A0987
Title: Modelling time-varying training loads to assess their impact on sports injuries
Authors: Dae Jin Lee - IE University (Spain) [presenting]
Abstract: A flexible modeling framework is proposed to analyze time-varying exposures and recurrent events in team sports injuries. This framework leverages a piece-wise exponential additive mixed model to capture the cumulative and potentially complex effects of past exposures, such as high-intensity training loads, on current injury risk. To determine the optimal time window during which past exposures influence risk, a penalty-based approach is introduced. A simulation study is conducted to assess the performance of the proposed model under various scenarios, including different underlying weight functions and varying levels of heterogeneity across recurrent events. Finally, the application of this approach is demonstrated through a case study involving an elite male football team competing in Spain's LaLiga. The cohort includes time-loss injury data and external training load measures tracked via global positioning system (GPS) devices over the 2017-2018 and 2018-2019 seasons.
