Literature DB >> 30372638

The First Decade of Web-Based Sports Injury Surveillance: Descriptive Epidemiology of Injuries in US High School Boys' Soccer (2005-2006 Through 2013-2014) and National Collegiate Athletic Association Men's Soccer (2004-2005 Through 2013-2014).

Zachary Y Kerr1,2, Margot Putukian3,4, Cindy J Chang5, Lindsay J DiStefano6, Dustin W Currie7, Lauren A Pierpoint7, Sarah B Knowles8, Erin B Wasserman9, Thomas P Dompier10, R Dawn Comstock7,11, Stephen W Marshall2,12.   

Abstract

CONTEXT:: The advent of Web-based sports injury surveillance via programs such as the High School Reporting Information Online system and the National Collegiate Athletic Association Injury Surveillance Program has aided the acquisition of boys' and men's soccer injury data.
OBJECTIVE: : To describe the epidemiology of injuries sustained in high school boys' soccer in the 2005-2006 through 2013-2014 academic years and collegiate men's soccer in the 2004-2005 through 2013-2014 academic years using Web-based sports injury surveillance.
DESIGN: : Descriptive epidemiology study.
SETTING: : Online injury surveillance from soccer teams of high school boys (annual average = 100) and collegiate men (annual average = 41). PATIENTS OR OTHER PARTICIPANTS:: Boys' or men's soccer players who participated in practices and competitions during the 2005-2006 through 2013-2014 academic years in high school and the 2004-2005 through 2013-2014 academic years in college, respectively. MAIN OUTCOME MEASURE(S):: Athletic trainers collected time-loss (≥24 hours) injury and exposure data. Injury rates per 1000 athlete-exposures (AEs), injury rate ratios (IRRs) with 95% confidence intervals (CIs), and injury proportions by body site and diagnosis were calculated.
RESULTS: : High School Reporting Information Online documented 2912 time-loss injuries during 1 592 238 AEs; the National Collegiate Athletic Association Injury Surveillance Program documented 4765 time-loss injuries during 686 918 AEs. The injury rate was higher in college than in high school (6.94 versus 1.83/1000 AEs; IRR = 3.79; 95% CI = 3.62, 3.97). Injury rates increased with smaller school size for high schools and were higher in Division I than in Divisions II and III. The injury rate was higher during competitions than during practices in both high school (IRR = 3.55; 95% CI = 3.30, 3.83) and college (IRR = 3.45; 95% CI = 3.26, 3.65). Most injuries were to the lower extremity. However, concussion was a common injury, particularly in collegiate goalkeepers and at all positions for high school players. Concussions accounted for more than one-fifth of injuries in high school games.
CONCLUSIONS: : Injury-prevention interventions should be tailored to reflect variations in the incidence and type of injury by level of competition, event type, and position.

Entities:  

Keywords:  concussions; injury prevention; student-athletes

Mesh:

Year:  2018        PMID: 30372638      PMCID: PMC6208297          DOI: 10.4085/1062-6050-166-17

Source DB:  PubMed          Journal:  J Athl Train        ISSN: 1062-6050            Impact factor:   2.860


  35 in total

1.  Health care coverage of high school athletics in South Carolina: does school size make a difference?

Authors:  P J Carek; J Dunn; A Hawkins
Journal:  J S C Med Assoc       Date:  1999-11

2.  Risk factors for injuries in football.

Authors:  Arni Arnason; Stefan B Sigurdsson; Arni Gudmundsson; Ingar Holme; Lars Engebretsen; Roald Bahr
Journal:  Am J Sports Med       Date:  2004 Jan-Feb       Impact factor: 6.202

3.  Comparison of three preventive methods in order to reduce the incidence of ankle inversion sprains among female volleyball players.

Authors:  D Stasinopoulos
Journal:  Br J Sports Med       Date:  2004-04       Impact factor: 13.800

4.  A twofold reduction in the incidence of acute ankle sprains in volleyball after the introduction of an injury prevention program: a prospective cohort study.

Authors:  R Bahr; O Lian; I A Bahr
Journal:  Scand J Med Sci Sports       Date:  1997-06       Impact factor: 4.221

5.  Previous injury as a risk factor for injury in elite football: a prospective study over two consecutive seasons.

Authors:  M Hägglund; M Waldén; J Ekstrand
Journal:  Br J Sports Med       Date:  2006-07-19       Impact factor: 13.800

Review 6.  Management and prevention of acute and chronic lateral ankle instability in athletic patient populations.

Authors:  Brendan J McCriskin; Kenneth L Cameron; Justin D Orr; Brian R Waterman
Journal:  World J Orthop       Date:  2015-03-18

7.  Analysis of Injury Rates and Treatment Patterns for Time-Loss and Non-Time-Loss Injuries Among Collegiate Student-Athletes.

Authors:  John W. Powell; Thomas P. Dompier
Journal:  J Athl Train       Date:  2004-03       Impact factor: 2.860

8.  Soccer-specific warm-up and lower extremity injury rates in collegiate male soccer players.

Authors:  Dustin R Grooms; Thomas Palmer; James A Onate; Gregory D Myer; Terry Grindstaff
Journal:  J Athl Train       Date:  2013-07-12       Impact factor: 2.860

9.  High School Football Injury Rates and Services by Athletic Trainer Employment Status.

Authors:  Zachary Y Kerr; Robert C Lynall; Timothy C Mauntel; Thomas P Dompier
Journal:  J Athl Train       Date:  2016-02-01       Impact factor: 2.860

10.  The First Decade of Web-Based Sports Injury Surveillance (2004-2005 Through 2013-2014): Methods of the National Collegiate Athletic Association Injury Surveillance Program and High School Reporting Information Online.

Authors:  Zachary Y Kerr; R Dawn Comstock; Thomas P Dompier; Stephen W Marshall
Journal:  J Athl Train       Date:  2018-08-23       Impact factor: 2.860

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  6 in total

1.  Data-Driven Risk Classification of Concussion Rates: A Systematic Review and Meta-Analysis.

Authors:  Kathryn L Van Pelt; Tim Puetz; Jennylee Swallow; Andrew P Lapointe; Steven P Broglio
Journal:  Sports Med       Date:  2021-03-15       Impact factor: 11.136

2.  Hand and wrist injuries among collegiate athletes vary with athlete division.

Authors:  Kathleen A Holoyda; Daniel P Donato; David A Magno-Padron; Andrew M Simpson; Jayant P Agarwal
Journal:  Inj Epidemiol       Date:  2021-12-14

3.  In National Collegiate Athletic Association Men's and Women's Soccer Athletes There Is a Low Rate of Lumbar Spine Injury, Women Suffer More Recurrent Injuries than Men, and Most Injuries Occur in the Preseason.

Authors:  Nicolas P Kuttner; Aaron C Llanes; Sailesh V Tummala; Joseph C Brinkman; Kade S McQuivey; Jeffrey D Hassebrock; Justin L Makovicka; Anikar Chhabra
Journal:  Arthrosc Sports Med Rehabil       Date:  2022-01-29

4.  Epidemiology of Injuries in National Collegiate Athletic Association Men's Soccer: 2014-2015 Through 2018-2019.

Authors:  Avinash Chandran; Sarah N Morris; Adrian J Boltz; Hannah J Robison; Christy L Collins
Journal:  J Athl Train       Date:  2021-07-01       Impact factor: 3.824

5.  Associations between sport participation and knee symptoms: a cross-sectional study involving 3053 undergraduate students.

Authors:  Lloyd L Y Chan; Arnold Y L Wong; Maggie H Wang
Journal:  BMC Sports Sci Med Rehabil       Date:  2020-03-23

6.  Epidemiology of NCAA Track and Field Injuries From 2010 to 2014.

Authors:  Chris Hopkins; Joel Williams; Mitchell J Rauh; Lu Zhang
Journal:  Orthop J Sports Med       Date:  2022-01-26
  6 in total

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