scholarly journals Middle School Injuries: A 20-Year (1988–2008) Multisport Evaluation

2014 ◽  
Vol 49 (4) ◽  
pp. 493-506 ◽  
Author(s):  
Glenn Beachy ◽  
Mitchell Rauh
Keyword(s):  
Middle School ◽  
Injury Severity ◽  
Injury Rate ◽  
Participation Rate ◽  
Incidence Rates ◽  
High Rate ◽  
School Level ◽  
Time Loss ◽  
Injury Rates ◽  
School Sports

Context: Data on the incidence of injury in middle school sports are limited. Objective: To describe overall, practice, and game injury rate patterns in 29 middle school sports. Design: Descriptive epidemiology study. Setting: Injury data collected over a 20-year period (1988–2008) at a single school. Patients or Other Participants: Boy (n = 8078) and girl (n = 5960) athletes participating in 14 and 15 middle school sports, respectively. Main Outcome Measure(s): Injury status and athlete-exposures (AEs) were collected by certified athletic trainers. Incidence rates per 1000 AEs (injuries/AEs) were calculated for overall incidence, practices and games, injury location, injury type, and injury severity (time lost from participation). Rate ratios (RRs) and 95% confidence intervals (CIs) were used to compare injury rates for sex-matched sports. Results: Football had the highest injury rate for all injuries (16.03/1000 AEs) and for time-loss injuries (8.486/1000 AEs). In matched middle school sports, girls exhibited a higher injury rate for all injuries (7.686/1000 AEs, RR = 1.15, 95% CI = 1.1, 1.2) and time-loss injuries (2.944/1000 AEs, RR = 1.09, 95% CI = 1.0, 1.2) than boys (all injuries: 6.684/1000 AEs, time-loss injuries: 2.702/1000 AEs). Girls had a higher injury rate during practices (3.30/1000 AEs) than games (1.67/1000 AEs, RR = 1.97, 95% CI = 1.7, 2.4) for all sports. Only gymnastics (RR = 0.96, 95% CI = 0.3, 3.8) had a higher game injury rate for girls. Practice and game injury rates were nearly identical for boys in all sports (RR = 0.99, 95% CI = 0.9, 1.1). Only football (RR = 0.49, 95% CI = 0.4, 0.6) and boys' wrestling (RR = 0.50, 95% CI = 0.3, 0.8) reported higher game injury rates. Tendinitis injuries accounted for 19.1% of all middle school injuries. Conclusions: The risk for sport-related injury at the middle school level was greater during practices than games and greater for girls than boys in sex-matched sports. Conditioning programs may be needed to address the high rate of tendinitis injuries.

A - 10 Concussion Rates and Sports Participation Time Loss in Sex-Comparable Middle School Sports

2021 ◽  
Vol 36 (4) ◽  
pp. 650-650
Author(s):  
Hacherl S ◽  
Kelshaw P ◽  
Erdman N ◽  
Lincoln A ◽  
Dunn R ◽  
...  
Keyword(s):  
Middle School ◽  
Return To Sport ◽  
Injury Rate ◽  
Sports Participation ◽  
Time Loss ◽  
Sport Event ◽  
Injury Rates ◽  
School Division ◽  
School Sports ◽  
Rate Ratios

Abstract Objective High rates of concussion in sex-comparable sports have been reported at the high school (HS), however, research examining concussion rates and time loss, in middle school (MS) sports is limited; therefore, we investigated concussion rates and time loss (TL) in sex-comparable MS sports. Methods Concussion and athlete exposure (AE) data was collected for all MS sponsored events in a metropolitan public-school division between 2015/16–2019/20. AE was defined as one athlete participating in one sport-event. TL was defined as the number of days between the injury and return to sport dates. Injury rates (IR) per 1000 AEs with 95% confidence intervals (CI) were calculated for sex-comparable sports (baseball/softball, basketball, soccer, & track). Injury rate ratios (IRR) with 95% CIs were compared IR between sexes. CIs excluding 1.0 were considered significant. A Mann–Whitney U test compared mean TL between sexes. Results 76 concussions (IR = 0.35/1000AEs, 95%CI: 0.27–0.43) occurred across 215,074 AEs. Girls had a higher IR (0.48, 95%CI: 0.35–0.62, n = 52) than boys (0.22, 95%CI: 0.13–0.31, n = 24; IRR:2.18, 95%CI:1.34–3.53). Girls had a greater mean TL (20.27 ± 16.96 days) than boys (13.67 ± 5.66 days, U = 282.5, p = 0.04). Conclusions Within sex-comparable sports, girls had nearly twice the IR, and took nearly 7 days longer to recover than boys. IR differences between sexes in MS and HS athletes were consistent, however MS girls needed nearly one-week longer to recover than HS girls, while MS and HS boys were similar. Further inquiry into MS sport concussion rates, sex differences, and subsequent TL is warranted.

Epidemiology of injuries in juniors participating in top-level karate competition: a prospective cohort study

2017 ◽  
Vol 52 (11) ◽  
pp. 730-734 ◽  
Author(s):  
Dušana Čierna ◽  
Merce Barrientos ◽  
Carlos Agrasar ◽  
Rafael Arriaza
Keyword(s):  
Rate Ratio ◽  
Elite Athletes ◽  
Age Groups ◽  
Injury Rate ◽  
Incidence Rates ◽  
Injury Incidence ◽  
Contact Sport ◽  
Time Loss ◽  
Injury Rates ◽  
Junior Athletes

BackgroundKarate is a popular combat semi-contact sport among juniors, but there are only few studies available on the epidemiology of injuries in karate junior athletes.AimThe aims of this study were to determine the incidence and pattern of injuries in top-level karate competition for athletes aged 16 to 20 years, and to compare injury rates between age groups (ie, under 18-year-old [U18] and under 21-year-old [U21]) and genders, following the introduction of new weight categories.MethodsA prospective injury surveillance was undertaken at four consecutive World Karate Championships (2009 to 2015), following the same protocols used in previous investigations.ResultsDuring the four championships, a total of 257 injuries were recorded, with an incidence of 41.4/1,000 athlete exposures (AEs, 95% CI 36.4 to 46.3). The injury rate was significantly lower for females with a rate ratio 0.63 (95% CI 0.48 to 0.82). Most of the injuries were minor ones: contusions (n=100), followed by abrasions (n=63) and epistaxis (n=62). Only 10% of the injuries were time-loss injuries (injury incidence rates 4.2/1,000 AEs; 95% CI 2.7 to 6.1). Face injuries represented 69.6% of the injuries, most of them were minor ones (light abrasions 24.5%, epistaxis 24.1%, contusion 16.7%). Change of rules (raising the number of weight categories from three to five) reduced injury incidence in the U21 category.ConclusionsThe total injury rate in junior competitions is lower compared with elite adult athletes and higher compared with younger elite athletes. Time-loss injuries are rare. The implementation of the new competition categories in U21 karate has been associated with a significant reduction in injury rate.

scholarly journals A survey study on sports injury by age for male athletes in combat sports

2021 ◽  
Keyword(s):  
High School ◽  
Middle School ◽  
Incidence Rate ◽  
Injury Rate ◽  
Sports Injury ◽  
Incidence Rates ◽  
School Level ◽  
Injury Incidence ◽  
Body Parts ◽  
Combat Sports

Background: Sports injury is critical for elite athletes, especially those in combat sports, which have high injury risk as the athletes attack their opponents' bodies to win. The purpose of this study was to examine the injury frequency according to the injured area and injury rate on two occasions (training and competitions) by age and sports in male combat athletes. Methods: The subjects in this study comprised 1,263 athletes who were registered as athletes in middle school, high school, university, and professional levels in men's combat sports (boxing, fencing, judo, taekwondo, and wrestling) at the Korean Sports and Olympic Committee. An online-based survey was conducted. We carried out a frequency analysis using the R statistics program, and calculated a 95% confidence interval. Results: The highest injury experience rates were in boxing (59.3%) and taekwondo (72.7%) for professional level, in judo (60.5%) and wrestling (57.7%) for university level, and in fencing (54.8%) for high school level. The results of the analysis showed that injury occurred least frequently in the following body parts: the head in fencing (19.1%) and judo (18.0%), torso in taekwondo (14.1%) and wrestling (18.1%), and lower extremities in boxing (13.7%). The most frequently injured body parts werethelowerextremitiesinfencing(33.1%)andtaekwondo(38.9%), upperextremitiesinjudo(30.5%)andwrestling(31.9%), and head in boxing (37.4%). The injury incidence rates during competitions, by age, were 0.03, 0.11, 0.14, and 0.14 for the middle school, high school, university, and professional levels, respectively. The injury incidence rates during competitions, by sports, were 0.06, 0.07, 0.14, 0.15, and 0.16 in judo, wrestling, taekwondo, boxing, and fencing, respectively. The injury incidence rates during training, by age, were 1.33, 1.46, 1.71, and 1.75 for the middle school, high school, university, and professional levels, respectively. The injury incidence rates during training, by sports, were 1.25, 1.36, 1.57, 1.79, and 1.86 in judo, wrestling, fencing, taekwondo, and boxing, respectively. The overall analysis of injury incidence rate is 0.10 during competitions, and 1.52 during training, irrespective of age and sports type. Conclusion: The area of injury and proportion vary according to the type of sports. However, in accordance with the definition of time loss, the injury incidence rate during training was tenfold compared to the IR during competitions, and the injury incidence rate in striking sports was higher than in grappling sports during both training and competitions.

scholarly journals Incidence of Injuries in High School Softball and Baseball Players

2011 ◽  
Vol 46 (6) ◽  
pp. 648-654 ◽  
Author(s):  
Ellen Shanley ◽  
Mitchell J. Rauh ◽  
Lori A. Michener ◽  
Todd S. Ellenbecker
Keyword(s):  
High School ◽  
South Carolina ◽  
High Schools ◽  
Upper Extremity ◽  
Injury Rate ◽  
Baseball Players ◽  
Injury Rates ◽  
School Sports ◽  
Initial Injury ◽  
Subsequent Injury

Context: Participation in high school sports has grown 16.1% over the last decade, but few studies have compared the overall injury risks in girls' softball and boys' baseball. Objective: To examine the incidence of injury in high school softball and baseball players. Design: Cohort study. Setting: Greenville, South Carolina, high schools. Patients or Other Participants: Softball and baseball players (n = 247) from 11 high schools. Main Outcome Measure(s): Injury rates, locations, types; initial or subsequent injury; practice or game setting; positions played; seasonal trends. Results: The overall incidence injury rate was 4.5/1000 athlete-exposures (AEs), with more injuries overall in softball players (5.6/1000 AEs) than in baseball players (4.0/1000 AEs). Baseball players had a higher initial injury rate (75.9/1000 AEs) than softball players (66.4/1000 AEs): rate ratio (RR) = 0.88, 95% confidence interval (CI) = 0.4, 1.7. The initial injury rate was higher than the subsequent injury rate for the overall sample (P < .0001) and for softball (P < .0001) and baseball (P < .001) players. For both sports, the injury rate during games (4.6/1000 AEs) was similar to that during practices (4.1/1000 AEs), RR = 1.22, 95% CI = 0.7, 2.2. Softball players were more likely to be injured in a game than were baseball players (RR = 1.92, 95% CI = 0.8, 4.3). Most injuries (77%) were mild (3.5/1000 AEs). The upper extremity accounted for the highest proportion of injuries (63.3%). The incidence of injury for pitchers was 37.3% and for position players was 15.3%. The rate of injury was highest during the first month of the season (7.96/1000 AEs). Conclusions: The incidence of injury was low for both softball and baseball. Most injuries were minor and affected the upper extremity. The injury rates were highest in the first month of the season, so prevention strategies should be focused on minimizing injuries and monitoring players early in the season.

The Epidemiology of Injuries in Middle School Football, 2015-2017: The Advancing Healthcare Initiatives for Underserved Students Project

2019 ◽  
Vol 47 (4) ◽  
pp. 933-941 ◽  
Author(s):  
Zachary Y. Kerr ◽  
Nelson Cortes ◽  
Jatin P. Ambegaonkar ◽  
Amanda M. Caswell ◽  
Matt Prebble ◽  
...  
Keyword(s):  
Middle School ◽  
Injury Prevention ◽  
Injury Rate ◽  
Surveillance Systems ◽  
Injury Incidence ◽  
Prevention Strategies ◽  
Certified Athletic Trainers ◽  
Injury Rates ◽  
Underserved Students ◽  
Rate Ratios

Background: Although data exist on injuries in youth football leagues, there are limited recent data on injury incidence in middle school football. Updated injury incidence estimates can help drive the development of injury prevention strategies. Purpose: Describe the epidemiology of injuries in middle school football during school years 2015-2016 to 2017-2018. Study Design: Descriptive epidemiology study. Methods: Data originated from 9 public middle schools in Virginia during school years 2015-2016 to 2017-2018. Certified athletic trainers collected injury and athlete-exposure (AE) data from school-sanctioned games and practices in boys’, football. Injury counts and rates per 1000 AEs were calculated. Injury rate ratios with 95% CIs compared rates between games and practices. Results: Overall, 664 middle school boys’, football injuries were reported, leading to an overall injury rate of 20.54 per 1000 AEs (95% CI, 18.98-22.11). The time loss injury rate (inclusive of injuries with participation restriction time ≥24 hours) was 9.28 per 1000 AEs (95% CI, 8.23-10.33). The injury rate was higher in competition than practice (36.19 vs 17.97 per 1000 AEs; injury rate ratio, 2.01; 95% CI, 1.69-2.40). Most injuries were to the head/face (competition, 20.6%; practice, 15.8%) and hand/wrist (competition, 18.8%; practice, 16.4%) and were diagnosed as contusions (competition, 30.9%; practice, 25.9%) and sprains (competition, 19.4%; practice, 12.6%). Competitions also had a large proportion of concussions (10.3%). Overall, 80.0% and 66.9% of injuries were due to contact in competition and practice, respectively; of these contact-related injuries, 62.1% and 41.6% were specifically player contact. Conclusion: Injury distributions parallel those found in previous research from middle school and other sport settings. Injury rates in middle school football were higher than those reported in previous findings in high school and college. However, caution must be taken when interpreting findings in relation to other surveillance systems with varying methodologies. Still, the findings highlight the need for injury prevention strategies within middle school football, particularly as related to contact-related mechanisms.

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 Epidemiology of Operative Foot injuries in College Level Athletes

2019 ◽  
Vol 4 (4) ◽  
pp. 2473011419S0013
Author(s):  
Jimmy J. Chan ◽  
Kevin K. Chen ◽  
Javier Z. Guzman ◽  
Ettore Vulcano
Keyword(s):  
Female Athletes ◽  
Injury Rate ◽  
College Level ◽  
Time Loss ◽  
Foot Injuries ◽  
Injury Rates ◽  
Foot Injury ◽  
Ncaa Athletes ◽  
Multiple Variables ◽  
Lisfranc Injuries

Category: Hindfoot, Lesser Toes, Midfoot/Forefoot, Sports, Trauma Introduction/Purpose: Foot injuries represent a broad category of injuries that may have profound implications in National Collegiate Athletic Association (NCAA) athletes. Accordingly, a more thorough characterization of these injuries and what predisposes NCAA athletes to them is crucial to their prevention. This study examines the incidence and effect of foot injuries on NCAA athletes and their athletic season. Methods: Foot injuries across 16 sports among men and women during the 2004-05 to 2013-14 academic years were analyzed from the NCAA Injury Surveillance Program (NCAA-ISP). Three common orthopaedic foot injuries were sub-analyzed, including fifth metatarsal injuries (5MT), Lisfranc injuries, and turf toes. Multiple variables were reported including injury rates per 100,000 athlete-exposures (IR), operative rate, annual injury rate trends, re-injury rates, in-season status (pre/in/post-season) at time of injury, and time loss distributions were compiled and calculated. Results: A total of 3718 foot injuries were identified over 10-year period. 4.4% of all injuries were operative. Overall foot injury rate was comparable between male (IR=31.1) and female athletes (IR=32.4); however, the operative injury rate was greater in male compared to female (IR=2.0 vs. 0.6) athletes. The top three operative injuries were 5MT (45.1%), stress fractures (12.2%), and Lisfranc injuries (7.9%). 10.8% of turf toes are re-injury, and average time loss was 7.0 days. 43% of 5MT injuries were operative, and 19.2% were re-injuries. 40.6% of 5MT injuries were season-ending with an average time loss of 36.5 days. 33% of Lisfranc injuries were operative, and 7.5% were re-injuries. 45.9% of Lisfranc injuries were season-ending with an average time loss of 25.9 days. Conclusion: Foot injuries are among the most common form of injuries that occur in NCAA athletics. In addition, these injuries can sometimes lead to significant loss of playing time and may even result in the end of the athlete’s season or career. Certain NCAA sports such as men’s football and basketball may more likely predispose patients to season ending injuries and require operative fixation. Close examination of the kinds of foot injuries and their respective mechanisms may help elucidate trends useful in the development of various prevention strategies.

scholarly journals Trends in US High School Football Concussion Reporting, 2012-2017

2019 ◽  
Vol 7 (7_suppl5) ◽  
pp. 2325967119S0030
Author(s):  
Scott O. Burkhart ◽  
Dustin M. Loveland ◽  
Troy M. Smurawa ◽  
John Polousky
Keyword(s):  
High School ◽  
High Schools ◽  
Student Athletes ◽  
Incidence Rates ◽  
Event Type ◽  
High School Football ◽  
Convenience Sample ◽  
High School Sports ◽  
Injury Rates ◽  
School Sports

Objectives: Football has been a sport with high concussion rates when examined independently (Rosenthal et al., 2014). Accurately describing injury trends in high school sports is necessary to identify student-athletes at the greatest risk of injury and where potential injury reduction interventions should be focused. With increased reported high school concussion injuries and associated state legislative requirements, increased incidence rates are needed. The purpose of this study was to provide updated high-school football concussion incidence rates. Methods: Data Source and Study Period This study used data from the Rank One Health Injury Surveillance Database (ROH ISD). Data for the current study were analyzed across 6 calendar years (2012 through 2017) from 1,999 high schools. Data from the current study examined high school football concussion data in males ages 14 to 18. The ROH ISD consists of a convenience sample of participating schools from 2012 to 2017. Exposure and injury data represent a convenience sample of US high schools. For the current study, only data provided across all 1,999 high schools were included. All 1,999 high schools included in the current study logged practice and game participation events for each individual athlete participating in football at the respective high school and athletic exposures (AEs) are an accurate representation of rostered athletes participating in either practices or games by age and calendar year. The ROH ISD was deemed Category 4 IRB exempt. Statistical Analysis Injury counts, practice exposures, game exposures, and distributions by event type (practice or game), age, and injury mechanism were examined. Injury rates per 1,000 AEs and injury rate ratios (IRRs) were calculated by event type. Injury proportion ratios (IPRs) were used to examine differences by calendar year. Risk ratios (RRs) were calculated to compare event type by calendar year. All 95% confidence intervals (CIs) not containing 1.0 were considered statistically significant. Results: 997,308 male student-athletes participated in high school football. ATs recorded a total of 14,103 concussions in high school football from a total of 235,134 total injuries across all high school sports. High school football concussions accounted for 6% of all injuries in high school sports from 2012-2017. More concussions occurred in games (51.8%) than practices (48.2%). Decreases were found in annual injury rates for practices in high school football student-athletes from 2012 to 2016 with an increase in 2017. Decreases were found in annual injury rates for games from 2012 to 2016 with an increase in 2017. IPR decreased by year from 2012 to 2016 (with an increase in 2017. IRR and RR comparisons for games versus practices were significant from 2012 to 2017 (Table 1). Conclusion: This study marks the largest epidemiological high school football concussion incidence investigation to date. The findings from this study provide updated high school football concussion incidence rates and provide further evidence of differences in injury rates when comparing practices and games. The higher rates of concussions occurring in games relative to practices emphasize prior trends of injury risk relative to the level of competition. Overall, results highlight a decline in injury rates over time and lower rates of injury compared to prior high school football epidemiological concussion studies. [Table: see text]

scholarly journals Youth Football Injuries: A Prospective Cohort

2017 ◽  
Vol 5 (2) ◽  
pp. 232596711668678 ◽  
Author(s):  
Andrew R. Peterson ◽  
Adam J. Kruse ◽  
Scott M. Meester ◽  
Tyler S. Olson ◽  
Benjamin N. Riedle ◽  
...  
Keyword(s):  
Proportional Hazards ◽  
Injury Rate ◽  
The United States ◽  
Cox Proportional Hazards ◽  
Time Loss ◽  
Level Of Evidence ◽  
Severe Injuries ◽  
Injury Rates ◽  
Youth Football ◽  
Tackle Football

Background: There are approximately 2.8 million youth football players between the ages of 7 and 14 years in the United States. Rates of injury in this population are poorly described. Recent studies have reported injury rates between 2.3% and 30.4% per season and between 8.5 and 43 per 1000 exposures. Hypothesis: Youth flag football has a lower injury rate than youth tackle football. The concussion rates in flag football are lower than in tackle football. Study Design: Cohort study; Level of evidence, 3. Methods: Three large youth (grades 2-7) football leagues with a total of 3794 players were enrolled. Research personnel partnered with the leagues to provide electronic attendance and injury reporting systems. Researchers had access to deidentified player data and injury information. Injury rates for both the tackle and flag leagues were calculated and compared using Poisson regression with a log link. The probability an injury was severe and an injury resulted in a concussion were modeled using logistic regression. For these 2 responses, best subset model selection was performed, and the model with the minimum Akaike information criterion value was chosen as best. Kaplan-Meier curves were examined to compare time loss due to injury for various subgroups of the population. Finally, time loss was modeled using Cox proportional hazards regression models. Results: A total of 46,416 exposures and 128 injuries were reported. The mean age at injury was 10.64 years. The hazard ratio for tackle football (compared with flag football) was 0.45 (95% CI, 0.25-0.80; P = .0065). The rate of severe injuries per exposure for tackle football was 1.1 (95% CI, 0.33-3.4; P = .93) times that of the flag league. The rate for concussions in tackle football per exposure was 0.51 (95% CI, 0.16-1.7; P = .27) times that of the flag league. Conclusion: Injury is more likely to occur in youth flag football than in youth tackle football. Severe injuries and concussions were not significantly different between leagues. Concussion was more likely to occur during games than during practice. Players in the sixth or seventh grade were more likely to suffer a concussion than were younger players.

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