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Training Load and Injury: Causal Pathways and Future Directions.

Judd T Kalkhoven1, Mark L Watsford2, Aaron J Coutts2

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Understanding the link between training load and athletic injury is crucial. This study examines how mechanical and psycho-physiological pathways contribute to injury, highlighting the need for better quantification of mechanical loads for accurate risk assessment.

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Area of Science:

  • Sports Science
  • Biomechanics
  • Exercise Physiology

Background:

  • Causal pathways linking training loads to athletic injury (tissue damage, gradual onset, traumatic) are not well understood.
  • Numerous internal and external training load measures exist, often used for injury risk evaluation.
  • Current measures struggle to accurately quantify mechanical loads, hindering understanding of tissue-level responses.

Purpose of the Study:

  • To examine the relationship between specific training load measures and metrics and the causal pathways of athletic injury.
  • To investigate the roles of mechanical and psycho-physiological load-response pathways in injury.
  • To identify challenges in quantifying mechanical loads and their validation with current training load measures.

Main Methods:

  • Conceptual examination of training load measures and their relation to injury pathways.
  • Analysis of the mechanical load-response pathway and its understanding in tissue fatigue and trauma.
  • Case study using a common training load metric to assess its conceptual rationale and link to causal mechanisms.

Main Results:

  • The mechanical load-response pathway's contribution to tissue fatigue and trauma is poorly understood and difficult to quantify in applied settings.
  • A lack of validation exists between current training load measures and actual tissue-level mechanical loads.
  • Internal load measures are likely too distant from injury causation to reliably predict injury risk.

Conclusions:

  • Accurate quantification of mechanical loads is essential for estimating tissue damage and improving injury risk assessment.
  • Psycho-physiological load measures have speculative links to injury and may not be reliable predictors.
  • Refined injury risk assessment methods require a sound conceptual rationale and validated links to causal mechanisms, moving beyond current training load metrics.