Literature DB >> 28358221

Descriptive Epidemiology of Non-Time-Loss Injuries in Collegiate and High School Student-Athletes.

Zachary Y Kerr1, Robert C Lynall2, Karen G Roos3, Sara L Dalton3, Aristarque Djoko3, Thomas P Dompier3.   

Abstract

CONTEXT: Research on non-time-loss (NTL) injuries, which result in less than 24 hours of restriction from participation, is limited.
OBJECTIVE: To describe the epidemiology of NTL injuries among collegiate and high school student-athletes.
DESIGN: Descriptive epidemiology study.
SETTING: Aggregate injury and exposure data collected from a convenience sample of National College Athletic Association varsity teams and 147 high schools in 26 states. PATIENTS OR OTHER PARTICIPANTS: Collegiate and high school student-athletes participating in men's and boys' baseball, basketball, football, lacrosse, soccer, and wrestling and women's and girls' basketball, field hockey, lacrosse, soccer, softball, and volleyball during the 2009-2010 through 2013-2014 and the 2011-2012 through 2013-2014 academic years, respectively, participated. Collegiate student-athletes participating in men's and women's ice hockey were also included. MAIN OUTCOME MEASURE(S): Injury data from the National Collegiate Athletic Association Injury Surveillance Program and the National Athletic Treatment, Injury and Outcomes Network were analyzed. Injury counts, rates per 1000 athlete-exposures (AEs), and rate ratios were reported with 95% confidence intervals (CIs).
RESULTS: A total of 11 899 and 30 122 NTL injuries were reported in collegiate and high school student-athletes, respectively. The proportion of NTL injuries in high school student-athletes (80.3%) was 1.61 times greater than that of collegiate student-athletes (49.9%; 95% CI = 1.59, 1.63). The NTL injury rate in high school student-athletes (8.75/1000 athlete-exposures [AEs]) was 2.18 times greater than that of collegiate student-athletes (4.02/1000 AEs; 95% CI = 2.13, 2.22). Men's ice hockey (5.27/1000 AEs) and boys' football (11.94/1000 AEs) had the highest NTL injury rates among collegiate and high school athletes, respectively. Commonly injured body parts in collegiate and high school student-athletes were the hip/thigh/upper leg (17.5%) and hand/wrist (18.2%), respectively. At both levels, contusions, sprains, and strains were the most frequent diagnoses. Contact with another player was the most cited injury mechanism (college = 38.0%, high school = 46.3%).
CONCLUSIONS: Non-time-loss injuries compose large proportions of collegiate and high school sports injuries. However, the NTL injury rate was higher in high school than in collegiate student-athletes. Tracking NTL injuries will help to better describe the breadth of injuries sustained by athletes and managed by athletic trainers.

Entities:  

Keywords:  injury incidence; injury surveillance; sports

Mesh:

Year:  2017        PMID: 28358221      PMCID: PMC5455248          DOI: 10.4085/1062-6050-52.2.15

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


  42 in total

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

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

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

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

Review 3.  Epidemiology of collegiate injuries for 15 sports: summary and recommendations for injury prevention initiatives.

Authors:  Jennifer M Hootman; Randall Dick; Julie Agel
Journal:  J Athl Train       Date:  2007 Apr-Jun       Impact factor: 2.860

4.  Descriptive epidemiology of collegiate women's ice hockey injuries: National Collegiate Athletic Association Injury Surveillance System, 2000-2001 through 2003-2004.

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

5.  Epidemiology of U.S. high school sports-related ligamentous ankle injuries, 2005/06-2010/11.

Authors:  David M Swenson; Christy L Collins; Sarah K Fields; R Dawn Comstock
Journal:  Clin J Sport Med       Date:  2013-05       Impact factor: 3.638

6.  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

7.  The Oslo Sports Trauma Research Center questionnaire on health problems: a new approach to prospective monitoring of illness and injury in elite athletes.

Authors:  Benjamin Clarsen; Ola Rønsen; Grethe Myklebust; Tonje Wåle Flørenes; Roald Bahr
Journal:  Br J Sports Med       Date:  2013-02-21       Impact factor: 13.800

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

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.  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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  10 in total

1.  Sports Medicine Staffing Patterns and Incidence of Injury in Collegiate Men's Ice Hockey.

Authors:  Christine M Baugh; Zachary Y Kerr; Emily Kroshus; Bailey L Lanser; Tory R Lindley; William P Meehan
Journal:  J Athl Train       Date:  2020-06-23       Impact factor: 2.860

2.  Sport Specialization and Increased Injury Frequency in Youth Baseball Players: A Prospective Study.

Authors:  Amanda J Arnold; Charles A Thigpen; Paul F Beattie; Michael J Kissenberth; John M Tokish; Ellen Shanley
Journal:  J Athl Train       Date:  2019-10       Impact factor: 2.860

3.  Epidemiology of Cervical Muscle Strains in Collegiate and High School Football Athletes, 2011-2012 Through 2013-2014 Academic Years.

Authors:  Katherine M Lee; Melissa C Kay; Kristen L Kucera; William E Prentice; Zachary Y Kerr
Journal:  J Athl Train       Date:  2019-07-23       Impact factor: 2.860

4.  THE RELATIONSHIP BETWEEN PITCHING VOLUME AND ARM SORENESS IN COLLEGIATE BASEBALL PITCHERS.

Authors:  Angel L Lazu; Shawn D Love; Timothy A Butterfield; Robert English; Tim L Uhl
Journal:  Int J Sports Phys Ther       Date:  2019-02

5.  History of opioid use as a risk factor for current use and mental health consequences among retired National Football League athletes: A 9-year follow-up investigation.

Authors:  Zachary L Mannes; Eugene M Dunne; Erin G Ferguson; Linda B Cottler; Nicole Ennis
Journal:  Drug Alcohol Depend       Date:  2020-08-28       Impact factor: 4.492

6.  Preseason Neck Mobility Is Associated With Throwing-Related Shoulder and Elbow Injuries, Pain, and Disability in College Baseball Pitchers.

Authors:  Laurie Lee Devaney; Craig R Denegar; Charles A Thigpen; Adam S Lepley; Cory Edgar; Lindsay J DiStefano
Journal:  Orthop J Sports Med       Date:  2020-05-18

7.  Hand and Wrist Injuries Among Collegiate Athletes: The Role of Sex and Competition on Injury Rates and Severity.

Authors:  Andrew M Simpson; Daniel P Donato; Jacob Veith; David Magno-Padron; Jayant P Agarwal
Journal:  Orthop J Sports Med       Date:  2020-12-15

8.  Epidemiology of Lower Leg Soft Tissue Injuries in High School Athletes.

Authors:  Michael J Spitnale; Candler G Mathews; Allen J Barnes; Zachary T Thier; J Benjamin Jackson
Journal:  Foot Ankle Orthop       Date:  2022-01-11

9.  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

10.  Kinect and Few-Shot Technology-Based Simulation of Physical Fitness and Health Training Model for Basketball Players in Plateau Area.

Authors:  Xijun Hong
Journal:  Comput Intell Neurosci       Date:  2022-04-11
  10 in total

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