Preprint has been published in a journal as an article
DOI of the published article https://doi.org/10.1007/s40279-024-02069-2
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Exploring the Dose-Response Relationship Between Estimated Resistance Training Proximity to Failure, Strength Gain, and Muscle Hypertrophy

A Series of Meta-Regressions

##article.authors##

  • Zac P. Robinson Florida Atlantic University
  • Joshua C. Pelland Florida Atlantic University Muscle Physiology Lab
  • Jacob F. Remmert Florida Atlantic University Muscle Physiology Lab
  • Martin C. Refalo Institute for Physical Activity and Nutrition (IPAN), School of Exercise and Nutrition Sciences, Deakin University
  • Ivan Jukic Sport Performance Research Institute New Zealand (SPRINZ), Auckland University of Technology
  • James Steele Faculty of Sport, Health, and Social Sciences, Solent University
  • Michael C. Zourdos Florida Atlantic University Muscle Physiology Lab

DOI:

https://doi.org/10.51224/SRXIV.295

Keywords:

Resistance Training, Proximity to Failure, muscle hypertrophy, maximal strength, meta-analysis

Abstract

Background: The proximity to failure in which sets are terminated has gained attention in the scientific literature as a potentially key resistance training variable. Multiple meta-analyses have directly (i.e., failure versus not to failure) or indirectly (e.g., velocity loss, alternative set structures) evaluated the effect of proximity to failure on strength and muscle hypertrophy outcomes categorically; however, the dose response effects of proximity to failure have not been analyzed collectively in a continuous manner. Objective: To meta-analyze the aforementioned areas of relevant research, proximity to failure was quantified as the number of repetitions in reserve (RIR). Importantly, the RIR associated with each effect in the analysis was estimated based on the available descriptions of the training interventions in each study. Data were extracted and a series of exploratory multi-level meta-regressions were performed for outcomes related to both strength and muscle hypertrophy. A range of sensitivity analyses were also performed. All models were adjusted for the effects of load, method of volume equating, duration of intervention, and training status. Results: The best fit models for both strength and muscle hypertrophy outcomes demonstrated modest quality of overall fit. In all of the best-fit models for strength, the confidence intervals of the marginal slopes for estimated RIR contained a null point estimate, indicating a negligible relationship with strength gains. However, in all of the best-fit models for muscle hypertrophy, the marginal slopes for estimated RIR were negative and their confidence intervals did not contain a null point estimate, indicating that changes in muscle size increased as sets were terminated closer to failure. Conclusions: The dose-response relationship between proximity to failure and strength gain appears to differ from the relationship with muscle hypertrophy, with only the latter being meaningfully influenced by RIR. Strength gains were similar across a wide range of RIR, while muscle hypertrophy improves as sets are terminated closer to failure. Considering the RIR estimation procedures used, however, the exact relationship between RIR and muscle hypertrophy and strength remains unclear. Researchers and practitioners should be aware that optimal proximity to failure may differ between strength and muscle hypertrophy outcomes, but caution is warranted when interpreting the present analysis due to its exploratory nature. Future studies deliberately designed to explore the continuous nature of the dose-response effects of proximity to failure in large samples should be considered.

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