Mechanical Variables Derived From Submaximal Back Squat Performance Are Positively Associated With Running...

Area of Science:

• Sports Science
• Exercise Physiology
• Biomechanics

Background:

• Endurance running performance relies on complex neuromuscular and biomechanical factors.
• Understanding the relationship between maximal strength capacities and running economy is crucial for optimizing training.

Purpose of the Study:

• To investigate the association between lower-body maximal neuromuscular capacities and endurance running performance in highly trained athletes.
• To determine how mechanical variables derived from submaximal back squat performance relate to running metrics.

Main Methods:

• Fifteen highly trained endurance runners underwent three testing sessions.
• Maximal neuromuscular capacities (e.g., maximal theoretical load, velocity, power proxy) and strength deficit were assessed using the half squat.
• Running performance was evaluated through 9- and 3-minute time trials, measuring speed, ground contact time, cadence, and leg stiffness.

Main Results:

• A significant positive association was found between the area under the load-velocity relationship line (Aline) and leg stiffness during both 9- and 3-minute time trials.
• Leg stiffness demonstrated moderate correlations with strength deficit across various submaximal loads (50-80% 1RM).
• These findings suggest that enhanced power output and strength contribute to better running economy.

Conclusions:

• Mechanical variables derived from submaximal back squat performance, particularly those related to power and strength deficit, are positively associated with running performance.
• Highly trained endurance runners may benefit from explosive strength training (50-80% 1RM) to improve power output and running efficiency.
• Leg stiffness, a key indicator of running economy, is linked to maximal neuromuscular capacities and strength deficit.