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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. 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. Descriptive epidemiology study. Online injury surveillance from basketball teams in high school girls (annual average = 100) and collegiate women (annual average = 57). 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. 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. 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. 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.

The influence of sex on head impact biomechanics is unknown for youth ice hockey. We sought to determine sex differences in head impact severity and frequency in youth ice hockey players. Male (n = 110) and female (n = 25) players (13–16 years old) were recruited from a local hockey organization. Players wore helmets instrumented with the Head Impact Telemetry System for all competitions and practices throughout the season. Seven team-seasons were captured. Random intercepts general mixed linear models determined whether linear acceleration and rotational acceleration differed by sex. Linear regression models evaluated the relationship between sex and impact frequency. All head impact biomechanics were natural log-transformed as their distributions were right-skewed. Females sustained fewer impacts per player than males (27 fewer impacts per player-season, p < 0.0001) even when analysis was limited to games only (21 fewer impacts per player-season, p < 0.0001). The linear acceleration was higher among females (1.07 g; 95% CI 1.00, 1.13; p = 0.04). There were no other meaningful sex differences in head impact severity. Female players are not permitted to body check, and this likely explains why they sustain fewer head impacts than males. However, as a result, females likely sustain a higher proportion of head impacts through illegal or unintentional head contact, and these impacts may result in more force being delivered to the head.

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 soccer injury data. To describe the epidemiology of injuries sustained in high school girls' soccer in the 2005-2006 through 2013-2014 academic years and collegiate women's soccer in the 2004-2005 through 2013-2014 academic years using Web-based sports injury surveillance. Descriptive epidemiology study. Online injury surveillance from soccer teams in high school girls (annual average = 100) and collegiate women (annual average = 52). Female high school and collegiate soccer players who participated in practices or competitions during the 2004-2005 through 2013-2014 academic years. 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), injury proportions by body site, and diagnoses were calculated. The High School Reporting Information Online system documented 3242 time-loss injuries during 1 393 753 AEs; the National Collegiate Athletic Association Injury Surveillance Program documented 5092 time-loss injuries during 772 048 AEs. Injury rates were higher in college than in high school (6.60 versus 2.33/1000 AEs; IRR = 2.84; 95% CI = 2.71, 2.96), and during competitions than during practices in high school (IRR = 4.88; 95% CI = 4.54, 5.26) and college (IRR = 2.93; 95% CI = 2.77, 3.10). Most injuries at both levels affected the lower extremity and were ligament sprains or muscle/tendon strains. Concussions accounted for 24.5% of competition injuries in high school but 14.6% of competition injuries in college. More than one-third of competition injuries to high school goalkeepers were concussions. Injury rates were higher in college versus high school and during competitions versus practices. These differences may be attributable to differences in reporting, activity intensity, and game-play skill level. The high incidence of lower extremity injuries and concussions in girls' and women's soccer, particularly concussions in high school goalkeepers, merits further exploration and identification of prevention strategies.

The advent of Web-based sports injury surveillance via programs such as the High School Reporting Information Online system and the National Collegiate Athletic Association Injury Surveillance Program has aided the acquisition of boys' and men's basketball injury data. To describe the epidemiology of injuries sustained in high school boys' basketball in the 2005-2006 through 2013-2014 academic years and collegiate men's basketball in the 2004-2005 through 2013-2014 academic years using Web-based sports injury surveillance. Descriptive epidemiology study. Online injury surveillance from basketball teams of high school boys (annual average = 100) and collegiate men (annual average = 55). Boys' and men'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. 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) compared injury rates by school size or division, time in season, event type, and competition level. The High School Reporting Information Online system documented 3056 time-loss injuries during 1 977 480 AEs; the National Collegiate Athletic Association Injury Surveillance Program documented 4607 time-loss injuries during 868 631 AEs. The injury rate was higher for college than for high school (5.30 versus 1.55/1000 AE; IRR = 3.43; 95% CI = 3.28, 3.59). The injury rate was higher for competitions than for practices in both high school (IRR = 2.38; 95% CI = 2.22, 2.56) and college (IRR = 2.02; 95% CI = 1.90, 2.14). The most common injuries at both levels were ligament sprains, muscle/tendon strains, and concussions; most injuries affected the ankle, knee, and head/face. Injuries were most often caused by contact with another player or noncontact mechanisms. Injury rates were greater among collegiate players compared with high school players and were greater during competitions than practices at both levels. Distributions of injuries by body part, diagnoses, and mechanisms of injury were similar, suggesting that athletes at both levels may benefit from similar injury-prevention strategies.

The advent of Web-based sports injury surveillance via programs such as the High School Reporting Information Online system and the National Collegiate Athletic Association Injury Surveillance Program has aided the acquisition of boys' and men's baseball injury data. To describe the epidemiology of injuries sustained in high school boys' baseball in the 2005-2006 through 2013-2014 academic years and collegiate men's baseball in the 2004-2005 through 2013-2014 academic years using Web-based sports injury surveillance. Descriptive epidemiology study. Online injury surveillance from baseball teams in high school boys (annual average = 100) and collegiate men (annual average = 34). Boys' or men's baseball players who participated in practices and competitions during the 2005-2006 through 2013-2014 academic years in high school or the 2004-2005 through 2013-2014 academic years in college, respectively. Athletic trainers collected time-loss injury and exposure data. Injury rates per 1000 athlete-exposures (AEs) were calculated. Injury rate ratios (IRRs) with 95% confidence intervals (CIs) compared injury rates by school size or division, time in season, event type, and competition level. The High School Reporting Information Online system documented 1537 time-loss injuries during 1 573 257 AEs; the National Collegiate Athletic Association Injury Surveillance Program documented 2574 time-loss injuries during 804 737 AEs. The injury rate was higher in college than in high school (3.20 versus 0.98/1000 AEs; IRR = 3.27; 95% CI = 3.07, 3.49). The competition injury rate was higher than the practice injury rate in high school (IRR = 2.27; 95% CI = 2.05, 2.51) and college (IRR = 2.32; 95% CI = 2.15, 2.51). Baseball players at the high school and collegiate levels sustained a variety of injuries across the body, with the most common injuries reported to the upper extremity. Many injuries also occurred while fielding or pitching. Injury rates were greater in collegiate versus high school baseball and in competition versus practice. These findings highlight the need for injury-prevention interventions focused on reducing the incidence of upper extremity injuries and protecting batters from pitches and fielders from batted balls.

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 data for girls' and women's field hockey injuries. To describe the epidemiology of injuries sustained in high school girls' field hockey in the 2008-2009 through 2013-2014 academic years and collegiate women's field hockey in the 2004-2005 through 2013-2014 academic years using Web-based sports injury surveillance. Descriptive epidemiology study. Online injury surveillance from field hockey teams in high school girls (annual average = 61) and collegiate women (annual average = 14). Girls' and women's field hockey players who participated in practices and competitions during the 2008-2009 through 2013-2014 high school academic years and the 2004-2005 through 2013-2014 collegiate academic years. 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. The High School Reporting Information Online system documented 983 time-loss injuries during 569 551 AEs; the National Collegiate Athletic Association Injury Surveillance Program documented 996 time-loss injuries during 185 984 AEs. The injury rate from 2008-2009 through 2013-2014 was higher in college than in high school (3.25 versus 1.73/1000 AEs; IRR = 1.89; 95% CI = 1.63, 2.18). Most injuries occurred during practices in high school (52.0%) and college (60.7%). Injury rates were higher during competitions than practices in high school (IRR = 2.00; 95% CI = 1.76, 2.26) and college (IRR = 1.96; 95% CI = 1.73, 2.23). At both levels, injuries most commonly occurred to the lower extremity and head/face and resulted in muscle/tendon strains and contusions. However, injury patterns varied between practices and competitions. Injury rates and patterns varied across age groups and between practices and competitions, highlighting the need for development of targeted injury-prevention strategies at both levels of play.

Data regarding the epidemiology of emergency-transport incidents (ETIs) of patients with sport-related injuries are lacking. Understanding the use of emergency services by athletic trainers can help improve emergency preparedness and prehospital care for injured student-athletes. To determine the frequencies and types of ETIs resulting from athletic participation. Descriptive epidemiology study. Participating colleges and high schools during 2009-2010 to 2014-2015 and 2011-2012 to 2013-2014, respectively. Student-athletes in 23 high school and 25 intercollegiate sports. Data on injuries requiring emergency transport were collected by each team's athletic trainer via their respective online injury-tracking software. Athletic trainers also collected data on athlete-exposures (AEs). Emergency-transport incident frequencies and injury rates per 10 000 AEs with 95% confidence intervals (CIs) were reported. For each ETI, the sport, body part, injury mechanism, and final diagnosis were recorded. A total of 339 and 146 ETIs were reported in collegiate and high school players, respectively. Collegiate women's ice hockey had the highest ETI rate (1.28/10 000 AEs; 95% CI = 0.71, 1.86). In high school, football had the highest rate at 0.80 per 10 000 AEs (95% CI = 0.64, 0.97). Athletes with head or face injuries required the most transports in college (n = 71, 20.9%) and high school (n = 33, 22.6%) across all sports. Strains (n = 50, 14.7%) and fractures (n = 35, 24.0%) were the leading diagnoses for patients undergoing transport in college and high school, respectively. Athletic trainers should maintain a high level of emergency preparedness when working with sports that have high rates and numbers of ETIs. Athletes with injuries to the head/face required the most frequent transport across competition levels. Athletic trainers should have the appropriate equipment and protocols in place to handle these patients. Future researchers should examine the differences between field and hospital diagnoses to help improve prehospital care and decrease the likelihood of unnecessary emergency transports.

Objectives. To determine whether concussed students experience greater academic dysfunction than students who sustain other injuries. Methods. We conducted a prospective cohort study from September 2013 through January 2015 involving high school and college students who visited 3 emergency departments in the Rochester, New York, area. Using telephone surveys, we compared self-reported academic dysfunction between 70 students with concussions and a comparison group of 108 students with extremity injuries at 1 week and 1 month after injury. Results. At 1 week after injury, academic dysfunction scores were approximately 16 points higher (b = 16.20; 95% confidence interval = 6.39, 26.00) on a 174-point scale in the concussed group than in the extremity injury group. Although there were no differences overall at 1-month after injury, female students in the concussion group and those with a history of 2 or more prior concussions were more likely to report academic dysfunction. Conclusions. Our results showed academic dysfunction among concussed students, especially female students and those with multiple prior concussions, 1 week after their injury. Such effects appeared to largely resolve after 1 month. Our findings support the need for academic adjustments for concussed students.

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.

Although fatigue has been implicated in anterior cruciate ligament (ACL) injury, few researchers have examined the timing of injury across a competitive sport season or within a competitive session to gain insight into the potential effects of fatigue on the incidence of ACL injury. To identify the time segments across a competitive season or within an individual competition associated with the greatest ACL injury incidence. Descriptive epidemiology study. Data from the National Collegiate Athletic Association Injury Surveillance Program for 2004-2005 through 2015-2016 for basketball, lacrosse, and soccer were analyzed. Incidence rate ratios (IRRs) compared ACL injury rates by sport, sex, season segment, and competition period. Poisson regression was used to examine the associations between each of these categories and the incidence of ACL injury as well as interaction effects. During the early regular season, the incidence rate was elevated relative to the preseason (IRR = 1.86; 95% confidence interval [CI] = 1.27, 2.74), middle regular season (IRR = 1.48; 95% CI = 1.01, 2.15), late regular season (IRR = 1.56; 95% CI = 1.08, 2.27), and postseason (IRR = 2.20; 95% CI = 1.06, 4.56). A sport-by-season interaction indicated this effect was largely attributable to a higher incidence in the early season among lacrosse athletes. An interaction between season segment and competition period ( = .02) revealed a greater injury incidence before halftime in the early regular season (IRR = 0.38, 95% CI = 0.19, 0.76), but a greater incidence after halftime in the late regular season (IRR = 2.40, 95% CI = 1.15, 5.02). Fewer noncontact injuries occurred in soccer than in basketball or lacrosse. The ACL injury incidence was higher in the early part of the regular season, particularly among lacrosse athletes. Although the injury incidences before and after halftime were similar, further analyses of player time and time of injury within each half are necessary. Coaches and practitioners should be cognizant of the elevated injury incidence during the early season among lacrosse athletes. Future authors should consider more specific analyses to further elucidate the potential role of fatigue development in exacerbating the incidence of ACL injury in collegiate athletes both within games and across the season.