scholarly journals Incidence of Sports Injury in Middle and High School Fencers by Gender, Grade and Type during Training.

2017 ◽  
Vol 19 (4) ◽  
pp. 65-72 ◽  
Author(s):  
Chung Jin-wook ◽  
Song Hong-Sun ◽  
Kim Eon-Ho ◽  
Cho Ji-hoon ◽  
Park Jae-yong ◽  
...  
Keyword(s):  
High School ◽  
Sports Injury

scholarly journals The First Decade of Web-Based Sports Injury Surveillance: Descriptive Epidemiology of Injuries in US High School Boys' Lacrosse (2008–2009 Through 2013–2014) and National Collegiate Athletic Association Men's Lacrosse (2004–2005 Through 2013–2014)

2019 ◽  
Vol 54 (1) ◽  
pp. 30-41 ◽  
Author(s):  
Lauren A. Pierpoint ◽  
Andrew E. Lincoln ◽  
Nina Walker ◽  
Shane V. Caswell ◽  
Dustin W. Currie ◽  
...  
Keyword(s):  
High School ◽  
National Collegiate Athletic Association ◽  
Injury Rate ◽  
Sports Injury ◽  
Injury Surveillance ◽  
Surveillance Program ◽  
Time Loss ◽  
Annual Average ◽  
Injury Rates ◽  
Web Based

ContextThe 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 lacrosse injury data.ObjectiveTo describe the epidemiology of injuries sustained in high school boys' lacrosse in the 2008–2009 through 2013–2014 academic years and collegiate men's lacrosse in the 2004–2005 through 2013–2014 academic years using Web-based sports injury surveillance.DesignDescriptive epidemiology study.SettingOnline injury surveillance from lacrosse teams of high school boys (annual average = 55) and collegiate men (annual average = 14).Patients or Other ParticipantsBoys' and men's lacrosse players who participated in practices and competitions during the 2008–2009 through 2013–2014 academic years in high school or the 2004–2005 through 2013–2014 academic years in college.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.ResultsHigh School Reporting Information Online documented 1407 time-loss injuries during 662 960 AEs. The National Collegiate Athletic Association Injury Surveillance Program documented 1882 time-loss injuries during 390 029 AEs. The total injury rate from 2008–2009 through 2013–2014 was higher in college than in high school (3.77 versus 2.12/1000 AEs; IRR = 1.78; 95% CI = 1.63, 1.94). Most injuries occurred during competitions in high school (61.4%) and practices in college (61.4%). Injury rates were higher in competitions compared with practices in high school (IRR = 3.59; 95% CI = 3.23, 4.00) and college (IRR = 3.38; 95% CI = 3.08, 3.71). Lower limb injuries, muscle strains, and ligament sprains were common at both levels. Concussion was the most frequent competition diagnosis for all high school player positions.ConclusionsRates of time-loss injury were higher in college versus high school and in competitions versus practices. Attention to preventing common lower leg injuries and concussions, especially at the high school level, is essential to decrease their incidence and severity.

scholarly journals Analysis of Florida high school athlete's sports injury data for 2008-2009

2010 ◽  
Vol 16 (Supplement 1) ◽  
pp. A5-A5
Author(s):  
K. D. Liller ◽  
B. Morris ◽  
J. Konin ◽  
S. Jang ◽  
S. Wong ◽  
...  
Keyword(s):  
High School ◽  
Sports Injury ◽  
Injury Data

scholarly journals The First Decade of Web-Based Sports Injury Surveillance: Descriptive Epidemiology of Injuries in US High School Girls' Softball (2005–2006 Through 2013–2014) and National Collegiate Athletic Association Women's Softball (2004–2005 Through 2013–2014)

2019 ◽  
Vol 54 (2) ◽  
pp. 212-225 ◽  
Author(s):  
Erin B. Wasserman ◽  
Johna K. Register-Mihalik ◽  
Eric L. Sauers ◽  
Dustin W. Currie ◽  
Lauren A. Pierpoint ◽  
...  
Keyword(s):  
High School ◽  
National Collegiate Athletic Association ◽  
Injury Rate ◽  
Sports Injury ◽  
Injury Surveillance ◽  
Time Loss ◽  
Injury Rates ◽  
Web Based ◽  
High School Girls ◽  
School Girls

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 girls' and women's softball injury data. Objective To describe the epidemiology of injuries sustained in high school girls' softball in the 2005–2006 through 2013–2014 academic years and collegiate women's softball in the 2004–2005 through 2013–2014 academic years using Web-based sports injury surveillance. Design Descriptive epidemiology study. Setting Online injury surveillance from softball teams in high school girls (annual average = 100) and collegiate women (annual average = 41). Patients or Other Participants Girls' or women's softball 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. 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 competition level, school size or division, event type, and time in season. Results The High School Reporting Information Online system documented 1357 time-loss injuries during 1 173 722 AEs; the National Collegiate Athletic Association Injury Surveillance Program documented 1848 time-loss injuries during 579 553 AEs. The injury rate was higher in college than in high school (3.19 versus 1.16/1000 AEs; IRR = 2.76; 95% CI = 2.57, 2.96). The competition injury rate was higher than the practice injury rate in high school (IRR = 2.02; 95% CI = 1.82, 2.25) and in college (IRR = 1.39; 95% CI = 1.27, 1.52). Softball players at both levels sustained a variety of injuries, with the most common being ankle sprains and concussions. Many injuries also occurred while fielding or running bases. Conclusions Injury rates were greater in collegiate versus high school softball and in competitions versus practices. These findings highlight the need for injury-prevention interventions, including strength-training and prevention programs to reduce ankle sprains and provide protection for batters from pitches and fielders from batted balls.

scholarly journals The First Decade of Web-Based Sports Injury Surveillance: Descriptive Epidemiology of Injuries in United States High School Football (2005–2006 Through 2013–2014) and National Collegiate Athletic Association Football (2004–2005 Through 2013–2014)

2018 ◽  
Vol 53 (8) ◽  
pp. 738-751 ◽  
Author(s):  
Zachary Y. Kerr ◽  
Gary B. Wilkerson ◽  
Shane V. Caswell ◽  
Dustin W. Currie ◽  
Lauren A. Pierpoint ◽  
...  
Keyword(s):  
High School ◽  
National Collegiate Athletic Association ◽  
Injury Rate ◽  
Sports Injury ◽  
Injury Surveillance ◽  
Surveillance Program ◽  
Time Loss ◽  
High School Football ◽  
Injury Rates ◽  
Web Based

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 football injury data.Objective: To describe the epidemiology of injuries sustained in high school football in the 2005–2006 through 2013–2014 academic years and collegiate football in the 2004–2005 through 2013–2014 academic years using Web-based sports injury surveillance.Design: Descriptive epidemiology study.Setting: Online injury surveillance from football teams of high school boys (annual average = 100) and collegiate men (annual average = 43).Patients or Other Participants: Football 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.Main Outcome Measure(s): Athletic trainers collected time-loss injury (≥24 hours) 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: The High School Reporting Information Online system documented 18 189 time-loss injuries during 4 539 636 AEs; the National Collegiate Athletic Association Injury Surveillance Program documented 22 766 time-loss injuries during 3 121  476 AEs. The injury rate was higher among collegiate than high school (7.29 versus 4.01/1000 AEs; IRR = 1.82; 95% CI = 1.79, 1.86) athletes. Most injuries occurred during competitions in high school (53.2%) and practices in college (60.9%). The competition injury rate was higher than the practice injury rate among both high school (IRR = 5.62; 95% CI = 5.46, 5.78) and collegiate (IRR = 6.59; 95% CI = 6.41, 6.76) players. Most injuries at both levels affected the lower extremity and the shoulder/clavicle and were diagnosed as ligament sprains and muscle/tendon strains. However, concussion was a common injury during competitions among most positions.Conclusions: Injury rates were higher in college than in high school and higher for competitions than for practices. Concussion was a frequent injury sustained during competitions, which confirms the need to develop interventions to mitigate its incidence and severity.

Injury Patterns by Body Mass Index in US High School Athletes

2011 ◽  
Vol 8 (2) ◽  
pp. 182-191 ◽  
Author(s):  
Ellen Yard ◽  
Dawn Comstock
Keyword(s):  
High School ◽  
Body Mass Index ◽  
Body Mass ◽  
Knee Injuries ◽  
Sports Injury ◽  
Normal Weight ◽  
Overweight And Obesity ◽  
High School Athletes ◽  
Injury Patterns ◽  
Nationally Representative

Background:There are over 7 million US high school athletes and one-third are overweight or obese. Our objective was to examine injury patterns by body mass index (BMI) in high school athletes.Methods:Certified athletic trainers (ATCs) at 100 nationally representative US high schools submitted exposure and injury information during the 2005 to 08 school years via High School RIO (Reporting Information Online). We retrospectively categorized injured athletes as underweight (≤15th percentile), normal weight (15th−85th percentile), overweight (85th−95th percentile), or obese (≥95th percentile).Results:ATCs reported 13,881 injuries during 5,627,921 athlete-exposures (2.47 injuries per 1000 athlete-exposures). Nearly two-thirds (61.4%) of injured high school athletes were normal weight. The prevalence of overweight and obesity was highest among injured football athletes (54.4%). Compared with normal weight athletes, obese athletes sustained a larger proportion of knee injuries (Injury Proportion Ratio [IPR] = 1.27, 95% CI: 1.14 to 1.42) and their injuries were more likely to have resulted from contact with another person (IPR = 1.31, 95% CI: 1.26 to 1.37). Compared with normal weight athletes, underweight athletes sustained a larger proportion of fractures (IPR = 1.45, 95% CI: 1.10 to 1.92) and a larger proportion of injuries resulting from illegal activity (IPR = 1.59, 95% CI: 1.03 to 2.46).Conclusions:Injury patterns differ by BMI. BMI-targeted preventive interventions should be developed to help decrease sports injury rates.

Rankings of High School Sports Injury Rates Differ Based on Time Loss Assessments

2017 ◽  
Vol 27 (6) ◽  
pp. 548-551 ◽  
Author(s):  
Zachary Y. Kerr ◽  
Karen G. Roos ◽  
Aristarque Djoko ◽  
Thomas P. Dompier ◽  
Stephen W. Marshall
Keyword(s):  
High School ◽  
Sports Injury ◽  
Time Loss ◽  
High School Sports ◽  
Injury Rates ◽  
School Sports

scholarly journals The First Decade of Web-Based Sports Injury Surveillance: Descriptive Epidemiology of Injuries in US High School Girls' Basketball (2005–2006 Through 2013–2014) and National Collegiate Athletic Association Women's Basketball (2004–2005 Through 2013–2014)

2018 ◽  
Vol 53 (11) ◽  
pp. 1037-1048 ◽  
Author(s):  
Daniel R. Clifton ◽  
Jay Hertel ◽  
James A. Onate ◽  
Dustin W. Currie ◽  
Lauren A. Pierpoint ◽  
...  
Keyword(s):  
High School ◽  
National Collegiate Athletic Association ◽  
Injury Rate ◽  
Sports Injury ◽  
Injury Surveillance ◽  
Injury Rates ◽  
Web Based ◽  
High School Girls ◽  
Women's Basketball ◽  
School Girls

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 girls' and women's basketball injury data. Objective To describe the epidemiology of injuries sustained in high school girls' basketball in the 2005–2006 through 2013–2014 academic years and collegiate women's basketball in the 2004–2005 through 2013–2014 academic years using Web-based sports injury surveillance. Design Descriptive epidemiology study. Setting Online injury surveillance from basketball teams in high school girls (annual average = 100) and collegiate women (annual average = 57). Patients or Other Participants Girls' and women's basketball 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. Main Outcome Measure(s) Certified athletic trainers collected time-loss (≥24 hours) injury and exposure data. Injury rates per 1000 athlete-exposures (AEs) were calculated. Injury rate ratios (IRRs) with 95% confidence intervals (CIs) were used to compare injury rates by school size or division, time in season, event type, and competition level. Results The High School Reporting Information Online system documented 2930 time-loss injuries during 1 609 733 AEs; the National Collegiate Athletic Association Injury Surveillance Program documented 3887 time-loss injuries during 783 600 AEs. The injury rate was higher in college than in high school (4.96 versus 1.82/1000 AEs; IRR = 2.73; 95% CI = 2.60, 2.86). The injury rate was higher in competitions than in practices for both high school (IRR = 3.03; 95% CI = 2.82, 3.26) and collegiate (IRR = 1.99; 95% CI = 1.86, 2.12) players. The most common injuries at both levels were ligament sprains, concussions, and muscle/tendon strains; the majority of injuries affected the ankle, knee, and head/face. These injuries were often caused by contact with another player or a noncontact mechanism. Conclusions Injury rates were higher in collegiate than in high school athletes and in competitions than in practices. Similarities in distributions of injuries by body parts, specific diagnoses, and mechanisms of injury suggest that both levels may benefit from similar injury-prevention strategies.

scholarly journals SPORTS INJURY EPIDEMIOLOGY AMONG HIGH SCHOOL ATHLETES

2001 ◽  
Vol 33 (5) ◽  
pp. S1
Author(s):  
M J. Rauh ◽  
S W. Marshall ◽  
J W. Powell ◽  
F O. Mueller ◽  
W S. Queale
Keyword(s):  
High School ◽  
Sports Injury ◽  
High School Athletes ◽  
Injury Epidemiology
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