scholarly journals 427 Applying bayesian networks to injury occurrence in professional football

Author(s):  
Kate Kai-Yee Yung ◽  
Paul Pao-Yen Wu ◽  
Clare Ardern ◽  
Tobias Tröß ◽  
Abed Hadji ◽  
...  
2019 ◽  
Vol 54 (7) ◽  
pp. 421-426 ◽  
Author(s):  
Jan Ekstrand ◽  
Werner Krutsch ◽  
Armin Spreco ◽  
Wart van Zoest ◽  
Craig Roberts ◽  
...  

ObjectivesThe objective was to describe the typical duration of absence following the most common injury diagnoses in professional football.MethodsInjuries were registered by medical staff members of football clubs participating in the Union of European Football Association Elite Club Injury Study. Duration of absence due to an injury was defined by the number of days that passed between the date of the injury occurrence and the date when the medical team allowed the player to return to full participation. In total, 22 942 injuries registered during 494 team-seasons were included in the study.ResultsThe 31 most common injury diagnoses constituted a total of 78 % of all reported injuries. Most of these injuries were either mild (leading to a median absence of 7 days or less, 6440 cases = 42%) or moderate (median absence: 7–28 days, 56% = 8518 cases) while only few (2% = 311 cases) were severe (median absence of >28 days). The mean duration of absence from training and competition was significantly different (p < 0.05) between index injuries and re-injuries for six diagnoses (Achilles tendon pain, calf muscle injury, groin adductor pain, hamstring muscle injuries and quadriceps muscle injury) with longer absence following re-injuries for all six diagnosesConclusionsThe majority of all time loss due to injuries in professional football stems from injuries with an individual absence of up to 4 weeks. This article can provide guidelines for expected time away from training and competition for the most common injury types as well as for its realistic range.


2019 ◽  
Vol 30 (3) ◽  
pp. 523-530 ◽  
Author(s):  
Lorenzo Lolli ◽  
Roald Bahr ◽  
Matthew Weston ◽  
Rodney Whiteley ◽  
Montassar Tabben ◽  
...  

2019 ◽  
Vol 14 (1) ◽  
pp. 54-68 ◽  
Author(s):  
Stefan Szymanski ◽  
Daniel Weimar

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