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72 (); 13-20
doi:
10.1016/j.jor.2025.11.017

Epidemiology of upper extremity injuries in lacrosse: A 20-year analysis of high school and collegiate athletes

Department of Orthopedic Surgery, Warren Alpert Medical School of Brown University, Providence, RI, USA
Frank H. Netter MD School of Medicine at Quinnipiac University, North Haven, CT, USA

⁎Corresponding author: Jacob M. Johnson. jacob.johnson@quinnipiac.edu

Disclaimer:
This article was originally published by Reed Elsevier India Pvt. Ltd. and was migrated to Scientific Scholar after the change of Publisher.

Abstract

Abstract

Lacrosse participation is increasing, with a corresponding rise in upper extremity injuries. This study aims to comprehensively analyze lacrosse-related upper extremity injuries among high school and college-aged athletes.

Data from the National Electronic Injury Surveillance System (NEISS), a large-scale database providing nationally representative estimates, were analyzed for lacrosse-related upper extremity injuries from 2004 to 2023. Patients aged 14–23 years were included and categorized into high school (14–18) and college (19–23) age groups. Weighted analyses were conducted to estimate national injury rates and patterns.

An estimated 50,042 upper extremity injuries were reported, with an overall incidence rate of 14.61 injuries per 1000 athlete exposures. Higher-acuity injuries were common overall; fractures were the most common injury type (IR: 5.61). Males experienced upper extremity injuries at more than four times the rate of females (IRR: 4.44). Athletes in the high school age group were more likely to sustain fractures, while athletes in the college age group had higher risks of dislocations and avulsions. The shoulder was the most commonly injured body part overall.

This study provides a comprehensive analysis of upper extremity injuries in lacrosse among high school and college-aged players. The findings highlight significant patterns in injury distribution and reveal important differences based on sex and age group. These findings can help guide continued research, improved protective equipment, and tailored injury prevention strategies to ensure the long-term health and safety of lacrosse athletes at all levels of play.

Keywords

Athletes
Emergency department
Hand
Lacrosse
Upper extremity injuries
1

1 Introduction

Lacrosse is one of the fastest-growing team sports in North America, with increasing participation at high school and collegiate levels. In a survey reported in The National Federation of State High School Associations 2024–2025 Handbook, 115,001 boys and 101,204 girls participated in lacrosse,1 while 16,030 men and 13,481 women played at the collegiate level.2 As participation increases, so does the incidence of lacrosse-related injuries, particularly those affecting the upper extremity. The biomechanics of lacrosse contribute significantly to these injuries, as high-velocity stick swings, frequent hand contact, and ball impact increase the risk of metacarpal fractures, ligamentous sprains, and contusions.3

Despite the growing body of research on lacrosse injuries, significant gaps remain in the literature, limiting a comprehensive understanding of upper extremity injuries in lacrosse. Most prior studies rely on single-institution or small-cohort analyses, restricting the generalizability of their findings.4 Few studies distinguish between high school and collegiate athletes, despite differences in physicality, protective equipment, and rule enforcement.5,6 While concussions and lower extremity injuries have been extensively studied, injuries involving the shoulder, elbow, forearm, wrist, hand, and fingers remain underreported despite their significant impact on athletic performance, return to play, and long-term musculoskeletal function.3,5,7 Given the sport's reliance on grip strength, fine motor control, and rapid stick-handling movements, these injuries present unique challenges for healthcare providers treating athletes.7

The current study aims to contribute to the development of evidence-based injury prevention strategies by providing a nationally representative analysis of lacrosse-related upper extremity injuries among high school and college-aged athletes. By utilizing data from the National Electronic Injury Surveillance System (NEISS), this study will identify injury patterns based on age, sex, and injury distribution. Our goal is to establish risk, injury, and re-injury profiles that can be used to guide athletic trainers, coaches, and healthcare providers in counseling patients about lacrosse participation.

2

2 Methods

2.1

2.1 Data sources

This study utilized data from the National Electronic Injury Surveillance System (NEISS), maintained by the Consumer Product Safety Commission (CPSC).8 The NEISS collects data on consumer product-and activity-related injuries from a nationally representative, stratified probability sample of approximately 100 hospital emergency departments across the United States. This robust sampling design allows for the calculation of weighted national estimates of injuries, providing valuable insights into injury epidemiology on a population level. The dataset included information on variables such as treatment date, patient age, sex, race, diagnosis, injured body part, patient outcome, location of injury, and two narrative descriptions. The NEISS was selected for this study due to its large sample size, detailed variables (e.g., diagnosis, body part, patient demographics), and its historically established validity and reliability for tracking orthopedic and sports-related injuries.9–19

2.2

2.2 Patient selection

This retrospective analysis examined lacrosse-related injuries over a 20-year period, from 2004 to 2023, to allow for a robust evaluation of long-term injury trends. Cases were identified using the NEISS product code specific to lacrosse (1215). To ensure the relevance of injury contexts, cases occurring outside designated sports and recreational settings (NEISS location code: 9) were excluded. To maintain data consistency and avoid confounding factors, cases from 2020 to 2021 were omitted. These years were marked by significant disruptions to organized sports, including widespread season cancellations and altered participation patterns due to the COVID-19 pandemic, rendering the injury data from this period anomalous and not comparable to other years.20–23 Additionally, cases involving multiple associated product codes were excluded to improve specificity and accurately isolate lacrosse-related injuries. The study focused on patients aged 14 to 23, categorized into two cohorts: the high school-age group (14–18 years) and the college-age group (19–23 years). Then, the analysis was narrowed to focus exclusively on upper extremity injuries, defined as those affecting the shoulder, upper arm, elbow, lower arm (forearm), wrist, hand, and fingers (Fig. 1).

Inclusion exclusion criteria.
Fig. 1 Inclusion exclusion criteria.
2.3

2.3 Variables

Injuries were classified by body region and injury type, including fractures, dislocations, strains/sprains, lacerations, contusions, abrasions, avulsions, and hematomas. Analyses also examined sex and age groups to evaluate their associations with specific injury types and body regions. Records with missing data were excluded from the analysis. The NEISS database classifies injuries by body part and type, including fractures, dislocations, strains/sprains, lacerations, contusions, abrasions, avulsions, and hematomas. While the NEISS database provides broad anatomical classifications for injuries, we outline potential injuries for each location to provide additional context. Upper arm injuries included fractures of the humeral shaft. Shoulder injuries included fractures of the clavicle, scapula, or proximal humerus. Elbow injuries affected the distal humerus, proximal ulna (including the olecranon), or proximal radius (including the radial head). For lower arm (forearm) injuries, fractures include the radius or ulna, typically in the forearm region. Wrist injuries involve fractures of the distal radius, distal ulna, or carpal bones. Hand injuries typically involve fractures of the metacarpal bones, while finger injuries involve fractures of the phalanges (proximal, middle, or distal) of specific digits. Throughout this article, we use terms such as “shoulder fracture” and “forearm fracture” to align with the NEISS classifications; these terms can encompass any of the specific injury types described above. This approach ensures consistency with the NEISS data while providing a clearer understanding of potential injury patterns within these broad categories.

2.4

2.4 Statistical analysis

Descriptive statistics summarized demographic characteristics (e.g., age, sex) and injury types across the study population. Pearson chi-square tests were conducted to evaluate associations between categorical variables, including injury type, body region, sex, and age group, and to identify significant differences in injury patterns between male and female athletes and across age groups of interest.

Data analysis was conducted using Stata Statistical Software 18.0 (College Station, TX: StataCorp LLC). Consistent with CPSC guidelines, weighted sampling techniques were applied to account for the NEISS database's survey design, including sampling strata and clustering variables. The Survey Estimation Module in Stata was used for these analyses. Weighted population estimates and 95 % confidence intervals (CIs) were derived using data from the National Federation of State High School Associations (NFHS) and the National Collegiate Athletic Association (NCAA). Incidence rates (IRs) were calculated per 1000 at-risk individuals, based on national estimates from NEISS and the total number of athletes recorded as participating in lacrosse in the NFHS and NCAA leagues. Incidence rate ratios (IRRs) and 95 % CIs were calculated to compare the rates between male and female athletes and between college-aged and high school-aged athletes. Two-sided P values were used for all IRRs, and Poisson regression was used to estimate incidence rate ratios and the corresponding CIs. Statistical significance was determined a priori at P < 0.05.

3

3 Results

In total, N = 140,694 patients in the high school-age (14–18 years) and college-age (19–23 years) (n = 4820 unweighted records) presented to the ED for a lacrosse-related injury from 2004 to 2023 (all future figures were calculated using weighted injury counts). Of these cases, N = 50,042 (35.35 %) patients presented to the ED with injuries in the upper extremity, constituting our study population. The overall incidence rate (IR) of upper extremity injuries over the study period was 14.61 injuries per 1000 athlete exposures (AEs) (95 % CI: 8.58–20.64). Fractures had the highest overall IR (5.61; 95 % CI: 3.54–7.68), followed by contusions (3.77; 95 % CI: 1.91–5.62) and strains or sprains (2.64; 95 % CI: 1.56–3.73). Among body regions, the shoulder had the highest overall incidence rate (4.51; 95 % CI: 2.68–6.34), followed by the finger (3.40; 95 % CI: 1.85–4.96) and the wrist (2.38; 95 % CI: 1.40–3.35). Fig. 2 shows the trend of IRs for the high school-age and college-age groups for upper extremity lacrosse injuries.

Line Graph Demonstrating Yearly Incidence Rate.
Fig. 2 Line Graph Demonstrating Yearly Incidence Rate.
3.1

3.1 Injuries by Patient Sex (Table 1)

Overall, the lacrosse-related upper extremity injury rate was 22.32 per 1000 AEs (95 % CI: 13.37 to 31.26) in males and 5.03 per 1000 AEs (95 % CI: 2.62 to 7.44) in females. Males had a substantially higher incidence rate (IRR: 4.44; 95 % CI: 4.33–4.55). Males had a significantly increased risk of dislocations (IRR = 13.23; 95 % CI; 11.01–16.23), fractures (IRR = 7.45; 95 % CI, 7.10–7.81), crushing injuries (IRR = 3.70; 95 % CI, 2.10–6.96), strains/sprains (IRR = 3.48; 95 % CI, 3.30–3.67), lacerations (IRR = 3.41; 95 % CI, 2.97–3.94), and contusions (IRR = 3.10; 95 % CI, 2.95–3.23). Furthermore, only males experienced injuries reported as avulsions, hemorrhages, and dermatitis; thus, an IRR was unable to be calculated because the incidence rate in the female cohort was zero, making the ratio undefined. There was no significant difference in the risk of hematomas between sexes (IRR = 0.86; 95 % CI, 0.68–1.07; p = 0.1657). Males were significantly more likely to sustain injuries across all upper extremity locations when categorizing injuries by body part; males had an increased risk of presenting to the emergency room with an injury to the upper arm (IRR = 12.24; 95 % CI, 9.76–15.55), elbow (IRR = 9.47; 95 % CI, 8.21–10.97), shoulder (IRR = 8.62; 95 % CI, 8.15–9.13), forearm (IRR = 6.74; 95 % CI, 6.20–7.34), wrist (IRR = 3.27; 95 % CI, 3.09–3.45), finger (IRR = 2.88; 95 % CI, 2.75–3.01), and hand (IRR = 2.32; 95 % CI, 2.17–2.47) injuries.

Table 1 Injury characteristics and population-adjusted incidence rates by sex.
Male Female
N %b Incidence per 1000 N %b Incidence per 1000 IRR (95 % CI)a P
Body Part
Shoulder 14,127 91.47 7.44 1318 8.53 0.86 8.62 (8.15–9.13) P < 0.0001
Finger 9109 78.15 4.80 2547 21.85 1.67 2.88 (2.75–3.01) P < 0.0001
Wrist 6531 80.25 3.44 1608 19.75 1.05 3.27 (3.09–3.45) P < 0.0001
Forearm 5215 89.34 2.75 622 10.66 0.41 6.74 (6.20–7.34) P < 0.0001
Hand 3738 74.22 1.97 1298 25.78 0.85 2.32 (2.17–2.47) P < 0.0001
Elbow 2426 92.19 1.28 206 7.81 0.13 9.47 (8.21–10.97) P < 0.0001
Upper Arm 1218 93.86 0.64 80 6.14 0.05 12.24 (9.76–15.55) P < 0.0001
P < 0.0001
Diagnosis
Fracture 17,352 90.25 9.14 1874 9.75 1.23 7.45 (7.10–7.81) P < 0.0001
Contusion 10,247 79.38 5.40 2661 20.62 1.74 3.10 (2.95–3.23) P < 0.0001
Strain or Sprain 7350 81.22 3.87 1700 18.78 1.11 3.48 (3.30–3.67) P < 0.0001
Other/Not Stated 3898 81.14 2.05 906 18.86 0.59 3.46 (3.22–3.72) P < 0.0001
Dislocation 1991 94.26 1.05 121 5.74 0.08 13.23 (11.01–16.03) P < 0.0001
Laceration 1040 80.92 0.55 245 19.08 0.16 3.41 (2.97–3.94) P < 0.0001
Avulsion 222 100.00 0.12 0 0.00 0.00
Hematoma 165 51.49 0.09 155 48.51 0.10 0.86 (0.68–1.07) 0.1657
Crushing 69 81.57 0.04 15 18.43 0.01 3.70 (2.10–6.96) P < 0.0001
Hemorrhage 16 100.00 0.01 0 0.00 0.00
Dermatitis 15 100.00 0.01 0 0.00 0.00
Male IR/Female IR.
Percentages represent the proportion of each specific injury/body part within that row.
3.2

3.2 Injuries by patient age group (Table 2)

In the high school-age group (14–18 years), the upper extremity injury rate was 14.49 per 1000 AEs (95 % CI: 8.39–20.60), whereas in the college-age group (19–23 years), the rate was 15.56 per 1000 AEs (95 % CI: 9.47–21.65). Athletes in the college-age group had a significantly higher increased risk of strains/sprains, (IRR = 1.20; 95 % CI, 1.11–1.31), dislocations (IRR = 2.37; 95 % CI, 2.14–2.63), hematoma (IRR = 3.15; 95 % CI, 2.44–4.04), avulsions (IRR = 7.08; 95 % CI, 5.39–9.30), and crushing (IRR = 1.94; 95 % CI, 1.12–3.35) injuries when compared to those in the high school-age group. Furthermore, only athletes in the college-age group experienced injuries reported as hemorrhages and dermatitis; thus, an IRR could not be calculated because the incidence rate in the high school-age cohort was zero, making the ratio undefined. On the other hand, athletes in the high school-age group had a significantly increased risk of fractures (IRR = 0.81; 95 % CI, 0.78–0.86), and there was no significant difference in the incidence of contusions or lacerations among the two cohorts. Athletes in the college-age group had a significantly higher likelihood of sustaining injuries to the shoulder (IRR = 1.46; 95 % CI, 1.40–1.53), finger (IRR = 1.23; 95 % CI, 1.11–1.37), and hand (IRR = 1.63; 95 % CI, 1.51–1.75), whereas athletes in the high school-age group were more prone to wrist (IRR = 0.53; 95 % CI, 0.49–0.59) forearm (IRR = 0.87; 95 % CI, 0.80–0.95), elbow (IRR = 0.79; 95 % CI, 0.67–0.93), and upper arm (IRR = 0.10; 95 % CI, 0.06–0.17) injuries.

Table 2 Injury characteristics and population-adjusted incidence rates by age group.
High School (14–18 y) College (19–23 y)
N %b Incidence per 1000 N %b Incidence per 1000 IRR (95 % CI)a P
Body Part
Shoulder 13,107 84.86 4.29 2338 15.14 6.27 1.46 (1.40–1.53) P < 0.0001
Finger 10,304 88.40 3.38 1353 11.60 3.63 1.23 (1.11–1.37) P < 0.0001
Wrist 7640 93.87 2.50 499 6.13 1.34 0.53 (0.49–0.59) P < 0.0001
Forearm 5276 90.39 1.73 561 9.61 1.50 0.87 (0.80–0.95) 0.0014
Hand 4202 83.43 1.38 835 16.57 2.24 1.63 (1.51–1.75) P < 0.0001
Elbow 2427 92.23 0.80 204 7.77 0.55 0.79 (0.67–0.93) P = 0.006
Upper Arm 1281 98.77 0.42 16 1.23 0.04 0.10 (0.06–0.17) P < 0.0001
Diagnosis
Fracture 17,485 90.95 5.73 1741 9.05 4.67 0.81 (0.78–0.86) P < 0.0001
Contusion 11,509 89.16 3.77 1399 10.84 3.75 0.99 (0.94–1.05) 0.8516
Strain or Sprain 7896 87.25 2.59 1154 12.75 3.09 1.20 (1.11–1.31) P < 0.0001
Other/Not Stated 4126 85.88 1.35 678 14.12 1.82 1.35 (1.23–1.49) P < 0.0001
Dislocation 1638 77.54 0.54 475 22.46 1.27 2.37 (2.14–2.63) P < 0.0001
Laceration 1135 88.33 0.37 150 11.67 0.40 1.09 (0.91–1.30) 0.360
Hematoma 231 72.19 0.08 89 27.81 0.24 3.15 (2.44–4.04) P < 0.0001
Avulsion 119 53.44 0.04 103 46.56 0.28 7.08 (5.39–9.30) P < 0.0001
Crushing 68 80.69 0.02 16 19.31 0.04 1.94 (1.12–3.35) P < 0.0001
Hemorrhage 16 100.00 0.01 0 0.00 0.00
Dermatitis 15 100.00 0.00 0 0.00 0.00
College IR/High School.
Percentages represent the proportion of each specific injury/body part within that row.
3.3

3.3 Injuries by Patient Sex & Age (Table 3)

The lacrosse athlete population was categorized by age and sex into four distinct cohorts: males in the high school-age group (14–18 years), females in the high school-age group (14–18 years), males in the college-age group (19–23 years), and females in the college-age group (19–23 years). Fractures were the most common injury across all groups, except among high school females, where contusions were most prevalent. However, when analyzing the specific body parts affected, males in both the high school-age and college-age groups were most likely to sustain elbow injuries, while females in both the high school-age and college-age groups most frequently injured their forearms.

Table 3 Injury characteristics and population-adjusted incidence rates by age group and sexa.
High School Male High School Female College Male College Female
N %b IRc N %b IRc N %b IRc N % IRc
Body Part
Shoulder 11,955 77.4 7.06 1152 7.46 0.85 2173 14.07 10.56 165 1.07 0.99
Finger 8055 69.1 4.76 2249 19.29 1.65 1055 9.05 5.13 298 2.56 1.78
Wrist 6191 76.07 3.66 1449 17.81 1.07 340 4.18 1.65 159 1.95 0.95
Forearm 4815 82.5 2.84 461 7.9 0.34 399 6.84 1.94 161 2.76 0.96
Hand 3075 61.05 1.82 1127 22.38 0.83 663 13.17 3.22 171 3.4 1.02
Elbow 2221 84.42 1.31 206 7.81 0.15 204 7.77 0.99 0 0 0.00
Upper Arm 1202 92.63 0.71 80 6.14 0.06 16 1.23 0.08 0 0 0.00
Diagnosis
Fracture 15,919 82.8 9.40 1566 8.14 1.15 1433 7.45 6.96 308 1.6 1.84
Contusion 9035 69.99 5.34 2474 19.17 1.82 1212 9.39 5.89 187 1.45 1.12
Strain or Sprain 6488 71.69 3.83 1408 15.56 1.04 862 9.53 4.19 291 3.22 1.74
Other/Not Stated 3317 69.06 1.96 808 16.83 0.59 580 12.08 2.82 98 2.03 0.59
Dislocation 1517 71.8 0.90 121 5.74 0.09 475 22.46 2.31 0 0 0.00
Laceration 890 69.25 0.53 245 19.08 0.18 150 11.67 0 0.73 0 0 0.00
Hematoma 146 45.74 0.09 85 26.45 0.06 18 5.75 0.09 71 22.06 0.42
Avulsion 119 53.44 0.07 0 0.00 0.00 103 46.56 0.50 0 0 0.00
Crushing 52 62.26 0.03 15 18.43 0.01 16 19.31 0.08 0 0 0.00
Hemorrhage 16 100 0.01 0 0.00 0.00 0 0 0.00 0 0 0.00
Dermatitis 15 100 0.01 0 0.00 0.00 0 0 0.00 0 0 0.00
Totals may vary slightly from other figures presented in the study due to rounding.
Percentages represent the proportion of each specific injury/body part within that row.
IR, incidence rate per 1000 athlete exposures.
4

4 Discussion

This study provides a comprehensive analysis of upper extremity injuries in lacrosse among high school and college-aged players, offering valuable insights for healthcare providers treating lacrosse athletes. The findings highlight significant patterns in injury distribution and reveal important differences based on sex and age group.

Between 2004 and 2023, an estimated 140,694 high school and college athletes sought emergency department care for lacrosse-related injuries. Of these cases, 50,042 (35.35 %) involved the upper extremities, emphasizing the substantial incidence of upper extremity injuries among lacrosse athletes. Notably, these figures appear higher than those reported in previous literature. For instance, Dick et al. found that upper extremity injuries accounted for only 26.2 % of in-game injuries and 16.9 % of practice injuries.24 However, their study focused solely on men's varsity college lacrosse and used the NCAA Injury Surveillance Program, which does not distinguish between outpatient and inpatient treatments. These limitations may contribute to the observed discrepancy. Furthermore, the overall incidence rate (IR) of upper extremity injuries was 14.61 injuries per 1000 athlete exposures (AEs). Studies report varying rates of upper extremity injuries, with incidence ranging from 4.9 per 1000 AEs during general play to as high as 19.6 per 1000 AEs in tournament settings.24–26 This study's incidence rate of upper extremity injuries appears to approach that of tournament settings, once again suggesting that incidence rates for high school and female athletes are higher than previously published studies. These studies, however, focused solely on men's lacrosse at high-competition levels with smaller sample sizes (NCAA or the World Lacrosse Championship), which may contribute to the discrepancies in results. In contrast, this study examined athletes across age groups and sexes, providing a broader perspective on injury trends. The inclusion of a more diverse population may help capture a more accurate representation of upper extremity injury patterns, suggesting that injury risk could be influenced by factors such as skill level, style of play, and physical demands at different levels of competition.

Despite the increasing popularity of lacrosse, the incidence of upper extremity injuries in lacrosse has decreased over the years (Fig. 2). This may be attributed to the addition of stricter rules to prevent unnecessary injuries, such as increased penalties for intentional hits, banning body checking on players in a defenseless position, and requiring increased protective equipment such as chest protectors.27–29 Fractures were the most common upper extremity injury, with a particular concentration in the hand and wrist. This aligns with previous research indicating that fractures account for up to 45 % of hand/wrist injuries in lacrosse.30 In addition, shoulder injuries were particularly common, especially among male players, where body checking is regularly permitted. According to Gardner et al., acromioclavicular joint and labral injuries are the most common, with 57 % of shoulder injuries caused by player-to-player contact and 25 % resulting from impact with the playing surface.31

This study revealed distinct, sex-specific patterns in upper extremity injuries. Male athletes demonstrated significantly higher rates of upper extremity injuries compared to females across all injury types, outside of hematomas which showed no significant difference (p = 0.1657). Specifically, men were 7.45 times more likely to experience a fracture and 13.23 times more likely to experience a dislocation. This disparity is consistent with previous studies, attributing the increased risk of high-impact injuries in males to the physical nature and rule differences in men's lacrosse. In women's lacrosse, body checking is prohibited, and stick checking is limited to below the shoulders, with contact allowed only on the pocket of the stick. In contrast, men's lacrosse permits body checking, and stick checks can target both the opponent's hands and the stick's shaft.32 Additionally, the men's game features a faster pace of play and higher shot velocities.33 The combination of these factors leads to a higher overall incidence of injuries across all body parts, as well as an increased risk of more severe injuries in male lacrosse players compared to their female counterparts. Research supports these differences in injury profiles based on differences in gameplay, with studies indicating that 45.9 % of injuries in men's lacrosse result from player-to-player contact, while in women's lacrosse, 42.1 % of injuries are attributed to contact with the ball or stick.24,34

Age-related trends revealed that high-school lacrosse athletes were more likely to sustain a fracture when compared to their collegiate counterparts (IRR = 0.81; 95 % CI, 0.78–0.86). This is likely due to the ongoing skeletal maturation in young individuals.35 Additionally, studies show that nearly one-third of children experience a fracture before the age of 17, with fractures accounting for 9 % of all childhood injuries.36 Conversely, collegiate lacrosse players have a 2.37 times higher risk of dislocation and are more likely to sustain an injury of the hand, wrist, and shoulder compared to high school athletes. This may be explained by the increased intensity and physicality of collegiate play as well as cumulative exposure to repetitive stress over time. Several studies suggest that older athletes tend to compete more aggressively and intensely, often possessing greater body mass and speed; these factors may contribute to a heightened risk of injury in contact sports.37–41 Roos et al. found that the rate of overuse injuries in college sports was 3.28 times higher than in high school sports.42 Similarly, Yerr et al. reported that among youth, high school, and collegiate lacrosse players, the rate of time-loss injuries (defined as participation restriction exceeding 24 h) per 1000 athlete exposures was highest at the collegiate level.41,43 This highlights the potential correlation between higher levels of competition and increased injury severity.

When further analyzing the population by age and sex, college males exhibited the highest incidence rates (IRs) for most injury types. However, fractures, hemorrhages, and dermatitis were most common among high school males, while hematomas were highest among college females. Additionally, both collegiate and high school males had the highest IRs across all body regions. This suggests that sex plays a larger role than age in lacrosse-related upper extremity injuries, likely due to the distinct differences in rules and style of play.

The predominance of fractures and shoulder injuries can largely be attributed to the biomechanics of lacrosse, including high-velocity stick swings, player-to-player contact, and falls, creating significant forces on the upper extremities. To mitigate these risks, several recommendations emerge from the findings. Improved design and enforcement of protective gear standards, particularly for gloves with enhanced padding, are critical for reducing fracture risks. Coaches should emphasize proper falling techniques and stickhandling to minimize injuries from falls onto outstretched hands (FOOSH). Implementation of injury prevention programs focusing on strengthening exercises for the shoulder girdle could help reduce dislocation risks.

These findings have important implications for athletes, coaches, and healthcare providers involved in lacrosse. The high incidence of upper extremity injuries, particularly fractures and dislocations, underscores the need for enhanced protective measures and targeted prevention strategies. Moreover, this information can be valuable in counseling patients about their risk of injury should they choose to participate in lacrosse, setting expectations on the likelihood of injury and re-injury. By addressing these challenges proactively, stakeholders can promote safer participation while preserving the integrity of this growing sport.

4.1

4.1 Limitations

While this study provides valuable insights into upper extremity injuries in lacrosse, it has several limitations. The reliance on NEISS emergency department data may not capture all lacrosse-related injuries, particularly those treated in other healthcare settings or managed by athletic trainers on the field. This could lead to an underestimation of less severe injuries and skew the overall injury profile.

The NEISS database lacks detailed information on specific play situations, player positions, and exact mechanisms of injury. This limits our ability to identify precise risk factors and develop targeted prevention strategies. Additionally, the database does not provide information on exposure time, making it challenging to calculate accurate injury rates per playing hour.

Another limitation is that diagnoses made in emergency departments, especially for “strains or sprains,” are often preliminary and may differ from final diagnoses made by specialists after advanced imaging and thorough evaluation. This could affect the accuracy of injury-type classifications in our study. Additionally, the NEISS database does not contain detailed clinical information regarding injury severity, specific diagnostic findings (e.g., fracture displacement), or subsequent treatments (e.g., operative vs. non-operative management). Therefore, we could not analyze factors related to injury severity or long-term outcomes.

The NEISS database also has limitations in its coding system. About a quarter of all included cases may have an “unknown” mechanism of injury, potentially obscuring the true causes of some injuries. Furthermore, the database's recent expansion to include multiple diagnoses and body parts per injury record may affect the comparability of data across different years.

5

5 Conclusion

This study provides a comprehensive analysis of upper extremity injuries in lacrosse among high school and college-aged players, offering valuable insights for athletes, coaches, and healthcare providers involved in lacrosse. The findings highlight significant patterns in injury distribution and reveal important differences based on sex and age group. These findings can help guide continued research, improved protective equipment, and tailored injury prevention strategies to ensure the long-term health and safety of lacrosse athletes at all levels of play.

Author contributions

All authors contributed to the design, drafting, editing, and final approval of this work.

Ethical approval

As the NEISS database contained deidentified information only, no institutional review board approval was required.

Credit author statement

Jacob M. Johnson: Conceptualization, Methodology, Validation, Formal Analysis, Investigation, Resources, Data Curation, Writing-Original Draft, Writing-Review & Editing, Project Administration, Visualization Peter V. Dinh: Conceptualization, Methodology, Data Curation, Writing-Original Draft, Writing-Review & Editing Timothy Reiad: Conceptualization, Methodology, Visualization, Validation, Formal Analysis, Data Curation, Writing-Original Draft, Writing-Review & Editing Simbarashe J. Peresuh: Conceptualization, Methodology, Writing-Original Draft, Writing-Review & Editing Stephen Wendolowski: Conceptualization, Methodology, Writing-Original Draft, Writing-Review & Editing David F. Bruni: Writing-Original Draft, Writing-Review & Editing Michel A. Arcand: Writing-Review & Editing, Project Administration Joseph A. Gil: Conceptualization, Methodology, Validation, Writing-Review & Editing, Project Administration, Supervision.

Consent lacrosse

Consent was not required for this study, as all data and results were obtained from a publicly available national database.

Statement of human and animal rights

All procedures followed were in accordance with the ethical standards of the responsible committee on human experimentation (institutional and national) and with the Helsinki Declaration of 1975, revised in 2008. No informed consent was obtained for this study.

Funding

This research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors.

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