Literature DB >> 30183572

Epidemiology of Upper Extremity Soccer Injuries Among High School- and College-Aged Players in the United States: An Analysis of the 1999-2016 NEISS Database.

Wesley M Durand1, Avi D Goodman1, Patricia Giglio1, Christine Etzel1, Brett D Owens1.   

Abstract

BACKGROUND: : Although lower extremity injuries are more common than upper extremity injuries in high school- and college-aged soccer players, upper extremity injuries may be equally severe. The epidemiology of upper extremity injuries is poorly characterized in this population. HYPOTHESIS:: Upper extremity injuries are an important contributor to soccer-related morbidity among high school- and college-aged players. STUDY
DESIGN: : Descriptive epidemiology study. LEVEL OF EVIDENCE:: Level 3.
METHODS: : The National Electronic Injury Surveillance System (NEISS) is a nationally representative sample of 100 hospital emergency departments (EDs). Each record contains demographic and injury information. Records from 1999 to 2016 were analyzed, including patients between the ages of 14 and 23 years with a soccer-related injury sustained at school or during an athletic event.
RESULTS: : A total of 1,299,008 high school- or college-aged patients presented to the ED for a soccer-related injury from 1999 to 2016, of which 20.4% were in the upper extremity. Patients were predominantly male (58.0%) and high school-aged (81.4%). Males constituted a greater proportion of upper extremity injuries when compared with other injury locations (63.5% male for upper extremity). Upper extremity injuries were more likely to be fractures (43.7% vs 13.9%) and dislocations (7.1% vs 3.4%) and less likely to be strains/sprains (27.8% vs 56.6%). Males suffered more shoulder dislocations (81.8% males among patients with shoulder dislocation vs 57.8% among those with other injuries), finger dislocations (72.0% vs 58.0%), upper arm fractures (74.9% vs 57.6%), and forearm fractures (68.3% vs 57.3%).
CONCLUSION: : Upper extremity injuries are frequent in high school- and college-aged soccer players presenting to the ED. Efforts to reduce soccer-related injuries should include strategies targeting the upper extremity, perhaps reducing the incidence of high-energy falls. CLINICAL RELEVANCE:: Efforts to reduce soccer-related injuries should include strategies targeting upper extremity injuries, particularly among males and college-aged players.

Entities:  

Keywords:  NEISS; epidemiology; soccer; upper extremity

Mesh:

Year:  2018        PMID: 30183572      PMCID: PMC6204636          DOI: 10.1177/1941738118795483

Source DB:  PubMed          Journal:  Sports Health        ISSN: 1941-0921            Impact factor:   3.843


Youth soccer participation in the United States has been increasing across all ages for the past 20 years.[15,20] Lower extremity injuries are more common and better studied compared with upper extremity injuries in athletic populations. High school– and college-aged players, however, may frequently experience upper extremity injuries, including severe injuries such as dislocations and fractures.[3,8,21] Data on the epidemiology, morbidity, and outcome of upper extremity injuries in soccer players are limited, potentially due to lack of academic interest. Upper extremity injuries, however, can have serious long-term consequences: Of soccer players 15 years or older with upper extremity fractures, 15% had not returned to play at 2 years, and 5% had persistent symptoms that impaired soccer ability.[23] Of these, clavicle and distal radius fractures were the most severe, while finger fractures had shorter recovery times.[23] Approximately half of high school soccer players who sustain a shoulder injury cannot return to sport for 3 or more weeks.[3] Other studies of male soccer players undergoing shoulder surgery report recovery times of 3 to 4 months before returning to full participation.[2,13] Among childhood soccer injuries treated in US emergency departments (EDs), 98.3% of patients were treated and released.[1,26] In pediatric soccer players presenting to a level 1 trauma center, 25% had injuries severe enough to require trauma activation and hospitalization, while another study found that 60.6% of patients who required admission had a fracture.[26,28] However, large-scale data describing the frequency and severity of upper extremity soccer injuries are limited. Epidemiologic data are critical for those monitoring ongoing efforts to minimize injury via rule or equipment changes. The purpose of this study was to determine the epidemiology of upper extremity injuries in high school– and college-aged soccer players presenting to EDs in the United States. A secondary purpose was to comprehensively characterize upper extremity injury epidemiology with regard to annual trend, month, body part, sex, and age group.

Methods

Data Sources

As the National Electronic Injury Surveillance System (NEISS) is a publicly available and deidentified database, this study was not considered human subjects research under 45 CFR part 46 and was therefore exempt from institutional review board review. The NEISS database is maintained by the Consumer Product Safety Commission.[5] The NEISS is a probability sample of 100 hospital EDs stratified based on hospital size, including weights that can be used to produce national estimates. Each record includes patient demographics, injury type (eg, body location, suspected injury diagnosis), and activities/products associated with the injury. Many orthopaedic investigations have used the NEISS to analyze injury epidemiology.[1,16,19,26,27,29,31]

Patient Selection

Records from 1999 through 2016 were analyzed for soccer-related injuries (code, 1267) occurring either at school or during sports among patients aged 14 to 23 years.

Dependent and Independent Variables

The primary outcome was injury occurrence. Independent variables included patient age, sex, diagnosis, and body part/region as well as month and year of injury. Patient age group was categorized as high school (14-18 years) or college (19-23 years). Injury diagnoses categorized as “other” included burns, amputations, crush injuries, foreign body injuries, electric shock, and dental injuries.

Statistical Analysis

Descriptive statistics across patient and injury characteristics were generated. Distribution of age group and sex for specific upper extremity injuries was determined, with proportions compared using chi-square or Fisher exact tests, as appropriate. Trends were assessed using logistic regression, with time as the independent variable and upper extremity injury versus injury in another location as the dependent variable. This approach allowed us to analyze trends in the proportion of upper extremity injuries over time. Records with missing data were excluded on a listwise basis. All analyses were completed using SAS software (version 9.4; SAS Institute). All analyses used statistical procedures that accounted for the NEISS survey design (eg, surveyfreq, surveymeans, surveylogistic). Statistical significance was set at P < 0.05 a priori.

Results

Demographics

In total, 1,299,008 high school and college patients (33,367 unweighted records) presented to the ED for a soccer-related injury from 1999 to 2016 (all future figures were calculated using weighted injury counts) (Table 1). Injuries followed a bimodal distribution, with peaks during the spring and fall, corresponding with soccer seasons. In particular, the September through October time period exhibited the largest numbers of both upper extremity and non–upper extremity injuries (33.9% of total injuries in September-October; n = 439,784).
Table 1.

Upper extremity injuries by sex and age group[a]

All InjuriesNon–Upper ExtremityUpper Extremity
Variablen%%%P
Sex<0.0001
 Male753,66958.056.663.5
 Female545,17142.043.436.5
Age group (y)<0.0001
 14-181,057,75281.480.983.4
 19-23241,25618.619.116.6

Total patient numbers may differ slightly due to missing data for patient sex.

Upper extremity injuries by sex and age group[a] Total patient numbers may differ slightly due to missing data for patient sex.

Injury Type and Pattern of Distribution

Upper extremity injuries were more likely to be fractures (P < 0.0001) and dislocations (P < 0.0001) and less likely to be strains/sprains (P < 0.0001) (Tables 2 and 3).
Table 2.

Injuries by body region and diagnosis (1999-2016)[a]

InjuryUpper ExtremityLower ExtremityHead and NeckTrunkTotal
Concussion
 No. of discharges0078,216078,216
 Percentage of total0.00.06.00.06.0
 Column percentage0.00.025.50.0
 Row percentage0.00.0100.00.0
Contusion, abrasion, laceration
 No. of discharges43,789118,355110,64336,928309,715
 Percentage of total3.49.18.52.823.9
 Column percentage16.518.836.038.3
 Row percentage14.138.235.711.9
Dislocation
 No. of discharges18,89121,30014324740,581
 Percentage of total1.51.60.00.03.1
 Column percentage7.13.40.00.3
 Row percentage46.652.50.40.6
Fracture
 No. of discharges115,90487,42923,8746336233,543
 Percentage of total8.96.71.80.518.0
 Column percentage43.713.97.86.6
 Row percentage49.637.410.22.7
Internal injury
 No. of discharges0065,765182067,585
 Percentage of total0.00.05.10.15.2
 Column percentage0.00.021.41.9
 Row percentage0.00.097.32.7
Strain, sprain
 No. of discharges73,765356,11013,18424,442467,501
 Percentage of total5.727.51.01.936.0
 Column percentage27.856.64.325.4
 Row percentage15.876.22.85.2
Other[b]
 No. of discharges12,64645,50515,32926,589100,069
 Percentage of total1.03.51.22.07.7
 Column percentage4.87.25.027.6
 Row percentage12.645.515.326.6
Total
 Number264,995628,699307,15596,3621,297,211
 Percentage20.448.523.77.4100.0

Row and column sums may differ slightly from indicated totals due to rounding.

Injury diagnoses categorized as “other” included burns, amputations, crush injuries, foreign body injuries, electric shock, and dental injuries.

Table 3.

Upper extremity injuries by body part and diagnosis (1999-2016)

InjuryShoulderUpper ArmElbowLower ArmHand or WristFingerTotal
Contusion, abrasion, laceration
 No. of discharges86764466855543617,090528643,789
 Percentage of total3.30.22.62.16.42.016.5
 Column percentage14.220.238.418.016.410.6
 Row percentage19.81.015.712.439.012.1
Dislocation
 No. of discharges11,1231621506182541418,891
 Percentage of total4.20.00.80.00.12.07.1
 Column percentage18.20.712.00.00.210.9
 Row percentage58.90.111.40.01.028.7
Fracture
 No. of discharges23,9601115364921,87643,30322,001115,904
 Percentage of total9.00.41.48.316.38.343.7
 Column percentage39.250.320.472.541.644.3
 Row percentage20.71.03.118.937.419.0
Strain, sprain
 No. of discharges14,6692574237164837,98114,97273,765
 Percentage of total5.50.11.60.614.35.627.8
 Column percentage24.011.623.75.536.530.1
 Row percentage19.90.35.72.251.520.3
Other[b]
 No. of discharges268238096311935428199912,646
 Percentage of total1.00.10.40.52.00.84.8
 Column percentage4.417.25.44.05.24.0
 Row percentage21.23.07.69.442.915.8
Total
 Number61,110221517,85430,159103,98449,672264,995
 Percentage23.10.86.711.439.218.7100.0

Row and column sums may differ slightly from indicated totals due to rounding.

Injury diagnoses categorized as “other” included burns, amputations, crush injuries, foreign body injuries, electric shock, and dental injuries.

Injuries by body region and diagnosis (1999-2016)[a] Row and column sums may differ slightly from indicated totals due to rounding. Injury diagnoses categorized as “other” included burns, amputations, crush injuries, foreign body injuries, electric shock, and dental injuries. Upper extremity injuries by body part and diagnosis (1999-2016) Row and column sums may differ slightly from indicated totals due to rounding. Injury diagnoses categorized as “other” included burns, amputations, crush injuries, foreign body injuries, electric shock, and dental injuries.

Injuries by Patient Sex

Males were disproportionately represented among patients presenting with shoulder dislocations (81.8% male among shoulder dislocations vs 57.8% male among all other injuries in the sample; P < 0.0001), finger dislocations (72.0% vs 58.0%; P = 0.0068), upper arm fractures (74.9% vs 57.6%; P < 0.0001), and lower arm fractures (68.3% vs 57.3%; P < 0.0001).

Injuries by Patient Age

College-aged patients were similarly disproportionately represented among those presenting with shoulder dislocation (51.0% college-aged among shoulder dislocation patients vs 18.3% college-aged among all other injuries in the sample; P < 0.0001) and finger dislocation (36.1% vs 18.5%; P < 0.0001) but constituted a significantly lower proportion of patients with lower arm fracture (14.1% vs 18.9%; P < 0.0001).

Discussion

Male patients were disproportionately represented among soccer players presenting to the ED for upper extremity injuries, as well as players with particularly severe upper extremity injuries (eg, dislocations and fractures). Patients with upper extremity injury were disproportionately high school–aged, though patients presenting specifically with dislocations of the upper and lower extremities were disproportionately college-aged. While lower extremity injuries predominate among youth soccer players, upper extremity injuries contribute significantly to overall soccer-related morbidity.[1,16,18,28] It is possible that upper extremity injuries in soccer tend to be of higher severity than lower extremity injuries given the greater kinetic energy associated with falls. The analysis of soccer data in the National Collegiate Athletic Association (NCAA) Injury Surveillance Program supports this hypothesis: Fractures were more likely to occur during a game than practice and more likely to affect the upper extremity, usually due to falling on an outstretched hand (hand, wrist, and finger injury) or landing on the shoulder (clavicle fracture).[24] Higher rates of upper extremity injuries have been reported in male athletes, though the results are mixed.[4,6,7,9,10,12,14,22,25] Darrow et al[7] found higher rates of shoulder and hand/finger injuries in male high school soccer players presenting to athletic trainers. Males also accounted for the vast majority of elbow dislocations among high school athletes.[9] The investigation by Hibberd et al[14] of NCAA data also indicated higher rates of acromioclavicular joint sprain among male versus female soccer players. Yard et al,[30] however, observed no difference in the proportion of upper extremity injuries among male versus female high school soccer players. With regard to our findings, it is possible that male and high school–aged soccer players experience a greater number of falls during sport, predisposing to a greater number of upper extremity injuries. Even if this hypothesis is correct, however, the cause of such falls remains unknown. Dislocations and fractures were arguably the most severe upper extremity injuries prominent in our sample and disproportionately affected male players. Previous studies of soccer-related injury epidemiology have produced mixed results on sex-based differences in injury severity, though these studies have primarily examined lower extremity injuries.[7,8,11,23,24,30] It is possible that particularly high–kinetic energy injuries occur more frequently among male youth soccer players, accounting for this relative disparity. Alternatively, it is possible that male youth soccer players disproportionately present to the ED for upper extremity injuries of higher severity. Patients presenting with upper extremity dislocations were more likely to be college- than high school–aged. Krauetler et al[17] similarly found that college athletes had a higher rate of shoulder dislocation injuries than high school athletes, with surgery being performed to correct 28% and 29.6% of shoulder dislocations in high school and college athletes, respectively. It is possible that college-aged athletes experience more dislocation injuries simply because of higher cumulative likelihood of past dislocation (ie, more years of exposure) and subsequent predisposition to future dislocations. If true, this hypothesis suggests that early intervention to reduce the rate of dislocation injuries at the high school or even pre–high school level may ultimately benefit players of all ages. This investigation has several limitations. The NEISS collects generalized data regarding injuries and therefore lacks many variables that would be of interest in orthopaedic care (eg, specific mechanism of injury, fracture pattern, history of dislocation). Furthermore, the NEISS lacks information on long-term outcomes, including need for surgery, functional outcomes, and return to play. As with all retrospective data set analyses, these results are influenced by coding bias and unknown confounding variables. Because this sample consisted of only patients presenting to the ED, this probably represents inclusion bias as these patients likely have more severe injuries compared with the total population of injured soccer players.[16] This limits the generalizability of these results to total soccer-related injuries, although is useful for looking at this subset of more severe injuries.

Conclusion

Soccer players presenting to the ED with upper extremity injuries were disproportionately male and high school–aged. Patients with upper extremity dislocations and fractures were disproportionately male, and those with dislocations were also disproportionately college-aged.
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Authors:  Elizabeth E Hibberd; Zachary Y Kerr; Karen G Roos; Aristarque Djoko; Thomas P Dompier
Journal:  Am J Sports Med       Date:  2016-04-22       Impact factor: 6.202

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6.  Epidemiology of 1.6 million pediatric soccer-related injuries presenting to US emergency departments from 1990 to 2003.

Authors:  Robert E Leininger; Christy L Knox; R Dawn Comstock
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Review 7.  Epidemiology of collegiate injuries for 15 sports: summary and recommendations for injury prevention initiatives.

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8.  Epidemiology of 3825 injuries sustained in six seasons of National Collegiate Athletic Association men's and women's soccer (2009/2010-2014/2015).

Authors:  Karen G Roos; Erin B Wasserman; Sara L Dalton; Aaron Gray; Aristarque Djoko; Thomas P Dompier; Zachary Y Kerr
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9.  Epidemiology of severe injuries among United States high school athletes: 2005-2007.

Authors:  Cory J Darrow; Christy L Collins; Ellen E Yard; R Dawn Comstock
Journal:  Am J Sports Med       Date:  2009-06-16       Impact factor: 6.202

10.  Epidemiology of Shoulder Dislocations in High School and Collegiate Athletics in the United States: 2004/2005 Through 2013/2014.

Authors:  Matthew J Kraeutler; Dustin W Currie; Zachary Y Kerr; Karen G Roos; Eric C McCarty; R Dawn Comstock
Journal:  Sports Health       Date:  2017-05-30       Impact factor: 3.843

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