Head impacts in a junior rugby league team measured with a wireless head impact sensor: an exploratory analysis.

OBJECTIVE The aim of this study was to investigate the frequency, magnitude, and distribution of head impacts sustained by players in a junior rugby league over a season of matches. METHODS The authors performed a prospective cohort analysis of impact magnitude, frequency, and distribution on data collected with instrumented XPatches worn behind the ear of players in an "under-11" junior rugby league team (players under 11 years old). RESULTS A total of 1977 impacts were recorded. Over the course of the study, players sustained an average of 116 impacts (average of 13 impacts per player per match). The measured linear acceleration ranged from 10g to 123g (mean 22g, median 16g, and 95th percentile 57g). The rotational acceleration ranged from 89 rad/sec2 to 22,928 rad/sec2 (mean 4041 rad/sec2, median 2773 rad/sec2, and 95th percentile 11,384 rad/sec2). CONCLUSIONS The level of impact severity based on the magnitude of impacts for linear and rotational accelerations recorded was similar to the impacts reported in studies of American junior and high school football, collegiate football, and youth ice hockey players, but the players in the rugby league cohort were younger, had less body mass, and played at a slower speed than the American players. Junior rugby league players are required to tackle the player to the ground and use a different tackle technique than that used in American football, likely increasing the rotational accelerations recorded at the head.

[1]  I. Selesnick,et al.  Objectifying eye movements during rapid number naming: Methodology for assessment of normative data for the King–Devick test , 2016, Journal of the Neurological Sciences.

[2]  Conor Gissane,et al.  Similar head impact acceleration measured using instrumented ear patches in a junior rugby union team during matches in comparison with other sports. , 2016, Journal of neurosurgery. Pediatrics.

[3]  C. Gissane,et al.  Use of the King–Devick test for sideline concussion screening in junior rugby league , 2015, Journal of the Neurological Sciences.

[4]  D. Zideman,et al.  The IOC Manual of Emergency Sports Medicine , 2015 .

[5]  L. Micheli,et al.  Emergency Care of the Adolescent Athlete , 2015 .

[6]  David B. Camarillo,et al.  In Vivo Evaluation of Wearable Head Impact Sensors , 2015, Annals of Biomedical Engineering.

[7]  Doug King,et al.  Instrumented Mouthguard Acceleration Analyses for Head Impacts in Amateur Rugby Union Players Over a Season of Matches , 2015, The American journal of sports medicine.

[8]  Tim J. Gabbett,et al.  Understanding mismatches in body size, speed and power among adolescent rugby union players. , 2014, Journal of science and medicine in sport.

[9]  Stefan M Duma,et al.  Head Impact Exposure in Youth Football: Elementary School Ages 7-8 Years and the Effect of Returning Players , 2014, Clinical journal of sport medicine : official journal of the Canadian Academy of Sport Medicine.

[10]  Steven Rowson,et al.  Head impact exposure in youth football: middle school ages 12-14 years. , 2014, Journal of biomechanical engineering.

[11]  Julian E. Bailes,et al.  Frequency, magnitude, and distribution of head impacts in Pop Warner football: The cumulative burden , 2014, Clinical Neurology and Neurosurgery.

[12]  S. Galetta,et al.  The King-Devick test as a concussion screening tool administered by sports parents. , 2014, The Journal of sports medicine and physical fitness.

[13]  Michael F. Bergeron,et al.  Comparison and utility of King-Devick and ImPACT® composite scores in adolescent concussion patients , 2013, Journal of the Neurological Sciences.

[14]  K. Guskiewicz,et al.  The Effect of Visual and Sensory Performance on Head Impact Biomechanics in College Football Players , 2013, Annals of Biomedical Engineering.

[15]  J. Maldjian,et al.  Head Impact Exposure in Youth Football: Elementary School Ages 9–12 Years and the Effect of Practice Structure , 2013, Annals of Biomedical Engineering.

[16]  J. Maldjian,et al.  Head Impact Exposure in Youth Football: High School Ages 14 to 18 Years and Cumulative Impact Analysis , 2013, Annals of Biomedical Engineering.

[17]  S. Galetta,et al.  Saccades and memory: Baseline associations of the King–Devick and SCAT2 SAC tests in professional ice hockey players , 2013, Journal of the Neurological Sciences.

[18]  C. Gissane,et al.  Use of a rapid visual screening tool for the assessment of concussion in amateur rugby league: A pilot study , 2012, Journal of the Neurological Sciences.

[19]  C. Smith Diagnostic tests (1) – sensitivity and specificity , 2012, Phlebology.

[20]  C. Bir,et al.  Real-time head acceleration measurement in girls' youth soccer. , 2012, Medicine and science in sports and exercise.

[21]  Stefan M. Duma,et al.  Head Impact Exposure in Youth Football , 2012, Annals of Biomedical Engineering.

[22]  J. Crisco,et al.  Rotational Head Kinematics in Football Impacts: An Injury Risk Function for Concussion , 2011, Annals of Biomedical Engineering.

[23]  Steven P Broglio,et al.  Post-concussion cognitive declines and symptomatology are not related to concussion biomechanics in high school football players. , 2011, Journal of neurotrauma.

[24]  Laura J. Balcer,et al.  The King–Devick test and sports-related concussion: Study of a rapid visual screening tool in a collegiate cohort , 2011, Journal of the Neurological Sciences.

[25]  Bethany J. Wilcox,et al.  Head impact exposure in collegiate football players. , 2011, Journal of biomechanics.

[26]  Scott C. Trulock,et al.  The Effect of Play Type and Collision Closing Distance on Head Impact Biomechanics , 2011, Annals of Biomedical Engineering.

[27]  Steven P Broglio,et al.  Cumulative head impact burden in high school football. , 2011, Journal of neurotrauma.

[28]  Stefan M. Duma,et al.  Development of the STAR Evaluation System for Football Helmets: Integrating Player Head Impact Exposure and Risk of Concussion , 2011, Annals of Biomedical Engineering.

[29]  C C Branas,et al.  The King-Devick test as a determinant of head trauma and concussion in boxers and MMA fighters , 2011, Neurology.

[30]  J. Crisco,et al.  Frequency and location of head impact exposures in individual collegiate football players. , 2010, Journal of athletic training.

[31]  J. Sosnoff,et al.  Biomechanical properties of concussions in high school football. , 2010, Medicine and science in sports and exercise.

[32]  S. Marshall,et al.  Collision Type and Player Anticipation Affect Head Impact Severity Among Youth Ice Hockey Players , 2010, Pediatrics.

[33]  Steven P Broglio,et al.  Head impacts during high school football: a biomechanical assessment. , 2009, Journal of athletic training.

[34]  Tim Gabbett,et al.  A comparison of fitness and skill among playing positions in sub-elite rugby league players. , 2008, Journal of science and medicine in sport.

[35]  Joseph T. Gwin,et al.  HEAD IMPACT SEVERITY MEASURES FOR EVALUATING MILD TRAUMATIC BRAIN INJURY RISK EXPOSURE , 2008, Neurosurgery.

[36]  Jason P Mihalik,et al.  MEASUREMENT OF HEAD IMPACTS IN COLLEGIATE FOOTBALL PLAYERS: AN INVESTIGATION OF POSITIONAL AND EVENT‐TYPE DIFFERENCES , 2007, Neurosurgery.

[37]  S. Marshall,et al.  MEASUREMENT OF HEAD IMPACTS IN COLLEGIATE FOOTBALL PLAYERS: RELATIONSHIP BETWEEN HEAD IMPACT BIOMECHANICS AND ACUTE CLINICAL OUTCOME AFTER CONCUSSION , 2007, Neurosurgery.

[38]  Stephen W Marshall,et al.  Risk Factors and Risk Statistics for Sports Injuries , 2007, Clinical journal of sport medicine : official journal of the Canadian Academy of Sport Medicine.

[39]  Joseph J Crisco,et al.  An algorithm for estimating acceleration magnitude and impact location using multiple nonorthogonal single-axis accelerometers. , 2004, Journal of biomechanical engineering.

[40]  A. Gordon Concussion in professional football: reconstruction of game impacts and injuries. , 2004, Neurosurgery.

[41]  Werner Goldsmith,et al.  A Biomechanical Analysis of the Causes of Traumatic Brain Injury in Infants and Children , 2004, The American journal of forensic medicine and pathology.

[42]  King H. Yang,et al.  A proposed injury threshold for mild traumatic brain injury. , 2004, Journal of biomechanical engineering.

[43]  M. Field,et al.  Does age play a role in recovery from sports-related concussion? A comparison of high school and collegiate athletes. , 2003, The Journal of pediatrics.

[44]  Ravi S. Menon,et al.  Preparatory set associated with pro-saccades and anti-saccades in humans investigated with event-related FMRI. , 2003, Journal of neurophysiology.

[45]  W Goldsmith,et al.  Biomechanics and neuropathology of adult and paediatric head injury , 2002, British journal of neurosurgery.

[46]  J. R. Landis,et al.  The measurement of observer agreement for categorical data. , 1977, Biometrics.

[47]  Lloyd V. Smith,et al.  Laboratory Evaluation of Wireless Head Impact Sensor , 2015 .

[48]  J. Ashton-Miller,et al.  High School and Collegiate Football Athlete Concussions: A Biomechanical Review , 2011, Annals of Biomedical Engineering.

[49]  William P Meehan,et al.  The pediatric athlete: younger athletes with sport-related concussion. , 2011, Clinics in sports medicine.

[50]  S. Marshall,et al.  Progressive statistics for studies in sports medicine and exercise science. , 2009, Medicine and science in sports and exercise.