injury prediction
TRANSCRIPT
In football:25.9 injuries/ 1000 hrs
In the mine & construction sector:0.02 injuries/ 1000 hrs
Facts & FiguresProfessional football
1990 -2009 Athletic Factors• Increased distances covered in ALL positions.• Increased distances covered at high speed.• Increased speed and power - ( higher intensity.)• Game is played at quicker pace – (ball & player speeds.)• Number of sprints per game in Premiership has doubled since 2002.• Average number of high intensity activities has almost doubled since 2002.
• Change in player body-type to muscular mesomorph.• Higher levels of body strength are now required.• Increased resistance to injury now more apparent.• Diet, nutritional understanding has improved significantly.• Pre – hab sessions now incorporated.• Recovery & regeneration strategies greatly enhanced.• Larger player pools and nationalities / ethnicities.• Increased number and use of substitutes.
Injury preventio
n
Injury prediction – Intrinsieke
risicofactoren
Fatigue management
InterdisciplinaryApproach (Shakthar Donetsk)
Injury Mechanism
Nature
Age Gender Height Anatomy Health Physical Fitness Proprioception Skill level Flexibility Muscular balances Muscular strength
Nurture (training)
Nature
Age Gender Height Anatomy Health Physical Fitness Proprioception Skill level Flexibility Muscular balances Muscular strength
Nurture (training)
Pre
disp
ose
d
ath
lete
Pre
disp
ose
d
ath
lete
Su
scep
tible
ath
lete
Su
scep
tible
ath
lete
Internal risk factorsInternal risk factors
Human factors Referee Team mate Opponent
Environment Weather Surface Maintenance
Sports equipment Clothes Shoes
Protective equipment Shin guards Helmet
Human factors Referee Team mate Opponent
Environment Weather Surface Maintenance
Sports equipment Clothes Shoes
Protective equipment Shin guards Helmet
External risk factorsExternal risk factors
Training program Daily training Cycle Periodisation Workload Fatigue Season planning
Joint motion Warming up Unprepared Prepared
Skill performance
Training program Daily training Cycle Periodisation Workload Fatigue Season planning
Joint motion Warming up Unprepared Prepared
Skill performance
Inciting eventsInciting events
Inju
red
ath
lete
Inju
red
ath
lete
Risk factors Injury mechanism
1. Screening and detecting intrinsic risk factors 2. Monitoring workload & Managing fatigue
2.
Su
scep
tible
ath
lete
Su
scep
tible
ath
lete
Bahr & Krosshaug. (2005). Injury mechanism
Interne factoren - Voorbestemde atleet
13 december 2006Club BruggeBlessurepreventie
Mannaseh Ishiaku24 jaarDatum: 05-08 – 22-8 – 23-10Onbeschikbaar: 8 weken
DDiiaaggnnoossee
Diagnose: Diagnose:
Ruptuur 2de graad biceps femorisRuptuur 2de graad biceps femoris
Hoe: Hoe:
Tijdens de wedstrijd – zie beeldenTijdens de wedstrijd – zie beelden
13 december 2006Club BruggeBlessurepreventie
PPrreeddiiccttoorreenn
Knie flexie (hamstrings) R
Juli ’06 206 Knie extensie (quadriceps) R
Juli ’06 278
Knie flexie (hamstrings) L
Juli ’06 134 Knie extensie (quadriceps) L
Juli ’06 210
Verschil R-L Juli ’06 72 Verschil R-L Juli ’06 68
Gemmidelde Juli ’06 170 Gemiddelde Juli ’06 244
Positie in de groep
Juli ’06 17/24 Gemiddelde groep
Juli ’06 272,35
Verschil met de groep
Juli ’06 -18,1 Verschil met de groep
Juli ’06 -28,4
Knie ratio R Juli ’06 74 % Knie ratio L Juli ’06 64 %
Doelstelling knie ratio R
December ‘06
Ok % Doelstelling knie ratio L
December ‘06
73.6 %
Verschil R-L Juli ’06 10 Gemiddelde Juli ’06 69
Verschil met de groep
Juli ’06 -1 % Gemiddelde groep
Juli ’06 70 %
Knie eccentrisch R
Juli ’06 -329 Knie eccentrisch R
Juli ’06 -278
Verschil R-L Juli ’06 51 Gemiddelde Juli ’06 -303,5
Verschil met de groep
Juli ’06 -61,8 Positie in de groep
Juli ’06 2/24
Top 10 Sport Sciences, IF 2.5
Injury prevention screening
Screening intrinsic risk factors
• Functional screening
•Adapted FMS
• Flexibility
• Anthropometric
• Girth measurements
• Functional strength tests
• Physical tests
• Jump tests
1. Screen Intrinsic risk factors
2. Analyse workload
3. Monitor players
Individual risk profile Most susceptible body
zones Develop appropriate
prevention programs
Injury Prediction Algorithm
Individual risk
profile
• Compare 2 or more moments in time
• Injury sensitive zones • Evolution through
adapted program • Quality control
Injury Mechanism
Nature
Age Gender Height Anatomy Health Physical Fitness Proprioception Skill level Flexibility Muscular balances Muscular strength
Nurture (training)
Nature
Age Gender Height Anatomy Health Physical Fitness Proprioception Skill level Flexibility Muscular balances Muscular strength
Nurture (training)
Pre
disp
ose
d
ath
lete
Pre
disp
ose
d
ath
lete
Su
scep
tible
ath
lete
Su
scep
tible
ath
lete
Internal risk factorsInternal risk factors
Human factors Referee Team mate Opponent
Environment Weather Surface Maintenance
Sports equipment Clothes Shoes
Protective equipment Shin guards Helmet
Human factors Referee Team mate Opponent
Environment Weather Surface Maintenance
Sports equipment Clothes Shoes
Protective equipment Shin guards Helmet
External risk factorsExternal risk factors
Training program Daily training Cycle Periodisation Workload Fatigue Season planning
Joint motion Warming up Unprepared Prepared
Skill performance
Training program Daily training Cycle Periodisation Workload Fatigue Season planning
Joint motion Warming up Unprepared Prepared
Skill performance
Inciting eventsInciting events
Inju
red
ath
lete
Inju
red
ath
lete
Risk factors Injury mechanism
1. Screening and detecting intrinsic risk factors 2. Monitoring workload & Managing fatigue
2.
Su
scep
tible
ath
lete
Su
scep
tible
ath
lete
Bahr & Krosshaug. (2005). Injury mechanism
Externe factoren - Vatbare atleet
Injury Mechanism
Nature
Age Gender Height Anatomy Health Physical Fitness Proprioception Skill level Flexibility Muscular balances Muscular strength
Nurture (training)
Nature
Age Gender Height Anatomy Health Physical Fitness Proprioception Skill level Flexibility Muscular balances Muscular strength
Nurture (training)
Pre
disp
ose
d
ath
lete
Pre
disp
ose
d
ath
lete
Su
scep
tible
ath
lete
Su
scep
tible
ath
lete
Internal risk factorsInternal risk factors
Human factors Referee Team mate Opponent
Environment Weather Surface Maintenance
Sports equipment Clothes Shoes
Protective equipment Shin guards Helmet
Human factors Referee Team mate Opponent
Environment Weather Surface Maintenance
Sports equipment Clothes Shoes
Protective equipment Shin guards Helmet
External risk factorsExternal risk factors
Training program Daily training Cycle Periodisation Workload Fatigue Season planning
Joint motion Warming up Unprepared Prepared
Skill performance
Training program Daily training Cycle Periodisation Workload Fatigue Season planning
Joint motion Warming up Unprepared Prepared
Skill performance
Inciting eventsInciting events
Inju
red
ath
lete
Inju
red
ath
lete
Risk factors Injury mechanism
1. Screening and detecting intrinsic risk factors 2. Monitoring workload & Managing fatigue
2.
Su
scep
tible
ath
lete
Su
scep
tible
ath
lete
Bahr & Krosshaug. (2005). Injury mechanism
Influence V4mmol on the injury risk / Hamstrings
Resultaten
1e helft Rust
2e helft
Injury Treshold
Injury zone
Non-Injury zone
Training
Training – overuse injury
Wanneer een muskuloskeletale
structuur onderhevig is aan een aan
intensiteit/omvang combinatie dat kort bij de blessuregrens ligt,
maar er tcoh onder, zal er een positieve
remodelatie van deze structuur ontstaan.
Conceptueel model overuse
Conceptueel model overuse
Omvang60min 120min 180min
100%
50%
0%
Overbelastingszone
Validation
Thigh Posterior R
Injury preventio
n
Injury predictionFatigue
management
InterdisciplinaryApproach (Shakthar Donetsk)
Onderzoeksopzet 2
The influence of medical attention injuries on future time loss injuries
Steven Probst
Prof. Dr. Werner Helsen
Jan Van Winckel
Resultaten
Diagnosis form1. Select player & set
prognosis
2. Diagnosis: Select type of injury
3. Select structure and side
4. Add extra information about the injury mechanism
5. Was medical imaging used?
6. Upload file/ add scan report or rehab and write extra information about diagnosis
7. Share diagnosis form with other users by email
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• 18 European Top teams
• Case: Team working with TopSportsLab
• Analysis injuries & benchmarking with other teams
• Evolution incidence over 9 seasons
Number of training & matches missed due to injuries