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

Abstract

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.

Epidemiology of Overuse Injuries in US Secondary School Athletics From 2014–2015 to 2018–2019 Using the National Athletic Treatment, Injury and Outcomes Network Surveillance Program

“…3 Previous large-scale epidemiological studies of injury at the high school level have typically focused on examining general sport-related injury, rates of common injuries such as sport-related concussions or ankle sprains, or injury rates within specific sports. [4][5][6][7][8][9][10][11] To our knowledge, only three previous studies have specifically focused on the epidemiology of overuse injuries in high school sports; however, data used for analyses were collected prior to 2014. [12][13][14] Two separate studies utilized data from the HS-RIO database to examine overuse injury rates in high school sports over 6 and 7 year periods ending in 2011-2012 and 2012-2013, respectively.…”

Epidemiology of Pediatric Basketball Injuries Presenting to Emergency Departments: Sex- and Age-Based Patterns

“…29 Contemporary epidemiology studies utilizing other databases, such as the HS-RIO and National Athletic Treatment, Injury and Outcomes Network surveillance program, confirm these findings that ankle injuries present most commonly after youth basketball. 4,8,13,14,29 The main difference noted in our study was the frequency (9.4%) of concussions and head injuries, which was the third most common diagnosis. In the NEISS between 2000 and 2006, after ankle sprain (21.7%) and finger sprain (8.0%), the next most common diagnoses were finger fracture (7.8%), knee sprain (3.9%), and facial laceration with concussion and head injury being significantly lower (about 3%) than in our findings.…”

“…We believe these findings demonstrating increased rates of injury in pediatric and adolescent girls indicate a need for education and injury prevention in female basketball programs. Ankle injury prevention programs have been employed in the secondary school setting 26 and have demonstrated a reduction in the percentage of ankle injuries compared with that reported in a previous study, 4 but this does not include injuries that occur outside of organized high school sport. Research has also shown the importance of injury prevention programs for reducing knee injuries.…”

Evidence-Based Sports Medicine to Prevent Knee Joint Injury in Triple Jump

“…This has received extensive attention from many experts and scholars. 1 At this stage, the main models of the relationship between joint motion amplitude and sports injury include the ant colony algorithm, grey neural network algorithm, an unscented Kalman filter algorithm. The most important is the relationship model between joint motion amplitude and sports injury based on the unscented Kalman filter algorithm.…”