scholarly journals High School Rowing Injuries: National Athletic Treatment, Injury and Outcomes Network (NATION)

2016 ◽  
Vol 51 (4) ◽  
pp. 317-320 ◽  
Author(s):  
Christine M. Baugh ◽  
Zachary Y. Kerr
Keyword(s):  
High School ◽  
Confidence Intervals ◽  
Sex Difference ◽  
Outcome Measure ◽  
Injury Rate ◽  
Descriptive Epidemiology ◽  
Injury Rates ◽  
Main Outcome Measure ◽  
Exposure Data ◽  
Rate Ratios

Data on high school (HS) rowing injuries are lacking.Context: To describe the epidemiology of HS boys' and girls' rowing injuries during the 2011–2012 through 2013–2014 academic years.Objective: Descriptive epidemiology study.Design: Injury and exposure data from 8 and 11 boys' and girls' rowing programs providing 13 and 17 team-seasons of data, respectively.Setting: High school boys' and girls' varsity rowing student-athletes.Patients or Other Participants: High school rowing data from the National Athletic Treatment, Injury and Outcomes Network.Intervention(s): Injury rates and rate ratios were reported with 95% confidence intervals (CIs).Main Outcome Measure(s): In HS boys' and girls' rowing, 59 and 190 injuries were reported, respectively, for rates of 2.39/1000 athlete-exposures (95% CI = 1.78, 3.00) and 8.60/1000 athlete-exposures (95% CI = 7.38, 9.82). The girls' rowing injury rate was 3.60 times that of boys' (95% CI = 2.69, 4.82).Results: These findings suggest a higher injury rate among HS female rowers than HS male rowers. Additional research exploring reasons for the sex difference is warranted.Conclusions:

scholarly journals Epidemiology of Sport-Related Concussions in High School Athletes: National Athletic Treatment, Injury and Outcomes Network (NATION), 2011–2012 Through 2013–2014

2017 ◽  
Vol 52 (3) ◽  
pp. 175-185 ◽  
Author(s):  
Kathryn L. O'Connor ◽  
Melissa M. Baker ◽  
Sara L. Dalton ◽  
Thomas P. Dompier ◽  
Steven P. Broglio ◽  
...  
Keyword(s):  
High School ◽  
Outcome Measure ◽  
Sports Participation ◽  
Descriptive Epidemiology ◽  
Epidemiology Study ◽  
High School Athletes ◽  
High School Sports ◽  
School Sports ◽  
Exposure Data ◽  
Rate Ratios

Context:Sports participation is one of the leading causes of concussions among nearly 8 million US high school student-athletes.Objective:To describe the epidemiology of sport-related concussion (SRC) in 27 high school sports during the 2011–2012 through 2013–2014 academic years.Design:Descriptive epidemiology study.Setting:Aggregate injury and exposure data from 27 sports in 147 high schools in the National Athletic Treatment, Injury and Outcomes Network (NATION).Patients or Other Participants:Boy and girl high school athletes during the 2011–2012 through 2013–2014 academic years.Main Outcome Measure(s):Sport-related concussion counts, percentages, rates per 10 000 athlete-exposures (AEs), rate ratios (RRs), and injury proportion ratios (IPRs) were reported with 95% confidence intervals (CIs). Rate ratios and IPRs with 95% CIs not containing 1.0 were considered significant.Results:Overall, 2004 SRCs were reported among 27 high school sports, for a rate of 3.89 per 10 000 AEs. Football had the highest SRC rate (9.21/10 000 AEs), followed by boys' lacrosse (6.65/10 000 AEs) and girls' soccer (6.11/10 000 AEs). The SRC rate was higher in competition than in practice (RR = 3.30; 95% CI = 3.02, 3.60). Among sex-comparable sports, the SRC rate was higher in girls than in boys (RR = 1.56; 95% CI = 1.34, 1.81); however, the proportion of SRCs due to player-to-player contact was higher in boys than in girls (IPR = 1.48; 95% CI = 1.27, 1.73). Common symptoms reported among all athletes with SRCs were headache (94.7%), dizziness (74.8%), and difficulty concentrating (61.0%). Only 0.8% of players with SRCs returned to play within 24 hours. The majority of athletes with SRCs (65.8%) returned to play between 7 and 28 days. More players had symptoms resolve after 7 days (48.8%) than less than a week (40.7%).Conclusions:Our findings provide updated high school SRC incidence estimates and further evidence of sex differences in reported SRCs. Few athletes with SRCs returned to play within 24 hours or a week. Most injured players returned after 7 days, despite a smaller proportion having symptoms resolve within a week.

scholarly journals Epidemiology of Secondary School Boys' and Girls' Basketball Injuries: National Athletic Treatment, Injury and Outcomes Network

2019 ◽  
Vol 54 (11) ◽  
pp. 1179-1186 ◽  
Author(s):  
Alex N. Allen ◽  
Erin B. Wasserman ◽  
Richelle M. Williams ◽  
Janet E. Simon ◽  
Thomas P. Dompier ◽  
...  
Keyword(s):  
Secondary School ◽  
Outcome Measure ◽  
Management Strategies ◽  
Injury Rate ◽  
Surveillance Program ◽  
Descriptive Epidemiology ◽  
Injury Patterns ◽  
Time Loss ◽  
Injury Rates ◽  
Rate Ratios

Context Little is known about non–time-loss (NTL) injury patterns in basketball athletes. Knowledge of these patterns may aid in the development of prevention and management strategies for patients with these injuries. Objective To describe the epidemiology of time-loss (TL) and NTL injuries sustained by secondary school boys' and girls' basketball athletes. Design Descriptive epidemiology study. Setting Eighty-six unique schools provided data, with 84 and 83 contributing to boys' and girls' basketball, respectively. Patients or Other Participants Athletes participating in secondary school-sponsored boys' and girls' basketball. Main Outcome Measure(s) Boys' and girls' basketball data from the National Athletic Treatment, Injury and Outcomes Network (NATION) injury-surveillance program (2011–2012 through 2013–2014 years) were analyzed. Injury counts, rates, and rate ratios (IRRs) were reported with 95% confidence intervals (CIs). Results The NATION captured 2653 injuries over 364 355 athlete-exposures (AEs) for boys' basketball and 2394 injuries over 288 286 AE for girls' basketball, producing rates of 7.28/1000 AEs (95% CI = 7.00, 7.56) for boys and 8.30/1000 AEs (95% CI = 7.97, 8.64) for girls. The overall injury rates were slightly lower for boys (IRR = 0.88; 95% CI = 0.83, 0.93). For boys, 559 (21.1%) injuries were TL and 2094 (78.9%) were NTL, producing a TL injury rate of 1.53/1000 AEs (95% CI = 1.40, 1.66) and an NTL injury rate of 5.75/1000 AEs (95% CI = 5.50, 5.99). For girls, 499 (20.8%) injuries were TL and 1895 (79.2%) were NTL, producing a TL injury rate of 1.73/1000 AEs (95% CI = 1.58, 1.88) and an NTL injury rate of 6.57/1000 AEs (95% CI = 6.28, 6.87). Rates of TL injuries were similar between boys' and girls' basketball (IRR = 0.89; 95% CI = 0.79, 1.00); NTL injury rates were lower for boys (IRR = 0.87; 95% CI = 0.82, 0.93). Conclusions When NTL injuries were included, the rates of injury in boys' and girls' secondary school basketball were higher than previously reported.

scholarly journals Examining Play Counts and Measurements of Injury Incidence in Youth Football

2017 ◽  
Vol 52 (10) ◽  
pp. 955-965 ◽  
Author(s):  
Zachary Y. Kerr ◽  
Susan W. Yeargin ◽  
Aristarque Djoko ◽  
Sara L. Dalton ◽  
Melissa M. Baker ◽  
...  
Keyword(s):  
Outcome Measure ◽  
Age Groups ◽  
Injury Rate ◽  
Football Players ◽  
Injury Incidence ◽  
Injury Rates ◽  
Head Impacts ◽  
Youth Football ◽  
Rate Ratios ◽  
Age Range

Context: Whereas researchers have provided estimates for the number of head impacts sustained within a youth football season, less is known about the number of plays across which such impact exposure occurs.Objective: To estimate the number of plays in which youth football players participated during the 2013 season and to estimate injury incidence through play-based injury rates.Design: Descriptive epidemiology study.Setting: Youth football.Patients or Other Participants: Youth football players (N = 2098; age range, 5−15 years) from 105 teams in 12 recreational leagues across 6 states.Main Outcome Measure(s): We calculated the average number of athlete-plays per season and per game using independent-samples t tests to compare age groups (5–10 years old versus 11–15 years old) and squad sizes (<20 versus ≥20 players); game injury rates per 1000 athlete-exposures (AEs) and per 10 000 athlete-plays; and injury rate ratios (IRRs) with 95% confidence intervals (CIs) to compare age groups.Results: On average, youth football players participated in 333.9 ± 178.5 plays per season and 43.9 ± 24.0 plays per game. Age groups (5- to 10-year-olds versus 11- to 15-year-olds) did not differ in the average number of plays per season (335.8 versus 332.3, respectively; t2086.4 = 0.45, P = .65) or per game (44.1 versus 43.7, respectively; t2092.3 = 0.38, P = .71). However, players from smaller teams participated in more plays per season (373.7 versus 308.0; t1611.4 = 8.15, P < .001) and per game (47.7 versus 41.4; t1523.5 = 5.67, P < .001). Older players had a greater game injury rate than younger players when injury rates were calculated per 1000 AEs (23.03 versus 17.86/1000 AEs; IRR = 1.29; 95% CI = 1.04, 1.60) or per 10 000 athlete-plays (5.30 versus 4.18/10 000 athlete-plays; IRR = 1.27; 95% CI = 1.02, 1.57).Conclusions: A larger squad size was associated with a lower average number of plays per season and per game. Increasing youth football squad sizes may help reduce head-impact exposure for individual players. The AE-based injury rates yielded effect estimates similar to those of play-based injury rates.

A - 09 The Epidemiology of Concussion in Middle School Wrestling

2021 ◽  
Vol 36 (4) ◽  
pp. 649-649
Author(s):  
Ferranti SA ◽  
Kelshaw PM ◽  
Hacherl SL ◽  
Erdman NK ◽  
Lincoln AE ◽  
...  
Keyword(s):  
High School ◽  
Middle School ◽  
Return To Sport ◽  
Injury Rate ◽  
Collegiate Sports ◽  
Certified Athletic Trainers ◽  
Injury Rates ◽  
School Division ◽  
Significant Difference ◽  
Rate Ratios

Abstract Objective Wrestling has among the highest concussion incidence in all high school and collegiate sports. Many children begin wrestling in middle school (MS), however, research describing concussion incidence in MS wrestling remains limited. Therefore, we sought to describe the incidence of concussion and subsequent sport time loss (TL) sustained by MS wrestlers. Methods Certified athletic trainers collected concussion and athlete exposure (AE) data for all MS wrestling practices and matches in a large metropolitan public-school division between 2015/16 and 2019/20. AE was defined as one athlete participating in one practice or match. Frequencies and proportions were calculated for diagnosed concussions by event type. TL was the number of days from date of injury to return to sport. Concussion injury rates (IR) per 1000 AEs and injury rate ratios (IRR) to compare IR between practice and matches were calculated with 95% Confidence Intervals (CIs). IRRs with 95% CIs excluding 1.0 were statistically significant. Results 43 concussions occurred across 38,297 AEs (IR = 1.12, 95%CI = 0.79–1.46). No significant difference in the concussion IR between practices (n = 33, IR = 1.11, 95%CI = 0.73–1.49) and matches (n = 10, IR = 1.16, CI = 0.44–1.87; IRR = 1.04, 95% CI = 0.51–2.11) was observed. The mean TL was 18.38 ± 8.25 days. Conclusions We observed higher practice and match concussion rates than those previously reported among middle and high school wrestlers. Additionally, our findings showed that MS wrestlers required approximately 5 more days to return to sport than reported among HS wrestlers. Further investigation of concussion risk factors for concussion and prolonged TL in MS wrestling is needed.

scholarly journals Withdrawals and Retirements in Professional Tennis Players

2016 ◽  
Vol 9 (2) ◽  
pp. 154-161 ◽  
Author(s):  
Matthew J. Hartwell ◽  
Sandra M. Fong ◽  
Alexis C. Colvin
Keyword(s):  
Rate Ratio ◽  
Injury Rate ◽  
Epidemiological Studies ◽  
Incidence Rates ◽  
Descriptive Epidemiology ◽  
Level Of Evidence ◽  
Injury Rates ◽  
Tennis Players ◽  
Professional Tennis ◽  
Rate Ratios

Background: Injuries and illnesses for professional tennis athletes disrupt training, competition, and progression in the sport and represent a major reason for athlete withdrawal or retirement from a tournament. Few descriptive epidemiological studies have focused on these trends in elite tennis athletes. Purpose: To examine the causes of professional tennis player withdrawal or retirement from United States Tennis Association (USTA) Pro Circuit tournaments during 2013. Study Design: Descriptive epidemiology study. Level of Evidence: Level 4. Methods: Tournament records from the 2013 USTA Pro Circuit season were retrospectively reviewed for incidences of injury and illness that resulted in athlete withdrawal from the tournament. Data were reported as incidence rates per 1000 match exposures and rate ratios. Results: There were 70 medical conditions over the course of 27 competitions (20,988 match exposures), for an overall incidence rate of 3.34 per 1000 match exposures. Women were more likely to injure themselves on clay courts compared with hard courts (rate ratio, 4.67; 95% confidence interval [CI], 1.41-19.85) and in the first half of the season compared with the second half (rate ratio, 3.95; 95% CI, 1.13-21.17). Men had a higher injury rate than women (rate ratio, 1.88; 95% CI, 1.17-3.63), and muscle-/tendon-related injuries were 6 times more likely than all other injuries (95% CI, 2.81-14.69). Conclusion: Women were more likely to experience an injury when playing on clay court surfaces, and they also experienced more injuries during the first half of the season. Injury rates for men often peaked during the months that players could qualify for Grand Slam competitions. There was a predominance of injuries in men compared with women.

scholarly journals An Epidemiological Comparison of Elbow Injuries Among United States High School Baseball and Softball Players, 2005-2006 Through 2014-2015

2017 ◽  
Vol 10 (2) ◽  
pp. 119-124 ◽  
Author(s):  
Andrew V. Pytiak ◽  
Matthew J. Kraeutler ◽  
Dustin W. Currie ◽  
Eric C. McCarty ◽  
R. Dawn Comstock
Keyword(s):  
High School ◽  
Injury Rate ◽  
Common Mechanism ◽  
Level Of Evidence ◽  
Injury Rates ◽  
Elbow Injury ◽  
Injury Data ◽  
Elbow Injuries ◽  
The Difference ◽  
Rate Ratios

Background: Pitching is a common mechanism of injury in baseball, with known risk factors for elbow injuries among adolescent pitchers. Hypothesis: Elbow injury rates and mechanisms will differ between high school baseball and softball players. Study Design: Descriptive epidemiology study. Level of Evidence: Level 3. Methods: Baseball- and softball-related injury data from the 2005-2006 through 2014-2015 academic years were collected from the High School Reporting Information Online (RIO) Internet-based data collection tool. Athlete-exposure (AE) and injury data were collected by certified athletic trainers. Rate ratios (RRs) were calculated comparing injury rates in the 2 populations. Injury proportion ratios (IPRs) comparing elbow injuries in pitchers and nonpitchers were calculated as the proportion of all elbow injuries in pitchers divided by the proportion of all elbow injuries in nonpitchers. Results: A total of 214 elbow injuries in male baseball players occurred over 2,327,774 AEs, for an overall elbow injury rate of 0.92 per 10,000 AEs. A total of 75 elbow injuries were reported in female softball players over 1,731,644 AEs, for an overall rate of 0.43 per 10,000 AEs. The rate of elbow injury was significantly higher for baseball than softball (RR, 2.12; 95% CI, 1.64-2.77). A significantly greater proportion of elbow injuries in baseball were pitching-related compared with those from softball, with 50.2% occurring while pitching in baseball versus 11.0% in softball (IPR, 4.58; 95% CI, 2.35-8.93). If all injuries occurring during pitching were removed from both sports, the difference in elbow injury rate for baseball and softball would no longer be significant (RR, 1.19; 95% CI, 0.88-1.62). Conclusion: The rate of elbow injuries is significantly higher in baseball than softball. This is attributable to differences in rates of pitching-related injuries between these 2 groups. Clinical Relevance: These results demonstrate that overhand pitching increases risk of elbow injury in high school athletes.

Trends in United States High School Soccer Concussion Reporting from 2012–2017

2019 ◽  
Vol 34 (5) ◽  
pp. 740-740
Author(s):  
S Burkhart ◽  
C Ellis ◽  
J Baggett ◽  
T Smurawa ◽  
J Polousky
Keyword(s):  
High School ◽  
Injury Risk ◽  
Athletic Trainers ◽  
Injury Rate ◽  
Incidence Rates ◽  
Event Type ◽  
Injury Rates ◽  
Rank One ◽  
Rate Ratios ◽  
Surveillance Database

Abstract Purpose The purpose of this study was to provide updated high school soccer concussion incidence rates by gender and event type. It was hypothesized more soccer injuries occur in females, during games, and that females would have higher injury rates and risk. Methods This study used data from the Rank One Health Injury Surveillance Database (ROH ISD) between 2012–17, from 1,999 high schools in student-athletes ages 14 to 18. This study examined high school soccer concussion incidence rate reporting by Athletic Trainers (ATCs). Injury rates per 1,000 Athletic Exposures, injury rate ratios (IRRs), and risk ratios (RR) were calculated by event type. All 95% confidence intervals (CIs) not containing 1.0 were considered statistically significant. Results A total of 6,669 concussions with an average age of 15.62 (SD=1.26) were reported by ATCs in high school soccer from 2012-17. More concussions occurred in games (4,527; 67.9%) than practices (2,142; 32.1%). During games, males (3.49/1,000 AEs) had lower rates than females (7.78/1,000 AEs). During practice, males (0.52/1,000 AEs) had lower rates than females (0/97/1,000 AEs). Injury risk ratio was higher in games than practices for males (RR=6.71; 95% CI=6.67, 6.75) and females (RR=8.11; 95% CI=8.08, 8.14). Conclusion This study marks the largest epidemiological high school soccer concussion incidence investigation to date. The findings from this study provide updated high school soccer concussion incidence rates and provide further evidence of differences in injury rates when comparing practices and games.

scholarly journals Shoulder Injuries Among United States High School Athletes During the 2005–2006 and 2006–2007 School Years

2009 ◽  
Vol 44 (1) ◽  
pp. 76-83 ◽  
Author(s):  
John E. Bonza ◽  
Sarah K. Fields ◽  
Ellen E. Yard ◽  
R. Dawn Comstock
Keyword(s):  
High School ◽  
High Schools ◽  
Outcome Measure ◽  
Injury Rate ◽  
Shoulder Injuries ◽  
Shoulder Injury ◽  
High School Athletes ◽  
Injury Patterns ◽  
Injury Rates ◽  
Nationally Representative

Abstract Context: The shoulder is one of the most commonly injured body sites among athletes. Little previous research describes shoulder injury patterns in high school athletes. Objective: To describe and compare shoulder injury rates and patterns among high school athletes in 9 sports (football, soccer, basketball, baseball, and wrestling for boys and soccer, volleyball, basketball, and softball for girls). Design: Prospective injury surveillance study. Setting: Injury data were collected from 100 nationally representative US high schools via High School Reporting Information Online. Patients or Other Participants: Athletes from participating high schools injured while involved in a school-sanctioned practice or competition in 1 of the above sports during the 2005–2006 and 2006–2007 school years. Main Outcome Measure(s): Shoulder injury rates, diagnoses, severity, and mechanisms. Results: During the 2005–2006 and 2006–2007 school years, athletes in this study sustained 805 shoulder injuries during 3 550 141 athlete-exposures (AEs), for an injury rate of 2.27 shoulder injuries per 10 000 AEs. This corresponds to an estimated 232 258 shoulder injuries occurring nationwide during this time. Shoulder injuries were more likely to occur during competition than practice (rate ratio  =  3.01, 95% confidence interval  =  2.62, 3.46). Shoulder injury rates per 10 000 AEs were highest in football (5.09), wrestling (4.34), and baseball (1.90). Common shoulder injury diagnoses included sprains/strains (39.6%), dislocations/separations (23.7%), contusions (11.5%), and fractures (6.6%). Although 44.8% of athletes sustaining a shoulder injury returned to play in less than 1 week, 22.9% were out of play for more than 3 weeks, and 6.2% of shoulder injuries required surgery. Common mechanisms of shoulder injury included player-to-player contact (57.6%) and contact with the playing surface (22.8%). Conclusions: High school shoulder injury rates and patterns varied by sport. Continued surveillance is warranted to understand trends and patterns over time and to develop and evaluate evidence-based preventive interventions.

scholarly journals Epidemiology of National Collegiate Athletic Association Men's and Women's Cross-Country Injuries, 2009–2010 Through 2013–2014

2016 ◽  
Vol 51 (1) ◽  
pp. 57-64 ◽  
Author(s):  
Zachary Y. Kerr ◽  
Emily Kroshus ◽  
Jon Grant ◽  
John T. Parsons ◽  
Dustin Folger ◽  
...  
Keyword(s):  
National Collegiate Athletic Association ◽  
Female Athletes ◽  
Injury Rate ◽  
Injury Surveillance ◽  
Surveillance Program ◽  
Injury Rates ◽  
Exposure Data ◽  
Collegiate Level ◽  
Cross Country ◽  
Rate Ratios

Context  Recent injury-surveillance data for collegiate-level cross-country athletes are limited. Objective  To describe the epidemiology of National Collegiate Athletic Association (NCAA) men's and women's cross-country injuries during the 2009–2010 through 2013–2014 academic years. Design  Descriptive epidemiology study. Setting  Aggregate injury and exposure data collected from 25 men's and 22 women's cross-country programs, providing 47 and 43 seasons of data, respectively. Patients or Other Participants  Collegiate student-athletes participating in men's and women's cross-country during the 2009–2010 through 2013–2014 academic years. Main Outcome Measure(s)  Injury rates; injury rate ratios (RRs); injury proportions by body site, diagnosis, and apparatus; and injury proportion ratios were reported with 95% confidence intervals (CIs). Results  The Injury Surveillance Program captured 216 injuries from men's cross-country and 260 injuries from women's cross-country, leading to injury rates of 4.66/1000 athlete-exposures (AEs) for men (95% CI = 4.04, 5.28) and 5.85/1000 AEs for women (95% CI = 5.14, 6.56). The injury rate in women's cross-country was 1.25 times that of men's cross-country (95% CI = 1.05, 1.50). Most injuries affected the lower extremity (men = 90.3%, women = 81.9%). The hip/groin-injury rate in women (0.65/1000 AEs) was higher than that in men (0.15/1000 AEs; RR = 4.32; 95% CI = 1.89, 9.85). The ankle-injury rate in men (0.60/1000 AEs) was higher than that in women (0.29/1000 AEs; RR = 2.07; 95% CI = 1.07, 3.99). Common diagnoses were strains (men = 19.9%, women = 20.4%) and inflammation (men = 18.1%, women = 23.8%). The majority of injuries were classified as overuse (men = 57.6%, women = 53.3%). Conclusions  Consistent with prior research, injury distributions varied between male and female athletes, and the injury rate among females was higher. Understanding the epidemiology of these cross-country injuries may be important for developing appropriate preventive interventions.

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.

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