Iron Culture presented by MASS cover image

Iron Culture presented by MASS

MASS Office Hours Episode 23 (Myo-Reps, Cluster Sets, CNS Fatigue)

Feb 17, 2024
Experts discuss advanced training methods like myo-reps and cluster sets, addressing CNS fatigue, protein distribution, and muscle growth. They explore effective workout strategies, underrated exercises, and considerations for strength training with a history of anorexia nervosa. The podcast covers topics ranging from rest pause training to biological “set points” for fat and muscle mass.
01:38:58

Podcast summary created with Snipd AI

Quick takeaways

  • CNS fatigue may not be as significant in training as previously thought, with metabolic and muscular factors playing a larger role.
  • Special caution and monitoring are essential when working with individuals with a history of anorexia nervosa, focusing on potential relapse and careful exercise selection.

Deep dives

Understanding CNS fatigue in training

CNS fatigue, or central nervous system fatigue, is a term often used to describe the overall fatigue and reduced performance experienced by the central nervous system after intense physical activity. It is believed to be caused by a combination of factors, including metabolic byproducts, neurotransmitter depletion, and changes in neural excitability. However, the exact mechanisms and driving factors of CNS fatigue are still not fully understood. While CNS fatigue has been a popular concept in fitness and training, recent research suggests that metabolic and local muscular factors play a larger role in fatigue than previously thought. This has led some experts to question the significance of CNS fatigue in programming and training. Ultimately, the concept of CNS fatigue should be considered in the context of individual training goals and needs, and it may vary between individuals based on genetics, training history, and other factors. It is important to listen to your body, prioritize adequate rest and recovery, and adjust training volume and intensity accordingly to optimize performance and prevent overtraining.

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