Literature DB >> 23135363

Head impact exposure sustained by football players on days of diagnosed concussion.

Jonathan G Beckwith1, Richard M Greenwald, Jeffrey J Chu, Joseph J Crisco, Steven Rowson, Stefan M Duma, Steven P Broglio, Thomas W McAllister, Kevin M Guskiewicz, Jason P Mihalik, Scott Anderson, Brock Schnebel, P Gunnar Brolinson, Michael W Collins.   

Abstract

PURPOSE: This study compares the frequency and severity of head impacts sustained by football players on days with and without diagnosed concussion and to identify the sensitivity and specificity of single-impact severity measures to diagnosed injury.
METHODS: One thousand two hundred eight players from eight collegiate football teams and six high school football teams wore instrumented helmets to measure head impacts during all team sessions, of which 95 players were diagnosed with concussion. Eight players sustained two injuries and one sustained three, providing 105 injury cases. Measures of head kinematics (peak linear and rotational acceleration, Gadd severity index, head injury criteria (HIC15), and change in head velocity (Δv)) and the number of head impacts sustained by individual players were compared between days with and without diagnosed concussion. Receiver operating characteristic curves were generated to evaluate the sensitivity and specificity of each kinematic measure to diagnosed concussion using only those impacts that directly preceded diagnosis.
RESULTS: Players sustained a higher frequency of impacts and impacts with more severe kinematic properties on days of diagnosed concussion than on days without diagnosed concussion. Forty-five injury cases were immediately diagnosed after head impact. For these cases, peak linear acceleration and HIC15 were most sensitive to immediately diagnosed concussion (area under the curve = 0.983). Peak rotational acceleration was less sensitive to diagnosed injury than all other kinematic measures (P = 0.01), which are derived from linear acceleration (peak linear, HIC15, Gadd severity index, and Δv).
CONCLUSIONS: Players sustained more impacts and impacts of higher severity on days of diagnosed concussion than on days without diagnosed concussion. In addition, of historical measures of impact severity, those associated with peak linear acceleration are the best predictors of immediately diagnosed concussion.

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Year:  2013        PMID: 23135363      PMCID: PMC3605215          DOI: 10.1249/MSS.0b013e3182792ed7

Source DB:  PubMed          Journal:  Med Sci Sports Exerc        ISSN: 0195-9131            Impact factor:   5.411


  38 in total

1.  Epidemiology of concussion in collegiate and high school football players.

Authors:  K M Guskiewicz; N L Weaver; D A Padua; W E Garrett
Journal:  Am J Sports Med       Date:  2000 Sep-Oct       Impact factor: 6.202

2.  Concussion in professional football: reconstruction of game impacts and injuries.

Authors:  Elliot J Pellman; David C Viano; Andrew M Tucker; Ira R Casson; Joe F Waeckerle
Journal:  Neurosurgery       Date:  2003-10       Impact factor: 4.654

3.  The effect of gender and body size on linear accelerations of the head observed during daily activities.

Authors:  Tracy P Ng; William R Bussone; Stefan M Duma
Journal:  Biomed Sci Instrum       Date:  2006

4.  In vivo study of head impacts in football: a comparison of National Collegiate Athletic Association Division I versus high school impacts.

Authors:  Brock Schnebel; Joseph T Gwin; Scott Anderson; Ron Gatlin
Journal:  Neurosurgery       Date:  2007-03       Impact factor: 4.654

5.  Descriptive epidemiology of collegiate men's football injuries: National Collegiate Athletic Association Injury Surveillance System, 1988-1989 through 2003-2004.

Authors:  Randall Dick; Michael S Ferrara; Julie Agel; Ron Courson; Stephen W Marshall; Michael J Hanley; Fred Reifsteck
Journal:  J Athl Train       Date:  2007 Apr-Jun       Impact factor: 2.860

6.  Measurement of head impacts in collegiate football players: an investigation of positional and event-type differences.

Authors:  Jason P Mihalik; David R Bell; Stephen W Marshall; Kevin M Guskiewicz
Journal:  Neurosurgery       Date:  2007-12       Impact factor: 4.654

7.  Measurement of head impacts in collegiate football players: relationship between head impact biomechanics and acute clinical outcome after concussion.

Authors:  Kevin M Guskiewicz; Jason P Mihalik; Viswanathan Shankar; Stephen W Marshall; Dean H Crowell; Scott M Oliaro; Mario F Ciocca; Daniel N Hooker
Journal:  Neurosurgery       Date:  2007-12       Impact factor: 4.654

8.  Head impact severity measures for evaluating mild traumatic brain injury risk exposure.

Authors:  Richard M Greenwald; Joseph T Gwin; Jeffrey J Chu; Joseph J Crisco
Journal:  Neurosurgery       Date:  2008-04       Impact factor: 4.654

9.  Functionally-detected cognitive impairment in high school football players without clinically-diagnosed concussion.

Authors:  Thomas M Talavage; Eric A Nauman; Evan L Breedlove; Umit Yoruk; Anne E Dye; Katherine E Morigaki; Henry Feuer; Larry J Leverenz
Journal:  J Neurotrauma       Date:  2013-04-11       Impact factor: 5.269

10.  Recurrent concussion and risk of depression in retired professional football players.

Authors:  Kevin M Guskiewicz; Stephen W Marshall; Julian Bailes; Michael McCrea; Herndon P Harding; Amy Matthews; Johna Register Mihalik; Robert C Cantu
Journal:  Med Sci Sports Exerc       Date:  2007-06       Impact factor: 5.411

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  50 in total

Review 1.  The Influence of Head Impact Threshold for Reporting Data in Contact and Collision Sports: Systematic Review and Original Data Analysis.

Authors:  D King; P Hume; C Gissane; M Brughelli; T Clark
Journal:  Sports Med       Date:  2016-02       Impact factor: 11.136

2.  A network-based response feature matrix as a brain injury metric.

Authors:  Shaoju Wu; Wei Zhao; Bethany Rowson; Steven Rowson; Songbai Ji
Journal:  Biomech Model Mechanobiol       Date:  2019-11-23

Review 3.  Assessment, management and knowledge of sport-related concussion: systematic review.

Authors:  Doug King; Matt Brughelli; Patria Hume; Conor Gissane
Journal:  Sports Med       Date:  2014-04       Impact factor: 11.136

Review 4.  Head-Impact-Measurement Devices: A Systematic Review.

Authors:  Kathryn L O'Connor; Steven Rowson; Stefan M Duma; Steven P Broglio
Journal:  J Athl Train       Date:  2017-03       Impact factor: 2.860

5.  Head Impact Density: A Model To Explain the Elusive Concussion Threshold.

Authors:  Steven P Broglio; Andrew Lapointe; Kathryn L O'Connor; Michael McCrea
Journal:  J Neurotrauma       Date:  2017-05-24       Impact factor: 5.269

Review 6.  Long-Term Cognitive and Neuropsychiatric Consequences of Repetitive Concussion and Head-Impact Exposure.

Authors:  Thomas McAllister; Michael McCrea
Journal:  J Athl Train       Date:  2017-03       Impact factor: 2.860

7.  Group-wise evaluation and comparison of white matter fiber strain and maximum principal strain in sports-related concussion.

Authors:  Songbai Ji; Wei Zhao; James C Ford; Jonathan G Beckwith; Richard P Bolander; Richard M Greenwald; Laura A Flashman; Keith D Paulsen; Thomas W McAllister
Journal:  J Neurotrauma       Date:  2015-02-06       Impact factor: 5.269

8.  Head-impact mechanisms in men's and women's collegiate ice hockey.

Authors:  Bethany J Wilcox; Jason T Machan; Jonathan G Beckwith; Richard M Greenwald; Emily Burmeister; Joseph J Crisco
Journal:  J Athl Train       Date:  2014-08-06       Impact factor: 2.860

9.  Head impact exposure in male and female collegiate ice hockey players.

Authors:  Bethany J Wilcox; Jonathan G Beckwith; Richard M Greenwald; Jeffrey J Chu; Thomas W McAllister; Laura A Flashman; Arthur C Maerlender; Ann-Christine Duhaime; Joseph J Crisco
Journal:  J Biomech       Date:  2013-10-23       Impact factor: 2.712

10.  Biomechanics of head impacts associated with diagnosed concussion in female collegiate ice hockey players.

Authors:  Bethany J Wilcox; Jonathan G Beckwith; Richard M Greenwald; Neha P Raukar; Jeffrey J Chu; Thomas W McAllister; Laura A Flashman; Arthur C Maerlender; Ann-Christine Duhaime; Joseph J Crisco
Journal:  J Biomech       Date:  2015-04-15       Impact factor: 2.712

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