Injury risk and workload analysis in elite adolescent female volleyball players using machine learning

The findings of this study suggest that intense training prior to performance may increase the risk of injury, while older players appear to exhibit a lower risk of injury. These insights highlight the importance of tailored training strategies that consider both physiological factors and individual player profiles to mitigate injury risks in elite female volleyball athletes, including the presence or absence of menstruation with associated discomfort, which appears to be a relevant factor.