Search Results (653)

Tennis is a demanding sport that requires physical abilities and optimal body composition. The aim of this study was to investigate the anthropometric characteristics, body composition, and somatotype development of young Slovenian tennis players (754 boys and 514 girls aged 12 to 18 years) over the last two decades. Using standardised anthropometric measurements and the Heath-Carter method, somatotypes were calculated and analysed by age and gender. The results showed clear age- and gender-specific trends and differences in both somatotype profiles and detailed anthropometric characteristics. Significant differences were found in height, body mass, BMI, skinfolds, girths, and limb lengths, with gender differences becoming more pronounced in the older age groups. In boys, mesomorphy increased with age, reflecting an increase in musculature, while in girls, a shift from ectomorphic to endomorphic profiles was observed during adolescence, probably influenced by pubertal and hormonal changes. Significant sex-specific differences were observed in all three somatotype components in most age groups, especially in fat mass and muscle. The longitudinal design provides valuable data and insights into the evolving physical profiles of adolescent tennis players that support more effective talent identification and training. Despite the changes that have taken place in tennis over time, standardised measurement protocols ensured comparability, making the results relevant for practitioners working with adolescents in tennis development. Full article

In modern medical education, a robust understanding of statistics is essential for fostering critical thinking, informed clinical decision-making, and effective communication. This paper explores the synergistic value of early and continued statistical education for medical students and residents, particularly in relation to the expanding field of sports supplementation and its impact on athletic performance. Early exposure to statistical principles enhances students’ ability to interpret clinical research, avoid cognitive biases, and engage in evidence-based practice. Continued statistical learning throughout residency further refines these competencies, enabling more sophisticated analysis and application of emerging data. The paper also addresses key challenges in integrating statistics into medical curricula—such as limited curricular space, student disengagement, and resource constraints—and proposes solutions including interactive learning, case-based teaching, and the use of public datasets. A unique emphasis is placed on connecting statistical literacy to the interpretation of research in sports science, particularly regarding the efficacy, safety, and ethical considerations of sports supplements. By linking statistical education to a dynamic and relatable domain like sports performance, educators can not only enrich learning outcomes but also foster lasting interest and competence in quantitative reasoning. This integrated approach holds promise for producing more analytically proficient and clinically capable physicians. Full article

Objective: To investigate the effect of an 8-week inspiratory muscle training (IMT) intervention on respiratory muscle strength and cardiovascular autonomic regulation in obese young men. Methods: The study included 36 obese young men who met the inclusion and exclusion criteria. Participants were randomly divided into two groups: the IG (inspiratory muscle training group, n = 17), which underwent high-intensity IMT intervention for 8 weeks, 5 times a week, and the CG (control group, n = 18), which was not given any additional intervention. Assessed parameters included maximum inspiratory pressure (MIP), maximum expiratory pressure (MEP), systolic blood pressure (SBP), diastolic blood pressure (DBP), and heart rate (HR), as well as heart rate variability metrics such as the standard deviation of normal-to-normal intervals (SDNN), root mean square of successive differences (RMSSD), standard deviation of successive differences (SDSD), low-frequency power component (LF), high-frequency power component (HF), and LF/HF ratio. These measurements were taken both at baseline and following the completion of the 8-week intervention period. Results: After 8 weeks of IMT, the MIP and MEP of the IG increased by 31.8% and 26.5%, respectively (p < 0.01). In addition, SBP, DBP, and HR decreased by 2.2%, 3.2%, and 2.1%, respectively (p < 0.01). In the HRV time domain, SDNN and RMSSD increased by 54.1% and 33.5%, respectively (p < 0.01), and there was no significant improvement in SDSD (p > 0.05); in the HRV frequency domain, LF decreased by 40.5%, HF increased by 59.4% (p < 0.01), and the LF/HF ratio decreased by 58.2% (p < 0.05). Conclusion: An 8-week 80%MIP IMT intervention significantly improves respiratory muscle strength and cardiovascular autonomic regulation in obese young men, suggesting that IMT is a promising non-pharmacological strategy for mitigating obesity-related cardiovascular risk. Full article

This study examined the effects of a short-term ballistic training program on neuromuscular performance and strength-deficit (SDef) in elite youth female soccer players. Twenty-two under-20 athletes completed a 4-week intervention during the pre-season phase, comprising 12 loaded and 8 unloaded ballistic training sessions performed at maximal intended velocity. Pre- and post-intervention assessments included vertical jumps (squat jump [SJ], countermovement jump [CMJ]), sprinting speed (5, 10, and 20 m), one-repetition maximum (1RM) and peak force (PF) in the half-squat (HS), and peak power and velocity during jump squats (JS) at 30% of 1RM. SDef was calculated as the percentage difference in PF between 1RM in the HS and 30% 1RM. Significant improvements were observed in SJ, CMJ, sprint speed, 1RM-strength, and bar-derived mechanical outputs (ES = 1.18–1.66; p < 0.05), with no significant changes in SDef. These results indicate that elite youth female soccer players can improve strength-, power-, and speed-related capacities without compromising force production at higher movement velocities (thus maintaining their SDef). The improvements observed likely reflect the combined effect of a high-frequency, velocity-oriented training approach and a concurrent reduction in traditional technical–tactical (i.e., soccer-specific) training volume. This is the first study to demonstrate that ballistic exercises alone—when properly structured—can enhance neuromuscular performance in female soccer players without increasing SDef. These findings provide practical guidance for practitioners aiming to optimize physical development in team-sport athletes without relying on heavier training loads or extended resistance training sessions—and, especially, without compromising their ability to apply force at higher velocities. Full article

Background: Motor coordination is a fundamental skill in childhood. Factors such as age, sex, and regular sports practice influence its development. However, there is little research that jointly analyzes the impact of these factors on the motor skills and abilities of primary school children. The objective of this study was to analyze what happens to different motor skills and abilities (i.e., locomotor coordination (LC); visuomotor coordination (VC); foot object control coordination (FOCC); hand object control coordination (HOCC); global motor coordination (GMC)) in relation to regular and regulated sports practice (yes vs. no), sex (boys vs. girls), and age (6 to 11 years) in a sample of 663 primary schoolchildren (8.59 ± 1.65 years; 48.26% boys) from Galicia (Spain). Methods: The 3JS test was used to analyze motor coordination. To determine differences between the 3JS variables, a multivariate analysis of covariance (MANCOVA) was performed based on age, sex, and sports practice, including a BMI category (normal weight, overweight, or obese) as a covariate to avoid potential confounding factors. Results: Statistically significant differences were observed based on age [LC (p < 0.001); VC (p < 0.001); FOCC (p < 0.001); HOCC (p < 0.001); CMG (p < 0.001)], sex [i.e., VC (p < 0.001); FOCC (p < 0.001); HOCC (p < 0.001); CMG (p < 0.001)], and sports practice [i.e., LC (p < 0.001); VC (p = 0.008); HOCC (p < 0.001); CMG (p < 0.001)], after the application of the 3JS battery. Conclusions: Locomotor coordination in Primary Education is modulated by the interaction between age, sex, and sports practice. All of these variables increase with age, with higher scores in boys than in girls, and higher scores in children who participate in sports than in those who do not. Full article

Background: The perceived importance of physical practice and its contribution to students’ academic success have evolved considerably throughout the history of the modern educational system. Aim: The purpose of this study was to understand the relationship between physical fitness (measured as VO₂max) and cognitive abilities (attention and concentration) and academic performance in different subjects: sciences, letters, language, arts, and physical education. Method: Fifty Spanish male students who participated in extracurricular sports activities (mean age (SD): 11.59 ± 1.30; range: 9–15 years) were included in the analysis. The 6 min walk test was used to assess physical fitness (6MWT), while for selective attention and concentration, the students completed the D2 test, which is usually considered to analyse the visual ability to select the most relevant stimulus of an exercise and ignore precisely the most irrelevant stimuli. Results: Correlation the individual contribution analyses revealed no significant associations between VO₂max and academic performance in sciences (r = 0.04, p = 0.77), humanities (r = 0.00, p = 0.98), language (r = 0.03, p = 0.83), or arts (r = 0.04, p = 0.76). Similarly, no relationship was found between VO₂max and overall academic performance (r = 0.10, p = 0.46), or cognitive abilities. However, a small positive correlation was observed between VO₂max and physical education scores. Conclusions: Physical fitness showed no significant association with cognitive abilities or academic performance in most subjects, although a small positive correlation with physical education scores was observed. These findings emphasise the importance of promoting physical activity for its health and physical benefits. However, future research should explore broader cognitive outcomes and include more diverse and representative samples. Full article

This study develops two machine learning models to predict the medal performance of countries at the 2028 Olympic Games while systematically analyzing and quantifying the impacts of the host effect and exceptional coaching on medal gains. The dataset encompasses records of total medals by country, event categories, and athletes’ participation from the Olympic Games held between 1896 and 2024. We use K-means clustering to analyze medal trends, categorizing 234 nations into four groups (${\alpha }_1$, ${\alpha }_2$, ${\alpha }_3$, ${\alpha }_4$). Among these, ${\alpha }_1$, ${\alpha }_2$, ${\alpha }_3$ represent medal-winning countries, while ${\alpha }_4$ consists of non-medal-winning nations. For the $\alpha$1, $\alpha$2, and $\alpha$3 groups, 2–3 representative countries from each are selected for trend analysis, with the United States serving as a case study. This study extracts ten factors that may influence medal wins from the dataset, including participant data, the number of events, and medal growth rates. Factor analysis is used to reduce them into three principal components: Factor analysis condenses ten influencing factors into three principal components: the event scale factor (F1), the medal trend factor (F2), and the gender and athletic ability factor (F3). An ARIMA model predicts the factor coefficients for 2028 as 0.9539, 0.7999, and 0.2937, respectively. Four models (random forest, BP Neural Network, XGBoost, and SVM) are employed to predict medal outcomes, using historical data split into training and testing sets to compare their predictive performance. The research results show that XGBoost is the optimal medal predicted model, with the United States projected to win 57 gold medals and a total of 135 medals in 2028. For non-medal-winning countries (${\alpha }_4$), a three-layer fully connected neural network (FCNN) is constructed, achieving an accuracy of 85.5% during testing. Additionally, a formula to calculate the host effect and a Bayesian linear regression model to assess the impact of exceptional coaching on athletes’ medal performance are proposed. The overall trend of countries in the $\alpha$1 group is stable, but they are significantly affected by the host effect; the trend in the $\alpha$2 group shows an upward trend; the trend in the $\alpha$3 group depend on the athletes’ conditions and whether the events they excel in are included in that year’s Olympics. In the $\alpha$4 group, the probabilities of the United Arab Republic (UAR) and Mali (MLI) winning medals in the 2028 Olympic Games are 77.47% and 58.47%, respectively, and there are another four countries with probabilities exceeding 30%. For the eight most recent Olympic Games, the gain rate of the host effect is 74%. Great coaches can bring an average increase of 0.2 to 0.5 medals for each athlete. The proposed models, through an innovative integration of clustering, dimensionality reduction, and predictive algorithms, provide reliable forecasts and data-driven insights for optimizing national sports strategies. These contributions not only address the gap in predicting first-time medal wins for non-medal-winning nations but also offer guidance for policymakers and sports organizations, though they are constrained by assumptions of stable historical trends, minimal external disruptions, and the exclusion of unknown athletes. Full article

This study aims to analyze, through structural equation modelling, the interaction between the variables of congruence, trust, commitment, satisfaction and word of mouth (WOM) in the context of a virtual sporting event, determining the significant relationships between these variables and their ability to predict participants’ future intentions. A structured questionnaire based on previously validated scales was applied to a sample of participants of the Medellín Virtual Marathon. The data obtained were analyzed using structural equation modelling to examine the relationships between the variables studied. The results confirm that congruence significantly influences trust and commitment, while trust mediates its relationship with commitment, satisfaction and WOM. Furthermore, it is observed that commitment has a direct impact on satisfaction and WOM, with satisfaction being the most relevant predictor of recommendation intentions. The model used showed an adequate fit, and the instrument used presented satisfactory psychometric properties. These findings underline the importance of strengthening the congruence between participants’ identity and event branding, promoting trust through positive experiences and leveraging WOM as a key promotional tool for e-sport events. This study contributes to academic knowledge by exploring the interactions between these variables in the context of virtual sport events, offering valuable information for decision-making in the management and promotion of this type of event. Full article

The available scientific evidence on padel injuries is scarce and inconclusive. For this reason, the main aim was to analyze the differences in injury incidence in padel according to specific factors of the sport, as well as to the level of physical activity, adherence to the Mediterranean diet, and the psychological state of the players. A sample of 216 padel players (mean age: 30.05 ± 9.50 years old) participated in this study. The participants completed a sociodemographic questionnaire that included padel-specific variables, a sports injury questionnaire, the IPAQ, the MEDAS, and the CPRD. A higher incidence of injuries was observed in players with more experience (p < 0.001), more hours of play (p < 0.001) and at amateur or professional levels (p < 0.001). Mild and moderate injuries were common with mixed or herringbone soles; severe (p = 0.031), muscle, tendon and ligament injuries were common with herringbone soles (p = 0.023). Muscle and ligament injuries occurred more frequently on sand courts (p = 0.037), and with 350–370 g racquets (p = 0.029). Tendon injuries were associated with less mental ability (p = 0.014). There were no significant differences with the Mediterranean diet or level of physical activity. Injury in padel is related to sport-specific factors and psychological state but does not seem to be related to level of physical activity or diet. However, due to the cross-sectional design, causal relationships cannot be established, so future research in this field is needed. Full article

Maximal and explosive strength—defined as the ability to rapidly generate high levels of force—are widely recognized as critical for performance in strength–power sports such as track and field throwing. However, their interrelationship remains insufficiently examined, particularly in the upper body of elite athletes. This study examined the relationship between early force production (≤250 ms, subdivided into early phase: 0–100 ms; late phase: 100–250 ms) and peak isometric upper-body push and pull force in elite Swedish track and field throwers. A total of 30 athletes (17 females, 13 males; aged 18–34 years), all competing nationally or internationally in discus, hammer, shot put, or javelin, participated in a cross-sectional assessment. Isometric force was measured during bench press (push) and supine bench row (pull) using a custom-built device. Force output was recorded at 50, 100, 150, 200, and 250 ms, along with peak force. The results showed a progressive increase in the correlation between force at early time points and peak force. Associations were weak to moderate at 50–100 ms (r = 0.07–0.55) and became strong to very strong at 150–250 ms (r = 0.64–0.92). These patterns were consistent across sexes and test types. The findings suggest that maximal strength becomes increasingly important as force production time extends beyond 100 ms. Coaches may benefit from assessing both early and peak force characteristics to inform strength profiling and guide training focus, though further research is needed to determine their impact on performance. Full article

Despite the pivotal role of unmanned aerial vehicles (UAVs) in intelligent inspection tasks, existing video instance segmentation methods struggle with irregular deforming targets, leading to inconsistent segmentation results due to ineffective feature offset capture and temporal correlation modeling. To address this issue, we propose a hierarchical offset compensation and temporal memory update method for video instance segmentation (HT-VIS) with a high generalization ability. Firstly, a hierarchical offset compensation (HOC) module in the form of a sequential and parallel connection is designed to perform deformable offset for the same flexible target across frames, which benefits from compensating for spatial motion features at the time sequence. Next, the temporal memory update (TMU) module is developed by employing convolutional long-short-term memory (ConvLSTM) between the current and adjacent frames to establish the temporal dynamic context correlation and update the current frame feature effectively. Finally, extensive experimental results demonstrate the superiority of the proposed HDNet method when applied to the public YouTubeVIS-2019 dataset and a self-built UAV-Seg segmentation dataset. On four typical datasets (i.e., Zoo, Street, Vehicle, and Sport) extracted from YoutubeVIS-2019 according to category characteristics, the proposed HT-VIS outperforms the state-of-the-art CNN-based VIS methods CrossVIS by 3.9%, 2.0%, 0.3%, and 3.8% in average segmentation accuracy, respectively. On the self-built UAV-VIS dataset, our HT-VIS with PHOC surpasses the baseline SipMask by 2.1% and achieves the highest average segmentation accuracy of 37.4% in the CNN-based methods, demonstrating the effectiveness and robustness of our proposed framework. Full article

While natural grass has been a reliable recreational surface for decades, artificial turf has gained popularity due to its durability, supposed ability to save water, and lower associated costs for municipalities and schools. Growing environmental and health concerns associated with artificial turf have prompted a necessary comparison of the environmental impact, chemical exposure, injury rates, surface heat, and costs of turf with natural grass. The township of Verona, New Jersey, engaged the PSEG Institute for Sustainability Studies’ Green Teams Program interns to perform an environmental impact assessment, literature review, and cost–benefit analysis to determine if the township should restore an aging artificial turf field in the town to natural grass. The environmental impact assessment revealed concerns regarding artificial turf’s high emission profile, microplastic pollution, lack of permeability, and the presence of per- and polyfluoroalkyl substances (PFAS). Natural grass’ high water usage was also identified as a drawback. The literature review revealed safety concerns of artificial turf regarding temperature disparities and no conclusive results regarding differences in overall injury rates. The artificial turf field in this case study was 182% hotter than the natural grass field when measured by an infrared thermometer during mid-day readings in June. The cost–benefit analysis revealed that natural grass offers a lower long-term expense over a 25-year period. Artificial turf has many benefits; however, natural grass was the recommended option when considering environmental sustainability, reduced chemical exposure, lower surface temperatures, and overall cost. The conclusions may further inform policy decisions and support the adoption of environmentally responsible and health-centered practices for sports fields across municipalities in New Jersey and beyond. Full article

Background and Objectives: Sesamoiditis is a painful and functionally limiting condition that affects the sesamoid bones of the hallux, frequently seen in athletic populations. Despite its clinical relevance, there are no standardised guidelines for its conservative management. This systematic review aims to evaluate the effectiveness of conservative treatments for sesamoiditis by summarising individual-level data from published studies. Materials and Methods: A comprehensive literature search was conducted in PubMed/MEDLINE, Scopus, ISI/Web of Science, and PEDro (Physiotherapy Evidence Database) up to December 2024 in accordance with PRISMA 2020 guidelines and following a protocol specifically devised for rare or underrepresented medical conditions. Eligible studies included case reports and case series involving patients aged ≥16 years who were conservatively treated for clinically and/or radiologically diagnosed sesamoiditis. Data on patient demographics, diagnosis, type and duration of treatment, pain- (Visual Analogue Scale (VAS) and Numeric Rating Scale (NRS)) and function-related (Foot and Ankle Ability Measure (FAAM) and Foot and Ankle Outcome Score (FAOS)) outcomes, and return to activity were extracted. Study quality was assessed using Joanna Briggs Institute (JBI) critical appraisal tools. Pooled effect sizes were computed where applicable. Results: Out of 2380 initial records, 11 studies comprising 59 patients (29 females) were included. Treatments varied widely, including orthotics, corticosteroid injections, physical therapy, and biologic approaches such as concentrated bone marrow aspirate (CBMA). VAS scores improved in 66% of cases. NRS scores returned to baseline in some patients after initial improvement, revealing recurrence. FAAM and FAOS subscales showed functional improvements, particularly in sports-specific domains. Return to activity varied: in a case series, 45.4% resumed pain-free sports participation, while others remained symptomatic. Conclusions: Conservative treatment options for sesamoiditis showed variable effectiveness with promising outcomes in selected patients. Corticosteroid injections and orthotics appeared beneficial, but high recurrence and limited functional recovery persisted in some cases. Standardised treatment protocols and high-quality prospective studies are needed to improve clinical decision-making and optimise non-surgical management. Full article

Some stochastic phenomena that appear in real-world processes and satisfy some similar characteristics can be effectively modeled using functions based on variants of the chi distribution. In this paper, we extend the use of the uncentered chi distribution to the assessment of sports performance, focusing on its ability to characterize the physical fitness of athletes. The generating functions, constructed from individual test data assumed to follow a Gaussian distribution, provide a basis for creating a fitness index. In addition, we propose a methodology to rank athletes based on their performance in specific physical tests. Drawing on parallels with thermodynamic systems, such as the behavior of particles in an ideal gas, we explore the suitability of the (non-centered) chi distribution for modeling sports data. Simulations and real examples are presented that demonstrate the robustness of this approach. Full article

Background/Objectives: The most common limb-salvage procedure for end-stage ankle arthropathy with severe bone defect is arthrodesis. Successful fusion requires rigid metal fixation, effective filling of the bone defect space, and maximal securing of the contact area between the tibia and talus. In cases with severe bone defect, sufficient grafting using autogenous bone alone is limited, and there is still controversy regarding the effectiveness of allogeneic or xenogeneic bone grafting. This study aimed to evaluate the intermediate-term clinical outcomes after shortening arthrodesis using fibular osteotomy for ankle arthropathy with severe bone defect. Methods: Twenty-two patients with shortening ankle arthrodesis were followed up ≥ 3 years. All operations were performed by one senior surgeon and consisted of internal fixation with anterior fusion plate, fibular osteotomy, and autogenous bone grafting. The causes of ankle joint destruction were failed total ankle arthroplasty (7 cases), neglected ankle fracture (6 cases), delayed diagnosis of degenerative arthritis (5 cases), avascular necrosis of talus (2 cases), and diabetic neuroarthropathy (2 cases). Clinical outcomes including daily living and sport activities were evaluated with the Foot and Ankle Outcome Score (FAOS) and the Foot and Ankle Ability Measure (FAAM). Radiological evaluation included fusion rate, time to fusion, leg length discrepancy, and degenerative change in adjacent joints. Results: The FAOS and FAAM scores significantly improved from a mean of 21.8 and 23.5 points preoperatively to 82.2 and 83.4 points at final follow-up, respectively (p < 0.001). Visual analogue scale for pain during walking significantly improved from a mean of 7.7 points preoperatively to 1.4 points at final follow-up (p < 0.001). The average time to complete fusion was 16.2 weeks, and was achieved in all patients. The average difference in leg length compared to the contralateral side was 11.5 mm based on physical examination, and 13.8 mm based on radiological examination. During the average follow-up of 56.2 months, no additional surgery was required due to progression of degenerative arthritis in the adjacent joints, and no cases required the use of height-increasing insoles in daily life. Conclusions: Shortening ankle arthrodesis using fibular osteotomy and anterior fusion plate demonstrated satisfactory intermediate-term clinical outcomes and excellent fusion rate. Advantages of this procedure included rigid fixation, preservation of the subtalar joint, effective filling of the bone defect space, and maximal securing of the contact area for fusion. The leg length discrepancy, which was concerned to be a main shortage, resulted in no significant clinical symptoms or discomfort in most patients. Full article