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Characteristics of sports and recreation-related emergency department visits among school-age children and youth in North Carolina, 2010–2014

Abstract

Background

Sports and recreational activities are an important cause of injury among children and youth, with sports-related traumatic brain injuries (TBIs) being of particular concern given the developing brain. This paper reports the characteristics of sport and recreation-related (SR) emergency department (ED) visits among school-age children and youth in a statewide population.

Methods

This study included all injury-related visits made to all North Carolina 24/7 acute-care civilian hospital-affiliated EDs by school-age youth, 5–18 years of age, during 2010–2014 (N = 918,662). Population estimates were based on US decennial census data. Poisson regression methods were used to estimate incidence rates and rate ratios.

Results

During the five-year period, there were 767,075 unintentional injury-related ED visits among school-age youth, of which 213,518 (27.8%) were identified as SR injuries. The average annual absolute number and incidence rate (IR) of SR ED visits among school-age youth was 42,704 and 2374.5 ED visits per 100,000 person-years (95% confidence interval [CI], 2364.4–2384.6), respectively. In comparison to other unintentional injuries among school-age youth, SR ED visits were more likely to be diagnosed with an injury to the upper extremity (Injury Proportion Ratio [IPR] = 1.28; 95% CI, 1.27–1.29), the lower extremity (IPR = 1.14; 95% CI, 1.13–1.15), and a TBI or other head/neck/facial injury (IPR = 1.12; 95% CI, 1.11–1.13).

Among ED visits made by school-age youth, the leading cause of SR injury was sports/athletics played as a group or team. The leading cause of team sports/athletics injury was American tackle football among boys and soccer among girls. The proportion of ED visits diagnosed with a TBI varied by age and sex, with 15–18 year-olds and boys having the highest population-based rates.

Conclusions

Sports and recreational activities are an important component of a healthy lifestyle, but they are also a major source of injury morbidity among school-age youth. Physical activity interventions should take into account sex and age differences in SR injury risk.

Background

Physical activity, along with a healthy diet, is one of the most commonly suggested solutions to the childhood overweight and obesity epidemic (Ebbeling et al. 2002; Goran et al. 1999). Despite the benefits of physical activity and organized sports participation, there are inherent risks to engaging in physical activity, in particular, risk of injury (Marshall and Guskiewicz 2003). Children and youth bear a disproportionate burden of sports and recreation-related (SR) injuries, with an estimated two-thirds of all medically attended SR injuries occurring among 5–24 year-olds (Centers for Disease Control and Prevention 2002; Conn et al. 2003). As compared to other types of injury, youth are more likely to have a diagnosis of a strain/sprain, fracture, superficial wound/contusion, and traumatic brain injury (TBI), including concussion (Burt and Overpeck 2001). TBIs are of particular concern because of the potential for possible long-term adverse health outcomes (Andruszkow et al. 2014; Babikian and Asarnow 2009; Sariaslan 2016; Taylor et al. 2002).

Most prior studies of SR injuries have used survey or sampling methods to estimate incidence. In addition, many of these publications are greater than 10 years old and have focused on high school and college athletes. This is one of the first studies to use a broad definition to describe the characteristics and incidence of sports and recreation-related injury and TBI among school-age youth in a well-defined population, only.

Methods

This population-based descriptive epidemiologic study examined the incidence, circumstances, and characteristics of SR injuries in children and youth. All NC ED visits for SR injury made by children 5–18 years of age during the period January 1, 2010 – December 31, 2014 were included. A broad and inclusive definition of SR injury was utilized, based on a public health model that underscores the importance of children developing lifetime patterns of healthy public activity within an environment of effective public health interventions designed to minimize injury risk (Marshall and Guskiewicz 2003).

Injury ascertainment

The ED visit data were obtained from the North Carolina Disease Event Tracking and Epidemiologic Collection Tool (NC DETECT) for the period January 1, 2010 – December 31, 2014. The Department of Emergency Medicine at the University of North Carolina at Chapel Hill and the NC Division of Public Health operate NC DETECT for the purpose of timely syndromic public health surveillance as mandated under state law since 2005 (Carolina Center for Health Informatics 2017; North Carolina State Government 2004). As of December 31, 2014, NC DETECT collected ED visit data from 123 acute-care, hospital-affiliated, civilian EDs in the state, representing an estimated 99% of total NC ED visits (Carolina Center for Health Informatics 2017; Harmon et al. 2012). During the five-year period of study, NC DETECT collected over 23 million ED visits, with an average of 4.7 million ED visits per year (Carolina Center for Health Informatics 2017).

An ED visits was defined as injury-related if it received an ICD-9-CM External Cause of Injury Code (E-code) indicating a valid mechanism of injury, and unintentional-injury-related if it contained an E-code indicating an injury of an unintentional intent (i.e. an injury not inflicted on purpose; “accidental”) in the range of E800-E869 or E880-E929 (National Center for Injury Prevention and Control 2007; National Center for Injury Prevention and Control 2014). The NC Division of Public Health and the University of North Carolina at Chapel Hill approved this study.

Case definition of a sports and recreation-related (SR) injury

The E-code-based case definition of SR injury was designed specifically for this study. Table 2 contains a list and brief description of the E-codes included in the definition of SR injury. For certain categories of sports and recreational activities, E-codes were grouped together due to the relatedness of the E-codes and/or due to small numbers of ED visit totals.

NC DETECT captures up to five E-codes for each patient visit. When multiple E-codes met the case definition (Table 2), the ED visit was classified according to the most specific E-code. For example, if an individual patient visit contained the following two E-codes: E849.4 (place for recreation and sport) and E007.0 (American tackle football), then ED visit was classified as being due to American tackle football. If the patient visit contained two E-codes of similar specificity, the visit was classified according to the first listed E-code. For example, if an ED visit contained the following two E-codes: E001.0 (walking, marching and hiking) and E001.1 (running), the ED visit would be classified as being due to walking, marching, and hiking. Table 1 contains the order in which E-codes were assigned, with “1” (e.g. E006.2 “Activities involving golf”) referring to the highest level of specificity and “7” referring to the lowest level of specificity (e.g. E849.4 “Accidents occurring in place for recreation and sport”). Over two-thirds of ED visits contained only one E-code for a SR (68.0%), with 26.0% and 6.0% of ED visits contained two and three E-codes for a SR injury, respectively.

Table 1 Selected characteristics of unintentional injury-related ED visits among school-age children: NC, 2010–2014

Case definition of a traumatic brain injury (TBI)

This study used the Centers for Disease Control and Prevention (CDC) TBI case definition to identify ED visits due to TBIs. The CDC TBI definition comprises ICD-9-CM codes 800.00–801.99 (fracture of the vault or base of the skull); 803.00–804.99 (other or multiple fractures of the skull); 850.0–850.9 (concussion); 851.00–854.99 (intracranial injury); 950.0–950.9 (optic chiasm, optic pathways, or visual cortex); and 959.01 (head injury, unspecified) (Marr and Coronado 2004). The following code was excluded from the definition: 995.55 “shaken infant syndrome”. As NC DETECT collects up to eleven ICD-9-CM diagnosis codes per patient visit, the ED visit was classified as being due to a TBI if the visit contained a TBI diagnosis code in any position. The majority of ED visits contained one diagnosis code for TBI (90.8%) while the maximum number of diagnosis codes for TBI was five (0.01%).

Covariates

Sociodemographic covariates included patient sex, patient age (categorized as 5–9, 10–14, and 15–18 years), and urban-rural classification based on NC county of residence. Patient county of residence was classified according to US Census urban-rural designations (urban, mostly rural, completely rural, and out-of-state) (US Census Bureau 2016).

This study also examined discharge disposition (admitted, died, discharged from the ED, and other disposition), mode of transport (walk-in, ambulance, and other specified mode of transport), expected source of medical payment (Medicaid, insurance company, self-pay, and other specified source of payment), seasonality of visit (December–February, March–May, June–August, and September–November), and time of visit (12:00–5:59 AM, 6:00–11:59 AM, 12:00–5:59 PM, and 6:00–11:59 PM).

Injury diagnoses were categorized using the Barell Injury Diagnosis Matrix according to the nature of injury (e.g. fracture) and location (e.g. upper extremity) using the first listed ICD-9-CM injury diagnosis code (Barell et al. 2002).

Statistical analysis

This study used descriptive epidemiologic methods such as the Pearson’s chi-square test and Fisher’s exact test (for expected cell counts < 5) to characterize SR ED visits. In addition, injury proportion ratios (IPRs) and 95% confidence intervals (CIs) were calculated to compare differences among Barell Injury Diagnosis Matrix classifications between SR injuries and other unintentional injuries. All 95% CIs not containing 1.00 for IPRs were considered statistically significant with an IPR > 1.00 suggesting a risk association (Knowles et al. 2010). As an example, the following calculation compares the proportion of SR upper extremity fractures to the proportion of fractures due to other types of unintentional injury:

$$ IPR=\frac{\left(\frac{Number\ of\ SR\ ED\ visits\ with\ an\ upper\ extremity\ fracture\ }{Total\ number\ of\ SR\ ED\ visits}\right)}{\left(\frac{Number\ of\ other\ unintentional\ injury- related\ ED\ visits\ with\ an\ upper\ extremity\ fracture}{Total\ number\ of\ other\ unintentional\ injury- related\ ED\ visits}\right)} $$

There is no comprehensive and systematic data collection method that enumerates exposure to sports and recreational activity in the US. Therefore, the denominator for all rate calculations consisted of the NC resident population of 5–18 year-olds. All rates are presented per 100,000 person-years to ensure comparability across the thousand-fold range of incidence. Age group and sex specific incidence rates were calculated using the National Center for Health Statistics bridged-race mid-year population estimates for NC as the denominator (National Center for Health Statistics 2016). The numerator included visits from non-NC residents as well as NC residents. Out-of-state residents were included in the numerator (injury cases) because comprehensive data for out-of-state ED visits by NC residents were not readily available and excluding NC ED visits by out-of-state residents would introduce a downwards bias in the rates. Incidence rate estimates and 95% confidence intervals (CIs) were generated using a Poisson model. All analyses were performed using SAS software, version 9.4 (SAS Institute, Inc.; Cary, NC).

Results

Injury incidence

During the period 2010–2014, 767,075 (27.6%) ED visits were identified as being due to unintentional injury mechanisms, out of a total 2.8 million ED visits among children 5–18 years of age. Of these 767,075 unintentional-injury related ED visits, 213,518 visits (27.8%) were related to SR activities. From 2010 through 2014, there was an annual average number of 42,704 SR NC ED visits or 2374.5 (95% CI, 2364.4–2384.6) ED visits per 100,000 person-years among school-age youth, 5–18 years of age. SR injuries accounted for 27.8% of all ED visits unintentional injury among school-age children.

Selected characteristics of emergency department visits

Table 1 displays the characteristics of ED visits due to total unintentional injury-related ED visits in comparison to SR ED visits among youth, 5–18 years of age. About two-thirds of all SR ED visits involved boys, a higher proportion than total unintentional injury-related ED visits. In the majority of SR and unintentional injury-related ED visits, the patient was discharged from the ED without admission to the hospital. The most common mode of transport to the ED for both SR and total unintentional injury-related ED visits was “walk-in” to the ED via private or public transportation; however, the proportion was slightly higher for SR ED visits (88.2%) versus total unintentional injury-related ED visits (85.2%). Among SR ED visits, the most commonly cited expected source of payment was Medicaid (42.7%) followed by insurance company (38.5%). The fall and spring seasons contained the highest proportion of ED visits for both SR and total unintentional injury-related ED visits, but SR ED visits exhibited greater seasonal trends, with more pronounced differences between fall/spring and winter/summer seasons. For both SR and unintentional injury-related ED visits, the time of day with the highest proportion of visits was during evening hours of 6:00–11:59 PM.

Table 2 displays the case definition for SR injuries organized by E-code category. The three most common E-code categories observed among school-age children and youth 5–18 years of age was “Sports/athletics played as a group or team” (e.g. American tackle football, basketball, and soccer), “other outdoor recreational activities” (e.g. outdoor activities such as roller-skating/skateboarding and snow/off-road vehicles), and “falls/struck by/against in sports”.

Table 2 Sports/Recreation-related ED visits among school-age children: NC, 2010–2014

Location and nature of injury

Table 3 compares SR ED visits and ED visits due to other unintentional injury mechanisms, as classified by the Barell Injury Diagnosis Matrix. Among SR ED visits, the most common location of injury was upper extremities, lower extremities, and head/face/neck. Fractures of the upper extremity were particularly common in comparison to the proportion of injuries that were due to upper extremity fractures among ED visits due to other mechanisms of unintentional injury (6.1%; IPR: 2.44 [95% CI, 2.40–2.48). In addition, both lower extremity, lower extremity strains/sprains, and upper extremity sprains/strains were nearly twice as common among SR ED visits relative to other unintentional injury mechanisms.

Table 3 Unintentional injury-related ED visits among school-age children, by Barell injury diagnosis category: NC, 2010–2014

NC DETECT contains data fields for up to eleven diagnoses. Among SR ED visits, 5.0% of visits had a diagnosis of TBI in the first data field and 12.0% of SR ED visits had a diagnosis of TBI in any one of the eleven available data fields. The proportion of SR ED visits with a diagnosis of TBI was higher than that for other unintentional injury mechanisms (1.8%; IPR = 2.74 [95% CI, 2.66–2.82]). Although not as common, fractures to the head/face/neck were also higher among SR ED visits (0.9%; IPR = 2.90 [95% CI, 2.71–3.11]).

Activity at time of injury

Tables 4 and 5 display the absolute numbers and incidence rates of injury-related ED visits as well as the proportion of these visits with a diagnosis of TBI, stratified by the type of sport or recreational activity for age group and sex. Among 5–9 year-olds, the most common category of sport and recreational injury was activities involving “play and other activities, usually unstructured” such as “falls from playground equipment”. On the other-hand, “sports/athletics played as a group or team” were by far the most common activity for 10–14 and 15–18 year-olds. Among 10–14-year-olds, American tackle football was the most common cause of injury related to team sports; however, among 15–18 year-olds, basketball was the most common cause of injury related to team sports. For recreational activities, the most common cause of injury was pedal cycling for both 5–9 and 10–14-year-olds. Among 15–18-year-olds, the most common cause of injury was “falls and other injuries resulting from roller skating and skateboarding”. Regarding sports/athletic categories with a diagnosis of TBI, the category of sport with the highest proportion of TBI was American touch/flag football among 5–9-year-olds and rugby among 10–14 and 15–18 year-olds (33.3 and 29.1% respectively). Among recreational activities, the activity with the highest proportion of TBI across all age groups was water-skiing (Table 4).

Table 4 Age-group specific rates of sports/recreation-related injuries and proportions of TBI among school-age children: NC, 2010–2014
Table 5 Sex-specific rates of sports/recreation-related injuries and proportions of TBI among school-age children: NC, 2010–2014

There was also a difference in injury patterns by sex. Except for volleyball, rates of “sports/athletics played as a group or team” were higher among boys for all listed sports categories. Among boys, rates of ED visits due to American tackle football were highest, while for girls, rates of basketball-related ED visits were highest for team sports/athletics. Not all categories of sports/recreational activities were higher for boys, however. Girls were nearly nine times more likely to visit an ED due to “activities involving dancing and rhythmic movement” than boys (Table 5). In terms of TBI diagnosis, the three sports/athletics activities with the greatest proportion of TBI-related ED visits among boys were rugby (29.3%), lacrosse/field hockey (22.6%), and American touch/flag football (17.0%). Among girls, the three sports/athletics activities with the greatest proportion of TBI-related ED visits were rugby (32.1%), lacrosse/field hockey (26.6%), and soccer (16.1%) (Table 5).

Discussion

This study used a broad case definition to identify SR ED visits among school age children and youth in a large, well-defined US population. Results indicate that injuries due to sport and recreational activities have substantial high incidence and represent a potentially serious public health problem in the population. There are approximately 43,000 ED visits per year in NC for youth sports injury, 12% of which received a diagnosis of TBI. In addition, much of the literature has focused on more severe SR injuries resulting in hospitalization and death. These injuries represent the “tip of the iceberg” of the total number of SR injuries (Muller et al. 2005). ED visit data provide a more comprehensive picture of the total number, type, and severity of injuries associated with SR activities (Andrew et al. 2012; Dempsey et al. 2005; Gabbe et al. 2005; Gao et al. 2010; Yang et al. 2007).

Consistent with previous population-based studies of SR injuries, fractures and strains/sprains of the upper and lower extremities were the most common types of injuries identified in this study (Bijur et al. 1995; Burt and Overpeck 2001; Conn et al. 2003). There were also more diagnoses of TBI among SR ED visits than other mechanisms of unintentional injury. NC DETECT ED visit data do not capture information on medical cost or length of hospital stay. However, due to the higher proportion of TBI diagnosis reported among SR ED visits, it is possible that these visits may have greater long-term cost than other types of unintentional injuries among children. Previous studies have found that diagnoses of even mild to moderate TBI are associated with high medical costs and may result in sequelae requiring long-term medical care (Leibson et al. 2012; Schneier et al. 2006; Taylor et al. 2002).

Consistent with the literature, population-based rates of SR injuries were higher among boys in comparison to girls (Burt and Overpeck 2001; Conn et al. 2003; Howard et al. 2014). This likely reflects different patterns of participation; that is, the elevated incidence rate among boys is likely a reflection of their greater participation in organized sports activities. These findings may also reflect differences in the perception of risk, variation in the likelihood of injury, and gender differentials in care-seeking by parents (Morrongiello and Rennie 1998; National Federation of High Schools 2016).

Incidence rates of SR injury peaked among children 10–14 years of age. The rate of SR injury declined by 26% among 10–14 and 15–18 year-old girls. Meanwhile, the corresponding decrease among boys was less than 1 %. While physical activity levels tend to decrease in adolescence for both sexes, the baseline level of physical activity and the age at which activity levels start to decline is lower for girls than boys (Caspersen et al. 2000; Sallis 1993).

The team sports with the greatest proportion of ED visits with a diagnosis of TBI were rugby and lacrosse/field hockey. The sport with the highest population-based incidence of TBI was American tackle football. Overall, boys had higher incidence rates of SR TBIs. However, for select sports such as basketball, baseball/softball, rugby, and soccer, the proportion of ED visits with a diagnosis of TBI was higher for girls than boys. This finding is consistent with prior literature indicating that girls may be at a greater risk for several types of sports injuries, including knee injuries and TBIs, than boys (Caine et al. 2008; Darrow et al. 2009; Gessel et al. 2007; Powell and Barber-Foss 2000). In particular, soccer has a relatively high risk of acute injury, especially among girls (Koutures and Gregory 2010). Soccer-related TBIs are most commonly caused by collision with other players, contact with the ground, inadvertent contact with the ball, and intentional contact with the ball (“heading”) (Gessel et al. 2007). While prevention efforts have often focused on instructing children in proper heading technique, or banning heading altogether, it is unclear whether these efforts have made much of an impact on preventing TBIs among children (Comstock et al. 2015; Delaney and Frankovich 2005).

Similar to other states, NC has developed legislation and prevention programs for preventing and managing sports injuries, particularly TBIs (Bloom 2015; Gopfert et al. 2017). In general, these programs have increased the availability of certified athletics trainers at schools; have improved education of coaching staff, student-athletes, and parents; and have led to the development of return-to-play guidelines after TBI. In addition to school-based programs, the medical community has an important role in tackling SR injuries. For example, NC student-athletes with a diagnosis of TBI must be cleared by a physician before returning to play. Therefore, EDs have developed programs linking patients with community services, such as designated concussion clinics, designed to promote TBI recovery and prevent future injuries (WakeMed Health and Hospitals 2009). While these school- and healthcare-based programs are commendable, they often fail to address injury among younger student-athletes and do little to prevent injury due to unorganized sports and recreational activities.

This study has several limitations. NC DETECT ED visit data are collected by hospitals for clinical, billing, and other administrative purposes. The use of these data for public health surveillance is a secondary function. However, data missingness was low (< 15%) for individual data elements used in analyses. Another limitation of this study is related to the use of statewide NC ED visit data. While population-based studies have many strengths, results may not be generalizable to other jurisdictions. Although NC is a large state, (ranked 9th in the US in terms of population) the distribution of physical activity, as well as injury and healthcare usage, may differ from other regions of the US. Ice hockey and lacrosse, for example, have strong regional bases in the mid-east, mid-west, and north-east regions, but currently are less popular in the south, whereas there is less regional variation in participation in sports such as baseball, softball, soccer, football, and basketball.

Finally, the broad definition of sports and recreational activities used in this study included organized school sports, organized community sports, unorganized sports, and recreational outdoor activities. While this comprehensive definition is a strength, it precluded the use of specific activity-time denominators for the calculation of exposure-based rates due to the lack of exposure data sources at the population level in NC (or any other US jurisdiction). While this study identified American tackle football, basketball, and soccer as the three organized sports activities with the highest population-based rates of injury, it is possible that the use of an exposure-based denominator would produce a different results.

Conclusion

Sports and recreational activities are an important source of morbidity among school-aged children and youth in North Carolina. This is one of the first descriptive epidemiologic studies to use a comprehensive definition to characterize sports and recreation-related injury in a well-defined United States population. In addition, this study indicates that physical activity promotion programs should take into account differences in risk of sports and recreation-related injury by sex and age group.

Abbreviations

CDC:

Centers for Disease Control and Prevention

CI:

Confidence interval

E-code:

External cause of injury code

ED:

Emergency department

ICD-9-CM:

International Classification of Diseases, Ninth Revision, Clinical Modification

IPR:

Injury proportion ratio

IR:

Incidence rate

NC DETECT:

North Carolina Disease Event Tracking and Epidemiologic Collection Tool

NC:

North Carolina

NEC:

Not elsewhere classified

NFHS:

National Federation of High Schools

SR:

Sports and recreation-related

TBI:

Traumatic brain injury

US:

United States

References

  • Andrew NE, Gabbe BJ, Wolfe R, Cameron PA. Trends in sport and active recreation injuries resulting in major trauma or death in adults in Victoria, Australia, 2001–2007. Injury. 2012;43(9):1527–33.

    Article  Google Scholar 

  • Andruszkow H, Deniz E, Urner J, Probst C, Grün O, Lohse R, et al. Physical and psychological long-term outcome after traumatic brain injury in children and adult patients. Health Qual Life Outcomes. 2014;12:26.

    Article  Google Scholar 

  • Babikian T, Asarnow R. Neurocognitive outcomes and recovery after pediatric TBI: meta-analytic review of the literature. Neuropsychology. 2009;23(3):283–96.

    Article  Google Scholar 

  • Barell V, Aharonson-Daniel L, Fingerhut LA, Mackenzie EJ, Ziv A, Boyko V, et al. An introduction to the Barell body region by nature of injury diagnosis matrix. Inj Prev. 2002;8(2):91–6.

    Article  Google Scholar 

  • Bijur PE, Trumble A, Harel Y, Overpeck MD, Jones D, Scheidt PC. Sports and recreation injuries in US children and adolescents. Arch Pediatr Adolesc Med. 1995;149(9):1009–16.

    Article  Google Scholar 

  • Bloom OJ. Gfeller-Waller concussion awareness act. NC Med J. 2015;76(2):90–1.

    Google Scholar 

  • Bronnert J. Assigning E-Codes: two new sections go into effect October 1. J AHIMA. 2009;80(9):70–1.

    Google Scholar 

  • Burt CW, Overpeck MD. Emergency visits for sports-related injuries. Ann Emerg Med. 2001;37(3):301–8.

    Article  Google Scholar 

  • Caine D, Maffulli N, Caine C. Epidemiology of injury in child and adolescent sports: injury rates, risk factors, and prevention. Clin Sports Med. 2008;27(1):19–50.

    Article  Google Scholar 

  • Carolina Center for Health Informatics. NC DETECT. 2017. https://ncdetect.org/. Accessed 16 Apr 2017.

  • Caspersen CJ, Pereira MA, Curran KM. Changes in physical activity patterns in the United States, by sex and cross-sectional age. Med Sci Sports Exerc. 2000;32(9):1601–9.

    Article  Google Scholar 

  • Centers for Disease Control and Prevention. Nonfatal sports-and recreation-related injuries treated in emergency departments--United States, July 2000-June 2001. MMWR Morb Mortal Wkly Rep. 2002;51(33):736–40.

    Google Scholar 

  • Comstock RD, Currie DW, Pierpoint LA, Grubenhoff JA, Fields SK. An evidence-based discussion of heading the ball and concussions in high school soccer. JAMA Pediatr. 2015;169(9):830–7.

    Article  Google Scholar 

  • Conn J, Annest JL, Gilchrist J. Sports and recreation related injury episodes in the US population, 1997–99. Inj Prev. 2003;9(2):117–23.

    Article  Google Scholar 

  • Darrow CJ, Collins CL, Yard EE, Comstock RD. Epidemiology of severe injuries among United States high school athletes. Am J Sports Med. 2009;37(9):1798–805.

    Article  Google Scholar 

  • Delaney JS, Frankovich R. Head injuries and concussions in soccer. Clin J Sport Med. 2005;15(4):216–9.

    Article  Google Scholar 

  • Dempsey R, Layde PM, Laud PW, Guse CE, Hargarten SW. Incidence of sports and recreation related injuries resulting in hospitalization in Wisconsin in 2000. Inj Prev. 2005;11(2):91–6.

    Article  Google Scholar 

  • Ebbeling CB, Pawlak DB, Ludwig DS. Childhood obesity: public-health crisis, common sense cure. Lancet. 2002;360(9331):473–82.

    Article  Google Scholar 

  • Gabbe BJ, Finch CF, Cameron PA, Williamson OD. Incidence of serious injury and death during sport and recreation activities in Victoria, Australia. Br J Sports Med. 2005;39(8):573–7.

    Article  Google Scholar 

  • Gao Y, Johnston RC, Karam M. Pediatric sports-related lower extremity fractures: hospital length of stay and charges: what is the role of the primary payer? Iowa Orthop J. 2010;30:115.

    Google Scholar 

  • Gessel LM, Fields SK, Collins CL, Dick RW, Comstock RD. Concussions among United States high school and collegiate athletes. J Athl Train. 2007;42(4):495–503.

    Google Scholar 

  • Gopfert A, Hove M, van Mytton J, Emond A. How do we keep children safe in school sport? A systematic review of policies, consensus statements and guidelines to prevent school sports injury. Arch Dis Child. 2017;102(Suppl 1):A56.

    Google Scholar 

  • Goran MI, Reynolds KD, Lindquist CH. Role of physical activity in the prevention of obesity in children. Int J Obes Relat Metab Disord. 1999;23(S3):S18-S33.

  • Harmon KJ, Waller AE, Barnett C, Proescholdbell SK, Marshall S, AJ Dellapenna, Jr. The UNC Department of Emergency Medicine Carolina Center for Health Informatics Report - Overview and Analysis of NC DETECT Emergency Department Visit Data for Injuries: 2010. Carolina center for health informatics, Department of Emergency Medicine, University of North Carolina at Chapel Hill. 2012. https://ncdetect.org/reports/. Accessed 16 Apr 2016.

  • Howard AF, Costich JF, Mattacola CG, Slavova S, Bush HM, Scutchfield FD. A statewide assessment of youth sports- and recreation-related injuries using emergency department administrative records. J Adolesc Health. 2014;55(5):627–32.

    Article  Google Scholar 

  • Knowles SB, Kucera KL, Marshall SW. Commentary: the injury proportion ratio: what’s it all about? J Athl Train. 2010;45(5):475–7.

    Article  Google Scholar 

  • Koutures CG, Gregory AJM. Injuries in youth soccer. Pediatrics. 2010;125(2):410.

    Article  Google Scholar 

  • Leibson CL, Brown AW, Hall Long K, Ransom JE, Mandrekar J, Osler TM, et al. Medical care costs associated with traumatic brain injury over the full spectrum of disease: a controlled population-based study. J Neurotrauma. 2012;29(11):2038–49.

    Article  Google Scholar 

  • Marr AL, Coronado VG, editors. Central Nervous System Injury Surveillance Data Submission Standards-2002. Atlanta (GA): Centers for Disease Control and Prevention, National Center for Injury Prevention and Control; 2004.

  • Marshall SW, Guskiewicz KM. Sports and recreational injury: the hidden cost of a healthy lifestyle. Inj Prev. 2003;9(2):100–2.

    Article  Google Scholar 

  • Morrongiello BA, Rennie H. Why do boys engage in more risk taking than girls? The role of attributions, beliefs, and risk appraisals. J Pediatr Psychol. 1998;23(1):33–43.

    Article  Google Scholar 

  • Muller R, Lloyd J, Hanson D, Durrheim D, Vardon P, McFarlane K, et al. The injury iceberg: an ecological approach to planning sustainable community safety interventions. Health Promot J Aust. 2005;16(1):5.

    Article  Google Scholar 

  • National Center for Health Statistics. Bridged-Race Population Estimates 1990–2015. CDC WONDER. 2016. https://wonder.cdc.gov/. Accessed 15 Nov 2016.

    Google Scholar 

  • National Center for Injury Prevention and Control. Definitions for WISQARS™ Nonfatal. 2007. https://www.cdc.gov/ncipc/wisqars/nonfatal/definitions.htm. Accessed 20 Apr 2017.

    Google Scholar 

  • National Center for Injury Prevention and Control. Proposed Matrix of E-code Groupings. 2014. https://www.cdc.gov/injury/wisqars/ecode_matrix.html. Accessed 20 Apr 2017.

    Google Scholar 

  • National Federation of High Schools. 2014–15 High School Athletics Participation Survey [Internet]. National Federation of State High School Associations; 2016. http://www.nfhs.org/ParticipationStatics/PDF/2014-15_Participation_Survey_Results.pdf. Accessed 20 Apr 2017.

  • North Carolina State Government. Sect. 1034b Artic. 22 Chapter 130A-480 NC General Statutes. H1414 SL 2004–124. 2004. http://www.ncga.state.nc.us/EnactedLegislation/Statutes/rtf/ByArticle/Chapter_130A/Article_22.rtf. Accessed 16 Apr 2017.

  • Powell JW, Barber-Foss KD. Sex-related injury patterns among selected high school sports. Am J Sports Med. 2000;28(3):385–91.

    Article  Google Scholar 

  • Sallis JF. Epidemiology of physical activity and fitness in children and adolescents. Crit Rev Food Sci Nutr. 1993;33(4–5):403–8.

    Article  Google Scholar 

  • Sariaslan A. Long-term outcomes associated with traumatic brain injury in childhood and adolescence: a nationwide Swedish cohort study of a wide range of medical and social outcomes. PLoS Med. 2016;13(8):e1002103.

    Article  Google Scholar 

  • Schneier AJ, Shields BJ, Hostetler SG, Xiang H, Smith GA. Incidence of pediatric traumatic brain injury and associated hospital resource utilization in the United States. Pediatrics. 2006;118(2):483.

    Article  Google Scholar 

  • Taylor HG, Yeates KO, Wade SL, Drotar D, Stancin T, Minich N. A prospective study of short-and long-term outcomes after traumatic brain injury in children: behavior and achievement. Neuropsychology. 2002;16(1):15.

    Article  Google Scholar 

  • US Census Bureau. County Classification Look-up Table. Geogr. Urban Rural. 2016. https://www.census.gov/geo/reference/urban-rural.html. Accessed 21 Apr 2017.

  • WakeMed Health and Hospitals. WakeMed concussion clinic tackles young athletes’ injuries head-on. 2009. https://www.wakemed.org/body.cfm?id=247&action=detail&ref=189. Accessed 24 Mar 2018.

  • Yang J, Peek-Asa C, Allareddy V, Phillips G, Zhang Y, Cheng G. Patient and Hospital characteristics associated with length of stay and hospital charges for pediatric sports-related injury hospitalizations in the United States, 2000–2003. Pediatrics. 2007;119(4):e813–20.

    Article  Google Scholar 

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Acknowledgments

The authors would like to acknowledge Dr. Lana Deyneka and Zachary Faigen with the Epidemiology Section, Communicable Disease Branch of the North Carolina Division of Public Health. In addition, they would like to acknowledge Amy Ising, Dennis Falls, and Clifton Barnett at the Carolina Center for Health Informatics for their assistance in data acquisition and management.

Availability of data and materials

The dataset supporting the conclusions of this article is not available. These data are owned by the North Carolina Division of Public Health and contain protected health information.

Data attribution and disclaimer

NC DETECT is a statewide public health syndromic surveillance system, funded by the NC Division of Public Health (NC DPH) Federal Public Health Emergency Preparedness Grant and managed through collaboration between NC DPH and UNC-CH Department of Emergency Medicine’s Carolina Center for Health Informatics. The NC DETECT Data Oversight Committee does not take responsibility for the scientific validity or accuracy of methodology, results, statistical analyses, or conclusions presented.

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Authors

Contributions

KJH designed the study, developed the case definition, obtained the data, and performed statistical analysis. SKP assisted with obtaining the data, institutional approval, and interpretation of results. JRM, DBR, and AEW contributed to the study design and interpretation of results. SWM supervised the study, contributed to the study design and development of the case definition, and interpretation of results. All authors contributed to the development of the manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Katherine J. Harmon.

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Ethics approval and consent to participate

The University of North Carolina at Chapel Hill Office of Human Research Ethics/Institutional Review Board approved this study (Study #: 16–1789).

Competing interests

The authors declare that they have no competing interests.

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Harmon, K.J., Proescholdbell, S.K., Register-Mihalik, J. et al. Characteristics of sports and recreation-related emergency department visits among school-age children and youth in North Carolina, 2010–2014. Inj. Epidemiol. 5, 23 (2018). https://0-doi-org.brum.beds.ac.uk/10.1186/s40621-018-0152-0

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  • DOI: https://0-doi-org.brum.beds.ac.uk/10.1186/s40621-018-0152-0

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