scholarly journals Hand injuries in sports – a retrospective analysis of 364 cases

2020 ◽  
Author(s):  
Viola-Antonia Stoegner ◽  
Alexander Kaltenborn ◽  
Hans Laser ◽  
Peter Maria Vogt
Keyword(s):  
Injury Risk ◽  
Sports Injuries ◽  
Sports Injury ◽  
Hand Injuries ◽  
German Population ◽  
Prevention Measures ◽  
Risk Profiles ◽  
Trauma Registries ◽  
Equestrian Sports ◽  
Surveillance Programs

Abstract Background: Hand injuries are common in sports and associated with high dropout rates and costs. Hence, efforts should strive for further risk prevention measures in order to increase safety in sports. This implies knowledge of sports injury risk profiles. So far, major surveillance programs exist mainly in Anglo-American countries, reflecting the specific concerns of sports in this part of the world. Data on sports injuries within Europe are scarce. As sports behaviour appears to vary demographically, we hypothesised that risk injury profiles differ as well. Methods: To assess, whether the described sports injuries of the hand are applicable to the German population, we performed a five-year retrospective, single-centre analysis of sports-related hand injuries, using the data of the Enterprise Clinical Research Warehouse of the Hannover Medical School.Results: Notable differences in comparison to other data were observed. Ball sports, cycling and equestrian sports caused most of the recorded hand injuries, which were predominantly fractures of the wrist and hand. Hand injuries in equestrian sports were associated with significantly higher operation and hospitalisation rates as well as a significantly longer inpatient treatment. Conclusion: Risk profiles for sports-related hand injuries appear to differ not only age- and sex-dependent, but also geographically. National as well as European hand trauma registries as well as a broad registry participation are necessary in order to accurately assess these risk patterns in Europe and hence reduce hand injuries and the sequelae.

scholarly journals Hand injuries in sports – a retrospective analysis of 364 cases

2020 ◽  
Vol 21 (1) ◽  
Author(s):  
Viola A. Stögner ◽  
Alexander Kaltenborn ◽  
Hans Laser ◽  
Peter M. Vogt
Keyword(s):  
Injury Risk ◽  
Sports Injuries ◽  
Sports Injury ◽  
Hand Injuries ◽  
German Population ◽  
Prevention Measures ◽  
Risk Profiles ◽  
Trauma Registries ◽  
Equestrian Sports ◽  
Surveillance Programs

Abstract Background Hand injuries are common in sports and associated with high dropout rates and costs. Hence, efforts should strive for further risk prevention measures in order to increase safety in sports. This implies knowledge of sports injury risk profiles. So far, major surveillance programs exist mainly in Anglo-American countries, reflecting the specific concerns of sports in this part of the world. Data on sports injuries within Europe are scarce. As sports behaviour appears to vary demographically, we hypothesised that risk injury profiles differ as well. Methods To assess whether the described sports injuries of the hand are applicable to the German population, we performed a five-year retrospective, single-centre analysis of sports-related hand injuries, using data from the Enterprise Clinical Research Data Warehouse of the Hannover Medical School. Results Notable differences in comparison to other data were observed. Ball sports, cycling and equestrian sports caused most of the recorded hand injuries, which were predominantly fractures of the wrist and hand. Hand injuries in equestrian sports were associated with significantly higher operation and hospitalisation rates as well as a significantly longer inpatient treatment. Conclusion Risk profiles for sports-related hand injuries appear to differ not only in terms of age- and sex, but also geographically. Nation- and Europe-wide hand trauma registries as well as a broad registry participation are necessary in order to accurately assess the risk patterns in Europe; henceforth reducing hand injuries and their sequelae.

scholarly journals Hand injuries in sports – a retrospective analysis of 364 cases

2020 ◽  
Author(s):  
Viola-Antonia Stoegner ◽  
Alexander Kaltenborn ◽  
Hans Laser ◽  
Peter Maria Vogt
Keyword(s):  
Injury Risk ◽  
Sports Injuries ◽  
Sports Injury ◽  
Hand Injuries ◽  
Drop Out ◽  
German Population ◽  
Prevention Measures ◽  
Risk Profiles ◽  
Trauma Registries ◽  
Equestrian Sports

Abstract Background: Hand injuries are common in sports and associated with high drop-out rates and costs. Hence, efforts should strive for further risk prevention measures in order to increase safety in sports. This implies knowledge of sports injury risk profiles. So far, major surveillance programs exist mainly in Anglo-American countries, reflecting the specific concerns of sports in this part of the world. Data on sports injuries within Europe are scarce. As sports behavior appears to vary demographically, we hypothesised that risk injury profiles differ as well. Methods: To assess, whether the described sports injuries of the hand, published internationally, are applicable to the German population, we performed a five-year retrospective, single-center analysis of sports-related hand injuries, using the data of the Enterprise Clinical Research Warehouse of the Hannover Medical School.Results: Notable differences in comparison to other data were observed. Ball sports, cycling and equestrian sports caused most of the recorded hand injuries, which were predominantly fractures of the wrist and hand. Hand injuries in equestrian sports were associated with significantly higher operation and hospitalisation rates as well as a significantly longer inpatient treatment. Conclusion: Risk profiles for sports-related hand injuries appear to differ not only age- and sex-dependent, but also geographically. National as well as European hand trauma registries as well as a broad registry participation are necessary in order to accurately assess these risk patterns in the European latitudes and hence reduce hand injuries and the sequelae.

scholarly journals Hand injuries in sports – a retrospective analysis of 364 cases

2020 ◽  
Author(s):  
Viola-Antonia Stoegner ◽  
Alexander Kaltenborn ◽  
Hans Laser ◽  
Peter Maria Vogt
Keyword(s):  
Injury Risk ◽  
Sports Injuries ◽  
Sports Injury ◽  
Hand Injuries ◽  
Drop Out ◽  
German Population ◽  
Hannover Medical School ◽  
Equestrian Sports ◽  
Surveillance Programs ◽  
Anglo American

Abstract Background Hand injuries are common in sports and associated with high drop-out rates and costs. Considering the multiplicity of health benefits of regular physical exercise, efforts should strive for rising the safety of sports. This implies knowledge of sports injury risk profiles. So far, major surveillance programs exist mainly in the Anglo-American countries, reflecting the specific concerns of sports in this part of the world. Data on sports injuries within Europe are scarce. As sports behavior appears to vary demographically, we hypothesized that risk injury profiles differ as well. Methods To assess, whether the described sports injuries of the hand, published internationally, are applicable to the German population, we performed a five-year retrospective, single-center analysis of sports-related hand injuries, using the data of the Enterprise Clinical Research Warehouse of Hannover Medical School. Results Notable differences in comparison to other data were observed. Ball sports, cycling and equestrian sports caused most of the recorded hand injuries, which were predominantly fractures of the wrist and hand. Hand injuries in equestrian sports were associated with significantly higher operation and hospitalisation rates as well as a significantly longer inpatient treatment. Conclusion National as well as European registry studies are needed in order to better estimate the risk patterns of sports injuries and reduce the sequelae.

scholarly journals Early Warning System of Tennis Sports Injury Risk Based on Mobile Computing

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Yupeng Li ◽  
Kitak Kim ◽  
Yu Ding
Keyword(s):  
Neural Network ◽  
Early Warning ◽  
Early Warning System ◽  
Injury Risk ◽  
Sports Injuries ◽  
Rbf Neural Network ◽  
Warning System ◽  
Sports Injury ◽  
Analysis Method ◽  
Tennis Players

In recent years, sports injuries in professional tennis players have gradually increased and sports injuries will break the sports training system and affect the long-term growth of new tennis players. Avoiding athlete injuries has become an important factor in improving training quality and game performance and ensuring the sustainable development of young tennis players’ competitiveness. Therefore, this article will use the RBF neural network algorithm and cluster analysis method to establish a tennis sports injury risk early warning model and finally establish a tennis sports injury risk early warning system so that tennis players can reduce their injuries. In this article, we use the questionnaire survey method, expert interview method, mathematical statistics method, and logical analysis method to investigate and analyze the results of training injuries of Chinese tennis players and coaches. The experimental results in this article show that among 48 tennis players of different ages, who are participating in formal training and tennis competitions, 15 young tennis players have been injured more than 6 times, accounting for 31.2% of the total; 20 have been injured 3 to 6 times, accounting for 41.7% of the total; 9 of them have been injured several times, accounting for 18.8% of the total; and 4 have been injured, accounting for 8.3% of the total. After using the tennis sports injury risk warning system based on the algorithm of RBF neural network in mobile computing, the tennis sports injury rate has dropped to 5%. It can be seen that the system has high feasibility and practicability.

scholarly journals A One-Year Hospital-Based Analysis of Sports Injuries

2007 ◽  
Vol 14 (4) ◽  
pp. 204-214 ◽  
Author(s):  
CT Tsui ◽  
M Leung ◽  
CP Chow ◽  
KH Chan ◽  
ACH Lit
Keyword(s):  
Lower Limb ◽  
Sports Injuries ◽  
Sports Injury ◽  
Injury Surveillance ◽  
Body Region ◽  
Prevention Measures ◽  
Injury Surveillance System ◽  
Lower Limb Injury ◽  
Limb Injury ◽  
Sprain And Strain

Objectives (1) To survey and analyse the pattern of sports injuries; (2) to make implication from the results. Methodology Subjects with sports injuries attending the emergency department of Princess Margaret Hospital in 2006 were retrieved via the Injury Surveillance System. The characteristics of the subjects and their injuries were evaluated. Results In 2006, 709 subjects had sports injuries, from which 83% were male. The median age was 19. Age below 20 accounted for 53% of the attendance. Football (35%), basketball (25%) and cycling (9%) were the three commonest sport-injury activities. All sports injuries had the maximum AIS ≤3 and 83% had MAIS of 1 only. Overall, 39% had contusion and scrape, 36% with sprain and strain, and 18% had fracture. Nearly half (47%) had lower limb injury; 30% and 24% had upper limb injury and head injury respectively. Contusion and scrape of the head, and sprain and strain of the lower limb were the two commonest injuries in football and basketball. In cycling, two-thirds suffered from contusion and scrape of any body region and 57% of those involved the head. Conclusion Sports injury surveillance with characterised patterns of injuries helped to devise prevention measures.

scholarly journals Big Data and Deep Learning Model for FMS Score Prediction of Aerobics Athletes

2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Wenying Xiong ◽  
Dongqin Huang ◽  
Wei Xu
Keyword(s):  
Big Data ◽  
Deep Learning ◽  
Injury Risk ◽  
Risk Model ◽  
Sports Injuries ◽  
Sports Injury ◽  
Positive Role ◽  
Functional Movement ◽  
Movement Screening ◽  
Functional Movement Screening

In recent years, competitive aerobics has developed rapidly in my country, and the corresponding sports injury risks have gradually increased. A number of studies have shown that due to the characteristics of aerobics itself, difficult movement requirements, fast-paced music accompaniment and coherent coordinated movements, athletes will suffer sports injuries if they are not paying attention. Therefore, discovering the causes of athletes’ injuries in time and preventing them in time is crucial for improving athletes’ skill level and prolonging sports life. Through the functional movement screening (FMS) test, understanding young aerobics athletes’ insufficiency in trunk stability, joint flexibility, muscle extension, and core strength can further help athletes reduce the risk of sports injuries. Therefore, this article proposes a novel sports injury risk model based on big data technology and deep learning, which can effectively predict the risk of sports injury and can play a positive role in improving the quality of athletes’ movements and prolonging their sports life.

Investigation of the Effects of Sports Injuries on the Quality of Life of Adolescent Athletes

2021 ◽  
Vol 15 (10) ◽  
pp. 3276-3280
Author(s):  
Şebnem Şarvan Cengiz ◽  
Büşra Yardimci ◽  
Aybüke Ulubaş
Keyword(s):  
Quality Of Life ◽  
Female Athletes ◽  
Sports Injuries ◽  
Winter Season ◽  
Sports Injury ◽  
Study Data ◽  
Adolescent Athletes ◽  
Purposeful Sampling ◽  
Athlete Injury

The aim of the study is to examine the effects of sports injuries experienced by adolescent athletes between the ages of 13 and 18 on their quality of life during training and competition. The universe of the study consists of licensed athletes between the ages of 13-18 who play sports at the Manisa Youth and Sports Provincial Directorate. In the study, purposeful sampling method was chosen, and the study sample consisted of 170 athletes (97 females, 73 males) with sports injuries and 90 athletes (49 females, 41 males) without sports injuries, totally 260 volunteers. The demographic information form developed by the researchers, the Adolescent Form of the Quality of Life for Children (PedsQL) developed by Varni et al. (1999), the Adolescent Form of the Age of 13-18, and the Causes of Injury in Sports Questionnaire prepared by Alkaabi (2015) were used as data collection methods. As a result, it was found that female athletes had more sports injuries in adolescent athletes than men. The number of athletes who suffered injuries in defense sports is higher than in other branches. As a result, it has been determined that sports injury negatively affects the quality of life. It was found as a result of the study data that they experienced more injuries in training than in competitions. Since the injury is mostly in the winter season and the athletes stated that they did not use protective equipment during the injury, the trainers should be informed, they should be thoughtful about taking the necessary precautions and precautions and should be offered the necessary supervision. Keywords: Adolescent athlete, injury, quality of life

scholarly journals Time-to-event analysis for sports injury research part 2: time-varying outcomes

2018 ◽  
Vol 53 (1) ◽  
pp. 70-78 ◽  
Author(s):  
Rasmus Oestergaard Nielsen ◽  
Michael Lejbach Bertelsen ◽  
Daniel Ramskov ◽  
Merete Møller ◽  
Adam Hulme ◽  
...  
Keyword(s):  
Sports Injuries ◽  
Sports Injury ◽  
Training Load ◽  
Future Research ◽  
Multiple Time ◽  
Time Varying ◽  
Event Analysis ◽  
Time To Event ◽  
Injury Research ◽  
Stratified Analysis

BackgroundTime-to-event modelling is underutilised in sports injury research. Still, sports injury researchers have been encouraged to consider time-to-event analyses as a powerful alternative to other statistical methods. Therefore, it is important to shed light on statistical approaches suitable for analysing training load related key-questions within the sports injury domain.ContentIn the present article, we illuminate: (i) the possibilities of including time-varying outcomes in time-to-event analyses, (ii) how to deal with a situation where different types of sports injuries are included in the analyses (ie, competing risks), and (iii) how to deal with the situation where multiple subsequent injuries occur in the same athlete.ConclusionTime-to-event analyses can handle time-varying outcomes, competing risk and multiple subsequent injuries. Although powerful, time-to-event has important requirements: researchers are encouraged to carefully consider prior to any data collection that five injuries per exposure state or transition is needed to avoid conducting statistical analyses on time-to-event data leading to biased results. This requirement becomes particularly difficult to accommodate when a stratified analysis is required as the number of variables increases exponentially for each additional strata included. In future sports injury research, we need stratified analyses if the target of our research is to respond to the question: ‘how much change in training load is too much before injury is sustained, among athletes with different characteristics?’ Responding to this question using multiple time-varying exposures (and outcomes) requires millions of injuries. This should not be a barrier for future research, but collaborations across borders to collecting the amount of data needed seems to be an important step forward.

Perceptions of their knowledge, practices and competence in sports injury prevention recognition and management by physical education teachers in Yogyakarta, Indonesia

2021 ◽  
Vol 43 (2) ◽  
pp. 39-51
Author(s):  
Luthfi Hidayat ◽  
Meirizal ◽  
Yudha Mathan Sakti ◽  
Yuni Artha Prabowo Putro ◽  
Aditya Fuad Robby Triangga ◽  
...  
Keyword(s):  
Physical Education ◽  
Injury Prevention ◽  
Injury Risk ◽  
Life Support ◽  
Sports Injury ◽  
Physical Education Teachers ◽  
Self Awareness ◽  
Training Experience ◽  
Skill Levels ◽  
Knowledge Practices

During a Physical Education (PE) class, students may encounter risks of injury. PE teachers, therefore, should possess competent knowledge and skill levels in sports injury prevention as well as good self-awareness of their abilities to manage any injury. This study aimed to evaluate the perceived knowledge, practices, and competence in the area of sports injury prevention, recognition, and management of PE teachers in Yogyakarta Special Province. The associations between PE teachers’ sociodemographic characteristics and their self-perceptions were also investigated. Subjects were Senior High School PE teachers who were willing to complete the questionnaire developed by the research team. 191 PE teachers voluntarily participated in the study. The results showed the lowest scores were found for: 1) the teachers’ practice in recording students’ medical history and assessing injury risk when starting a new academic year; 2) the teachers’ practice in evaluating the condition of first aid kits and Basic Life Support (BLS) devices; and 3) the teachers’ perceived competence in splinting. Only greater knowledge of the PRICE principle was associated with the teachers’ level of education and training experience and splinting competence with years of teaching. BLS training experience had the stronger association with perceptions of knowledge and skills in the recognition and treating of injuries.

Social inequalities in unintentional childhood injury incidence suggest subgroup identification and differentiation in the municipal planning of preventive efforts

2019 ◽  
Vol 48 (2) ◽  
pp. 200-206 ◽  
Author(s):  
Iben Kryger Andersen ◽  
Jens Lauritsen
Keyword(s):  
Lower Risk ◽  
Injury Risk ◽  
Social Inequalities ◽  
Tertiary Education ◽  
Sports Injury ◽  
Personal Identification ◽  
Economic Factors ◽  
Injury Incidence ◽  
Traffic Injury ◽  
Socio Economic Factors

Aims: This registry-based study examined differences according to socio-economic factors in the incidence of unintentional childhood injuries involving main injury types. Methods: All children aged 0–15 years living in the municipality of Odense were followed from January 1 2006 to December 31 2010 ( n=176,585). Injury outcome ( n=27,745) was defined as visits to the local emergency department. Cohort data were transferred to Statistics Denmark and linked with socio-economic registry data based on unique personal identification numbers. Results: Children aged 10–15 years were at the highest risk for any injury (incidence rate ratio (IRR)=1.14), traffic injury (IRR=5.89) and sports injury (IRR=49.58) compared to children aged 0–4 years. Girls were at lower risk for any injury (IRR=0.85) and higher risk for sports injury (IRR=1.11) and home injuries (IRR=1.12) compared to boys. Children of parents with the lowest household income were at the highest risk for any injury (IRR=1.19) and traffic injury (IRR=2.16) compared to children of parents with the highest group. Children of parents with primary education were at the highest risk of any injury (IRR=1.22) and the lowest risk of traffic injury (IRR=0.80) and sports injury (IRR=0.75) compared to children of parents with tertiary education. Immigrants and descendants were at lower risk for any injury (IRR=0.75 and 0.79, respectively) and sports injury (IRR=0.81 and 0.68, respectively) compared to Danish children. Conclusions: Injury risk varied with socio-economic factors in a Danish municipal setting. The effect varied between specific injury types. Social and ethnic background is important in establishing targeted preventive efforts, but some aspects of selection bias may occur.

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