Injury prevention strategies

Injury Prevention Strategies Club Brugge KV A holistic interdisciplinary approach (Stone, 1999). "Fail to plan—plan to fail." Jan Van Winckel Prof. Werner Helsen Dr. Jan De Neve

Economical cost - Ronaldo ,[object Object],[object Object],[object Object],[object Object]

Football ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Facts and Figures Industrial > 0.02 injuries / 1000 hours In football > 8.5 injuries / 1000 hours: - match: 27.7 - training: 3.5

Facts and figures Talents Mean = 2,7 ,[object Object],[object Object],Junge, 2004, American Journal of Sports Medicine

1990 -2009 Athletic Factors ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Problem of re-injuries Top 5 Sport Sciences, impact factor 3.4

Re-injuries 10 teams 241 players 90 players with injury 10 teams 241 players 79 players with injury Intervention group Control group

Conceptual model ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Predisposed athlete Susceptible athlete Internal risk factors ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],External risk factors ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Inciting Events Injured athlete Risk factors Injury mechanism Distal to outcome Proximal to outcome

Prevention strategies ,[object Object],[object Object]

Prevention strategies Intrinsic risk factors

TopSportLab.com Name player Topsportlab developped an individual prevention screening model

[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Hypothesis : ,[object Object],[object Object]

Methods ,[object Object],[object Object],[object Object],[object Object]

Table 5 Comparison of the average algorithm risk score (%) between the 3 unavailability classes Unavailability 0-7 days (a) > 8 days (b) > 28 days (c) # players 15 10 4 Average(SD) 41,2 (0,2) 48,2 (0,2) 61,8 (0,1)* * Mann Whitney U test, a vs. c, p<0.01

Medical attention injuries ,[object Object],[object Object],[object Object],[object Object],[object Object]

Prevention strategies ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Fitness-Fatigue model Or Two factor model has considered performance as a systems output

Fitness-Fatigue model ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Individual overload zone Non-Injury zone -detraining Injury Treshold Overload zone Overuse Injury zone Duration 60min 120min 180min Intensity 100% 50% 0%

Team x overload zones Non-Injury zone Speler 2 Speler 1 Speler 3 Injury zone Training : 60 min aan 80% Intensity 100% 50% 0% Duration 60min 120min 180min

Prevention strategies ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

The UEFA Elite Club Medical Forum Nyon 17/11/2008

Injury prevention strategies

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Injury prevention strategies