Predicting Injuries in Elite Female Football Players With Global-Positioning-System and Multiomics Data
Juan R. González,
Alejandro Cáceres,
Eva Ferrer
et al.
Abstract:Purpose: Injury prevention is a crucial aspect of sports, particularly in high-performance settings such as elite female football. This study aimed to develop an injury prediction model that incorporates clinical, Global-Positioning-System (GPS), and multiomics (genomics and metabolomics) data to better understand the factors associated with injury in elite female football players. Methods: We designed a prospective cohort study over 2 seasons (2019–20 and 2021–22) of noncontact injuries in 24 elite female pla… Show more
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