Literature DB >> 28490228

Concussion Mechanisms and Activities in Youth, High School, and College Football.

Robert C Lynall1, Kody R Campbell2, Erin B Wasserman3, Thomas P Dompier3, Zachary Y Kerr4.   

Abstract

Our purpose was to determine concussion mechanism and activity differences among three cohorts of football players: youth, high school, and college. Participants in this prospective cohort study were youth (ages 5-14 years, 118 teams, 310 team-seasons), high school (96 teams, 184 team-seasons), and college (34 teams, 71 team-seasons) football players. Athletic trainers collected athlete-exposure (AE) and concussion data during the 2012-2014 seasons. Injury mechanism referred to the object that made contact with the concussed player, resulting in the concussion. Injury activity referred to the type of football-specific activity that the player was involved in when the concussion was sustained. Injury proportion ratios (IPR) compared distributions of concussion mechanisms and activities among age levels. A total of 1429 concussions were reported over 1,981,284 AE across all levels (Rate: 0.72/1000AE). Overall, most concussions were caused by player contact (84.7%). During games, a greater proportion of youth football concussions (14.7%) were caused by surface contact than high school (7.3%, IPR = 2.02; 95% confidence interval [CI]: 1.10-3.72) and college (7.1%, IPR = 2.07, 95% CI: 1.02-4.23) football. Compared with college football concussions (90.2%), a smaller proportion of youth (80.0%, IPR = 0.89, 95% CI: 0.79-0.99) and high school (83.2%, IPR = 0.92, 95% CI: 0.86-0.99) football concussions were caused by player contact. A greater proportion of game youth football concussions (42.1%) occurred while an individual was being tackled than occurred in high school (23.2%, IPR = 1.81, 95% CI: 1.34-2.45) and college (23.0%, IPR = 1.83, 95% CI: 1.29-2.62) football. Findings were similar during practices. Compared with college football game concussions (15.8%), a smaller proportion of youth (6.3%, IPR = 0.40, 95% CI: 0.17-0.93) and high school (9.5%, IPR = 0.60, 95% CI: 0.38-0.95) football game concussions occurred while an individual was being blocked. Concussion mechanism and activity differences should be considered when developing concussion prevention and sport-safety methods specific to different age levels, in order to maximize effectiveness.

Entities:  

Keywords:  injury prevention; injury risk factors; mild traumatic brain injury; sports medicine

Mesh:

Year:  2017        PMID: 28490228     DOI: 10.1089/neu.2017.5032

Source DB:  PubMed          Journal:  J Neurotrauma        ISSN: 0897-7151            Impact factor:   5.269


  6 in total

Review 1.  What the research says about concussion risk factors and prevention strategies for youth sports: A scoping review of six commonly played sports.

Authors:  Dana Waltzman; Kelly Sarmiento
Journal:  J Safety Res       Date:  2018-12-12

2.  Head Impact Exposure in Youth and Collegiate American Football.

Authors:  Grace B Choi; Eric P Smith; Stefan M Duma; Steven Rowson; Eamon Campolettano; Mireille E Kelley; Derek A Jones; Joel D Stitzel; Jillian E Urban; Amaris Genemaras; Jonathan G Beckwith; Richard M Greenwald; Arthur Maerlender; Joseph J Crisco
Journal:  Ann Biomed Eng       Date:  2022-05-04       Impact factor: 3.934

3.  Head Games: A Systematic Review and Meta-analysis Examining Concussion and Head Impact Incidence Rates, Modifiable Risk Factors, and Prevention Strategies in Youth Tackle Football.

Authors:  Mark Patrick Pankow; R A Syrydiuk; A T Kolstad; A K Hayden; C R Dennison; M Mrazik; B E Hagel; C A Emery
Journal:  Sports Med       Date:  2021-12-11       Impact factor: 11.928

4.  Physical Conditioning Strategies for the Prevention of Concussion in Sport: a Scoping Review.

Authors:  Daniel Garnett; Jon Patricios; Saul Cobbing
Journal:  Sports Med Open       Date:  2021-05-17

5.  Differences in Head Impact Exposures Between Youth Tackle and Flag Football Games and Practices: Potential Implications for Prevention Strategies.

Authors:  Kelly Sarmiento; Dana Waltzman; Owen Devine; Xinjian Zhang; Lara DePadilla; Marcie-Jo Kresnow; Kelley Borradaile; Andrew Hurwitz; David Jones; Ravi Goyal; Matthew J Breiding
Journal:  Am J Sports Med       Date:  2021-05-17       Impact factor: 7.010

6.  Head Impact Telemetry System's Video-based Impact Detection and Location Accuracy.

Authors:  Kody R Campbell; Stephen W Marshall; Jason F Luck; Gianmarco F Pinton; Joel D Stitzel; Joshua S Boone; Kevin M Guskiewicz; Jason P Mihalik
Journal:  Med Sci Sports Exerc       Date:  2020-10
  6 in total

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