An Epidemiology of Sport Injury Rates Among Campus Recreation Sport Programs

Arthur-Banning, Skye G.

doi:10.11648/j.rs.20180302.13

Cited by 13 publications

(10 citation statements)

References 10 publications

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“…The average injury rate (per 1000 playing and training hours) found in the present study was 2.64 per 1000 h. This figure is considerably lower than the rate observed by Arthur-Banning et al [ 31 ] in practices in NCAA and club sports among college athletes, which was respectively 3.9 and 3.8. However, in the same study, they reported an injury rate during game competitions of 18.3 in club sports, 13.79 in NCAA, and 10.28 in intramural sports.…”

Section: Discussioncontrasting

confidence: 75%

Epidemiology of Sports-Related Injuries and Associated Risk Factors in Adolescent Athletes: An Injury Surveillance

Prieto-González

Martínez-Castillo

Fernández-Galván

et al. 2021

IJERPH

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The present study aimed to determine the epidemiology of sport-related injuries in amateur and professional adolescent athletes and the incidence of different risk factors on those injuries. Four hundred ninety-eight athletes aged 14 to 21 voluntarily participated in this prospective injury surveillance, conducted from 1 January 2019 to 31 December 2019. The information collected included: personal data, sports aspects, characteristics of the injuries, and lifestyle. Forty point four percent of the participants suffered an injury in 2019 (39% of them in a previously injured area). The average injury rate was 2.64 per 1000 h. Soccer presented the highest rate (7.21). The most common injuries were: lumbar muscle strains (12.24%), ankle sprains (11.98%), and bone fractures (9.31%). Ankles (36.12%), knees (19.32%), and shoulders (6.47%) concentrated the highest number of injuries. Fifty-nine point twenty-eight percent of the injuries occurred during practices, and 40.72% during competition or peri-competition. Higher injury rates were associated (in this order) with the following factors: (a) Greater number of hours of practice per week. (b) Not performing warm-ups. (c) Using inadequate sports facilities. (d) Being aged 14–17. (e) Not performing physical preparation. (f) Inappropriate training load. (g) Not performing injury-preventive activities. (h) Performing sports technique without the supervision of one sports coach. (i) Inadequate sports equipment. In conclusion, since most injury risk factors are modifiable, it is imperative to implement strategies to reduce amateur and professional adolescent athletes’ injury rates.

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Section: Discussioncontrasting

confidence: 75%

Epidemiology of Sports-Related Injuries and Associated Risk Factors in Adolescent Athletes: An Injury Surveillance

Prieto-González

Martínez-Castillo

Fernández-Galván

et al. 2021

IJERPH

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“…erefore, how to prevent and control the risk of college sports have become key issues to be solved urgently. Strengthening and improving the research for risk assessment for college sports is not only a theoretical hotspot, but also an urgent practical task [11][12][13][14][15].…”

Section: Introductionmentioning

confidence: 99%

Sports Risk Analysis Based on Knowledge Discovery and Data Driven

Zheng

Fan

2022

Security and Communication Networks

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Sports have gradually gained popularity, and the risks associated with them have risen as well. In today’s world, college students are a diverse population, and sports are very popular among them. The construction of sports risk assessment system in ordinary colleges is significant to improve physical quality of college students and ensure safety. College sports accidents have occurred on occasion in recent years, causing not only enormous pain to students and parents, but also casting a dark shadow over the sport. This work takes the risk analysis of college students’ sports as the background, and uses a data-driven neural network to conduct knowledge discovery of college sports threats. It evaluates the sports risks of college students’ physical education, and builds an index system of sports risk assessment in ordinary colleges and universities, which provides a certain basis for avoiding and reducing sports risks. This work studies an end-to-end one-dimensional convolutional neural network algorithm for risk assessment of college sports. In order to extract complementary structures in different scales, a multi-scale fusion framework is constructed using convolution kernels of diverse sizes. In this paper, the residual network structure is introduced to deepen and improve the network, and an attention module suitable for one-dimensional residual network is designed. It is embedded into the residual module to construct a multi-scale attention residual network (MSAR) model. Finally, validity and superiority of proposed model are verified by experimental data, which can effectively evaluate the sports risk of college students.

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“…The limited involvement by universities indicates that club sport athletes do not receive the same injury prevention education as varsity sports and that responsibility falls on sport club officers. While the National Intramural-Recreational Sports Association (NIRSA) does not currently have an injury reporting system, a previous study by Arthur-Banning et al (2018) found that club sports have a significantly higher rate of injury compared to previouslydocumented NCAA athletes. With a high injury rate and no national organization mandating specific concussion protocols or guidelines, there is a need to explore current practices in club sports concussion education and knowledge to understand the factors associated with SRC underreporting in club athletes (Musille, 2016).…”

Section: Collegiate Sports Vs Club Sportsmentioning

confidence: 99%

Concussions in Collegiate Club Sports: Investigating Concussion Education, Knowledge, and Attitudes

Kanny¹,

Hathaway²,

Rudd³

et al. 2022

JERP

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Approximately 9 million college students participate in organized sports, with 460,000 college athletes participating at the collegiate level (e.g., NCAA, NAIA) and the remaining 8.5 million playing club and intramural teams. Nationally, an estimated 1.7 to 3 million sports-related concussions (SRCs) occur per year. Despite the overwhelming number of student-athletes participating in collegiate club sports, literature on SRC education, knowledge and attitudes is limited when looking at collegiate club athletes. The purpose of this study is to explore current concussion education given to collegiate club sports athletes and understand players' concussion knowledge and attitudes. A cross-sectional study design using a modified version of Rosenbaum Concussion Knowledge and Attitudes Survey-Student Version (RoCKAS-ST) was emailed to all members within the 33 student-led club sport organizations at a Southeastern university. Seventy-one club athletes from 22 of the club sport organizations responded to the survey. Thirty-two participants (45.1%) reported that they have received at least one sports-related concussion and 39 (54.9%) reported never receiving a SRC. Fifty-five participants (77.5%) reported not receiving a concussion education. Total knowledge was found to have significant differences between participants who received a concussion education and participants who did not (t[69] = 1.135; p = 0.048). No significant differences were found in attitude between collegiate club sport athletes who received a concussion education and players who did not receive a concussion education (t[68] = 0.37; p = 0.700). The study indicated that a majority of collegiate club sport athletes do not receive a concussion education, which impacts their knowledge of concussions. Further research is needed to determine effective concussion prevention education for this population.

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An Epidemiology of Sport Injury Rates Among Campus Recreation Sport Programs

Cited by 13 publications

References 10 publications

Epidemiology of Sports-Related Injuries and Associated Risk Factors in Adolescent Athletes: An Injury Surveillance

Epidemiology of Sports-Related Injuries and Associated Risk Factors in Adolescent Athletes: An Injury Surveillance

Sports Risk Analysis Based on Knowledge Discovery and Data Driven

Concussions in Collegiate Club Sports: Investigating Concussion Education, Knowledge, and Attitudes

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