Critical load was detected at 31.7 ± 11.9% 1RM, suggesting a potential proximity between the critical load and the load associated with blood flow occlusion during contraction, which may represent a minimum load threshold for effective resistance training.
Key Findings
Results
The 10% 1RM protocol failed to induce muscle failure and produced lower metabolic perturbation compared to higher loads.
Participants performed exhaustive unilateral leg extension at 10%, 30%, 50%, 70%, and 90% 1RM
Only the 10% 1RM condition did not lead to muscle failure within the protocol
The 10% 1RM induced lower local and whole-body metabolic perturbation compared to all other loads
The 30%, 50%, 70%, and 90% 1RM protocols all induced muscle failure
Results
The critical load (CL) was detected at approximately 31.7% 1RM.
CL was calculated based on the load used and the time required to reach muscle failure
CL was identified at 31.7 ± 11.9% 1RM across the 12 participants
The authors suggest a potential proximity between the CL and the load associated with blood flow occlusion during contraction
CL represents a physiological boundary separating sustainable from unsustainable exercise intensities
Results
Muscle excitation (EMG) upon exhaustion increased with increasing external loads and did not converge to common EMG levels across % 1RM conditions.
Electromyography was used to measure muscle excitation throughout each protocol
Higher % 1RM loads were associated with greater EMG levels at the point of exhaustion
EMG responses at exhaustion did not reach a common endpoint across the different % 1RM conditions
This finding challenges the notion that all loads performed to failure produce equivalent neuromuscular states at exhaustion
Results
The 30% and 50% 1RM protocols caused significant maximal voluntary contraction (MVC) reductions compared to baseline, indicating neuromuscular fatigue.
MVCs were assessed before and up to 30 minutes after each protocol
Significant MVC reductions versus baseline were observed after 30% and 50% 1RM protocols
Fatigue was moderately correlated with metabolic markers across conditions
The 70% and 90% conditions also caused fatigue but the specific statistical contrast versus baseline was highlighted for 30% and 50%
Results
The 30%, 50%, 70%, and 90% 1RM protocols induced similar levels of local and whole-body metabolic perturbation when performed to failure.
Muscle deoxyhaemoglobin was measured with near-infrared spectroscopy as an indicator of local muscle metabolism
Blood lactate, heart rate, and rate of perceived exertion were measured as indicators of whole-body responses
Similar metabolic perturbation across 30–90% 1RM suggests that performing sets to failure equalizes metabolic stress across a wide range of loads
The 10% 1RM condition was the exception, producing lower metabolic perturbation
Results
Fatigue accumulation was moderately correlated with metabolic markers across the repetition continuum.
Repeated-measure correlations were calculated between fatigue accumulation and the main physiological variables
The correlation between fatigue (MVC reduction) and metabolic markers was described as moderate
This suggests metabolic perturbation is a contributing but not exclusive driver of fatigue during resistance training to failure
The study included 12 participants (six women) with moderate resistance training experience
Discussion
A minimum load threshold for resistance training may exist near the critical load, which approximates the load associated with blood flow occlusion during contraction.
The CL concept, borrowed from endurance exercise physiology, was applied to resistance training as a physiological boundary
The detected CL of ~31.7% 1RM is proposed as a potential minimum effective load threshold for RT
The authors suggest proximity between CL and the load at which intramuscular pressure occludes blood flow during contraction
Loads below the CL (e.g., 10% 1RM) did not produce muscle failure or sufficient metabolic perturbation, potentially limiting hypertrophic stimuli
Colosio A, D'hoe B, Bourgois J, Boone J. (2026). Minimum load threshold in resistance training: insights into muscle metabolism, excitation, and fatigue across the repetition continuum.. PeerJ. https://doi.org/10.7717/peerj.20909