In this episode of Iron Culture, hosts Dr. Eric Helms and Dr. Eric Trexler are joined by Dr. Martin Refalo to discuss their recent meta-regression study on protein intake and its effects on muscle hypertrophy. They cover Martin's background, the initiation of the project, the methods used, and key findings, followed by a discussion of some critiques that have been generating discussion on social media platforms. The conversation emphasizes the importance of understanding statistical approaches in research and the implications of their findings for the fitness community. In this conversation, the Erics and Martin discuss the complexities of statistical modeling in nutrition research, the importance of parsimony, the risks of overfitting, and the challenges of controlling for covariates. The conversation also touches on the debate surrounding scaling protein recommendations by fat-free mass versus total mass, critiques of previous research on protein requirements for hypertrophy, and the ways in which these new findings support (and contradict) the authors’ previously held biases. Throughout the episode, they reflect on the evolution of research in the fitness industry and the importance of engaging with critiques and feedback. Ultimately, they emphasize the need for thoughtful, contextualized, individualized application of their findings while acknowledging key limitations of their work.
Time stamps:
00:00 Introducing Dr Martin Refalo
Iron Culture Ep. 197- Training To Failure: A Comprehensive Overview
https://www.youtube.com/watch?v=oa8Z-fUuiNU
5:28 How did we get to the meta-regression and an overview of the methods
Refalo 2025 Effect of Dietary Protein on Fat-Free Mass in Energy Restricted, Resistance-Trained Individuals: An Updated Systematic Review With Meta-Regression
https://journals.lww.com/nsca-scj/fulltext/9900/effect_of_dietary_protein_on_fat_free_mass_in.179.aspx
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