Jonathan Tait, DO1, Quinton Nottingham, PhD2,

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Presentation transcript:

Jonathan Tait, DO1, Quinton Nottingham, PhD2, Force Plate Measurement of Postural Control in Division I Football Players Jonathan Tait, DO1, Quinton Nottingham, PhD2, Jarrod Harrall, DO1, Terence Vardy, DO3, Dave Dietter, ATC1, Mike Goforth, ATC1, P. Gunnar Brolinson, DO1 1Department of Sports Medicine, Virginia Tech, Blacksburg, VA 2Department of Business Information Technology, Virginia Tech, Blacksburg, VA 3 Neuromuscular Engineering and Technology,Tweed Heads, Australia

Introduction A Division I College football player sustains a concussion in practice. Two weeks after the concussion he is cleared to return to play. During a game approximately two weeks later, he sustains a second concussion. Rather than mild symptoms such as experienced with his first concussion, he is momentarily unconscious following the hit. He is combative upon awakening, and then collapses on the field.

Introduction The second concussion and the events that followed ultimately leave him with persistent cognitive and speech impairments requiring 24-hour care. His family files a lawsuit against the university and the medical and training staff for improper management. The university settles the case one day before the trial was to begin, without any admission of wrongdoing, for $7.5 million.1 1. http://www.nytimes.com/2009/12/01/sports/ncaafootball/01lasalle.html

Introduction ▪ The appropriate management of sport-related concussion, specifically determining better objective determinants for return to play, is critical and constantly evolving.

Introduction Assessment Protocol: Detailed Neurological Examination Symptom Inventory Neuropsychological Tests Remain the cornerstone of the assessment and provide objective data to enhance return to play decisions.2 2.Mcrory, P et al. (2009) Consensus Statement on Concussion in Sport – The 3rd International Conference on Concussion in Sport – Zurich.PMR.406-20

Introduction ▪ Assessment protocol also requires: -Objective evaluation of postural control.3 3. Randolph, C. McCrea, M., and Barr, W.B. (2005) Is neuropsychological testing useful in the management of sport-related concussion? J. Athletic Training. 40, 139-152

Objective Measures of Postural Control Force Plate Technology Various measures previously studied 4,5 Center of Pressure (COP) COP travel – Total, X, Y %COP 4.Guskiewicz, K.M. et al. (1997) Alternative approaches to the assessment of mild head injury in athletes. Med. Sci. Sports Exercise. 29, S213-S221. 5.Guskiewicz, K.M. et al. (2001) Postural Stability and neuropsychological deficits after concussion in collegiate athletes. J. Athletic Training. 36, 263-32

Objective Measures of Postural Control Balance Error Scoring System (BESS) Inexpensive alternative to force plate measurements Quantifiable method to objectively assess balance in athletes.6 6. Guskiewicz, K. M. (2001) Postural stability assessment following concussion: one piece of the puzzle. Clinical J. Sports Medicine. 11, 182-189.

Objective Measures of Postural Control Balance Error Scoring System (BESS) Comparison studies showed significant correlation between the BESS and force plate measures of postural control.7,8,9 More recently however, the reliability of the test has been questioned.10,11 http://www.chicagotribune.com/sports/basketball/bulls 7.Riemann, B.L. et al (1999) Relationship between clinical force plate measures of postural stability. J. Sport Rehabilitation. 8, 71-82 8.Riemann, B.L. et al (2000) Effects of mild head injury on postural stability as measured through clinical balance testing. J. Athletic Training. 35, 19-25 9.Guskiewicz, K.M. et al (1996) Effect of mild head injury on postural stability in athletes. J. Athletic Training. 31, 300-306. 10.Hunt, T.N. Et al (2009) The Reliability of the Modified Balance Error Scoring System. Clinical Journal of Sports Medicine. 19, 471-475 11. Finnoff, J.T. et al (2009) Intrarater and interrater reliability of the Balance Error Scoring System. PMR. 1, 50-54.

Study Objectives To examine the relationship of height, weight, position of play, and history of concussion to force plate measured postural control in Division I college football players. The components of postural control were also evaluated to determine another reliable measure that could compliment %COP and be used in the clinical setting.

Methods Data collection 103 Division I College football players were recruited into the study Collection was prior to the start of contact drills during the Fall 2009 training camp at Virginia Tech

Methods Data collection IsoBALANCE ® 2.0 Force Plate measurements: True Center of Pressure (COP) Center of Pressure (%COP0.6) Total Travel of COP (COPTT) Lateral side to side travel (COPTTx) Anterior-posterior travel (COPTTy)

Methods Data collection Two trials were recorded: 1 – Eyes open 2 − Eyes closed Athletes wore only socks, athletic shorts, and t-shirts.

Methods Data Analysis Divided into two height classes: ≤ 72 inches > 72 inches Stratified into four weight classes: Class 1: 170-210 lbs Class 2: 211-250 lbs Class 3: 251-290 lbs Class 4: 291-330 lbs Grouped based on position of play: Offensive line (OL) Offensive non-line (ONL) Defensive line (DL) Defensive non-line (DNL) History of prior concussion Yes No

  

Methods Data Analysis Primary components of balance examined: COPTT COPTTx COPTTy %COP0.6 One-way analysis of variance (ANOVA) was used to compare the four primary components of balance as a function of height, weight and position of play %COP0.6 = the percentage of time the athlete stayed within a 0.6 inch diameter from their true COP during each 30-second trial.

Results – Height

Results – Height Eyes Open: Eyes Closed: No significant differences Players ≤ 72 inches demonstrated significant less travel as measured by COPTT and COPTTx (p < 0.05)

Results – Weight

Results – Weight Eyes Open: Eyes Closed: Group 4 (291-330 lbs) had significantly worse balance than group 3 for COPTTy. (p < 0.005) Eyes Closed: Group 4 had significantly worse balance than groups 1, 2, and 3 for COPTTy. (p < 0.006 )

Results – Player Position

Results – Player Position Eyes Open: No significant differences between groups Eyes Closed: Better balance of ONL vs. OL (p < 0.05) As measured by COPTT, COPTTy, and %COP0.6 Better balance of DNL vs. OL (p < 0.05) As measured by COPTT and COPTTy Better balance of ONL vs. DNL (p<0.05) As measured by %COP0.6

Results – Prior Concussion No statistically significant differences for components of postural control evaluated.

Conclusions An athlete’s height, weight, and position of play significantly influence the components of postural control. COPTTy (heel to toe travel) showed significant differences across the categories of weight and position. Also showed a trend towards significance for the category of height. %COP0.6 did show significant differences, but only in relation to player position Offensive non-line players having comparatively better postural control than offensive and defensive line players.

Conclusions Based on these findings, it would suggest that COPTTy could be used along with %COP0.6 as another reliable and objective measure of postural control. Potentially, this measure of postural control may be useful in the clinical evaluation of concussed athletes. The obvious limitation in proving this hypothesis is the collection of an adequate number of trials performed on concussed athletes. Co – Researcher on the project - Dr. Keith White (Florida State University): -Analysis of pattern of COP movement, deterministic chaos, random Fractal Analysis -More finite data to analyze displacement, velocity of displacement, and directional movement

Acknowledgments Colonel R. Todd Dombroski, JIEDDO Surgeon - Loan of equipment used in this study. Delmas Bolin, MD, PhD - Contributions to study concept and design. Quinton Nottingham, PhD Suporn Sukpraprut, PhD Jarrod Harrall, DO Terence Vardy, DO Eric Johnson Mike Goforth, ATC Dave Dietter, ATC Keith Doolan, ATC P. Gunnar Brolinson, DO

Thank You

References http://www.nytimes.com/2009/12/01/sports/ncaafootball/01lasalle.html Mcrory, P et al. (2009) Consensus Statement on Concussion in Sport – The 3rd International Conference on Concussion in Sport – Zurich. PMR 1, 406-420. Randolph, C. McCrea, M., and Barr, W.B. (2005) Is neuropsychological testing useful in the management of sport-related concussion? J. Athletic Training. 40, 139-152. Guskiewicz, K.M. et al. (1997) Alternative approaches to the assessment of mild head injury in athletes. Med. Sci. Sports Exercise. 29, S213-S221. Guskiewicz, K.M. et al. (2001) Postural Stability and neuropsychological deficits after concussion in collegiate athletes. J. Athletic Training. 36, 263-273. Guskiewicz, K. M. (2001) Postural stability assessment following concussion: one piece of the puzzle. Clinical J. Sports Medicine. 11, 182-189.

References 7. Riemann, B.L. et al (1999) Relationship between clinical force plate measures of postural stability. J. Sport Rehabilitation. 8, 71-82 8. Riemann, B.L. et al (2000) Effects of mild head injury on postural stability as measured through clinical balance testing. J. Athletic Training. 35, 19-25. 9. Guskiewicz, K.M. et al (1996) Effect of mild head injury on postural stability in athletes. J. Athletic Training. 31, 300-306. 10. Hunt, T.N. Et al (2009) The Reliability of the Modified Balance Error Scoring System. Clinical Journal of Sports Medicine. 19, 471-475 11. Finnoff, J.T. et al (2009) Intrarater and interrater reliability of the Balance Error Scoring System. PMR. 1, 50-54. 12. Hokie athletics pictures courtesy of www.pbase.com/jfleming/hokie_sports