74. Brad Schoenfeld: Optimal Hypertrophy Training

I had Brad Schoenfeld back on the Swole Radio Podcast to discuss optimal training for hypertrophy. We cover some of his recent research and perspectives:

0:23 Without fail: muscular adaptations in single set resistance training performed to failure or with repetitions in reserve 

4:18 is there an incremental benefit of training closer to failure?

7:39 Give it a rest: a systematic review with Bayesian meta-analysis on the effect of inter-set rest interval duration on muscle hypertrophy

16:38 how to program rep ranges for hypertrophy

24:34 Do cheaters prosper? Effect of externally supplied momentum during resistance training on measures of upper body muscle hypertrophy

28:10 Optimizing resistance training technique to maximize muscle hypertrophy: a narrative review

32:08 how do you know if an exercise is good for you?

37:24 how should people find their optimal training volume?

43:20 how to run deloads

Brad’s IG: @bradschoenfeldphd

-------------------------------

My e-books: https://askdrswole.com/

MASS Research Review: https://www.massmember.com/a/2147986175/LwzhWs82

(This is an affiliate link - I’ll receive a small commission when you use it)

Dream Physique Nutrition Course: https://dr-swole.thinkific.com/courses/dream-physique-nutrition

-------------------------------

Find me on social media:

YOUTUBE: https://www.youtube.com/@DrSwole

INSTAGRAM: http://instagram.com/dr_swole

FACEBOOK GROUP: https://www.facebook.com/groups/drswole

TIKTOK: https://www.tiktok.com/@dr_swole/

-------------------------------

About me: I'm a medical doctor and pro natural physique athlete based in Vancouver, Canada. I share evidence-based perspectives on natural bodybuilding, and see to help people achieve health, wealth, and happiness.

-------------------------------

Disclaimers: Consider seeing a physician to assess your readiness before beginning any fitness program. Information presented here is to be applied intelligently in the individual context. I do not assume liability for any loss incurred by using information presented here. 

-------------------------------