Accepted 16 November 2015 Published Online First 12 January 2016 | Tim J Gabbett
The paper discusses the "Training-Injury Prevention Paradox," which suggests that athletes accustomed to high training loads may have fewer injuries compared to those with lower training volumes. It highlights that non-contact injuries are not necessarily caused by training itself but by inappropriate training programs, with excessive and rapid increases in training loads being a significant factor. The paper emphasizes the importance of accurately measuring both external (physical work) and internal (physiological response) training loads, and introduces the concept of the acute:chronic workload ratio as a critical variable for predicting training-related injuries. It also notes that well-developed physical qualities can reduce the risk of injury, and that both under-training and over-training can increase injury risk. The paper concludes that appropriately graded high training loads can improve fitness and resilience, leading to better performance and fewer injuries. It provides a model for monitoring and prescribing training loads to minimize injury risk while maximizing performance.The paper discusses the "Training-Injury Prevention Paradox," which suggests that athletes accustomed to high training loads may have fewer injuries compared to those with lower training volumes. It highlights that non-contact injuries are not necessarily caused by training itself but by inappropriate training programs, with excessive and rapid increases in training loads being a significant factor. The paper emphasizes the importance of accurately measuring both external (physical work) and internal (physiological response) training loads, and introduces the concept of the acute:chronic workload ratio as a critical variable for predicting training-related injuries. It also notes that well-developed physical qualities can reduce the risk of injury, and that both under-training and over-training can increase injury risk. The paper concludes that appropriately graded high training loads can improve fitness and resilience, leading to better performance and fewer injuries. It provides a model for monitoring and prescribing training loads to minimize injury risk while maximizing performance.