Literature DB >> 26067620

The National Athletic Treatment, Injury and Outcomes Network (NATION): Methods of the Surveillance Program, 2011-2012 Through 2013-2014.

Thomas P Dompier1, Stephen W Marshall2, Zachary Y Kerr1, Ross Hayden1.   

Abstract

CONTEXT: Previous epidemiologic researchers have examined time-loss (TL) injuries in high school student-athletes, but little is known about the frequency of non-time-loss (NTL) injuries in these athletes.
OBJECTIVE: To describe the methods of the National Athletic Treatment, Injury and Outcomes Network (NATION) Surveillance Program and provide descriptive epidemiology of TL and NTL injuries across athletes in 27 high school sports.
DESIGN: Descriptive epidemiology study.
SETTING: Aggregate injury and exposure data collected from 147 high schools in 26 states. PATIENTS OR OTHER PARTICIPANTS: High school student-athletes participating in 13 boys' sports and 14 girls' sports during the 2011-2012 through 2013-2014 academic years. MAIN OUTCOME MEASURE(S): Athletic trainers documented injuries and exposures using commercially available injury-tracking software packages. Standard injury-tracking software was modified by the software vendors to conform to the surveillance needs of this project. The modified software exported a set of common data elements, stripped of personally identifiable information, to a centralized automated verification and validation system before they were included in the centralized research database. Dependent measures were injury and exposure frequencies and injury rates with 95% confidence intervals stratified by sport, sex, and injury type (TL or NTL).
RESULTS: Over the 3-year period, a total of 2337 team seasons across 27 sports resulted in 47 014 injuries and 5 146 355 athlete-exposures. The NTL injuries accounted for 38 765 (82.45%) and TL injuries for 8249 (17.55%) of the total.
CONCLUSIONS: The NTL injuries accounted for a substantial amount of the total number of injuries sustained by high school student-athletes. This project demonstrates the feasibility of creating large-scale injury surveillance systems using commercially available injury-tracking software.

Entities:  

Keywords:  incidence; injury epidemiology; injury surveillance; sport

Mesh:

Year:  2015        PMID: 26067620      PMCID: PMC4629944          DOI: 10.4085/1062-6050-50.5.04

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


  17 in total

1.  Traumatic brain injury--football, warfare, and long-term effects.

Authors:  Steven T DeKosky; Milos D Ikonomovic; Sam Gandy
Journal:  N Engl J Med       Date:  2010-09-22       Impact factor: 91.245

2.  National Collegiate Athletic Association Injury Surveillance System commentaries: introduction and methods.

Authors:  Randall Dick; Julie Agel; Stephen W Marshall
Journal:  J Athl Train       Date:  2007 Apr-Jun       Impact factor: 2.860

3.  Epidemiology of exertional heat illness among U.S. high school athletes.

Authors:  Zachary Y Kerr; Douglas J Casa; Stephen W Marshall; R Dawn Comstock
Journal:  Am J Prev Med       Date:  2013-01       Impact factor: 5.043

Review 4.  Overuse injuries and burnout in youth sports: a position statement from the American Medical Society for Sports Medicine.

Authors:  John P DiFiori; Holly J Benjamin; Joel S Brenner; Andrew Gregory; Neeru Jayanthi; Greg L Landry; Anthony Luke
Journal:  Br J Sports Med       Date:  2014-02       Impact factor: 13.800

Review 5.  National collegiate athletic association injury surveillance system: review of methods for 2004-2005 through 2013-2014 data collection.

Authors:  Zachary Y Kerr; Thomas P Dompier; Erin M Snook; Stephen W Marshall; David Klossner; Brian Hainline; Jill Corlette
Journal:  J Athl Train       Date:  2014-05-28       Impact factor: 2.860

Review 6.  Men and health help-seeking behaviour: literature review.

Authors:  Paul M Galdas; Francine Cheater; Paul Marshall
Journal:  J Adv Nurs       Date:  2005-03       Impact factor: 3.187

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.  Epidemiology of severe injuries among United States high school athletes: 2005-2007.

Authors:  Cory J Darrow; Christy L Collins; Ellen E Yard; R Dawn Comstock
Journal:  Am J Sports Med       Date:  2009-06-16       Impact factor: 6.202

Review 9.  Definition and usage of the term "overuse injury" in the US high school and collegiate sport epidemiology literature: a systematic review.

Authors:  Karen G Roos; Stephen W Marshall
Journal:  Sports Med       Date:  2014-03       Impact factor: 11.136

10.  Time-loss and non-time-loss injuries in youth football players.

Authors:  Thomas P Dompier; John W Powell; Mary J Barron; Marguerite T Moore
Journal:  J Athl Train       Date:  2007 Jul-Sep       Impact factor: 2.860

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  37 in total

1.  Comment on: "Incidence, Severity, Aetiology and Prevention of Sports Injuries: A Review of Concepts".

Authors:  Avinash Chandran; Aliza K Nedimyer; Johna K Register-Mihalik; Loretta DiPietro; Zachary Y Kerr
Journal:  Sports Med       Date:  2019-10       Impact factor: 11.136

2.  The Intersection of Athletic Training and Public Health.

Authors:  Mark A Hoffman; Samuel T Johnson; Marc F Norcross
Journal:  J Athl Train       Date:  2019-02       Impact factor: 2.860

3.  Lower Extremity Musculoskeletal Injury Risk After Concussion Recovery in High School Athletes.

Authors:  Robert C Lynall; Timothy C Mauntel; Ryan T Pohlig; Zachary Y Kerr; Thomas P Dompier; Eric E Hall; Thomas A Buckley
Journal:  J Athl Train       Date:  2017-11-15       Impact factor: 2.860

4.  Spotlight on Athletic Training Practice-Based Research Networks: A Celebration and a Challenge.

Authors:  Todd A Evans
Journal:  J Athl Train       Date:  2016-06-02       Impact factor: 2.860

5.  The Epidemiology of Overuse Conditions in Youth Football and High School Football Players.

Authors:  Kevin Morris; Janet E Simon; Dustin R Grooms; Chad Starkey; Thomas P Dompier; Zachary Y Kerr
Journal:  J Athl Train       Date:  2017-09-26       Impact factor: 2.860

6.  Statistical Methods for Handling Observation Clustering in Sports Injury Surveillance.

Authors:  Avinash Chandran; Derek Brown; Aliza K Nedimyer; Zachary Y Kerr
Journal:  J Athl Train       Date:  2019-09-25       Impact factor: 2.860

7.  Non-Time-Loss and Time-Loss Softball Injuries in Secondary School Athletes: A Report From the National Athletic Treatment, Injury and Outcomes Network (NATION).

Authors:  Alison R Snyder Valier; Kellie C Huxel Bliven; Amy Gibson; Janet Simon; Thomas P Dompier; Erin B Wasserman; Kelsi L Rynard; Zachary Y Kerr
Journal:  J Athl Train       Date:  2020-01-08       Impact factor: 2.860

8.  Athletic Training Service Characteristics for Patients With Ankle Sprains Sustained During High School Athletics.

Authors:  Janet E Simon; Erik A Wikstrom; Dustin R Grooms; Carrie L Docherty; Thomas P Dompier; Zachary Y Kerr
Journal:  J Athl Train       Date:  2018-01-26       Impact factor: 2.860

9.  Epidemiologic Measures for Quantifying the Incidence of Concussion in National Collegiate Athletic Association Sports.

Authors:  Zachary Y Kerr; Karen G Roos; Aristarque Djoko; Sara L Dalton; Steven P Broglio; Stephen W Marshall; Thomas P Dompier
Journal:  J Athl Train       Date:  2016-06-22       Impact factor: 2.860

10.  Examining Play Counts and Measurements of Injury Incidence in Youth Football.

Authors:  Zachary Y Kerr; Susan W Yeargin; Aristarque Djoko; Sara L Dalton; Melissa M Baker; Thomas P Dompier
Journal:  J Athl Train       Date:  2017-09-07       Impact factor: 2.860

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