velocity loss thresholds are more efficient in terms of strength gains per rep.
Volume plays a significant role in driving strength gains, and equating volume between different velocity loss groups is crucial to accurately assess the influence of velocity loss on strength gains.
Deep dives
The relationship between velocity loss and strength gains
The podcast discusses a recent meta-analysis that examines the relationship between velocity loss and strength gains. The study found that moderate velocity loss thresholds generally led to the greatest strength gains, while lower velocity loss thresholds were more efficient in terms of strength gains per rep. However, the analysis also highlighted the limitation of velocity loss research in not controlling for volume. It is suggested that volume may play a significant role in driving strength gains, as evidenced by studies that equated volume between different velocity loss groups. The podcast emphasizes the need for further research to better understand the relationship between velocity loss, volume, and strength gains.
The limitations of velocity loss research
The podcast acknowledges the limitations of velocity loss research, particularly the lack of volume control in many studies. It highlights the importance of equating relative volume between different velocity loss groups to accurately assess the influence of velocity loss on strength gains. The podcast also stresses the need for studies that integrate indicator sets and high load exposures to provide a more practical application of the findings. The limitations of current velocity loss research are discussed to caution against overgeneralizing conclusions and to emphasize the importance of individualization in program design.
The efficiency analysis
A specific focus is placed on the efficiency analysis conducted in the meta-analysis, which reveals that early repetitions in low velocity loss sets tend to be the most productive. However, this efficiency analysis is also confounded by volume differences. It is suggested that the efficiency observed in low velocity loss sets may be attributed to lower overall volume, rather than solely proximity to failure. Practical considerations are emphasized, with the podcast suggesting that finding the right balance between velocity loss, fatigue, and performance is crucial in designing effective training programs for strength gains.
Practical implications and individualization
The podcast encourages a balanced approach to program design, considering factors such as load, fatigue, and an individual's response to different velocity loss thresholds. The importance of individualization is emphasized, as some individuals may respond well to low velocity loss training, while others may prefer or benefit from different approaches. The podcast also highlights the need to align program design with the individual's specific weaknesses and goals, taking into account factors such as muscle groups targeted, variations in exercise selection, and volumes on main lifts. The value of practical experience and experimentation is recognized in refining program design for optimal strength gains.
We apologize for any audio issues throughout this episode. We are still adjusting to new equipment and software, thank you for listening!
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Timestamps:
00:00 Intro
01:04 How can we use velocity loss to gain insight towards which reps are the most efficient for strength?
https://www.mdpi.com/2227-9032/11/3/337
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Music by Joystock - https://www.joystock.com
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