Literature DB >> 26871990

The Effect of Head Impact Location on Day of Diagnosed Concussion in College Football.

Steven Liao1, Robert C Lynall, Jason P Mihalik.   

Abstract

INTRODUCTION: Scientists and clinicians have attempted to identify and understand biomechanical factors that influence concussion likelihood. The effect of impact frequency to a given head location before the concussion has not been evaluated. The purpose of this study was to compare the frequency of impacts to a given head location on days of diagnosed concussion to the frequency of impacts to a given head location before kinematically matched nonconcussive impacts.
METHODS: Head impact data were gathered from 33 Division I National Collegiate Athletic Association football players. Twenty-four concussions were identified and matched with impacts of similar kinematic and injury criterion values (linear acceleration, rotational acceleration, Gadd severity index, and head injury criterion) that occurred during the same event type (game, practice, or scrimmage). In addition, these same matching criteria were used to match all players to the closest kinematic/same player group. All impacts within a session before the impact of interest (concussive or matched impact) were analyzed.
RESULTS: On days of diagnosed concussion, the concussive group sustained a lower percentage of impacts to the front of the head (34.5%) and a greater frequency of impacts to the sides (19.6%) and top (18.9%) of the head (χ(3) = 10.23, P = 0.017) as compared with the matched nonconcussive group (front = 42.5%, sides = 16.6%, top = 14.0%). No significant difference in frequency was found in impacts to the back of the head.
CONCLUSION: It may be more difficult to mitigate concussive forces sustained in impacts to the top and sides of the head than the front of the head. These findings fall in line with previous research demonstrating that reduced impact magnitudes may lessen concussion risk. Studying appropriate training paradigms to develop safer playing techniques on the field is warranted.

Entities:  

Mesh:

Year:  2016        PMID: 26871990     DOI: 10.1249/MSS.0000000000000896

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


  4 in total

Review 1.  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

2.  Head impact exposure measured in a single youth football team during practice drills.

Authors:  Mireille E Kelley; Joeline M Kane; Mark A Espeland; Logan E Miller; Alexander K Powers; Joel D Stitzel; Jillian E Urban
Journal:  J Neurosurg Pediatr       Date:  2017-09-12       Impact factor: 2.375

3.  Head Impact Research Using Inertial Sensors in Sport: A Systematic Review of Methods, Demographics, and Factors Contributing to Exposure.

Authors:  Enora Le Flao; Gunter P Siegmund; Robert Borotkanics
Journal:  Sports Med       Date:  2021-10-22       Impact factor: 11.136

4.  Observable player behaviours and playing performance following helmet strikes in elite cricket.

Authors:  Patrick O'Halloran; Luke Goggins; Nicholas Peirce
Journal:  BMJ Open Sport Exerc Med       Date:  2021-12-06
  4 in total

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