A Simple Model for Diagnosis of Maladaptations to Exercise Training

Area of Science:

• Exercise Physiology
• Integrated Physiology
• Sports Science

Background:

• Overreaching and overcompensation are common training concepts, but their physiological underpinnings, especially negative outcomes, remain poorly understood.
• Current understanding heavily relies on performance metrics, lacking clear physiological markers for fatigue states.
• Research links excessive training loads to maladaptations in muscular oxidative function.

Purpose of the Study:

• To investigate the physiological and psychological responses to different training loads in regularly exercising individuals.
• To develop a diagnostic model for identifying maladaptations during excessive training.
• To utilize mitochondrial function as an early indicator of excessive training stress.

Main Methods:

• Recruited 11 participants for a 4-week training intervention involving monitored high-intensity interval training (HIIT) on a cycle ergometer.
• Progressively increased training intensity to induce overload.
• Assessed physiological and psychological responses throughout the intervention.

Main Results:

• A decline in mitochondrial function correlated with reduced physiological responses (glycolytic, glucoregulatory, heart rate) and increased perceived exertion during HIIT.
• Excessive training loads significantly impacted mood states, while performance metrics showed stagnation rather than decline.
• A diagnostic model using five key parameters successfully identified maladaptive training loads in all participants.

Conclusions:

• Mitochondrial function serves as a sensitive marker for excessive training, preceding performance decrements.
• A diagnostic model based on physiological and psychological markers can help coaches and exercise physiologists monitor training adaptation.
• This approach aids in optimizing training for improved performance and health benefits, without requiring muscle biopsies.