Explore the vast range of titles available.

The purpose was to analyze tibial plateau fractures (TPF) by computed tomography (CT) by creating a frequency map (FM). We hypothesized that a FM shows clinically important aspects of involvement that are not expressed in classic classifications. 185 TPF were retrospectively evaluated in this single center study. We created a FM onto an axial template of an intact subarticular tibial plateau and separated the joint surface in 9 areas, counted the frequency of involvement. The FM gives information of location and grade of damage and expressed three major fracture areas in 76%. 5 specific fracture types add up to 51%. The dorsal parts of the tibial plateau are involved in a higher percentage (+8%). True lateral fractures are less often than plane radiographs suggest. An impression was found in 50%. The complexity of TPFs is high, but 5 specific types could be identified in >50%. The complexity is not sufficiently covered in common classifications, especially the dorsal involvement. The FM is a simple and useful tool that complements common classifications and can be used as guideline for surgical treatment.

PurposeStressful training with insufficient recovery can impair muscle performance. Expression of mitogen-activated protein kinases (MAPK) has been reported at rest following overreaching and overtraining. The acute myocellular exercise response to stressful training with insufficient recovery has not been investigated. We investigated MAPK, androgen, and glucocorticoid receptor phosphorylation following a period of stressful training.MethodsSixteen resistance-trained men were matched on barbell squat 1 repetition maximum strength and randomized into a group that performed normal training or stressful training with insufficient recovery. The control group (CON) performed three speed-squat training sessions on non-consecutive days, while the stressful training group (NFOR) performed 15 training sessions over 7.5 days. Resting and post-exercise skeletal muscle biopsies were obtained prior to (T1) and after the training period (T2). Samples were analyzed for total and phosphorylated androgen receptor (AR), glucocorticoid receptor (GR), and MAPKs (ERK, JNK, and p38).ResultsTotal AR were down-regulated post-exercise at T2 in NFOR only. Phospho-AR at ser515 increased in both groups post-exercise at T1; however, ser515 only increased at T2 in NFOR. Phosphorylated ERK, JNK, and p38 increased post-exercise in CON and NFOR at T1 and T2. Post-exercise phospho-p38 was blunted in NFOR at T2 compared to T1. After the training intervention, resting phospho-p38 was higher in NFOR compared to T1. At T2, post-exercise phospho-GR at ser226 was lower compared to T1, and resting levels increased in NFOR.ConclusionSteroid receptors are phosphorylated after acute resistance exercise, and in addition to MAPKs, are differentially regulated after stressful training with insufficient recovery.

Purpose Recreational sports are commonly recommended for their health-enhancing effects. But broadening the perspective on planetary health raises the question of how they impact the environment. While there is a body of evidence on the impacts of professional sports on planetary health, there is currently a lack of studies investigating the sustainability of grassroots level sports, in particular team sports in recreational leagues. This study set out to explore travel patterns in different recreational leagues in the sports of football and handball in Germany. Methods We derived data including club location and game schedules for amateur football and handball teams in the region of Erlangen, Germany, from official websites of sport federations. Using google maps, we calculated the travel distances for every match-up in season 2022/23 and highlighted the distribution of teams in divisions by mapping. Results Even on a low recreational level, significant travel distances are accrued by teams over a season. In general, playing in a more competitive league results in longer travel distances for football teams. On average, women teams cover longer travel distances compared to men’s teams. Playing handball results in more travel compared to playing football. The current set-up of divisions can be improved to limit travel distances. Conclusions Despite some limitations (e.g., number of included divisions or difficulty translating the distances into CO2 emissions), this investigation sheds light on the environmental impact of recreational league play. The sheer number of sports teams suggests the importance of investigating recreational league play and supporting sport federations to optimize game schedules to limit travel emissions. Funding Source The study was not funded.

Background Sport injuries are a major reason for reduced participation and drop-out from sports and physical education. Refraining from sport participation has negative effects on mental and physical well-being, which tracks into adulthood. It is therefore important for youth to be facilitated into lifelong active participation in physical activity and sport. Despite the importance of sports injury prevention in youth, no broad scale approaches that work in real-life situations with significant positive effects exist. Sports coaches (SC) and physical educators (PE) experience current approaches exercises as not context specific, time consuming and not contributing to their training goals. This leads to poor uptake, implementation and maintenance of current sports injury prevention exercises. To overcome current barriers, the Move Healthy project develops ICT based video material of routines for and with PE and SC, which supports them to prevent sports injuries in youth. The purpose of this crucial mapping phase is to identify the wishes and needs of the end-users PE and SC regarding injury prevention. Methods A mapping procedure was conducted to identify the wishes and needs of PE and SC regarding integration of injury prevention in their daily work. For that, focus groups, with PE from primary and secondary education and basketball and soccer coaches from 6 EU countries, were held. Results A total of 31 PE (primary and secondary school) and 37 sport coaches (basketball and soccer) from 6 EU countries were included. The qualitative results from SC state that injury preventive routines should focus on: sport performance, good quality of movement, dynamic combinations of existing exercises and it should be fun and challenging. PE tend to focus more on: motivation aspects, how to overcome barriers and implementation aspects. For both groups, a clear and specific explanation about the why, what and how regarding injury prevention based on principles of motor learning should be included in the approach. Conclusions The results from the mapping phase will lead to guidelines, statements regarding educational concepts, content and design criteria for video material on the ICT based support platform for SC and PE. Acknowledgements This project is financially co-funded by the Erasmus+ Sport program from the European Union.

With the development of smart wearable devices and deep learning (DL) technology, the monitoring and analysis of daily sports activities of teenagers face new opportunities. At present, traditional CNN (Convolutional Neural Network) models are mostly used for recognition in daily sports activities. It is difficult to capture the temporal relationship between action sequences, and the ability to express important features is weak, resulting in poor recognition accuracy. This paper took badminton as the object, based on the VGG16 (Visual Geometry Group 16) model, and adopted the advantages of the bidirectional learning time series information of the BiLSTM (Bidirectional Long Short-Term Memory) model and the channel and regional feature representation of the CBAM (Convolutional Block Attention Module) module to verify and apply the recognition of badminton movements in daily sports for teenagers. The study first built and optimized the baseline model VGG16, removed the last three fully connected layers, and used VGG16 to extract the deep features of each frame of video image and output feature maps. The CBAM module was then embedded after the last convolutional layer of the VGG16 network, and the feature maps optimized by CBAM were flattened into a time series input vector. Finally, the BiLSTM model is introduced, and the CBAM and BiLSTM are connected in a cascade manner to capture the information of the previous and next dependencies in the video frame sequence and output the action classification results of badminton. The experiment is based on the badminton training dataset in the public dataset Roboflow to explore the action recognition performance in badminton in daily sports activities of teenagers. Experimental results show that the recognition accuracy of the VGG16-BiLSTM-CBAM model has reached 0.98, which is 0.08 higher than the benchmark model VGG16, and F1 has reached 0.96. Experimental results show that combined with the DL model VGG19 and the sequential model BiLSTM, the attention CBAM module can significantly improve the performance of action recognition in youth badminton, promote the safe conduct of sports activities, and provide a good reference for incorrect postures.

A key driver for promoting physical activity is reducing the global burden of noncommunicable diseases, particularly cardiovascular disease, cancer and diabetes. These diseases are responsible for more than 41 million deaths annually, of which a third occur before the age of 70 years. Physical activity has multiple positive impacts on noncommunicable diseases such as heart disease, stroke, diabetes, and breast and colon cancer, as well as numerous social and economic benefits including reduced use of fossil fuels, cleaner air and less congested, safer roads. All these effects are closely linked to several sustainable development goals. However, policy actions have been insufficient and uneven, and government strategies to increase physical activity have not consistently increased the proportion of the adult population meeting recommended levels of activity. Without significant scaling of efforts at local, regional, national and international levels, the global targets for physical activity are unlikely to be achieved.

In response to the low real-time performance and accuracy of traditional sports injury monitoring, this article conducts research on a real-time injury monitoring system using the SVM model as an example. Video detection is performed to capture human movements, followed by human joint detection. Polynomial fitting analysis is used to extract joint motion patterns, and the average of training data is calculated as a reference point. The raw data is then normalized to adjust position and direction, and dimensionality reduction is achieved through singular value decomposition to enhance processing efficiency and model training speed. A support vector machine classifier is used to classify and identify the processed data. The experimental section monitors sports injuries and investigates the accuracy of the system’s monitoring. Compared to mainstream models such as Random Forest and Naive Bayes, the SVM utilized demonstrates good performance in accuracy, sensitivity, and specificity, reaching 94.2%, 92.5%, and 96.0% respectively.

Causes of anterior knee pain (AKP) in jumping athletes include patellofemoral pain and patellar tendinopathy. The differential diagnosis of AKP is challenging, with variations in clinical presentations. No previous research has used pain location to describe AKP in basketball players. To (1) describe the prevalence and pain distribution of AKP in collegiate basketball players and (2) report the prevalence of focal inferior pole pain using 2 outcome measures. Cross-sectional study. University and collegiate basketball facilities in Alberta, Canada. A total of 242 collegiate basketball athletes (138 women, 104 men). The single-legged decline squat test (SLDS) was used to capture pain location via pain mapping (dichotomized as focal or diffuse) and pain severity (numeric rating scale). The Oslo Sports Trauma Research Centre Knee questionnaire (OSTRC-Knee) and adapted version for patellar tendinopathy (OSTRC-Patellar Tendinopathy Questionnaire [OSTRC-P]) were used to report the prevalence of AKP and patellar tendinopathy, respectively. Focal inferior pole pain during the SLDS was used to classify patellar tendinopathy. Of the 242 players, 146 (60%) reported pain with the SLDS (unilateral = 64 [26%]; bilateral = 82 [34%]). A total of 101 (43%) described knee pain using the OSTRC-Knee. Pain mapping captured the variability in pain locations. Diffuse pain was more prevalent (left, 70%; right, 72%) than focal pain (left, 30%; right, 28%). Low prevalence of patellar tendinopathy was noted using the OSTRC-P (n = 21, 8.7%) and inferior pole pain during the SLDS (n = 25, 10.3%). Diffuse AKP was common in Canadian basketball players; however, pain mapped to the inferior pole of the patella was not common. Few players reported tendinopathy using the OSTRC-P, suggesting that patellar tendinopathy was not a primary knee pain presentation in this jumping cohort. Pain location, rather than the presence or severity of pain alone, may better describe the clinical presentation of AKP in jumping athletes.

To assess the relationship between proximity to specific sports facilities and participation in the corresponding sports activities for adolescents in Germany. A sample of 1,768 adolescents aged 11-17 years old and living in 161 German communities was examined. Distances to the nearest sports facilities were calculated as an indicator of proximity to sports facilities using Geographic Information Systems (GIS). Participation in specific leisure-time sports activities in sports clubs was assessed using a self-report questionnaire and individual-level socio-demographic variables were derived from a parent questionnaire. Community-level socio-demographics as covariates were selected from the INKAR database, in particular from indicators and maps on land development. Logistic regression analyses were conducted to examine associations between proximity to the nearest sports facilities and participation in the corresponding sports activities. The logistic regression analyses showed that girls residing longer distances from the nearest gym were less likely to engage in indoor sports activities; a significant interaction between distances to gyms and level of urbanization was identified. Decomposition of the interaction term showed that for adolescent girls living in rural areas participation in indoor sports activities was positively associated with gym proximity. Proximity to tennis courts and indoor pools was not associated with participation in tennis or water sports, respectively. Improved proximity to gyms is likely to be more important for female adolescents living in rural areas.