Epidemiology of overuse injuries in U.S. secondary school athletics from 2014–2015 to 2018–2019 using the National Athletic Treatment, Injury and Outcomes Network Surveillance Program.

ABSTRACT Context: With 8 million annual participants in the United States, the epidemiology of sports-related injuries in high school athletics has garnered significant interest. The most recent studies examining overuse injury rates in high school sports reported data from 2012–2013 and therefore may not reflect current overuse injury rates in high school sports. Objective: To 1) to determine overuse time-loss (TL) and non-time-loss (NTL) injury rates among high school student athletes using NATION-SP data collected from 2014–2015 to 2018–2019 and 2) compare overuse injury rates based on student-athlete gender defined by sport, sport, and injury location. Design: Descriptive epidemiology study. Setting: Online injury surveillance from 211 high schools (345 individual years of high school data). Patients or Other Participants: Athletes participating in secondary school-sponsored boys' and girls' sports. Main Outcome Measures: Boys' and girls' overuse injury data from the National Athletic Treatment, Injury and Outcomes Network Surveillance Program (NATION-SP) from the 2014–2015 to 2018–2019 school years were analyzed. Overuse injuries were identified using a combination of reported injury mechanism and diagnosis. TL injuries resulted in restriction from participation beyond the day of injury; a NTL injury did not result in restriction from participation beyond the day of injury or lost no time due to the injury. Injury counts, rates, and rate ratios (IRRs) were reported with 95% confidence intervals (CIs). Results: The overall overuse injury rate was 5.3/10,000 AEs (95%CI=5.1, 5.7), the NTL overuse injury rate was 3.4/10,000 AEs (95%CI=3.1, 3.6), and the TL overuse injury rate was 2.0/10,000 AEs (95%CI=1.8, 2.2). The overuse injury rate was greater in girls' sports compared to boys' sports (IRR=1.9; 95%CI=1.7, 2.1). The highest rates of overuse injury were reported in girls' cross-country (19.2/10,000 AEs; 95%CI=15.0, 24.2), girls' track and field (16.0/10,000 AEs; 95%CI=13.5, 18.8), and girls' field hockey (15.1/10,000 AEs; 95%CI=10.2, 21.6). Overuse injury rates were highest for the lower extremity compared to the upper extremity (IRR=5.7; 95%CI=4.9, 6.7) and for the lower extremity compared to the trunk and spine (IRR=8.9; 95%CI=7.3, 10.8). Conclusions: Awareness of overuse injury risk as well as prevention and intervention recommendations are necessary and should be specifically targeted towards cross-country, field hockey, and track and field athletes.

Employing Google Trends to Assess Concussion Search Popularity, Seasonality, and Association With High School Sports Participation

ObjectiveThis investigation employs 2004–2020 Google Trends data to correlate concussion search popularity and high school sports participation while assessing search seasonality and factors associated with search escalation.BackgroundEvents linked to concussions, from news to entertainment, altered public perception of concussions and discouraged high-risk activities. Such sentiment likely promoted high school football's 2004–2018 8% decrease in participation, despite simultaneous 8% increase for sports overall. Google Trends (GT) analysis calculates distinct subjects' popularity scores (0–100) by normalizing Google search frequency with other subjects in the same topic. With 35% of patients researching their conditions using Google, tracking concussion popularity scores allows robust analysis of event-driven fluctuation, seasonal variation, and sports impact.Design/MethodsWorldwide GT analysis was conducted for the disease topic “Concussion” with the categorical filter “Health” from 2004 to 2020. This period's monthly popularity scores with annual averages and annual high school sports participation data were subsequently obtained from Google Trends and the National Federation of State High School Associations, respectively.ResultsConcurrence of significant score changes with CTE studies' publication, release of 2015 film Concussion, and the COVID-19 pandemic validates GT's measurement of public interest. From 2006 to 2016, Pearson's correlation coefficients demonstrated strong negative correlation between GT popularity scores for “Concussion” with total number of high school football participants overall (R2 = 0.8553) and participants per school (R2 = 0.9533). Confirming football-related seasonality, one-way ANOVA regression analysis concluded 2004–2020's mean change in month-specific popularity score is not the same (p = 3.193E-08), and months during football season had statistically significant variability (September: p = 4.389E-05) with elevated average z-scores.ConclusionsCoupled with ANOVA regression and normalized analyses, strong negative correlations between concussion popularity score and high school football participation produce quantitative measures of a long-suspected relationship. Tracking concussion popularity and seasonality with Google Trends provides insight into how, when, and why patients are educating themselves online.

Internet of Things and Edge Computing Model Optimization in Physical Training Status and Countermeasures in College Sports Basketball Optional Course

In recent years, people have paid special attention to their own health status and paid more and more attention to the cultivation of physical fitness. People of different ages have begun physical exercises. As a compulsory course in university, physical education has played a very positive role in the health of students. In order to promote the common development of basketball activities in many sports academies across the country and improve the educational quality of basketball majors, with a view to cultivating basketball and football talents in line with the culture and social development of the times, this article investigates and evaluates the basketball activities of sports coaches in many sports academies, discusses the pros and cons of high school sports in basketball and other related fields, and provides references and suggestions for improvement in the reform of basketball activities in some sports academies. The results of the study found that based on the Internet of Things and edge computing models, physical training in college sports basketball optional courses has been greatly improved compared with traditional physical training methods. Adding adaptive scheduling to Core 1, priority 1 and 5 was distributed on Core 2∼5. Priority 2 tasks tend to be more balanced.

Optimizing Kenmi Manipulation Courses of High School Sports Based on CDIO Model under the Background of Cloud Computing

Cloud computing is an increase, use, and delivery model of Internet-based services. It usually involves the provision of dynamic transactions and often virtualized resources through the Internet and provides the most reliable and secure data storage center. Therefore, cloud computing technology has features of cost saving and scalability. In view of this, the design and research of an autonomous learning platform based on the CDIO concept can make full use of cloud computing technology. The CDIO teaching model is a combination of theory and practice, closely linking the cultivation of knowledge, abilities, and personal qualities, subverting the previous education methods. Although it is an engineering field, it is based on an open system. Penetrating into all fields of education, the teaching methods of aerobics in colleges and universities are as practical as the CDIO teaching model and must be applied to practice. The independent learning ability, critical thinking, and team cohesion emphasized by the CDIO teaching model are also involved in the teaching of aerobics. CDIO is a key issue that needs to be solved urgently in talent training. CDIO is just a platform and framework. Under this framework, different schools and majors can integrate their own teaching systems and teaching content as needed. The reform of aerobics courses is guided by the educational framework and philosophy of CDIO and designed in accordance with the standards of CDIO. It is very important to plan the system and training of this course. This paper researches and analyzes the application of CDIO teaching mode in college sports aerobics under the background of cloud computing.