injury prediction

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In football: 25.9 injuries/ 1000 hrs the mine & construction sector: 02 injuries/ 1000 hrs Facts & Figures Professional football

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Page 1: Injury prediction

In football:25.9 injuries/ 1000 hrs

In the mine & construction sector:0.02 injuries/ 1000 hrs

Facts & FiguresProfessional football

Page 2: Injury prediction
Page 3: Injury prediction
Page 4: Injury prediction
Page 5: Injury prediction

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.

Page 6: Injury prediction

Injury preventio

n

Injury prediction – Intrinsieke

risicofactoren

Fatigue management

InterdisciplinaryApproach (Shakthar Donetsk)

Page 7: Injury prediction

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

Page 8: Injury prediction

Interne factoren - Voorbestemde atleet

Page 9: Injury prediction

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

Page 10: Injury prediction

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

Page 11: Injury prediction

Top 10 Sport Sciences, IF 2.5

Page 12: Injury prediction

Injury prevention screening

Screening intrinsic risk factors

• Functional screening

•Adapted FMS

• Flexibility

• Anthropometric

• Girth measurements

• Functional strength tests

• Physical tests

• Jump tests

Page 13: Injury prediction

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

Page 14: Injury prediction

Individual risk

profile

• Compare 2 or more moments in time

• Injury sensitive zones • Evolution through

adapted program • Quality control

Page 15: Injury prediction

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

Page 16: Injury prediction

Externe factoren - Vatbare atleet

Page 17: Injury prediction

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

Page 18: Injury prediction

Influence V4mmol on the injury risk / Hamstrings

Page 19: Injury prediction

Resultaten

1e helft Rust

2e helft

Page 20: Injury prediction

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%

Page 21: Injury prediction

Overbelastingszone

Page 22: Injury prediction
Page 23: Injury prediction

Validation

Thigh Posterior R

Page 24: Injury prediction

Injury preventio

n

Injury predictionFatigue

management

InterdisciplinaryApproach (Shakthar Donetsk)

Page 25: Injury prediction

Onderzoeksopzet 2

The influence of medical attention injuries on future time loss injuries

Steven Probst

Prof. Dr. Werner Helsen

Jan Van Winckel

Page 26: Injury prediction

Resultaten

Page 27: Injury prediction

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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Page 28: Injury prediction
Page 29: Injury prediction

• 18 European Top teams

• Case: Team working with TopSportsLab

• Analysis injuries & benchmarking with other teams

• Evolution incidence over 9 seasons

Page 30: Injury prediction

Number of training & matches missed due to injuries