Weekly External Load Performance Effects on Sports Injuries of Male Professional Football Players

• Autor(a) principal: Martins, Francisco
• Data de Publicação: 2023
• Outros Autores: Marques, Adilson, França, Cíntia, Sarmento, Hugo, Henriques, Ricardo, Ihle, Andreas, Nascimento, Marcelo de de Maio, Saldanha, Carolina, Przednowek, Krzysztof, Gouveia, Élvio Rúbio
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
• Texto Completo: http://hdl.handle.net/10400.13/5199
• topic: Soccer; Risk factors of injury; Injury prevention; GPS; Sports monitoring; Football; .; Faculdade de Ciências Sociais

One of the most challenging issues professional football players face throughout their careers is injuries. Those injuries often result from suboptimal training programs that were not designed according to the players’ individual needs. This prospective study aimed to examine in detail the effects of sports injuries on professional football players’ weekly external load performances. Thirty-three male professional football players were monitored using 10-Hz Global Positioning Sys tem (GPS) units (Apex pro series, StatSports) during an entire season. The variables considered in the analysis were total distance (TD), high-speed running (HSR), accelerations (ACC), and decelerations (DEC). The comparisons were made between the four-week block before injury (–4T), four-week block after return (+4T), and players’ season averages (S). Players displayed significantly higher values of TD, HSR, ACC, and DEC in the –4T, compared to the other two moments (+4T and S). Furthermore, the comparison between the +4T and S showed no significant variations in the GPS metrics. It was shown that a significant increase in players’ weekly external load performance over a four–week period may have a negative effect on the occurrence of injuries from a professional football standpoint. Future research should consider the effects of injury severity on players’ external load variations.