Sports Injury Surveillance in Japan (from Sports Safety Association)

2015 ◽  
pp. 3-13 ◽  
Author(s):  
Toru Fukubayashi ◽  
Tetsuya Ogawa ◽  
Mako Fukano
Keyword(s):  
Sports Injury ◽  
Injury Surveillance

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 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.

Sports Injury Surveillance Systems

1997 ◽  
Vol 24 (3) ◽  
pp. 164-168 ◽  
Author(s):  
Willem van Mechelen
Keyword(s):  
Sports Injury ◽  
Injury Surveillance ◽  
Surveillance Systems

scholarly journals Soccer Injuries in Female Youth Players: Comparison of Injury Surveillance by Certified Athletic Trainers and Internet

2010 ◽  
Vol 45 (3) ◽  
pp. 238-242 ◽  
Author(s):  
Melissa A. Schiff ◽  
Christopher D. Mack ◽  
Nayak L. Polissar ◽  
Marni R. Levy ◽  
Sara P. Dow ◽  
...  
Keyword(s):  
Athletic Trainers ◽  
Injury Rate ◽  
Sports Injury ◽  
Injury Surveillance ◽  
Acute Injury ◽  
Body Region ◽  
Surveillance Systems ◽  
Certified Athletic Trainers ◽  
Injury Rates ◽  
Female Youth

Abstract Context: Few authors have evaluated sports injury-surveillance systems that use parental, Internet-based surveys for data collection. Objective: To determine whether certified athletic trainers (ATs) and parental, Internet-based surveys provided comparable data for identifying soccer injuries. Design: Prospective feasibility cohort study. Setting: A soccer association in Seattle, Washington. Patients or Other Participants: Eighty female youth soccer players, ages 12 to 14 years. Main Outcome Measure(s): We compared the data provided by ATs attending 1 soccer practice per week with a weekly soccer-parent, Internet-based system. We measured athlete-exposure hours (AEHs) for each player. We compared injury rates reported by ATs only, Internet-based surveys only, and both systems combined. We evaluated the 2 surveillance systems for agreement on injured body region and laterality of injury using the κ statistic. Results: For ATs only, Internet-based surveys only, and both systems combined, we found acute injury rates of 3.0 per 1000 AEHs, 3.9 per 1000 AEHs, and 4.7 per 1000 AEHs and overuse injury rates of 1.0 per 1000 AEHs, 2.9 per 1000 AEHs, and 2.9 per 1000 AEHs, respectively. Players sustained 27 acute injuries (44% ankle, 11% knee, 11% hip) reported by at least 1 of the 2 systems, with 63% reported by ATs and 85% by Internet-based survey. Players sustained 17 overuse injuries (35% knee, 29% lower leg) reported by either system, with 35% reported by ATs and 100% by Internet-based survey. Among players for whom we had both ATs' and Internet-based survey injury data, body region injured and laterality had very good agreement (κ  =  0.73 to 1.0). Conclusions: The injury rate based on the weekly parental, Internet-based survey was similar to the rate based on the ATs' reporting and had comparable classifications of injured body region and laterality of injury.

scholarly journals Variability in the Identification and Reporting of Overuse Injuries Among Sports Injury Surveillance Data Collectors

2019 ◽  
Vol 12 (1) ◽  
pp. 31-39
Author(s):  
Karen G. Roos ◽  
Kristen L. Kucera ◽  
Yvonne M. Golightly ◽  
Joseph B. Myers ◽  
Wayne D. Rosamond ◽  
...  
Keyword(s):  
Sports Injury ◽  
Injury Surveillance ◽  
Surveillance Data ◽  
Overuse Injuries

scholarly journals Methods of the National Collegiate Athletic Association Injury Surveillance Program, 2014–2015 Through 2018–2019

2021 ◽  
Vol 56 (7) ◽  
pp. 616-621 ◽  
Author(s):  
Avinash Chandran ◽  
Sarah N. Morris ◽  
Erin B. Wasserman ◽  
Adrian J. Boltz ◽  
Christy L. Collins
Keyword(s):  
National Collegiate Athletic Association ◽  
Athletic Trainers ◽  
Sampling Technique ◽  
Sports Injury ◽  
Injury Surveillance ◽  
System Structure ◽  
Surveillance Program ◽  
Collegiate Sports ◽  
Common Data Elements ◽  
Data Elements

Background Since 1982, the National Collegiate Athletic Association (NCAA) has collaborated with athletic trainers (ATs) to create the largest ongoing collegiate sports injury database in the world. This report provides an operational update of the NCAA Injury Surveillance Program (NCAA ISP) during the academic years 2014–2015 through 2018–2019. Surveillance system structure The NCAA ISP used a convenience sampling technique via a rolling recruitment model. The ATs at contributing institutions voluntarily submitted data into their respective electronic medical record systems; common data elements were pushed to and maintained by the Datalys Center. The ATs provided information about all team-related activities, even if no injury occurred during that activity, as well as detailed reports on each injury, including condition and circumstances. Summary The NCAA ISP has a long-standing role in supplying NCAA stakeholders with crucial injury surveillance data, playing a critical part in safeguarding student-athletes participating in collegiate 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.

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