Erin B Wasserman1, Eric L Sauers2, Johna K Register-Mihalik3,4, Lauren A Pierpoint5, Dustin W Currie5, Sarah B Knowles6, Thomas P Dompier7, R Dawn Comstock5,8, Stephen W Marshall4,9, Zachary Y Kerr3,4. 1. Datalys Center for Sports Injury Research and Prevention, Indianapolis, IN. 2. Athletic Training Program, Department of Interdisciplinary Health Sciences, Arizona School of Health Sciences, A.T. Still University, Mesa. 3. Department of Exercise and Sport Science, Colorado School of Public Health, University of Colorado Anschutz, Aurora. 4. Injury Prevention Research Center, Colorado School of Public Health, University of Colorado Anschutz, Aurora. 5. Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz, Aurora. 6. Palo Alto Medical Foundation Research Institute, CA. 7. Lebanon Valley College, Annville, PA. 8. Department of Pediatrics, University of Colorado School of Medicine, Aurora. 9. Department of Epidemiology, University of North Carolina at Chapel Hill.
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 baseball injury data. OBJECTIVE: To describe the epidemiology of injuries sustained in high school boys' baseball in the 2005-2006 through 2013-2014 academic years and collegiate men's baseball in the 2004-2005 through 2013-2014 academic years using Web-based sports injury surveillance. DESIGN: Descriptive epidemiology study. SETTING: Online injury surveillance from baseball teams in high school boys (annual average = 100) and collegiate men (annual average = 34). PATIENTS OR OTHER PARTICIPANTS: Boys' or men's baseball players who participated in practices and competitions during the 2005-2006 through 2013-2014 academic years in high school or the 2004-2005 through 2013-2014 academic years in college, respectively. MAIN OUTCOME MEASURE(S): Athletic trainers collected time-loss injury and exposure data. Injury rates per 1000 athlete-exposures (AEs) were calculated. Injury rate ratios (IRRs) with 95% confidence intervals (CIs) compared injury rates by school size or division, time in season, event type, and competition level. RESULTS: The High School Reporting Information Online system documented 1537 time-loss injuries during 1 573 257 AEs; the National Collegiate Athletic Association Injury Surveillance Program documented 2574 time-loss injuries during 804 737 AEs. The injury rate was higher in college than in high school (3.20 versus 0.98/1000 AEs; IRR = 3.27; 95% CI = 3.07, 3.49). The competition injury rate was higher than the practice injury rate in high school (IRR = 2.27; 95% CI = 2.05, 2.51) and college (IRR = 2.32; 95% CI = 2.15, 2.51). Baseball players at the high school and collegiate levels sustained a variety of injuries across the body, with the most common injuries reported to the upper extremity. Many injuries also occurred while fielding or pitching. CONCLUSIONS: Injury rates were greater in collegiate versus high school baseball and in competition versus practice. These findings highlight the need for injury-prevention interventions focused on reducing the incidence of upper extremity injuries and protecting batters from pitches and fielders from batted balls.
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 baseball injury data. OBJECTIVE: To describe the epidemiology of injuries sustained in high school boys' baseball in the 2005-2006 through 2013-2014 academic years and collegiate men's baseball in the 2004-2005 through 2013-2014 academic years using Web-based sports injury surveillance. DESIGN: Descriptive epidemiology study. SETTING: Online injury surveillance from baseball teams in high school boys (annual average = 100) and collegiate men (annual average = 34). PATIENTS OR OTHER PARTICIPANTS: Boys' or men's baseball players who participated in practices and competitions during the 2005-2006 through 2013-2014 academic years in high school or the 2004-2005 through 2013-2014 academic years in college, respectively. MAIN OUTCOME MEASURE(S): Athletic trainers collected time-loss injury and exposure data. Injury rates per 1000 athlete-exposures (AEs) were calculated. Injury rate ratios (IRRs) with 95% confidence intervals (CIs) compared injury rates by school size or division, time in season, event type, and competition level. RESULTS: The High School Reporting Information Online system documented 1537 time-loss injuries during 1 573 257 AEs; the National Collegiate Athletic Association Injury Surveillance Program documented 2574 time-loss injuries during 804 737 AEs. The injury rate was higher in college than in high school (3.20 versus 0.98/1000 AEs; IRR = 3.27; 95% CI = 3.07, 3.49). The competition injury rate was higher than the practice injury rate in high school (IRR = 2.27; 95% CI = 2.05, 2.51) and college (IRR = 2.32; 95% CI = 2.15, 2.51). Baseball players at the high school and collegiate levels sustained a variety of injuries across the body, with the most common injuries reported to the upper extremity. Many injuries also occurred while fielding or pitching. CONCLUSIONS: Injury rates were greater in collegiate versus high school baseball and in competition versus practice. These findings highlight the need for injury-prevention interventions focused on reducing the incidence of upper extremity injuries and protecting batters from pitches and fielders from batted balls.
Authors: Kevin M Cross; Michael McMurray; Jay Hertel; Eric Magrum; Robyn Templeton; Stephen Brockmeier; Frank Gwathmey Journal: Int J Sports Phys Ther Date: 2020-10
Authors: Adrian J Boltz; Jacob R Powell; Hannah J Robison; Sarah N Morris; Christy L Collins; Avinash Chandran Journal: J Athl Train Date: 2021-07-01 Impact factor: 3.824
Authors: Kevin L Veillard; Adrian J Boltz; Hannah J Robison; Sarah N Morris; Christy L Collins; Avinash Chandran Journal: J Athl Train Date: 2021-07-01 Impact factor: 3.824