Collagen Protein Does NOT Build Muscle (Bayesian Inference) | Ep 216

Wits & Weights | Smart Science to Build Muscle and Lose Fat

Collagen protein has been hyped as a muscle-building supplement, especially for older adults, but does it really deliver?
In this episode, we use Bayesian Inference – a powerful statistical tool – to evaluate the latest research on collagen's effectiveness for muscle growth.

Learn how to apply Bayesian thinking to fitness claims and make smarter decisions about your nutrition and training. Discover why you might need to rethink your protein supplement strategy and how to optimize your protein intake for real muscle gains.

To learn more about building muscle efficiently (and hear me bust other wild claims of the fitness industry), join my FREE mailing list at https://witsandweights.com/email

Main Takeaways:

• Bayesian Inference is a method of updating beliefs based on new evidence, crucial for evaluating fitness claims.
• Recent research examines whether collagen protein actually increases muscle protein synthesis.
• Protein quality, not just quantity, is important for muscle growth... at least to an extent.
• The Bayesian approach can be applied to all areas of fitness and nutrition to make more informed decisions.

Need high-quality protein (whey or pea/rice powder or bars)? I recommend 1st Phorm. Support the podcast using my link:
https://1stphorm.com/witsandweights

Study Mentioned:

• McKendry, J., Lowisz, C. V., Nanthakumar, A., MacDonald, M., Lim, C., Currier, B. S., & Phillips, S. M. (2024). The effects of whey, pea, and collagen protein supplementation beyond the recommended dietary allowance on integrated myofibrillar protein synthetic rates in older males: a randomized controlled trial. The American Journal of Clinical Nutrition. - ScienceDirect

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Chapter

1. Collagen Protein Does NOT Build Muscle (Bayesian Inference) | Ep 216 (00:00:00)

2. Bayesian Inference in Muscle Growth (00:00:01)

3. Protein Quality and Muscle Growth (00:04:37)

4. Evidence-Based Nutrition and Fitness Insights (00:13:54)