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Journal of Athletic Training logoLink to Journal of Athletic Training
. 2018 Dec;53(12):1129–1142. doi: 10.4085/1062-6050-176-17

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

Robert C Lynall *, Jason P Mihalik , Lauren A Pierpoint , Dustin W Currie , Sarah B Knowles §, Erin B Wasserman , Thomas P Dompier , R Dawn Comstock ‡,#, Stephen W Marshall **,††, Zachary Y Kerr †,††,
PMCID: PMC6365065  PMID: 30721630

Abstract

Context

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 efforts to collect data on ice hockey injuries.

Objective

To describe the epidemiology of injuries sustained in high school boy's ice hockey in the 2008–2009 through 2013–2014 academic years and collegiate men's and women's ice hockey in the 2004–2005 through 2013–2014 academic years using Web-based surveillance.

Design

Descriptive epidemiology study.

Setting

Online injury surveillance of ice hockey teams of high school boys (annual average = 34), collegiate men (annual average = 20), and collegiate women (annual average = 11).

Patients or Other Participants

Boys', men's, and women's ice hockey players who participated in practices and competitions during the 2008–2009 through 2013–2014 high school academic years or the 2004–2005 through 2013–2014 collegiate academic years.

Main Outcome Measure(s)

Athletic trainers collected time-loss (≥24 hours) injury and exposure data. We calculated injury rates per 1000 athlete-exposures (AEs), injury rate ratios (IRRs) with 95% confidence intervals (CIs), and injury proportions by body site and diagnosis.

Results

The High School Reporting Information Online system documented 831 boys' ice hockey time-loss injuries during 356 997 AEs; the National Collegiate Athletic Association Injury Surveillance Program documented 2611 men's ice hockey time-loss injuries during 552 642 AEs and 752 women's ice hockey injuries during 232 051 AEs. Injury rates were higher in collegiate men than in high school boys during 2008–2009 through 2013–2014 (4.38 versus 2.33/1000 AEs; IRR = 1.88; 95% CI = 1.73, 2.05) and collegiate women during 2004–2005 through 2013–2014 (IRR = 1.46; 95% CI = 1.34, 1.58). Most injuries occurred during competitions (boys = 80.0%, men = 66.9%, women = 55.3%); injury rates were higher in competitions than in practices for boys (IRR = 8.14; 95% CI = 6.87, 9.65), men (IRR = 6.58; 95% CI = 6.06, 7.13), and women (IRR = 3.63; 95% CI = 3.14, 4.19). At all levels, most injuries occurred to the head/face and shoulder/clavicle and resulted in concussions, contusions, or ligament sprains.

Conclusions

Injury rates varied across sports but were consistently higher in competitions than in practices. In competitions, concussions were common injuries, highlighting the need for continued development of injury-prevention strategies.

Key Words: musculoskeletal injuries, concussions, ligament sprains, injury rate


Key Points

  • Men's ice hockey had the highest overall injury rate among the cohorts investigated.

  • Checking may have led to higher injury rates in boys' ice hockey compared with men's ice hockey.

  • Of all women's ice hockey competition injuries, 38% resulted from contact with another person, even though body checking was illegal.

Participation in collegiate men's and women's ice hockey has steadily increased over the last 3 decades.1 The growth in women's collegiate ice hockey has been tremendous, with a nearly 7-fold increase in participation.1 At the high school level, almost 36 000 boys currently participate in ice hockey.2 The growth in participation may be associated with an increase in the number of injuries related to the sport. Thus, in order to develop injury-prevention interventions, we need data on the incidence of ice hockey injuries.

Even though ice hockey is a full-contact activity in the boys' and men's sports and unintentional contact can occur in the women's sport, recent epidemiologic data from the high school and collegiate settings are lacking, with most researchers3,4 focusing on these age groups in international samples. Previous reports examining ice hockey injury data from the National Collegiate Athletic Association (NCAA) showed injury rates of 16.27/1000 athlete-exposures (AEs) in men's ice hockey in the 1988–1999 through 2003–2004 academic years5 and 12.60/1000 AEs in women's ice hockey in the 2001–2002 through 2003–2004 academic years.6 As denoted in the van Mechelen et al7 framework, injury prevention benefits from ongoing monitoring of injury incidence, and updated descriptive epidemiologic data are needed. Further, few comparisons exist on the injury epidemiology of ice hockey injuries across levels. Such differences in age and sex must also be considered when developing targeted and effective injury-prevention strategies.

Since the 1980s, the NCAA has used injury surveillance to acquire collegiate sports injury data to assist in the development of evidence-based injury-prevention strategies. Although this NCAA-based surveillance system has had several names, we herein denote it as the NCAA Injury Surveillance Program (ISP). Since the 2004–2005 academic year, the NCAA has used a Web-based platform to collect collegiate sports injury and exposure data via athletic trainers (ATs).8 A year later, High School Reporting Information Online (HS RIO), a similar Web-based sports injury-surveillance system, was launched.9 The purpose of this article is to summarize the descriptive epidemiology of injuries sustained in boys' high school ice hockey and men's and women's collegiate ice hockey during the first decade of Web-based sports injury surveillance (2004–2005 through 2013–2014 academic years).

METHODS

Data Sources and Study Period

This study used data collected by HS RIO and NCAA-ISP, sports injury-surveillance programs for the high school and collegiate levels, respectively. Use of HS RIO data was approved by the Nationwide Children's Hospital Subjects Review Board (Columbus, OH). Use of the NCAA-ISP data was approved by the Research Review Board at the NCAA.

An average of 34 high schools sponsoring boys' ice hockey participated in HS RIO during the 2008–2009 through 2013–2014 academic years (2008–2009 was the first year HS RIO collected data for the sport). During the 2004–2005 through 2013–2014 academic years, an average of 20 NCAA member institutions (Division I = 9, Division II = 2, Division III = 9) sponsoring men's ice hockey and an average of 11 NCAA member institutions (Division I = 4, Division II = 1, Division III = 6) sponsoring women's ice hockey participated in the NCAA-ISP. The methods of HS RIO and the NCAA-ISP are summarized in the following paragraphs. In-depth information on the methods and analyses for this special series of articles on Web-based sports injury surveillance can be found in a previously published methodologic article.10 In addition, previous publications have described the sampling and data collection of HS RIO9,11 and the NCAA-ISP8 in depth.

High School RIO

High School RIO consists of a sample of high schools with 1 or more National Athletic Trainers' Association-affiliated ATs with valid e-mail addresses. The ATs from participating high schools reported injury incidence and AE information weekly throughout the academic year using a secure Web site. For each injury, the AT completed a detailed report on the athlete (age, height, weight, etc), the injury (site, diagnosis, severity, etc), and the injury event (activity, mechanism, etc). Throughout each academic year, participating ATs were able to view and update previously submitted reports with new information (eg, time loss) as needed.

High School RIO has 2 data-collection panels: a random sample of 100 schools recruited annually since 2005–2006 that report data for the 9 original sports of interest (boys' baseball, basketball, football, soccer, and wrestling and girls' basketball, soccer, softball, and volleyball) and an additional convenience sample of schools recruited annually since 2008–2009 that report data for the additional sports of interest (eg, boys' ice hockey, lacrosse; girls' field hockey, lacrosse). For the first panel, high schools were recruited into 8 strata based on school population (enrollment ≤1000 or >1000) and US Census geographic region.12 If a school dropped out of the system, a replacement from the same stratum was selected. For the second panel, it was impossible to approximate a nationally representative random sample due to strong regional variations in sport sponsorship (eg, ice hockey). As a result, exposure and injury data for the schools in the second panel represent a convenience sample of US high schools. The ATs at some schools from the first panel, those enrolled in the original random sample, chose to report for more than the original 9 sports of interest, and ATs at some of the schools from the second panel reported for some of the original 9 sports as well as the additional sports of interest. Those schools' data represented the original and convenience samples that had collected data from boys' ice hockey.

National Estimates.

National injury estimate weights were not created for boys' ice hockey and thus national estimates could not be computed.

The NCAA-ISP

The NCAA-ISP depends on a convenience sample of teams, with ATs voluntarily reporting injury and exposure data.8 Participation in the NCAA-ISP, while voluntary, is available to all NCAA institutions. For each injury event, the AT completes a detailed report on the injury or condition (eg, site, diagnosis) and the circumstances (eg, activity, mechanism, event type [ie, competition or practice]). The ATs are able to view and update previously submitted information as needed during the course of a season. In addition, ATs also provide the number of student-athletes participating in each practice and competition. A description of the data collection for the 2004–2005 through 2013–2014 academic years follows.

During the 2004–2005 through 2008–2009 academic years, ATs used a Web-based platform launched by the NCAA to track injury and exposure data.8 This platform integrated some of the functional components of an electronic medical record, such as athlete demographic information and preseason injury information. During the 2009–2010 through 2013–2014 academic years, the Datalys Center for Sports Injury Research and Prevention, Inc (Datalys Center, Indianapolis, IN) introduced a common data element (CDE) standard to improve process flow. The CDE standard allowed data to be gathered from different electronic medical record and injury-documentation applications, including the Athletic Trainer System (Keffer Development, Grove City, PA), Injury Surveillance Tool (Datalys Center), and the Sports Injury Monitoring System (FlanTech, Iowa City, IA). The CDE export standard allowed ATs to document injuries as they normally would during their daily clinical practice, as opposed to asking them to report injuries solely for purposes of participation in an injury-surveillance program. Data were deidentified and sent to the Datalys Center, where they were examined by data quality-control staff and a verification engine.

National Estimates.

To calculate national estimates of the number of injuries and AEs, poststratification sample weights, based on sport, division, and academic year, were applied to each reported injury and AE. Weights for all data were further adjusted to correct for underreporting, according to the findings of Kucera et al,13 who estimated that the ISP captured 88.3% of all time-loss medical-care injury events. Weighted counts were scaled up by a factor of (0.883−1). In-depth information on the formula used to calculate national estimates can be found in the previously published methodologic article.10

Definitions

Injury.

A reportable injury in both HS RIO and the NCAA-ISP was defined as an injury that (1) occurred as a result of participation in an organized practice or competition; (2) required medical attention by a certified AT or physician; and (3) resulted in restriction of the student-athlete's participation for 1 or more days beyond the day of injury. Since the 2007–2008 academic year, HS RIO has also captured all concussions, fractures, and dental injuries, regardless of time loss. In the NCAA-ISP, multiple injuries occurring from 1 injury event could be included, whereas in HS RIO, only the principal injury was captured. Beginning in the 2009–2010 academic year, the NCAA-ISP also began to monitor all non–time-loss injuries. A non–time-loss injury was defined as any injury that was evaluated or treated (or both) by an AT or physician but did not result in restriction from participation beyond the day of injury. However, because HS RIO captures only time-loss injuries (to reduce the burden on ATs), for this series of publications, only time-loss injuries (with the exception of concussions, fractures, and dental injuries as noted earlier) were included.

Athlete-Exposures.

For both surveillance systems, a reportable AE was defined as 1 student-athlete participating in 1 school-sanctioned practice or competition in which he or she was exposed to the possibility of athletic injury, regardless of the time associated with that participation. Preseason scrimmages were considered practice exposures, not competition exposures.

Statistical Analysis

Data were analyzed using SAS Enterprise Guide software (version 5.4; SAS Institute, Inc, Cary, NC). Because the data collected from HS RIO and the NCAA-ISP were similar, we opted to recode data when necessary in order to increase the comparability between high school and collegiate student-athletes. We also opted to ensure that categorizations were consistent among all sport-specific articles within this special series. Because methodologic variations may lead to small differences in injury reporting between these surveillance systems, caution must be taken when interpreting these results.

We examined injury counts, national estimates (for college only), and distributions by event type (practice and competition), time in season (preseason, regular season, postseason), time loss (1–6 days; 7–21 days; more than 21 days, including injuries resulting in a premature end to the season), body part injured, diagnosis, mechanism of injury, activity during injury, and position.

We also calculated injury rates per 1000 AEs and injury rate ratios (IRRs). The IRRs first focused on comparisons of high school boys' versus collegiate men's ice hockey and collegiate men's versus women's ice hockey. Comparisons within sport were then performed by event type (practice and competition), school size in high school (≤1000 and >1000 students), division in college (Divisions I, II, and III), and time in season (preseason, regular season, and postseason). For the IRRs comparing high school boys and collegiate men, because HS RIO had data available only for 2008–2009 through 2013–2014, we analyzed the NCAA-ISP data only from that time period as well. All IRRs with 95% confidence intervals (CIs) not containing 1.0 were considered statistically significant.

Last, we used linear regression to analyze linear trends across time of injury rates and compute average annual changes (ie, mean differences). Because of the 2 data-collection methods for the NCAA-ISP during the 2004–2005 through 2008–2009 and 2009–2010 through 2013–2014 academic years, linear trends were conducted separately for each time period. All mean differences with 95% CIs not containing 0.0 were considered statistically significant.

RESULTS

Total Injury Frequency and Injury Rates

During the 2008–2009 through 2013–2014 academic years, ATs reported a total of 831 time-loss injuries in high school boys' ice hockey (Table 1). During the 2004–2005 through 2013–2014 academic years, ATs reported a total of 2611 and 752 injuries in collegiate men's and women's ice hockey, respectively. The total injury rate for high school boys' ice hockey was 2.33/1000 AEs (95% CI = 2.17, 2.49). The total injury rates for collegiate men's and women's ice hockey were 4.72/1000 AEs (95% CI = 4.54, 4.91) and 3.24/1000 AEs (95% CI = 3.01, 3.47), respectively. The total injury rate during 2008–2009 through 2013–2014 was higher in collegiate men than in high school boys (4.38 versus 2.33/1000 AEs; IRR = 1.88; 95% CI = 1.73, 2.05). The total injury rate during 2004–2005 through 2013–2014 was higher in collegiate men than in collegiate women (IRR = 1.46; 95% CI = 1.34, 1.58).

Table 1.

Injury Rates by School Size or Division and Type of Athlete-Exposure in High School Boys', Collegiate Men's, and Collegiate Women's Ice Hockeya

Sport/Surveillance System and School Size or Division
Exposure Type
Injuries in Sample, No. (%)
Athlete-Exposures
Injury Rate/1000 Athlete-Exposures (95% Confidence Interval)
Boys' ice hockey—HS RIO (2008–2009 through 2013–2014)
 ≤1000 students Practice 102 (18.1) 148 813 0.69 (0.55, 0.82)
Competition 463 (81.9) 72 143 6.42 (5.83, 7.00)
Total 565 (100.0) 220 956 2.56 (2.35, 2.77)
 >1000 students Practice 64 (24.1) 90 420 0.71 (0.53, 0.88)
Competition 202 (75.9) 45 621 4.43 (3.82, 5.04)
Total 266 (100.0) 136 041 1.96 (1.72, 2.19)
 Total Practice 166 (20.0) 239 233 0.69 (0.59, 0.80)
Competition 665 (80.0) 117 764 5.65 (5.22, 6.08)
Total 831 (100.0) 356 997 2.33 (2.17, 2.49)
Men's ice hockey—NCAA-ISP (2004–2005 through 2013–2014)
 Division I Practice 380 (31.0) 203 999 1.86 (1.68, 2.05)
Competition 847 (69.0) 63 769 13.28 (12.39, 14.18)
Total 1227 (100.0) 267 768 4.58 (4.33, 4.84)
 Division II Practice 87 (28.3) 47 059 1.85 (1.46, 2.24)
Competition 220 (71.7) 14 422 15.25 (13.24, 17.27)
Total 307 (100.0) 61 480 4.99 (4.43, 5.55)
 Division III Practice 398 (37.0) 171 788 2.32 (2.09, 2.54)
Competition 679 (63.0) 51 606 13.16 (12.17, 14.15)
Total 1077 (100.0) 223 394 4.82 (4.53, 5.11)
 Total Practice 865 (33.1) 422 846 2.05 (1.91, 2.18)
Competition 1746 (66.9) 129 796 13.45 (12.82, 14.08)
Total 2611 (100.0) 552 642 4.72 (4.54, 4.91)
Women's ice hockey—NCAA-ISP (2004–2005 through 2013–2014)
 Division I Practice 84 (40.0) 67 271 1.25 (0.98, 1.52)
Competition 126 (60.0) 23 092 5.46 (4.50, 6.41)
Total 210 (100.0) 90 363 2.32 (2.01, 2.64)
 Division II Practice 56 (49.6) 18 330 3.06 (2.25, 3.86)
Competition 57 (50.4) 6629 8.60 (6.37, 10.83)
Total 113 (100.0) 24 959 4.53 (3.69, 5.36)
 Division III Practice 196 (45.7) 87 390 2.24 (1.93, 2.56)
Competition 233 (54.3) 29 339 7.94 (6.92, 8.96)
Total 429 (100.0) 116 729 3.68 (3.33, 4.02)
 Total Practice 336 (44.7) 172 992 1.94 (1.73, 2.15)
Competition 416 (55.3) 59 059 7.04 (6.37, 7.72)
Total 752 (100.0) 232 051 3.24 (3.01, 3.47)

Abbreviations: HS RIO, High School Reporting Information Online; NCAA-ISP, National Collegiate Athletic Association Injury Surveillance Program.

a 

High school data originated from HS RIO surveillance data, 2008–2009 through 2013–2014; collegiate data originated from NCAA-ISP surveillance data, 2004–2005 through 2013–2014. Injuries included in the analysis were those that (1) occurred during a sanctioned practice or competition; (2) were evaluated or treated (or both) by an athletic trainer, physician, or other health care professional; and (3) restricted the student-athlete from participation for at least 24 hours past the day of injury. All concussions, fractures, and dental injuries were included in the analysis, regardless of time loss. Data may include multiple injuries that occurred at 1 injury event. The athlete-exposures may not sum to the totals due to rounding error.

School Size and Division

In boys' ice hockey, the total injury rate was higher in high schools with ≤1000 students than in high schools with >1000 students (IRR = 1.31; 95% CI = 1.13, 1.51; Table 1). In men's ice hockey, total injury rates did not differ by division (I versus II: IRR = 0.92, 95% CI = 0.81, 1.04; I versus III: IRR = 0.95, 95% CI = 0.88, 1.03; II versus III: IRR = 1.04, 95% CI = 0.91, 1.18). In women's ice hockey, Division II had a higher total injury rate than Division I (IRR = 1.95; 95% CI = 1.55, 2.45) and Division III (IRR = 1.23; 95% CI = 1.00, 1.52); also, Division III had a higher total injury rate than Division I (IRR = 1.58; 95% CI = 1.34, 1.87).

Event Type

The majority of injuries occurred during competitions in boys' ice hockey (80.0%), men's ice hockey (66.9%), and women's ice hockey (55.3%; Table 1). The competition injury rate was higher than the practice injury rate in boys' ice hockey (IRR = 8.14; 95% CI = 6.87, 9.65), men's ice hockey (IRR = 6.58; 95% CI = 6.06, 7.13), and women's ice hockey (IRR = 3.63; 95% CI = 3.14, 4.19).

No linear trends were found in the annual injury rates for high school practices (annual average change of −0.04/1000 AEs; 95% CI = −0.14, 0.06) or competitions (annual average change of −0.11/1000 AEs; 95% CI = −0.32, 0.10; Figure). In collegiate men's ice hockey, a decrease was present in the 2004–2005 through 2008–2009 academic years for competitions (annual average change of −0.79/1000 AEs; 95% CI = −1.20, −0.39) but not practices (annual average change of −0.09/1000 AEs; 95% CI = −0.19, 0.02). No linear trends were noted in the 2009–2010 through 2013–2014 academic years for practices (annual average change of 0.04/1000 AEs; 95% CI = −0.17, 0.25) or competitions (annual average change of −0.13/1000 AEs; 95% CI = −0.93, 0.66). In collegiate women's ice hockey, a decrease occurred in the 2004–2005 through 2008–2009 academic years for practices (annual average change of −0.31/1000 AEs; 95% CI = −0.50, −0.12) but not for competitions (annual average change of −0.25/1000 AEs; 95% CI = −0.84, 0.35). No linear trends were observed in the 2009–2010 through 2013–2014 academic years for practices (annual average change of 0.03/1000 AEs; 95% CI = −0.37, 0.43) or competitions (annual average change of 0.74/1000 AEs; 95% CI = −0.49, 1.97).

Figure.

Figure

Injury rates by year and type of athlete-exposure (AE) in high school boys', collegiate men's, and collegiate women's ice hockey. Note: Annual average changes for linear trend test for injury rates are as follows: High School Reporting Information Online (RIO) boys (practices = −0.04/1000 AEs, 95% confidence interval [CI] = −0.14, 0.06; competitions = −0.11/1000 AEs, 95% CI = −0.32, 0.10); National Collegiate Athletics Association Injury Surveillance Program (NCAA-ISP) men 2004–2005 through 2008–2009 (practices = −0.09/1000 AEs, 95% CI = −0.19, 0.02; competitions = −0.79/1000 AEs, 95% CI = −1.20, −0.39); NCAA-ISP men 2009–2010 through 2013–2014 (practices = 0.04/1000 AEs, 95% CI = −0.17, 0.25; competitions = −0.13/1000 AEs, 95% CI = −0.93, 0.66); NCAA-ISP women 2004–2005 through 2008–2009 (practices = −0.31/1000 AEs, 95% CI = −0.50, −0.12; competitions = −0.25/1000 AEs, 95% CI = −0.84, 0.35); NCAA-ISP women 2009–2010 through 2013–2014 (0.03/1000 AEs, 95% CI = −0.37, 0.43; competitions = 0.74/1000 AEs, 95% CI = −0.49, 1.97). A negative rate indicates a decrease in the annual average change between years and a positive rate indicates an increase in the annual average change. Any 95% CIs that include 0.00 are not significant.

Time in Season

The majority of injuries occurred during the regular season in boys' (90.2%), men's (85.8%), and women's (84.7%; Table 2) ice hockey. In men's ice hockey, the injury rate was higher in the regular season than in the preseason (IRR = 1.17; 95% CI = 1.03, 1.33) and postseason (IRR = 2.11; 95% CI = 1.73, 2.59); also, the injury rate was higher in the preseason than in the postseason (IRR = 1.80; 95% CI = 1.43, 2.27). In women's ice hockey, the injury rate was higher in the regular season than in the preseason (IRR = 1.32; 95% CI = 1.05, 1.66) and postseason (IRR = 1.58; 95% CI = 1.10, 2.27); however, injury rates in the preseason did not differ from those in the postseason (IRR = 1.20; 95% CI = 0.79, 1.81). Injury rates by time in season could not be calculated for high school athletes as the AEs were not stratified by time in season.

Table 2.

Injury Rates by Time in Season and Type of Athlete-Exposure in High School Boys', Collegiate Men's, and Collegiate Women's Ice Hockeya

Sport/Surveillance System and Time in Season
Exposure Type
Injuries in Sample, No. (%)
Athlete-Exposures
Injury Rate/1000 Athlete-Exposures (95% Confidence Interval)
Boys' ice hockey—HS RIO (2008–2009 through 2013–2014)
 Preseason Practice 40 (64.5)
Competition 22 (35.5)
Total 62 (100.0)
 Regular season Practice 126 (16.8)
Competition 623 (83.2)
Total 749 (100.0)
 Postseason Practice 0 (0.0)
Competition 19 (100.0)
Total 19 (100.0)
Men's ice hockey—NCAA-ISP (2004–2005 through 2013–2014)
 Preseason Practice 224 (82.4) 61 882 3.62 (3.15, 4.09)
Competition 48 (17.6) 1854 25.89 (18.57, 33.21)
Total 272 (100.0) 63 736 4.27 (3.76, 4.77)
 Regular season Practice 604 (27.0) 329 147 1.84 (1.69, 1.98)
Competition 1637 (73.0) 118 426 13.82 (13.15, 14.49)
Total 2241 (100.0) 447 573 5.01 (4.80, 5.21)
 Postseason Practice 37 (37.8) 31 817 1.16 (0.79, 1.54)
Competition 61 (62.2) 9517 6.41 (4.80, 8.02)
Total 98 (100.0) 41 334 2.37 (1.90, 2.84)
Women's ice hockey—NCAA-ISP (2004–2005 through 2013–2014)
 Preseason Practice 84 (100.0) 31 989 2.63 (2.06, 3.19)
Competition 0 296 0.00
Total 84 (100.0) 32 285 2.60 (2.05, 3.16)
 Regular season Practice 235 (36.9) 130 031 1.81 (1.58, 2.04)
Competition 402 (63.1) 55 457 7.25 (6.54, 7.96)
Total 637 (100.0) 185 488 3.43 (3.17, 3.70)
 Postseason Practice 17 (54.8) 10 972 1.55 (0.81, 2.29)
Competition 14 (45.2) 3305 4.24 (2.02, 6.45)
Total 31 (100.0) 14 277 2.17 (1.41, 2.94)

Abbreviations: HS RIO, High School Reporting Information Online; NCAA-ISP, National Collegiate Athletic Association Injury Surveillance Program.

a 

Excluded 1 injury reported in HS RIO due to missing data for time in season. Injury rates by time in season could not be calculated for high school as athlete-exposures were not stratified by time in season. The athlete-exposures may not sum to the totals due to rounding error. High school data originated from HS RIO surveillance data, 2008–2009 through 2013–2014; collegiate data originated from NCAA-ISP surveillance data, 2004–2005 through 2013–2014. Injuries included in the analysis were those that (1) occurred during a sanctioned practice or competition; (2) were evaluated or treated (or both) by an athletic trainer, physician, or other health care professional; and (3) restricted the student-athlete from participation for at least 24 hours past the day of injury. All concussions, fractures, and dental injuries were included in the analysis, regardless of time loss. Data may include multiple injuries that occurred at 1 injury event.

Time Loss From Participation

In boys', men's, and women's ice hockey, the largest proportion of injuries resulted in time loss of less than 1 week (Table 3); the 1 exception was competitions in boys' ice hockey, in which the largest proportion of injuries resulted in time loss of 1 to 3 weeks.

Table 3.

Number of Injuries and Injury Rates by Time Loss and Type of Athlete-Exposure in High School Boys', Collegiate Men's, and Collegiate Women's Ice Hockeya

Sport/Surveillance System and Time Loss Category
Practice
Competition
Injuries in Sample, No. (%)
Injury Rate/1000 Athlete-Exposures (95% Confidence Interval)
Injuries in Sample, No. (%)
Injury Rate/1000 Athlete-Exposures (95% Confidence Interval)
Boys' ice hockey—HS RIO (2008–2009 through 2013–2014)
 1 d to <1 wk 73 (45.9) 0.31 (0.24, 0.38) 224 (35.5) 1.90 (1.65, 2.15)
 1 to 3 wk 67 (42.1) 0.28 (0.21, 0.35) 256 (40.6) 2.17 (1.91, 2.44)
 >3 wkb 19 (12.0) 0.08 (0.04, 0.12) 151 (23.9) 1.28 (1.08, 1.49)
Men's ice hockey—NCAA-ISP (2004–2005 through 2013–2014)
 1 d to <1 wk 470 (55.4) 1.11 (1.01, 1.21) 829 (48.7) 6.39 (5.95, 6.82)
 1 to 3 wk 255 (30.1) 0.60 (0.53, 0.68) 561 (32.9) 4.32 (3.96, 4.68)
 >3 wkb 123 (14.5) 0.29 (0.24, 0.34) 314 (18.4) 2.42 (2.15, 2.69)
Women's ice hockey—NCAA-ISP (2004–2005 through 2013–2014)
 1 d to <1 wk 217 (66.8) 1.25 (1.09, 1.42) 212 (53.0) 3.59 (3.11, 4.07)
 1 to 3 wk 77 (23.7) 0.45 (0.35, 0.54) 138 (34.5) 2.34 (1.95, 2.73)
 >3 wkb 31 (9.5) 0.18 (0.12, 0.24) 50 (12.5) 0.85 (0.61, 1.08)

Abbreviations: HS RIO, High School Reporting Information Online; NCAA-ISP, National Collegiate Athletic Association Injury Surveillance Program.

a 

Excluded 44 injuries reported in HS RIO and 92 injuries reported in the NCAA-ISP due to missing data for time loss. Percentages may not add up to 100.0 due to rounding error. High school data originated from HS RIO surveillance data, 2008–2009 through 2013–2014; collegiate data originated from NCAA-ISP surveillance data, 2004–2005 through 2013–2014. Injuries included in the analysis were those that (1) occurred during a sanctioned practice or competition; (2) were evaluated or treated (or both) by an athletic trainer, physician, or other health care professional; and (3) restricted the student-athlete from participation for at least 24 hours past the day of injury. All concussions, fractures, and dental injuries were included in the analysis, regardless of time loss. Data may include multiple injuries that occurred at 1 injury event.

b 

Included injuries that resulted in time loss over 3 weeks, medical disqualification, the athlete choosing not to continue, the athlete being released from team, or the season ending before the athlete returned to activity.

Body Parts Injured and Diagnoses

Boys.

The most commonly injured body part in practices and competitions was the head/face (practices = 24.1%, competitions = 36.1%; Table 4). Other frequently injured body parts were the hip/thigh/upper leg (14.5%) and knee (13.2%) during practices and the shoulder (22.1%) during competitions. The most often reported injury diagnosis in practices and competitions was concussion (practices = 21.8%, competitions = 31.4%; Table 5). Other common diagnoses were contusions (21.2%) and muscle/tendon strains (20.0%) in practices and contusions (16.0%), fractures/avulsions (14.3%), and ligament sprains (13.6%) in competitions.

Table 4.

Number of Injuries and Injury Rates by Body Part Injured and Type of Athlete-Exposure in High School Boys', Collegiate Men's, and Collegiate Women's Ice Hockeya

Sport/Surveillance System and Body Part Injured
Practice
Competition
Injuries in Sample, No. (%)
Injury Rate/1000 Athlete-Exposures (95% Confidence Interval)
Injuries in Sample, No. (%)
Injury Rate/1000 Athlete-Exposures (95% Confidence Interval)
Boys' ice hockey—HS RIO (2008–2009 through 2013–2014)
 Head/face 40 (24.1) 0.17 (0.12, 0.22) 240 (36.1) 2.04 (1.78, 2.30)
 Neck 2 (1.2) 0.01 (0.00, 0.02) 11 (1.7) 0.09 (0.04, 0.15)
 Shoulder/clavicle 18 (10.8) 0.08 (0.04, 0.11) 147 (22.1) 1.25 (1.05, 1.45)
 Arm/elbow 6 (3.6) 0.03 (0.01, 0.05) 30 (4.5) 0.25 (0.16, 0.35)
 Hand/wrist 18 (10.8) 0.08 (0.04, 0.11) 50 (7.5) 0.42 (0.31, 0.54)
 Trunk 14 (8.4) 0.06 (0.03, 0.09) 43 (6.5) 0.37 (0.26, 0.47)
 Hip/thigh/upper leg 24 (14.5) 0.10 (0.06, 0.14) 47 (7.1) 0.40 (0.29, 0.51)
 Knee 22 (13.3) 0.09 (0.05, 0.13) 52 (7.8) 0.44 (0.32, 0.56)
 Lower leg 4 (2.4) 0.02 (0.00, 0.03) 15 (2.3) 0.13 (0.06, 0.19)
 Ankle 10 (6.0) 0.04 (0.02, 0.07) 22 (3.3) 0.19 (0.11, 0.26)
 Foot 5 (3.0) 0.02 (0.00, 0.04) 6 (0.9) 0.05 (0.01, 0.09)
 Other 3 (1.8) 0.01 (0.00, 0.03) 2 (0.3) 0.02 (0.00, 0.04)
Men's ice hockey—NCAA-ISP (2004–2005 through 2013–2014)
 Head/face 110 (12.7) 0.26 (0.21, 0.31) 341 (19.5) 2.63 (2.35, 2.91)
 Neck 15 (1.7) 0.04 (0.02, 0.05) 33 (1.9) 0.25 (0.17, 0.34)
 Shoulder/clavicle 116 (13.4) 0.27 (0.22, 0.32) 385 (22.1) 2.97 (2.67, 3.26)
 Arm/elbow 20 (2.3) 0.05 (0.03, 0.07) 48 (2.7) 0.37 (0.27, 0.47)
 Hand/wrist 85 (9.8) 0.20 (0.16, 0.24) 144 (8.2) 1.11 (0.93, 1.29)
 Trunk 90 (10.4) 0.21 (0.17, 0.26) 122 (7.0) 0.94 (0.77, 1.11)
 Hip/thigh/upper leg 186 (21.5) 0.44 (0.38, 0.50) 235 (13.5) 1.81 (1.58, 2.04)
 Knee 85 (9.8) 0.20 (0.16, 0.24) 251 (14.4) 1.93 (1.69, 2.17)
 Lower leg 13 (1.5) 0.03 (0.01, 0.05) 25 (1.4) 0.19 (0.12, 0.27)
 Ankle 75 (8.7) 0.18 (0.14, 0.22) 111 (6.4) 0.86 (0.70, 1.01)
 Foot 43 (5.0) 0.10 (0.07, 0.13) 36 (2.1) 0.28 (0.19, 0.37)
 Other 27 (3.1) 0.06 (0.04, 0.09) 15 (0.9) 0.12 (0.06, 0.17)
Women's ice hockey—NCAA-ISP (2004–2005 through 2013–2014)
 Head/face 55 (16.4) 0.32 (0.23, 0.40) 116 (27.9) 1.96 (1.61, 2.32)
 Neck 9 (2.7) 0.05 (0.02, 0.09) 19 (4.6) 0.32 (0.18, 0.47)
 Shoulder/clavicle 21 (6.3) 0.12 (0.07, 0.17) 64 (15.4) 1.08 (0.82, 1.35)
 Arm/elbow 10 (3.0) 0.06 (0.02, 0.09) 16 (3.8) 0.27 (0.14, 0.40)
 Hand/wrist 22 (6.5) 0.13 (0.07, 0.18) 34 (8.2) 0.58 (0.38, 0.77)
 Trunk 46 (13.7) 0.27 (0.19, 0.34) 40 (9.6) 0.68 (0.47, 0.89)
 Hip/thigh/upper leg 58 (17.3) 0.34 (0.25, 0.42) 31 (7.5) 0.52 (0.34, 0.71)
 Knee 47 (14.0) 0.27 (0.19, 0.35) 48 (11.5) 0.81 (0.58, 1.04)
 Lower leg 7 (2.1) 0.04 (0.01, 0.07) 9 (2.2) 0.15 (0.05, 0.25)
 Ankle 18 (5.4) 0.10 (0.06, 0.15) 25 (6.0) 0.42 (0.26, 0.59)
 Foot 12 (3.6) 0.07 (0.03, 0.11) 9 (2.2) 0.15 (0.05, 0.25)
 Other 31 (9.2) 0.18 (0.12, 0.24) 5 (1.2) 0.08 (0.01, 0.16)

Abbreviations: HS RIO, High School Reporting Information Online; NCAA-ISP, National Collegiate Athletic Association Injury Surveillance Program.

a 

Percentages may not add up to 100.0 due to rounding error. High school data originated from HS RIO surveillance data, 2008–2009 through 2013–2014; collegiate data originated from NCAA-ISP surveillance data, 2004–2005 through 2013–2014. Injuries included in the analysis were those that (1) occurred during a sanctioned practice or competition; (2) were evaluated or treated (or both) by an athletic trainer, physician, or other health care professional; and (3) restricted the student-athlete from participation for at least 24 hours past the day of injury. All concussions, fractures, and dental injuries were included in the analysis, regardless of time loss. Data may include multiple injuries that occurred at 1 injury event.

Table 5.

Number of Injuries and Injury Rates by Diagnosis and Type of Athlete-Exposure in High School Boys', Collegiate Men's, and Collegiate Women's Ice Hockeya

Sport/Surveillance System and Diagnosis
Practice
Competition
Injuries in Sample, No. (%)
Injury Rate/1000 Athlete-Exposures (95% Confidence Interval)
Injuries in Sample, No. (%)
Injury Rate/1000 Athlete-Exposures (95% Confidence Interval)
Boys' ice hockey—HS RIO (2008–2009 through 2013–2014)
 Concussion 36 (21.8) 0.15 (0.10, 0.20) 208 (31.4) 1.77 (1.53, 2.01)
 Contusion 35 (21.2) 0.15 (0.10, 0.19) 106 (16.0) 0.90 (0.73, 1.07)
 Dislocationb 4 (2.4) 0.02 (0.00, 0.03) 50 (7.5) 0.42 (0.31, 0.54)
 Fracture/avulsion 14 (8.5) 0.06 (0.03, 0.09) 95 (14.3) 0.81 (0.64, 0.97)
 Laceration 8 (4.9) 0.03 (0.01, 0.06) 26 (3.9) 0.22 (0.14, 0.31)
 Ligament sprain 18 (10.9) 0.08 (0.04, 0.11) 90 (13.6) 0.76 (0.61, 0.92)
 Muscle/tendon strain 33 (20.0) 0.14 (0.09, 0.19) 46 (6.9) 0.39 (0.28, 0.50)
 Other 17 (10.3) 0.07 (0.04, 0.10) 42 (6.3) 0.36 (0.25, 0.46)
Men's ice hockey—NCAA-ISP (2004–2005 through 2013–2014)
 Concussion 87 (10.1) 0.21 (0.16, 0.25) 297 (17.0) 2.29 (2.03, 2.55)
 Contusion 149 (17.3) 0.35 (0.30, 0.41) 330 (18.9) 2.54 (2.27, 2.82)
 Dislocationb 17 (2.0) 0.04 (0.02, 0.06) 26 (1.5) 0.20 (0.12, 0.28)
 Fracture/avulsion 57 (6.6) 0.13 (0.10, 0.17) 126 (7.2) 0.97 (0.80, 1.14)
 Laceration 30 (3.5) 0.07 (0.05, 0.10) 45 (2.6) 0.35 (0.25, 0.45)
 Ligament sprain 162 (18.8) 0.38 (0.32, 0.44) 548 (31.4) 4.22 (3.87, 4.58)
 Muscle/tendon strain 203 (23.5) 0.48 (0.41, 0.55) 192 (11.0) 1.48 (1.27, 1.69)
 Other 158 (18.3) 0.37 (0.32, 0.43) 182 (10.4) 1.40 (1.20, 1.61)
Women's ice hockey—NCAA-ISP (2004–2005 through 2013–2014)
 Concussion 51 (15.2) 0.29 (0.21, 0.38) 112 (26.9) 1.90 (1.55, 2.25)
 Contusion 47 (14.0) 0.27 (0.19, 0.35) 62 (14.9) 1.05 (0.79, 1.31)
 Dislocationb 3 (0.9) 0.02 (0.00, 0.04) 4 (1.0) 0.07 (0.00, 0.13)
 Fracture/avulsion 12 (3.6) 0.07 (0.03, 0.11) 22 (5.3) 0.37 (0.22, 0.53)
 Laceration 3 (0.9) 0.02 (0.00, 0.04) 5 (1.2) 0.08 (0.01, 0.16)
 Ligament sprain 55 (16.4) 0.32 (0.23, 0.40) 82 (19.7) 1.39 (1.09, 1.69)
 Muscle/tendon strain 73 (21.8) 0.42 (0.33, 0.52) 59 (14.2) 1.00 (0.74, 1.25)
 Other 91 (27.2) 0.53 (0.42, 0.63) 70 (16.8) 1.19 (0.91, 1.46)

Abbreviations: HS RIO, High School Reporting Information Online; NCAA-ISP, National Collegiate Athletic Association Injury Surveillance Program.

a 

Excluded 3 injuries reported in HS RIO, 2 injuries reported in the NCAA-ISP men's ice hockey, and 1 injury reported in the NCAA-ISP women's ice hockey due to missing data for diagnosis. Percentages may not add up to 100.0 due to rounding error. High school data originated from HS RIO surveillance data, 2008–2009 through 2013–2014; collegiate data originated from NCAA-ISP surveillance data, 2004–2005 through 2013–2014. Injuries included in the analysis were those that (1) occurred during a sanctioned practice or competition; (2) were evaluated or treated (or both) by an athletic trainer, physician, or other health care professional; and (3) restricted the student-athlete from participation for at least 24 hours past the day of injury. All concussions, fractures, and dental injuries were included in the analysis, regardless of time loss. Data may include multiple injuries that occurred at 1 injury event.

b 

Included separations.

Men.

The most frequently injured body parts were the hip/thigh/upper leg (21.5%) during practices and the shoulder/clavicle (22.1%) and head/face (19.5%) during competitions (Table 4). The most often reported injury diagnoses were muscle/tendon strains (23.5%), ligament sprains (18.8%), and contusions (17.3%) in practices and ligament sprains (31.4%), contusions (18.9%), and concussions (17.0%) in competitions (Table 5).

Women.

The most commonly injured body parts were the hip/thigh/upper leg (17.3%) and head/face (16.4%) during practices and the head/face (27.9%) and shoulder/clavicle (15.4%) during competitions (Table 4). The most frequent injury diagnoses in practices and competitions were muscle/tendon strains (practices = 21.8%, competitions = 14.2%), ligament sprains (practices = 16.4%, competitions = 19.7%), concussions (practices = 15.2%, competitions = 26.9%), and contusions (practices = 14.0%, competitions = 14.9%; Table 5).

Mechanisms of Injury and Activities

Boys.

The most often reported mechanisms of injury in practices and competitions were contact with another person (practices = 36.5%, competitions = 58.0%) and contact with the playing surface (practices = 22.6%, competitions = 21.6%; Table 6). The most common activities during injury in practices and competitions were general play (practices = 54.6%, competitions = 37.8%) and checking (practices = 27.7%, competitions = 52.4%; Table 7).

Table 6.

Number of Injuries and Injury Rates by Mechanism of Injury and Type of Athlete-Exposure in High School Boys', Collegiate Men's, and Collegiate Women's Ice Hockeya

Sport/Surveillance System and Mechanism of Injury
Practice
Competition
Injuries in Sample, No. (%)
Injury Rate/1000 Athlete-Exposures (95% Confidence Interval)
Injuries in Sample, No. (%)
Injury Rate/1000 Athlete-Exposures (95% Confidence Interval)
Boys' ice hockey—HS RIO (2008–2009 through 2013–2014)
 Contact with another person 58 (36.5) 0.24 (0.18, 0.30) 370 (58.0) 3.14 (2.82, 3.46)
 Contact with playing surface 36 (22.6) 0.15 (0.10, 0.20) 138 (21.6) 1.17 (0.98, 1.37)
 Contact with stick 1 (0.6) <0.01 (0.00, 0.01) 16 (2.5) 0.14 (0.07, 0.20)
 Contact with puck 16 (10.1) 0.07 (0.03, 0.10) 23 (3.6) 0.20 (0.12, 0.28)
 Contact with skate 2 (1.3) 0.01 (0.00, 0.02) 1 (0.2) 0.01 (0.00, 0.03)
 Contact with board 13 (8.2) 0.05 (0.02, 0.08) 59 (9.3) 0.50 (0.37, 0.63)
 Contact with goal 0 0.00 0 0.00
 Contact with other playing equipment 0 0.00 0 0.00
 Contact with out-of-bounds object 0 0.00 0 0.00
 No contact 24 (15.1) 0.10 (0.06, 0.14) 25 (3.9) 0.21 (0.13, 0.30)
 Overuse/chronic 7 (4.4) 0.03 (0.01, 0.05) 4 (0.6) 0.03 (0.00, 0.07)
 Illness/infection 2 (1.3) 0.01 (0.00, 0.02) 2 (0.3) 0.02 (0.00, 0.04)
Men's ice hockey—NCAA-ISP (2004–2005 through 2013–2014)
 Contact with another person 244 (29.5) 0.58 (0.50, 0.65) 955 (55.4) 7.36 (6.89, 7.82)
 Contact with playing surface 51 (6.2) 0.12 (0.09, 0.15) 91 (5.3) 0.70 (0.56, 0.85)
 Contact with stick 14 (1.7) 0.03 (0.02, 0.05) 58 (3.4) 0.45 (0.33, 0.56)
 Contact with puck 133 (16.1) 0.31 (0.26, 0.37) 144 (8.3) 1.11 (0.93, 1.29)
 Contact with skate 8 (1.0) 0.02 (0.01, 0.03) 14 (0.8) 0.11 (0.05, 0.16)
 Contact with board 88 (10.6) 0.21 (0.16, 0.25) 265 (15.4) 2.04 (1.80, 2.29)
 Contact with goal 6 (0.7) 0.01 (0.00, 0.03) 9 (0.5) 0.07 (0.02, 0.11)
 Contact with other playing equipment 1 (0.1) <0.01 (0.00, 0.01) 4 (0.2) 0.03 (0.00, 0.06)
 Contact with out-of-bounds object 0 0.00 6 (0.3) 0.05 (0.01, 0.08)
 No contact 199 (24.1) 0.47 (0.41, 0.54) 149 (8.6) 1.15 (0.96, 1.33)
 Overuse/chronic 54 (6.5) 0.13 (0.09, 0.16) 24 (1.4) 0.18 (0.11, 0.26)
 Illness/infection 29 (3.5) 0.07 (0.04, 0.09) 6 (0.3) 0.05 (0.01, 0.08)
Women's ice Hockey—NCAA-ISP (2004–2005 through 2013–2014)
 Contact with another person 66 (20.9) 0.38 (0.29, 0.47) 154 (37.8) 2.61 (2.20, 3.02)
 Contact with playing surface 37 (11.7) 0.21 (0.14, 0.28) 69 (16.9) 1.17 (0.89, 1.44)
 Contact with stick 9 (2.8) 0.05 (0.02, 0.09) 15 (3.7) 0.25 (0.13, 0.38)
 Contact with puck 40 (12.7) 0.23 (0.16, 0.30) 28 (6.9) 0.47 (0.30, 0.65)
 Contact with skate 0 0.00 3 (0.7) 0.05 (0.00, 0.11)
 Contact with board 25 (7.9) 0.14 (0.09, 0.20) 71 (17.4) 1.20 (0.92, 1.48)
 Contact with goal 4 (1.3) 0.02 (0.00, 0.05) 6 (1.5) 0.10 (0.02, 0.18)
 Contact with other playing equipment 1 (0.3) 0.01 (0.00, 0.02) 3 (0.7) 0.05 (0.00, 0.11)
 Contact with out-of-bounds object 3 (0.9) 0.02 (0.00, 0.04) 4 (1.0) 0.07 (0.00, 0.13)
 No contact 84 (26.6) 0.49 (0.38, 0.59) 43 (10.5) 0.73 (0.51, 0.95)
 Overuse/chronic 24 (7.6) 0.14 (0.08, 0.19) 8 (2.0) 0.14 (0.04, 0.23)
 Illness/infection 23 (7.3) 0.13 (0.08, 0.19) 4 (1.0) 0.07 (0.00, 0.13)

Abbreviations: HS RIO, High School Reporting Information Online; NCAA-ISP, National Collegiate Athletic Association Injury Surveillance Program.

a 

Mechanism of injury excluded 34 injuries reported in HS RIO, 59 injuries reported in the NCAA-ISP men's ice hockey, and 28 injuries reported in the NCAA-ISP women's ice hockey due to missing data or athletic trainer reporting Other or Unknown. Percentages may not add up to 100.0 due to rounding error. High school data originated from HS RIO surveillance data, 2008–2009 through 2013–2014; collegiate data originated from NCAA-ISP surveillance data, 2004–2005 through 2013–2014. Injuries included in the analysis were those that (1) occurred during a sanctioned practice or competition; (2) were evaluated or treated (or both) by an athletic trainer, physician, or other health care professional; and (3) restricted the student-athlete from participation for at least 24 hours past the day of injury. All concussions, fractures, and dental injuries were included in the analysis, regardless of time loss. Data may include multiple injuries that occurred at 1 injury event.

Table 7.

Number of Injuries and Injury Rates by Activity During Injury and Type of Athlete-Exposure in High School Boys', Collegiate Men's, and Collegiate Women's Ice Hockeya

Sport/Surveillance System and Activity During Injury
Practice
Competition
Injuries in Sample, No. (%)
Injury Rate/1000 Athlete-Exposures (95% Confidence Interval)
Injuries in Sample, No. (%)
Injury Rate/1000 Athlete-Exposures (95% Confidence Interval)
Boys' ice hockey—HS RIO (2008–2009 through 2013–2014)
 Checking 39 (27.7) 0.16 (0.11, 0.21) 319 (52.4) 2.71 (2.41, 3.01)
 Conditioning 0 0.00 0 0.00
 Faceoff 0 0.00 1 (0.2) 0.01 (0.00, 0.03)
 General play 77 (54.6) 0.32 (0.25, 0.39) 230 (37.8) 1.95 (1.70, 2.21)
 Goaltending 11 (7.8) 0.05 (0.02, 0.07) 15 (2.5) 0.13 (0.06, 0.19)
 Passing 3 (2.1) 0.01 (0.00, 0.03) 16 (2.6) 0.14 (0.07, 0.20)
 Receiving pass 10 (7.1) 0.04 (0.02, 0.07) 19 (3.1) 0.16 (0.09, 0.23)
 Shooting 1 (0.7) <0.01 (0.00, 0.01) 9 (1.5) 0.08 (0.03, 0.13)
Men's ice hockey—NCAA-ISP (2004–2005 through 2013–2014)
 Checking 93 (11.6) 0.22 (0.18, 0.26) 434 (25.7) 3.34 (3.03, 3.66)
 Conditioning 42 (5.2) 0.10 (0.07, 0.13) 4 (0.2) 0.03 (0.00, 0.06)
 Faceoff 1 (0.1) <0.01 (0.00, 0.01) 5 (0.3) 0.04 (0.00, 0.07)
 General play 563 (69.9) 1.33 (1.22, 1.44) 1060 (62.9) 8.17 (7.68, 8.66)
 Goaltending 59 (7.3) 0.14 (0.10, 0.18) 38 (2.3) 0.29 (0.20, 0.39)
 Passing 8 (1.0) 0.02 (0.01, 0.03) 61 (3.6) 0.47 (0.35, 0.59)
 Receiving pass 21 (2.6) 0.05 (0.03, 0.07) 51 (3.0) 0.39 (0.29, 0.50)
 Shooting 18 (2.2) 0.04 (0.02, 0.06) 33 (2.0) 0.25 (0.17, 0.34)
Women's ice hockey—NCAA-ISP (2004–2005 through 2013–2014)
 Checking 3 (1.0) 0.02 (0.00, 0.04) 18 (4.6) 0.30 (0.16, 0.45)
 Conditioning 33 (11.0) 0.19 (0.13, 0.26) 4 (1.0) 0.07 (0.00, 0.13)
 Faceoff 0 0.00 1 (0.3) 0.02 (0.00, 0.05)
 General play 220 (73.3) 1.27 (1.10, 1.44) 331 (83.6) 5.60 (5.00, 6.21)
 Goaltending 29 (9.7) 0.17 (0.11, 0.23) 21 (5.3) 0.36 (0.20, 0.51)
 Passing 5 (1.7) 0.03 (0.00, 0.05) 4 (1.0) 0.07 (0.00, 0.13)
 Receiving pass 7 (2.3) 0.04 (0.01, 0.07) 6 (1.5) 0.10 (0.02, 0.18)
 Shooting 3 (1.0) 0.02 (0.00, 0.04) 11 (2.8) 0.19 (0.08, 0.30)

Abbreviations: HS RIO, High School Reporting Information Online; NCAA-ISP, National Collegiate Athletic Association Injury Surveillance Program.

a 

Activity excluded 81 injuries reported in HS RIO, 120 injuries reported in the NCAA-ISP men's ice hockey, and 56 injuries in NCAA-ISP women's ice hockey due to missing data or athletic trainer reporting Other or Unknown. Percentages may not add up to 100.0 due to rounding error. High school data originated from HS RIO surveillance data, 2008–2009 through 2013–2014; collegiate data originated from NCAA-ISP surveillance data, 2004–2005 through 2013–2014. Injuries included in the analysis were those that (1) occurred during a sanctioned practice or competition; (2) were evaluated or treated (or both) by an athletic trainer, physician, or other health care professional; and (3) restricted the student-athlete from participation for at least 24 hours past the day of injury. All concussions, fractures, and dental injuries were included in the analysis, regardless of time loss. Data may include multiple injuries that occurred at 1 injury event.

Men.

The most frequent mechanism of injury in practices and competitions was contact with another person (practices = 29.5%, competitions = 55.4%; Table 6). Other often reported mechanisms of injury were no contact (24.1%) and contact with the puck (16.1%) during practices and contact with the boards (15.4%) during competitions. The most common activities during injury in practices and competitions were general play (practices = 69.9%, competitions = 62.9%) and checking (practices = 11.6%, competitions = 25.7%; Table 7).

Women.

The most frequent mechanisms of injury were no contact (26.6%) and contact with another person (20.9%) during practices and contact with another person (37.8%), contact with the boards (17.4%), and contact with the playing surface (16.9%) during competitions (Table 6). Another often reported mechanism of injury was contact with the puck (12.7%) during practices. The most common activity during injury in practices and competitions was general play (practices = 73.3%, competitions = 83.6%; Table 7).

Position-Specific Injuries During Competitions

During competitions in boys', men's, and women's ice hockey, concussion was the most frequent injury among almost all positions, with most concussions being due to contact with another person (Table 8). The 1 exception was men's goalkeepers, who more often had hip/thigh/upper leg strains. Other common injuries in competitions across boys', men's, and women's ice hockey were hip/thigh/upper leg strains and knee sprains, as well as injuries to the shoulder that resulted in sprains, dislocations, and fractures/avulsions.

Table 8.

Most Common Injuries Associated With Position in Competitions in High School Boys', Collegiate Men's, and Collegiate Women's Ice Hockeya

Position
HS RIO (2008–2009 Through 2013–2014)
NCAA-ISP (2004–2005 Through 2013–2014)
Most Common Injuries
Injuries Within Position, %
Most Frequent Mechanism of Injury for This Injury Within Position
Most Common Injuries
Injuries Within Position, %
Most Frequent Mechanism of Injury for This Injury Within Position
Boys'/men's ice hockey
 Defense Concussion 31.2 Contact with another person Concussion 16.1 Contact with another person
Shoulder dislocationb 5.8 Contact with another person Shoulder sprain 13.8 Contact with another person
Knee sprain 5.8 Contact with another person Knee sprain 9.5 Contact with another person
 Forward Concussion 30.8 Contact with another person Concussion 18.0 Contact with another person
Shoulder fracture/ avulsion 6.9 Contact with another person Shoulder sprain 15.7 Contact with another person
Knee sprain 9.2 Contact with another person
 Goalkeeper Concussion 23.5 Contact with another person Hip/thigh/upper leg strain 26.1 No contact
Trunk contusion 23.5 Contact with another person Knee sprain 19.6 Contact with another person
Hip/thigh/upper leg sprain 11.8 No contact Ankle sprain 10.9 Contact with another person
Women's ice hockey
 Defense Concussion 27.3 Contact with player
Shoulder sprain 5.3 Contact with board
 Forward Concussion 25.4 Contact with another person
Shoulder sprain 7.6 Contact with board
 Goalkeeper Concussion 28.6 Contact with another person
Hip/thigh/upper leg strain 25.0 No contact
Knee sprain 17.9 Contact with another person

Abbreviations: HS RIO, High School Reporting Information Online; NCAA-ISP, National Collegiate Athletic Association Injury Surveillance Program.

a 

Excluded 39 competition injuries reported in HS RIO, 33 competition injuries reported in the NCAA-ISP men's ice hockey, and 20 competition injuries reported in the NCAA-ISP women's ice hockey due to position not being indicated. The table reads as follows: For the defense position in high school boys, concussions comprised 31.2% of all competition injuries to that position. The most common mechanism of injury for this specific injury for this specific position was contact with another person. High school data originated from HS RIO surveillance data, 2008–2009 through 2013–2014; collegiate data originated from NCAA-ISP surveillance data, 2004–2005 through 2013–2014. Injuries included in the analysis were those that (1) occurred during a sanctioned practice or competition; (2) were evaluated or treated (or both) by an athletic trainer, physician, or other health care professional; and (3) restricted the student-athlete from participation for at least 24 hours past the day of injury. All concussions, fractures, and dental injuries were included in the analysis, regardless of time loss. Data may include multiple injuries that occurred at 1 injury event.

b 

Included separations.

DISCUSSION

This study is the first to directly compare injury rates and patterns across high school and collegiate female ice hockey players over multiple seasons in the United States. Although several injury patterns were similar between the 2 age cohorts, such as higher injury rates in competition than in practice, we found interesting trends when comparing men's ice hockey data with those of women's and boys' ice hockey and also when comparing these data with previously published ice hockey injury data. Also, collegiate men's ice hockey had the overall highest injury rate compared with boys' high school and women's collegiate ice hockey. These findings may allow for the development of effective injury-prevention strategies targeted to the level of play.

Comparison of Injury Rates With Previous Research

Men's collegiate ice hockey practice injury rates in the current investigation were nearly identical to previously published rates, but the competition injury rate we reported (13.45/1000 AEs) appears to be lower than a previous estimate (16.27/1000 AEs).5 Similarly, the women's ice hockey competition injury rate was lower in the current investigation (7.04/1000 AEs) than in previously published data (12.60/1000 AEs).6 It is difficult to say whether our results can identify a true decrease in injury incidence. It is also possible that methodologic changes, including but not limited to improved epidemiologic capture methods between the study periods, contributed to the differences reported here. Further, although there is some evidence of decreases in collegiate practices in the 2004–2005 through 2008–2009 academic years, no additional linear trends were detected. Our findings warrant the continued use of consistent methods to better detect and verify the possibility of longitudinal decreases in injury incidence in ice hockey.

Previous men's5 and women's6 collegiate ice hockey epidemiology reports are the most feasible for comparison given the similar methods, but investigations of elite ice hockey players have been conducted. Our overall women's competition injury rate (7.04/1000 AEs) was comparable with but slightly higher than the rates reported during the International Ice Hockey Federation World Women's Championship, World Women's under-18 Championship, and Olympic Winter Games tournaments for women (5.7/1000 AEs) and youth girls (6.4/1000 AEs).3 Our reported men's collegiate ice hockey competition injury rate (13.45/1000 AEs) is similar to that documented for men's international ice hockey competitions over a 7-year period (14.2/1000 AEs).4 These findings are interesting given the sample differences. Further, rule and rink differences in international ice hockey compared with American collegiate hockey do not seem to affect overall injury rates, although more in-depth future comparisons are needed as the incidence of specific types of injuries may be associated with variations in rules, rink sizes, and game play between international and American ice hockey.

Comparisons at the high school level are more challenging. Although 1 previous injury epidemiology study14 was performed at the high school level, the observed time period overlaps significantly with the time period we report here, and the same injury-surveillance system was used. Thus, comparisons between our data and this previous report are not appropriate and are not presented here.

Comparisons Among and Within High School Boys', Collegiate Men's, and Collegiate Women's Ice Hockey

Our data highlight differences among the 3 cohorts examined. Men's collegiate ice hockey had the highest overall injury rate. The difference between the sexes at the collegiate level was not unexpected, as women's ice hockey players are not allowed to body check. However, the higher injury rate in collegiate men versus high school boys is interesting given that similar rules apply at both levels of play. Our results may suggest an increased injury risk due to a number of factors. First, the intensity of play may be greater in collegiate versus high school ice hockey, and collegiate players as a population possess greater body mass and speed, which may elevate the injury risk. In other sports, players at the collegiate level also have more exposure to participation, which may further increase their likelihood of having sustained previous injuries and being subsequently injured.1517 This may well support our finding that the injury rate in collegiate women also exceeded that of high school boys. Further research is needed to better understand the risk factors associated with injury in high school and collegiate ice hockey.

Differences were observed between large and small schools at the high school level and when comparing collegiate divisions. At the high school level, small schools reported higher overall injury rates than did big schools. Similarly, Division II and III women's collegiate ice hockey players had higher overall injury rates than those in Division I, whereas no division differences were seen in the men's collegiate game. Understanding injury rates across different school sizes and divisions may be important to identify the development of appropriate rules to mitigate injury risk. Currently, research on this topic is minimal. Investigators should pursue more detailed studies in order to develop a better understanding of our reported differences.

In collegiate women's ice hockey competitions, 38% of all injuries resulted from contact with another person. This value appears to be lower than findings reported for high school boys (58%) and collegiate men (55%). However, given that body checking is not allowed in women's ice hockey, the finding is alarming, particularly because a small percentage of injuries were attributed to checking (5%). Although it is possible that a proportion of these injuries were due to incidental player contact, current surveillance methods do not allow ATs to report injury mechanisms to this extent. More knowledge of how incidental and intentional contact may differ in their associations with injury risk may be warranted. Simultaneously, enforcing existing rules related to player contact in women's ice hockey can help mitigate the injury incidence.

At the same time, the proportion of injuries related to checking appeared higher in boys than in men (52% versus 26%). These findings may suggest a need to examine how checking, which inherently involves player contact, can be made safer. Previous researchers have shown a reduced risk of injury in youth hockey leagues where checking was not allowed,18,19 although it should be noted that not all findings agree.20 Consequently, it is also possible that rules aimed at minimizing or eliminating checking may decrease the injury incidence. Still, we caution readers' interpretations as ATs at the high school and collegiate levels may vary in how they enter injury activity in their respective injury-surveillance programs; this is evidenced by the far larger percentages of injuries denoted as occurring during general play in the NCAA-ISP (men = 63%; women = 84%) than in HS RIO (38%). Furthermore, even though eliminating or reducing checking at the boys' high school level may be appropriate, it is also important to understand the potential implications as high school players move on to the collegiate level.

Concussions

Compared with the results of previous investigations involving the NCAA-ISP data,5,6 concussion rates in our study varied; the rate among collegiate men was higher (2.29 versus 1.47/1000 AEs), whereas the rate among collegiate women was lower (1.90 versus 2.72/1000 AEs). It can be argued that both findings are promising, given the push by the NCAA to better detect, diagnose, and manage concussions.21,22 The higher rate in men may be due to increased reporting after implementation of the new policy23; the decreased rate in women may be due to better education and prevention efforts. However, it is important to note that researchers24 found minimal change in collegiate ice hockey players' knowledge of concussion. Additional investigation is needed to verify the utility of such guidelines at the collegiate level.

Compared with collegiate men, the concussion rate in high school boys was lower. It is not uncommon for collegiate men's ice hockey athletes to matriculate after playing in a competitive league such as the United States Hockey League. Thus, they may have more at-risk exposure time and therefore a greater likelihood of a history of concussion injuries. Authors25 have noted that a previous concussion was associated with an increased risk of subsequent concussion in football players. Because the current injury-surveillance efforts do not collect data on previous at-risk exposure, further prospective investigation is needed to elucidate the association of such factors and the concussion incidence. Further study is also needed to clarify the brain injury risk between cohorts, which could allow for improved rules and technique training at each level of play to minimize the incidence of concussions during competition.

LIMITATIONS

Our findings may not be generalizable to other playing levels, such as youth, middle school, and professional programs, or to collegiate programs at non-NCAA institutions, or to high schools without National Athletic Trainers' Association-affiliated ATs. Furthermore, we were unable to account for factors potentially associated with injury occurrence, such as AT coverage, implemented injury-prevention programs, and athlete-specific characteristics (eg, previous injury, functional capabilities). Also, although HS RIO and the NCAA-ISP are similar injury-surveillance systems, it is important to consider the variations between the systems (eg, slight variations in options from which participating ATs select for variables). In addition, differences may exist between high school and college in regard to the length of the season in total, as well as the preseason, regular season, and postseason; the potentially longer collegiate season may increase the injury risk. Our calculation of injury rates using AEs may not be as precise an at-risk exposure measure as minutes, hours, or total number of game plays across a season. However, collecting such exposure data is more laborious than for AE data and may be too burdensome for ATs participating in HS RIO and the NCAA-ISP. We also caution regarding comparisons of injury distributions between the high school and collegiate levels as high school data were not available for the 2004–2005 through 2007–2008 academic years.

Although our study is one of few to examine injury incidence across multiple levels of play (eg, high school versus college and competition versus practice), we were unable to assess differences between starters and nonstarters during competitions; analyses that group both types of players may confound and thus weaken the possible exposure-outcome association for some known injury risk factors. Differences may also exist among the freshman, junior varsity, and varsity teams due to differences in maturation. Playing positions may vary in physical demands and resulting injury risk. Athlete-exposures were not collected by position, preventing the calculation of position-specific injury rates.

CONCLUSIONS

Ice hockey is a popular sport that is continuing to grow in popularity, especially for women.1 We report interesting between-cohorts differences that may have injury-prevention implications specific to each level of ice hockey. At the high school level, very little has been published detailing the overall injury burden or mechanisms leading to injury. The data provided herein give high school hockey ATs important information about injury and also allow for a baseline to be established, such that injury-prevention programs can now be created and implemented, and the results of these programs can be compared with these data. Along these lines, checking led to a higher rate of injury in boys' ice hockey than in men's ice hockey. This finding may have injury-prevention implications, which should be further explored. In general, future researchers should continue to explore ice hockey injury epidemiology but include studies that seek to intervene with rule and technique changes at the various levels to improve overall sport safety. As previous investigators26 have posited, ice hockey has one of the higher injury rates, and AT coverage to properly identify and manage athletes with such injuries is warranted. Our findings also suggested higher injury rates in smaller high schools and lower NCAA divisions. This may highlight a need for AT coverage not only in high schools and colleges sponsoring ice hockey but particularly in smaller high schools and lower-division NCAA programs.

ACKNOWLEDGMENTS

The NCAA ISP data were provided by the Datalys Center for Sports Injury Research and Prevention. The ISP was funded by the NCAA. Funding for HS RIO was provided in part by the Centers for Disease Control and Prevention grants R49/CE000674-01 and R49/CE001172-01 and the National Center for Research Resources award KL2 RR025754. We also acknowledge the research funding contributions of the National Federation of State High School Assocations (Indianapolis, IN), National Operating Committee on Standards for Athletic Equipment (Overland Park, KS), DonJoy Orthotics (Vista, CA), and EyeBlack (Potomac, MD). The content of this report is solely the responsibility of the authors and does not necessarily represent the official views of the funding organizations. We thank the many ATs who have volunteered their time and efforts to submit data to HS RIO and the NCAA-ISP. Their efforts are greatly appreciated and have had a tremendously positive effect on the safety of high school and collegiate student-athletes.

REFERENCES

  • 1.Student-athlete participation: 1981-82 – 2014-15. National Collegiate Athletic Association Web site. 2018 http://www.ncaa.org/sites/default/files/Participation%20Rates%20Final.pdf Accessed January 23,
  • 2.Participation statistics. National Federation of State High School Associations Web site. 2018 http://www.nfhs.org/ParticipationStatics/ParticipationStatics.aspx/ Accessed January 23,
  • 3.Tuominen M, Stuart MJ, Aubry M, Kannus P, Tokola K, Parkkari J. Injuries in women's international ice hockey: an 8-year study of the World Championship tournaments and Olympic Winter Games. Br J Sports Med. 2016;50(22):1406–1412. doi: 10.1136/bjsports-2015-094647. [DOI] [PubMed] [Google Scholar]
  • 4.Tuominen M, Stuart MJ, Aubry M, Kannus P, Parkkari J. Injuries in men's international ice hockey: a 7-year study of the International Ice Hockey Federation Adult World Championship Tournaments and Olympic Winter Games. Br J Sports Med. 2015;49(1):30–36. doi: 10.1136/bjsports-2014-093688. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Agel J, Dompier TP, Dick R, Marshall SW. Descriptive epidemiology of collegiate men's ice hockey injuries: National Collegiate Athletic Association Injury Surveillance System, 1988–1989 through 2003–2004. J Athl Train. 2007;42(2):241–248. [PMC free article] [PubMed] [Google Scholar]
  • 6.Agel J, Dick R, Nelson B, Marshall SW, Dompier TP. Descriptive epidemiology of collegiate women's ice hockey injuries: National Collegiate Athletic Association Injury Surveillance System, 2000–2001 through 2003–2004. J Athl Train. 2007;42(2):249–254. [PMC free article] [PubMed] [Google Scholar]
  • 7.van Mechelen W, Hlobil H, Kemper HC. Incidence, severity, aetiology and prevention of sports injuries. A review of concepts. Sports Med. 1992;14(2):82–99. doi: 10.2165/00007256-199214020-00002. [DOI] [PubMed] [Google Scholar]
  • 8.Kerr ZY, Dompier TP, Snook EM, et al. National Collegiate Athletic Association Injury Surveillance System: review of methods for 2004–2005 through 2013–2014 data collection. J Athl Train. 2014;49(4):552–560. doi: 10.4085/1062-6050-49.3.58. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Centers for Disease Control and Prevention. Sports-related injuries among high school athletes–United States, 2005–06 school year. MMWR Morb Mortal Wkly Rep. 2006;55(38):1037–1040. [PubMed] [Google Scholar]
  • 10.Kerr ZY, Comstock RD, Dompier TP, Marshall SW. The first decade of web-based sports injury surveillance (2004–2005 through 2013–2014): methods of the National Collegiate Athletic Association Injury Surveillance Program and High School Reporting Information Online. J Athl Train. 2018;53(8):729–737. doi: 10.4085/1062-6050-143-17. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Rechel JA, Yard EE, Comstock RD. An epidemiologic comparison of high school sports injuries sustained in practice and competition. J Athl Train. 2008;43(2):197–204. doi: 10.4085/1062-6050-43.2.197. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Census regions of the United States. US Census Bureau Web site. 2018 http://www.census.gov/const/regionmap.pdf Accessed January 23,
  • 13.Kucera KL, Marshall SW, Bell DR, DiStefano MJ, Goerger CP, Oyama S. Validity of soccer injury data from the National Collegiate Athletic Association's Injury Surveillance System. J Athl Train. 2011;46(5):489–499. doi: 10.4085/1062-6050-46.5.489. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Matic GT, Sommerfeldt MF, Best TM, Collins CL, Comstock RD, Flanigan DC. Ice hockey injuries among United States high school athletes from 2008/2009–2012/2013. Phys Sportsmed. 2015;43(2):119–125. doi: 10.1080/00913847.2015.1035210. [DOI] [PubMed] [Google Scholar]
  • 15.Hagel BE, Fick GH, Meeuwisse WH. Injury risk in men's Canada West University football. Am J Epidemiol. 2003;157(9):825–833. doi: 10.1093/aje/kwg050. [DOI] [PubMed] [Google Scholar]
  • 16.Knowles SB, Marshall SW, Bowling MJ, et al. Risk factors for injury among high school football players. Epidemiology. 2009;20(2):302–310. doi: 10.1097/EDE.0b013e318193107c. [DOI] [PubMed] [Google Scholar]
  • 17.Turbeville SD, Cowan LD, Owen WL, Asal NR, Anderson MA. Risk factors for injury in high school football players. Am J Sports Med. 2003;31(6):974–980. doi: 10.1177/03635465030310063801. [DOI] [PubMed] [Google Scholar]
  • 18.Black AM, Macpherson AK, Hagel BE, et al. Policy change eliminating body checking in non-elite ice hockey leads to a threefold reduction in injury and concussion risk in 11- and 12-year-old players. Br J Sports Med. 2016;50(1):55–61. doi: 10.1136/bjsports-2015-095103. [DOI] [PubMed] [Google Scholar]
  • 19.Emery CA, Kang J, Shrier I, et al. Risk of injury associated with body checking among youth ice hockey players. JAMA. 2010;303(22):2265–2272. doi: 10.1001/jama.2010.755. [DOI] [PubMed] [Google Scholar]
  • 20.Krolikowski MP, Black AM, Palacios-Derflingher L, Blake TA, Schneider KJ, Emery CA. The effect of the “Zero Tolerance for Head Contact” rule change on the risk of concussions in youth ice hockey players. Am J Sports Med. 2017;45(2):468–473. doi: 10.1177/0363546516669701. [DOI] [PubMed] [Google Scholar]
  • 21.Baugh CM, Kroshus E, Daneshvar DH, Filali NA, Hiscox MJ, Glantz LH. Concussion management in United States college sports: compliance with National Collegiate Athletic Association concussion policy and areas for improvement. Am J Sports Med. 2015;43(1):47–56. doi: 10.1177/0363546514553090. [DOI] [PubMed] [Google Scholar]
  • 22.Parsons JT. 2014–15 NCAA Sports Medicine Handbook 25th ed. Indianapolis, IN: National Collegiate Athletic Association; 2014. National Collegiate Athletic Association Web site. 2018 ed. http://www.ncaapublications.com/DownloadPublication.aspx?download=MD15.pdf Accessed January 23.
  • 23.Kilcoyne KG, Dickens JF, Svoboda SJ, et al. Reported concussion rates for three Division I football programs: an evaluation of the new NCAA concussion policy. Sports Health. 2014;6(5):402–405. doi: 10.1177/1941738113491545. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Kroshus E, Daneshvar DH, Baugh CM, Nowinski CJ, Cantu RC. NCAA concussion education in ice hockey: an ineffective mandate. Br J Sports Med. 2014;48(2):135–140. doi: 10.1136/bjsports-2013-092498. [DOI] [PubMed] [Google Scholar]
  • 25.Guskiewicz KM, McCrea M, Marshall SW, et al. Cumulative effects associated with recurrent concussion in collegiate football players: the NCAA Concussion Study. JAMA. 2003;290(19):2549–2555. doi: 10.1001/jama.290.19.2549. [DOI] [PubMed] [Google Scholar]
  • 26.Hootman JM, Dick R, Agel J. Epidemiology of collegiate injuries for 15 sports: summary and recommendations for injury prevention initiatives. J Athl Train. 2007;42(2):311–319. [PMC free article] [PubMed] [Google Scholar]

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