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In sport, there is extensive evidence that supports the benefits associated with a mastery climate. However, limited studies have explored how physical tools could be used to promote mastery climates in youth sport contexts. Using an action research approach, we sought to understand the benefits and drawbacks of applying tools grounded in goal setting to promote a mastery environment: (a) an "arm sleeve" to be worn by athletes during training and matches and (b) a "reflection sheet" for use pre- and posttraining/-matches. These tools were implemented for a 3-week period with a U13 academy team (18 players and two coaches). Based on observation notes, focus groups, and one-on-one interviews, the analysis showed that the arm sleeves were helpful reminders for process goals, whereas the coaches had abandoned the use of reflection sheets due to lack of time. The benefits and drawbacks of the tools are discussed while pedagogical and practical implications are considered. [ABSTRACT FROM AUTHOR]

An athlete's training aims to achieve the highest possible sports results by improving physical dispositions which lead to cardiac adaptive changes. The annual training cycle is divided into periods. The preparatory period begins with gradually increasing training intensity and volume until the competitive period occurs, when the athlete's maximum performance is expected. Finally, the athlete enters a phase of loss of fitness, which is called detraining. Detraining is a time of resting both physically and mentally from the training regime and usually lasts about 4 weeks for endurance athletes. We collected data from much research on athletes' detraining. According to these data, the earliest change after detraining seems to be a decrease in left ventricular wall thickness and left ventricular mass, followed by decreased performance parameters, diastolic diameter of the left ventricle and size of the left atrium. A reversal of adaptive changes affects the left heart chamber first, then the right atrium and, finally, the right ventricle. Training reduction is often proposed as a method of differentiating an athlete's heart from cardiomyopathies. The aim of this study is to consider the diagnostic value of detraining in differentiating athletes' hearts from cardiomyopathies. We suggest that detraining cannot be conclusive in differentiating the disease from adaptive changes. Although a withdrawal of the characteristic morphological, functional and electrocardiographic changes occurs in healthy athletes during detraining, it can also concern individuals with cardiomyopathies due to the lower expression of abnormal features after decreased training loads. Therefore, a quick diagnosis and individual assessments using imaging and genetic tests are essential to recommend a proper type of activity. [ABSTRACT FROM AUTHOR]

This paper discusses the use of an improved random forest regression algorithm (RFRA) to predict the total score of powerlifters. The paper collected the age, weight, and total score of multiple powerlifters, and then used an improved RFRA to build a predictive model. The parameters of this model are optimized by a differential squirrel search algorithm. The experimental results show that our proposed method can effectively predict the total score of powerlifters with an error of less than 10%, which can provide a reference for experts and athletes before training or competition. [ABSTRACT FROM AUTHOR]

This study aimed to optimise performance prediction in short-course swimming through Principal Component Analyses (PCA) and multiple regression. All women's freestyle races at the European Short-Course Swimming Championships were analysed. Established performance metrics were obtained including start, free-swimming, and turn performance metrics. PCA were conducted to reduce redundant variables, and a multiple linear regression was performed where the criterion was swimming time. A practical tool, the Potential Predictor, was developed from regression equations to facilitate performance prediction. Bland and Altman analyses with 95% limits of agreement (95% LOA) were used to assess agreement between predicted and actual swimming performance. There was a very strong agreement between predicted and actual swimming performance. The mean bias for all race distances was less than 0.1s with wider LOAs for the 800 m (95% LOA −7.6 to + 7.7s) but tighter LOAs for the other races (95% LOAs −0.6 to + 0.6s). Free-Swimming Speed (FSS) and turn performance were identified as Key Performance Indicators (KPIs) in the longer distance races (200 m, 400 m, 800 m). Start performance emerged as a KPI in sprint races (50 m and 100 m). The successful implementation of PCA and multiple regression provides coaches with a valuable tool to uncover individual potential and empowers data-driven decision-making in athlete training. [ABSTRACT FROM AUTHOR]

Aims: To assess body composition by means of BOD POD in the large cohort of Italian Olympic athletes of many sport disciplines (studied at the same time), and to provide possible reference values for body composition in elite athletes. Methods: 1556 elite athletes, who took part in the selection procedure for the 2016 Rio Olympic Games for the National Italian Olympic Committee (CONI), were retrospectively studied. Body composition was determined using air plethysmography-based BOD POD. Results: We observed that Fat Mass (FM) and Fat-free Mass (FFM) should be considered as two mutually independent domains in elite athletes. By performing Principal Component Analysis, we defined two independent main domains (respectively, representing FM and FFM), which presented different trends according to gender and static or dynamic exercise load. Lastly, we reported possible reference values for FM index and FFM index, respectively, representing the largest contributors to FM domain and FFM domain, and calculated as FM or FFM (kg)/height (m2). Conclusions: Our findings might provide a basis to optimize the practical approach to body composition in athletes, highlighting the importance of considering indicators of fat mass and lean mass "simultaneously" and not specularly, according to different sport disciplines as well. Moreover, these data might contribute to standardize reference values for body composition in elite athletes, with a view to potentially helping to monitor and guide training regimens, prevent related detrimental practices and plan cardiometabolic prevention and rehabilitation programs. [ABSTRACT FROM AUTHOR]

Wearable devices in sports have been used at the professional and higher collegiate levels, but not much research has been conducted at lower collegiate division levels. The objective of this retrospective study was to gather big data using the Catapult wearable technology, develop an algorithm for musculoskeletal modeling, and longitudinally determine the workloads of male college soccer (football) athletes at the Division III (DIII) level over the course of a 12-week season. The results showed that over the course of a season, (1) the average match workload (432 ± 47.7) was 1.5× greater than the average training workload (252.9 ± 23.3) for all positions, (2) the forward position showed the lowest workloads throughout the season, and (3) the highest mean workload was in week 8 (370.1 ± 177.2), while the lowest was in week 4 (219.1 ± 26.4). These results provide the impetus to enable the interoperability of data gathered from wearable devices into data management systems for optimizing performance and health. [ABSTRACT FROM AUTHOR]

Background: Acute altitude has a relevant impact on exercise physiology and performance. Therefore, the positive impact on the performance level is utilized as a training strategy in professional as well as recreational athletes. However, ventilatory thresholds (VTs) and lactate thresholds (LTs), as established performance measures, cannot be easily assessed at high altitudes. Therefore, a noninvasive, reliable, and cost-effective method is needed to facilitate and monitor training management at high altitudes. High Alt Med Biol. 25:94–99, 2024. Methods: In a cross-sectional setting, a total of 14 healthy recreational athletes performed a graded cycling exercise test at sea level (Munich, Germany: 512 m/949 mbar) and high altitude (Zugspitze: 2,650 m/715 mbar). Anaerobic thresholds (ATs) were assessed using a novel method based on beat-to-beat repolarization instability (dT) detected by Frank-lead electrocardiogram (ECG) monitoring. The ECG-based ATs (ATdT°) were compared to routine LTs assessed according to Dickhuth and Mader. Results: After acute altitude exposure, a decrease in AT was detected using a novel ECG-based method (ATdT°: 159.80 ± 52.21 W vs. 134.66 ± 34.91 W). AtdT° levels correlated significantly with LTDickhuth and LTMader, at baseline (rDickhuth/AtdT° = 0.979; p < 0.001) (rMader/AtdT° = 0.943; p < 0.001), and at high altitude (rDickhuth/AtdT° = 0.969; p < 0.001) (rMader/AtdT° = 0.942; p < 0.001). Conclusion: Assessment of ATdT is a reliable method to detect performance alterations at altitude. This novel method may facilitate the training management of athletes at high altitudes. [ABSTRACT FROM AUTHOR]

Background and Study Aim. It is well known that neuromuscular electrostimulation and plyometric exercises positively influence the gain of explosive force in the lower limbs. The combination of plyometric method and electrostimulation begins to gain a positive trend, being included in the modern training of athletes due to the important gain of explosive force. The purpose of this study is to investigate the effects of combining plyometric and electrostimulation methods in specific training for the development of lower limb muscle strength in long jumpers. Material and Methods. The study was conducted on 15 women's long jump athletes, age category 18 years ± 1,622, with an average weight of 50.80 kg ± 3,932, height of 165.87cm ±3,292 and foot plant of 39.00 ±1,254. The group carried out the experimental training program for a duration of 12 weeks, with means specific to the two methods, three times a week, lasting 60 minutes. It was assessed: horizontal speed on the last 10m of the run up, 1 RM (a maximum rep for a squat); vertical jump; flight time and performance achieved in the competition. The maximum repetition for a squat was tested with the GykoRePower system, the vertical jump was determined with the OptoJump Next system, and the performance in the test was recorded during the competition. The vertical jump, the average value of power used to develop the explosive force and the length of the jump were evaluated. The recorded data on the muscle profile of the subjects were analyzed with the SPSS statistical analysis program Results. The statistical analysis performed with T-student obtained significant differences between the two tests of the experiment group (p ≤ 0.001): 1RM registers a progress of 10.476 kg with a progress rate of 18.07%, optimal load registers a progress of 3.627 kg with a progress rate of 8.93%, vertical jump achieves a progress of 4.567 cm with a progress rate of 16.09% with a flight time progress of 0.03833 s with a progress rate of 7.39%, and the speed on the last 10 m of run up progresses by 0.5234 s with a progress rate of 6.79%. Subjects recorded a progress for competition performance of 36.467 cm compared to the initial test with a progress rate of 8.50%. Conclusions. The research results are objective arguments that highlight that a specific training based on combining plyometric method with electrostimulation determines significant improvements in the development of explosive force of the lower limbs in long jumps with positive effects on sports performance for long jumpers. [ABSTRACT FROM AUTHOR]

In the process of aerobics competition, it is necessary to evaluate the training and performance of athletes and coaches with real-time data. However, traditional data recording methods have some limitations, such as relying on manual recording or being limited by the number and location of sensors. The research aims to use light sensors and machine learning techniques to develop an application that can detect, record and simulate aerobics competition data in real time. The movement trajectory and posture information of athletes are captured by light sensors, and the data is analyzed and simulated with the help of machine learning algorithms to provide more accurate and comprehensive competition data. The light sensor can accurately detect the posture and movement of the human body, and transmit the data to the computer through the data transmission module. The sensor data is processed and analyzed using machine learning algorithms, which are trained to recognize specific movements and postures and compare them to preset criteria. The results show that athletes and coaches can obtain real-time competition data through the application, and analyze and feedback to improve the accuracy of training effect and performance evaluation. [ABSTRACT FROM AUTHOR]

Traditional coaches need to rely on experience and intuition to adjust athletes' movements and postures, which has the problems of strong subjectivity and unstable effects. In this paper, an image optical processing method based on artificial intelligence is proposed to realize the adaptive adjustment of aerobics athletes. The research uses the image optical processing technology to collect and analyze the movement of athletes in the training process and extract the key movement parameters. Then, combined with artificial intelligence algorithm, the extracted action parameters are analyzed and compared, so as to achieve accurate evaluation and adjustment of athletes' actions. Finally, the adjustment plan is applied to the training of athletes, and through real-time monitoring and feedback mechanisms, the athletes' movements and postures are continuously adjusted and optimized. Through experiments and practical applications, the system can accurately determine the movements and postures of athletes, and provide corresponding adjustment plans based on the actual situation. Compared with traditional manual adjustments, the system has higher accuracy and stability, which can effectively improve the technical level and performance ability of athletes. [ABSTRACT FROM AUTHOR]

Sports effect evaluation is the main module of modern information construction. To improve the accuracy of sports effect evaluation and enhance the training level of athletes, this paper aims to conduct in-depth research on sports effect evaluation based on feature selection under the background of big data. Firstly, a sports evaluation system is designed based on the Window Presentation Foundation (WPF) that adopts a Client–Server (C/S) mode. The overall architecture of the system is proposed by expounding the functional modules and the schema of information tables in the database. To assess the impact of sports, the data mining algorithm and big data analytics technique called Random Forest (RF) is used as the core evaluation system. With the help of information gain, feature selection is performed, based on which decision trees are constructed by generating branch nodes. The random forest is created by combining all the decision trees, which helps in improving the generalization. The proposed method is experimentally verified and it is found that the overall stability of the effect evaluation system is good and it effectively improves the efficiency and accuracy of sports effect evaluation, thus enhancing the level of athletes' training. The proposed sports effect evaluation method performs excellently in the experimental validation, as seen by the remarkable F1 Score of 85.32%, average accuracy of 84.28%, precision of 86%, and recall of 82.28%. In comparison, this performs noticeably better than current approaches, proving its improved efficacy in assessing the effects of sports and confirming its ability to improve athlete training proficiency. [ABSTRACT FROM AUTHOR]

In the motion recognition system, the motion track of athletes can be obtained in real time and accurately by using the light motion capture technology, which provides strong support for the training and competition of athletes. The purpose of this study is to explore the application of light motion capture technology based on multi-mode sensor in badminton players' motion recognition system, so as to improve the athletes' training effect and competitive level. In this paper, multi-modal sensors combined with light motion capture technology are used to obtain real-time athletes' motion data through sensors installed on athletes, and the data is analyzed and processed by algorithms. The position of athletes is tracked by optical sensors to obtain their motion trajectory. The research results show that the light motion capture technology based on multi-modal sensors can accurately identify the movement posture and action of badminton players, real-time monitoring of athletes' movement status, and provide timely feedback and guidance. Through the application of sports recognition system, the training effect of athletes has been significantly improved, and the competitive level has been effectively improved. [ABSTRACT FROM AUTHOR]

This paper aims to propose a table tennis target detection (TD) method based on deep learning (DL) and multi-scale feature fusion (MFF) to improve the detection accuracy of the ball in table tennis competition, optimize the training process of athletes, and improve the technical level. In this paper, DL technology is used to improve the accuracy of table tennis TD through MFF guidance. Initially, based on the FAST Region-based Convolutional Neural Network (FAST R-CNN), the TD is carried out in the table tennis match. Then, through the method of MFF guidance, different levels of feature information are fused, which improves the accuracy of TD. Through the experimental verification on the test set, it is found that the mean Average Precision (mAP) value of the target detection algorithm (TDA) proposed here reaches 87.3%, which is obviously superior to other TDAs and has higher robustness. The DL TDA combined with the proposed MFF can be applied to various detection fields and can help the application of TD in real life. [ABSTRACT FROM AUTHOR]

The completion degree of sports training can not reach the corresponding standard, and the training effect will be greatly weakened. In order to improve the effect of sports training, the evaluation method of sports training completion degree based on deep residual network is studied. The image collector based on ARM is used to collect the action images of athletes in sports training, and the collected action images are preprocessed based on spatial scale filtering and regression factors. Construct a depth residual network, learn the implicit relationship between athletes' state and the dynamic change process of sports training actions through off-line training, and train the model; In the online application process, the preprocessed action images will be input into the trained evaluation model to evaluate the athletes' sports training action completion in real time. At the same time, residual shrinkage unit and attention mechanism are used to optimize the depth residual network, which improves the training efficiency and evaluation performance of the network. The experimental results show that this method has good evaluation performance under the condition of setting parameters, and can effectively improve the effect of physical training. [ABSTRACT FROM AUTHOR]

To ensure both optimal health and performances, monitoring physiological and psychological states is of main importance for athletes. It is well known that monitoring heart rate variability and using validated questionnaires is useful for monitoring both the health and training status of athletes of different sports. Motorsports such as rally require high levels of physical and mental preparation thus information about psychophysiological status of rally athletes is fundamental. The aim of this study was to assess the autonomic regulation, stress, recovery conditions of one driver and one co-driver competing at the Italian National Rally Championship during their competition period. Heart rate variability parameters, acute recovery and stress states were assessed the day before, during the two days of race and the day following the races. Results showed that driver and co-driver had a sharp decrease of mean RR intervals, root mean square of successive differences between normal heartbeats, and standard deviation of the N-N interval during race days, while the stress index showed the inverse trend, and this behaviour was clearly visible in the Poincaré plots and power spectrum density graphs. The acute recovery and stress states questionnaire showed significant differences in recovery and stress scoring for the driver but not for the co-driver, although the trends were similar. This study describes the psychophysiological demands of a rally competition period suggesting that a daily evaluation of heart rate variability, recovery, stress states is useful for monitoring health status in rally athletes and could be implemented to make decision about training and recovery strategies. [ABSTRACT FROM AUTHOR]

Pressure training (PT) strategically increases pressure in training to prepare athletes to perform under pressure. Although research has studied how to create pressure during training, PT's effectiveness may depend on more than creating pressure. A practitioner's delivery of sport psychology interventions can moderate their effectiveness, so the current study explored perspectives of sport psychologists and athletes on the characteristics of effective PT delivery in applied settings. Eight international-level athletes and eight sport psychologists participated in semistructured qualitative interviews in which they described their experience participating in or conducting PT, respectively. Thematic analysis produced four themes relating to effective delivery: (a) collaboration with athletes and coaches: "with," not "to"; (b) integration into training; (c) upfront transparency; and (d) promoting learning before and after PT. The themes provide guidance for planning, conducting, and following up on PT sessions in applied settings. The best practices discussed could increase athletes' receptiveness to PT. [ABSTRACT FROM AUTHOR]

Attention is a key success factor in elite sports. Mindfulness training is suspected to be a determinant of attention. The present study was a wait-list controlled investigation of the effects of a mindfulness-based sport psychology program on sustained and selective attention in young elite athletes (n = 137) and the effects of mindfulness training dosage on improving attention scores. In addition, long-term effects were examined. Selective and sustained attention were assessed in a pre–post design using the Frankfurter Aufmerksamkeits-Inventar 2, a go/no-go task. The results of this study indicate that the Berlin Mindfulness-Based Training for Athletes improved both sustained and selective attention in young athletes and that more training in the same amount of time resulted in higher scores in the assessment. The data also indicate that students who continued to practice independently after the intervention had higher scores in the long-term measure. [ABSTRACT FROM AUTHOR]

The aim of this paper is to present theoretical aspects of the study of biomechanics in athletics, which is essential for performance optimization, injury prevention, and improvement of athletes' capabilities. This study contains various research directions in athlete biomechanics as well as biodynamic modeling and simulation in athletics. Finally, aspects of athlete training design and optimization are presented, which are essential for tailoring training programs to the individual needs and goals of athletes. [ABSTRACT FROM AUTHOR]

This document is a compilation of research articles in the field of psychology and sports. The articles cover various topics such as the effects of natural environments on self-control, the impact of auditory rhythm on motor timing, and the use of innovative technologies in athlete training. Other articles explore the relationship between sports motivation and physical self-conception in female adolescents, the effects of yoga on relaxation and serving accuracy in volleyball players, and the role of effort and motivation in adolescent athletes. Additionally, the document discusses the risk-taking behavior of rock climbers and the effects of acute training on executive function in college students. The articles provide valuable insights and practical implications for athletes and coaches. Another study in the document focuses on the relationship between coaching styles and athlete perceptions. Male and female student athletes emphasized the importance of the coaching relationship and provided insights into favorable and unfavorable coaching styles. The findings contribute to a better understanding of the emotional aspects of athletics and the impact of coaching on athletes. The article also highlights the significance of different coaching styles, with favorable styles being caring, constructive, and knowledgeable, while unfavorable styles are characterized by coaches who are perceived as not caring, degrading, and negative. Overall, the document emphasizes the importance of understanding the coach-athlete relationship and the implications of different coaching styles. [Extracted from the article]

The worldwide popularisation of running as a sport and recreational practice has led to a high rate of musculoskeletal injuries, usually caused by a lack of knowledge about the most suitable running technique for each runner. This running technique is determined by a runner's anthropometric body characteristics, dexterity and skill. Therefore, this study aims to develop a motion capture-based running analysis test on a treadmill called KeepRunning to obtain running patterns rapidly, which will aid coaches and clinicians in assessing changes in running technique considering changes in the study variables. Therefore, a review and proposal of the most representative events and variables of analysis in running was conducted to develop the KeepRunning test. Likewise, the minimal detectable change (MDC) in these variables was obtained using test–retest reliability to demonstrate the reproducibility and viability of the test, as well as the use of MDC as a threshold for future assessments. The test–retest consisted of 32 healthy volunteer athletes with a running training routine of at least 15 km per week repeating the test twice. In each test, clusters of markers were placed on the runners' body segments using elastic bands and the volunteers' movements were captured while running on a treadmill. In this study, reproducibility was defined by the intraclass correlation coefficient (ICC) and MDC, obtaining a mean value of ICC = 0.94 ± 0.05 for all variables and MDC = 2.73 ± 1.16° for the angular kinematic variables. The results obtained in the test–retest reveal that the reproducibility of the test was similar or better than that found in the literature. KeepRunning is a running analysis test that provides data from the involved body segments rapidly and easily interpretable. This data allows clinicians and coaches to objectively provide indications for runners to improve their running technique and avoid possible injury. The proposed test can be used in the future with inertial motion capture and other wearable technologies. [ABSTRACT FROM AUTHOR]

Magnetic resonance imaging (MRI) is the gold standard for outcome prediction after hypoxic-ischemic encephalopathy (HIE). Published scoring systems contain duplicative or conflicting elements. Infants ≥36 weeks gestational age (GA) with moderate to severe HIE, therapeutic hypothermia treatment, and T1/T2/diffusion-weighted imaging were identified. Adverse motor outcome was defined as Bayley-III motor score <85 or Alberta Infant Motor Scale <10th centile at 12 to 24 months. MRIs were scored using a published scoring system. Logistic regression (LR) and gradient-boosted deep learning (DL) models quantified the importance of clinical and imaging features. The cohort underwent 80/20 train/test split with fivefold cross validation. Feature selection eliminated low-value features. A total of 117 infants were identified with mean GA = 38.6 weeks, median cord pH = 7.01, and median 10-minute Apgar = 5. Adverse motor outcome was noted in 23 of 117 (20%). Putamen/globus pallidus injury on T1, GA, and cord pH were the most informative features. Feature selection improved model accuracy from 79% (48-feature MRI model) to 85% (three-feature model). The three-feature DL model had superior performance to the best LR model (area under the receiver-operator curve 0.69 versus 0.75). The parsimonious DL model predicted adverse HIE motor outcomes with 85% accuracy using only three features (putamen/globus pallidus injury on T1, GA, and cord pH) and outperformed LR. [ABSTRACT FROM AUTHOR]

Quantifying the effort of a sport confrontation by determining its temporal structure is of concern to the scientific community. In breaking this has not yet been sufficiently studied. The objectives of the study were to longitudinally analyze the temporal and sequential parameters of male breaking battles to determine the evolution of these parameters and to establish a model of temporal structure. All Red Bull BC One dancers from 2011 to 2021 (n = 152 dancers) participated. By using observational methodology, all battles were analyzed (n = 142). To obtain the results, we employed different analysis techniques: descriptive, normality tests, Student's t-test or Mann-Whitney, one factor ANOVA or Kruskall-Wallis and effect size (Cohen's d or Hedges' g). The significance level established for the study was ρ ≤ 0.05. The results define the temporal and sequential structure of the battles. With these, breaking professionals will be able to develop precise and adequate training for these athletes. We conclude that approaches to dancing and battling have evolved. The effort that the athlete must exert is increasing and will therefore require better preparation to cope with the physical demands required for a sport that will be incorporated into the Olympics program in 2024. [ABSTRACT FROM AUTHOR]

Musculoskeletal injuries are a common health problem among sporting populations. Such injuries come with a high financial burden to the involved organisations and can have a detrimental impact on the career attainment of injured individuals. Force plates are now a common tool available to sport and exercise science and medicine professionals to enable them to profile injury risk predisposition and modulate the rehabilitation process within sporting environments. This is because contemporary force plate technology is portable and affordable and often comes with software that enables the automatic and immediate feedback of test variables to key stakeholders. However, to our knowledge, to date, there has been no comprehensive review of the scientific literature pertaining to clinical applications of force plate technology. Therefore, this article presents a protocol and a methodological framework to perform a scoping review to identify and map the available scientific literature in which force plates have been applied to the injury profiling and rehabilitation of athletes. The specific aims of the scoping review are 1) to identify and describe the force plate tests, methodologies, and metrics used to screen for injury risk and guide the return of injured athletes to full-time training and competition, 2) to identify potential trends and/or differences by participants' age, sex, and/or level of performance in tests, methodologies, and metrics selected, and 3) to identify key gaps in the existing evidence base and new questions that should be addressed in future research. The global aim of the scoping review is to improve practitioner decision-making around force plate test and variable selection when applied to the injury prevention and rehabilitation of sporting populations. [ABSTRACT FROM AUTHOR]

Introduction: A critical step in understanding and preventing running-related injuries (RRIs) is appropriately defining RRIs. Current definitions of RRIs may not represent the full process of injury development, failing to capture lower levels of injury that many athletes continue to train through. Understanding runners' description and management of the injury development process may allow for a more appropriate examination of all levels of injury. This study aimed to examine recreational runners' description and management of the injury development process. Methods: A qualitative focus group study was undertaken. Seven semi-structured focus groups with male (n = 13) and female (n = 18) recreational runners took place. Focus groups were audio and video recorded, and transcribed verbatim. Transcripts were reflexively thematically analysed. A critical friend approach was taken to data coding. Multiple methods of trustworthiness were executed. Results: Runners describe injury on a nine-level continuum, ranging from injury-free to career-ending injury. There are lower and higher levels of injury. Each level of injury is described across four categories of descriptors; physical description, outcome (effect on running and daily life), psychological description, and management. Conclusion: The Running Injury Continuum is a tool that can be used for injury surveillance (for healthcare professionals and researchers) and for research investigating RRI risk factors. Healthcare professionals, researchers and coaches must ensure they monitor the development of all levels of RRIs, across all categories of descriptors. Runners need to be educated regarding appropriate self-management strategies for lower level injuries, with access to evidence-based information being a critical management tool. [ABSTRACT FROM AUTHOR]

This paper explores the innovative integration of dance culture application modeling within the context of basketball, with a dual emphasis on sports science and enterprise applications. The convergence of dance and basketball offers a unique opportunity to enhance player performance, promote physical conditioning, and facilitate dynamic teamwork.In sports science, the infusion of dance-inspired exercises and routines into basketball training regimens has proven instrumental in enhancing athletes' agility, coordination, and balance. These fundamental attributes are essential for basketball players to excel in dribbling, shooting, and defensive maneuvers. Furthermore, dance culture application modeling contributes to optimal physical conditioning, bolstering cardiovascular endurance and muscular strength, and basketball players maintain peak performance levels throughout the game. Beyond the court, the marriage of dance and basketball presents exciting prospects for enterprises within the sports industry. Team cohesion and motivation are vital for success, and dance culture modeling fosters teamwork, synchronization, and camaraderie among players. Such attributes translate into better on-court performance and contribute to a more marketable and engaging sports product. This approach can be a potent tool for branding, fan engagement, and marketing initiatives within the basketball ecosystem. Additionally, dance culture application modeling can play a pivotal role in injury prevention and rehabilitation, safeguarding players' physical well-being and prolonging their careers. It also offers a refreshing avenue for player wellness during off-seasons and recovery periods. This abstract showcases the promising intersection of dance culture application modeling with basketball, transcending conventional training methodologies. Through its amalgamation of sports science and enterprise applications, it not only elevates player performance but also enhances the appeal and viability of basketball as a dynamic and marketable sport. [ABSTRACT FROM AUTHOR]

Yang X, Ji Y, Ke D, Li F. Research on the methods and means of action strength training in aerobics training. Lu S. Scientific research and training satisfaction evaluation analysis of postgraduates in science and engineering colleges based on big data. [Extracted from the article]

Artificial intelligence (AI) is being employed not only in businesses, entertainment, and academia but also in sports training to raise the level of competition among athletes. Artificial neural networks (ANNs) are the brains of modern AI, and this paper examines their application in sports training's load prediction with the hope of improving athletic performance, creating scientifically efficient training programs, and increasing the accuracy of training load forecasts. First, a sports training analysis system based on Browser Server (B/S) is constructed, and the overall structure, specific function modules, and database of the system are designed and introduced. Then, the artificial fish swarm algorithm (AFSA)-based prediction and modeling approach of sports training's load is applied. To put it more specifically, we obtained a comprehensive index of joint acceleration in sports training by using data acquisition devices such as sensors. The independent variable in the load prediction is defined by the computational results, which are combined with other relevant features to obtain the load characteristics of sports training. The initial weights and thresholds of the ANN are optimized with the help of AFSA. To produce the final prediction result, the optimized ANN and extracted load characteristics are coupled with the prediction equation. The prediction model is applied to the sports training analysis system for realizing the application of training load prediction. Experiments show that the methods proposed in this paper can effectively improve the accuracy and efficiency of sports training and load prediction, improve the effect of athletes' training, and thus enhances the level of sports competitiveness. [ABSTRACT FROM AUTHOR]

The requirements of performance sport are becoming more and more time-consuming for athletes. Based on the work of Rosa, the article looks into the ability of athletes to reconcile their training project and the increasing requirements of practice at a high level. To address this issue, we interviewed 63 high-level French athletes who train at the French Institute of Sport. The results show that although the training project appears to be time-consuming, it is nonetheless a source of social balance and a reassuring choice for their future professional retraining. In order to preserve this educational project in the time-consuming context of high-performance sports, athletes on the one hand implement strategies of arrangement in order to produce an acceptable timetable, and on the other hand use this temporality as an adjustment variable allowing them to better manage temporal emergencies. By giving athletes a voice, this work deconstructs the idea of the incompatibility of educational and sports projects and offers recommendations to sports institutions. [ABSTRACT FROM AUTHOR]

The article is focused on the study of the electrical remodeling of the "athlete's heart" using multichannel ECG mapping to make a more detailed and informative analysis of the excitation of the myocardium remodeled by sport activity. The study of the heart electrical activity was carried out from 64 unipolar electrodes on the thorax surface synchronously with standard limb leads in highly trained cross-country skiers (n = 15) and young non-trained men (n = 19) at rest. The amplitude-temporal and spatiotemporal characteristics of the electric field of the heart were measured. By the typical distribution of areas of the negative and positive cardiac potentials, the durations of depolarization and its individual phases were estimated. ECGII was used to determine the duration of the R-R, PQ (PR), QRS, QT, QTc intervals; in the unipolar lead V5 the R-wave peak time (RWPTV5) was measured. In athletes, the duration of PQII, QTII, QTcII, RWPTV5 intervals were statistically significantly longer than in non-trained men. Analysis of the electrical field of the heart showed a difference in the ratio of the phases of ventricular depolarization in athletes and non-trained individuals at rest. The onset of ventricular depolarization and the first inversion of cardiac potential in athletes were significantly earlier than in non-trained people, while the completion and total duration of the period of ventricular depolarization did not differ. In skiers, the duration of the first inversion was significantly longer than in non-trained individuals; a tendency to shortening of the second period of stable location of potentials on the thorax surface was also shown. The use of surface ECG mapping made it possible to reveal differences in the spatiotemporal organization of heart ventricular depolarization between cross-country skiers and non-trained men at rest. The results of the study may be useful in the analysis of the electrical remodeling of the heart in athletes training the physical quality of endurance. [ABSTRACT FROM AUTHOR]

Purpose: Scapular dyskinesis is a common problem in athletes, especially overhead sports such as volleyball and basketball. The biomechanical and neurocognitive impairments are involved in the occurrence of the scapular dyskinesis. Based on previous studies about the whole-body vibration (WBV) effects on the athletes training, musculoskeletal injuries and neuromuscular responses, the current study focused on the investigation immediate effectiveness of WBV on neurocognitive parameters (reaction time and anticipatory skill) in overheads athletes with and without scapular dyskinesis. Methods: Thirty athletes with (n = 15) and without (n = 15) scapular dyskinesis participated in this interventional-observational study. The WBV applied with 30 Hz frequency and 5 mm amplitude in the modified push-up position in two groups. The scapular dyskinesis and neurocognitive parameters were recorded by the Caliper test and the Speed Anticipation Reaction Time (SART) system. Results: The Caliper measurement in three positions of arm significantly reduced after the WBV in the athletes with scapular dyskinesis (P < 0.005). The auditory complex choice reaction time significantly declined after the WBV between two groups (P = 0.042). Also, there was a correlation between the visual complex choice reaction time and 0 degree of abduction in both groups (P = 0.022). Conclusion: The WBV in the modified push-up position has immediately positive effects on neurologic and cognition skills in athletes with and without scapular dyskinesis. Based on these findings, WBV may have good potential for improved outcomes such as neurocognitive abilities and correction of scapular dyskinesia. [ABSTRACT FROM AUTHOR]

Simple Summary: The concept of altitude training became popular among human athletes following the 1968 Olympic Games, at which African runners were particularly successful. Culminating from these observations was the concept that during exercise training, local tissue hypoxia is an important adaptive stress for muscle that ultimately leads to superior physiological adaptations and enhanced endurance performance. The application of the concept of hypoxic training to the Thoroughbred horse is new, and now, with purpose-built hypoxic chambers, there has been a growing interest in its use in equine training programs. This paper provides a comprehensive discussion on the physiological impacts of hypoxic training, its benefits to endurance performance, and a rationale for utilizing it to improve performance in the equine athlete. All exercise-induced training adaptations are governed by genetics. Exercise prescriptions can be tailored to elicit the desired physiological adaptations. Although the application of hypoxic stimuli on its own is not ideal to promote favorable molecular responses, exercise training under hypoxic conditions provides an optimal environment for maximizing physiological adaptations to enhance endurance performance. The combination of exercise training and hypoxia increases the activity of the hypoxia-inducible factor (HIF) pathway compared to training under normoxic conditions. Hypoxia-inducible factor-1 alpha (HIF-1α) is known as a master regulator of the expression of genes since over 100 genes are responsive to HIF-1α. For instance, HIF-1-inducible genes include those critical to erythropoiesis, angiogenesis, glucose metabolism, mitochondrial biogenesis, and glucose transport, all of which are intergral in physiological adaptations for endurance performance. Further, hypoxic training could conceivably have a role in equine rehabilitation when high-impact training is contraindicated but a quality training stimulus is desired. This is achievable through purpose-built equine motorized treadmills inside commercial hypoxic chambers. [ABSTRACT FROM AUTHOR]

Biomarkers have emerged as valuable tools in the realm of elite sports, providing objective measures of athletes' physiological responses and potential for performance optimization. This article review delves into the significance and implications of biomarkers in elite sports, emphasizing their crucial role in supporting athletes' training, recovery, and overall success. The integration of biomarkers offers unprecedented opportunities for evidence-based decisions, personalized strategies, and injury prevention, revolutionizing the landscape of elite sports. Through comprehensive literature review and analysis, this article highlights the tremendous promise of biomarkers in optimizing athletic performance while also addressing the ethical considerations surrounding their implementation. As research continues to advance, biomarkers are poised to reshape the future of elite sports, enhancing performance and paving the way for the next generation of sporting legends. [ABSTRACT FROM AUTHOR]

Sports injuries have been a common concern during athlete training as the number of Chinese athletes and their training intensity have increased. These injuries frequently impact critical locations, including the waist, shoulder, and wrist, impeding training progress and intensity. Inadequate training levels, a lack of understanding of preventive measures, inappropriate movements, insufficient warm-up exercises, low physical condition, and an inability to adjust to the environment all contribute to sports injuries. As a result, athlete training and recovery suffer. To address these issues, this study presents a neural network-based sports injury risk analysis system that uses blockchain and the Internet of Things (IoT). The suggested system combines a multi-sensor data fusion technique based on blockchain and IoT to evaluate and analyze sports injuries completely. The system has three unique roles: coach, team doctor, and athlete, each with its functional modules. Sensors collect data on athletes' recovery from sports injuries by collecting and analyzing inputs inside the human action system. The system then establishes the output values of a neural network and a risk level table, allowing for the estimation of athletes' risk levels based on the given table. Comparing the traditional technique and the sports injury rehabilitation monitoring system demonstrates that the technology can reliably detect players' injury locations in as little as 0.2 s. Furthermore, a thorough examination of the system's tracking and analysis accuracy reveals a recovery rate of approximately 94.39%, demonstrating minimal fluctuations and improved stability. The experimental findings reveal that combining blockchain, IoT, and neural network technologies makes the proposed sports injury rehabilitation monitoring system useful in quickly recognizing damage positions and enabling accurate tracking and analysis. [ABSTRACT FROM AUTHOR]

High-level athletes participate in various events that need extreme fitness and stamina. Usually, after competitions, the athletes take part in systematic physical fitness and specialized skills training. The daily training sessions of an athlete are often of higher intensity level. This kind of long-term and high-intensity training affects an athlete both physically and mentally and overloads him/her, leading to sports injuries. As a result, an athlete is no longer capable to perform high-intensity training due to these injuries and unable to achieve the desired results in the competition. Therefore, the need for an intelligent system arises to evaluate, predict and detect sports injuries effectively. The significance of neural networks for target recognition motivates us to propose a novel dual-feature fusion neural network model for athlete injury estimation. Our proposed model solves the problem of feature loss by using a 1 × 1 convolution and hyperlink to form a dual-fusion structure to enhance effective discrimination. Multiple experiments have been performed using different classification models. The performance of the utilized models, including the proposed model, has been evaluated with the help of numerous performance evaluation metrics. Various preprocessing techniques have been used in this study. The proposed model attained an excellent classification accuracy of 97.0%, a sensitivity of 95.70%, and a specificity of 97.54%. Experimental results show that the performance of the proposed model is much better than the rest of the classification models used in this study. [ABSTRACT FROM AUTHOR]

Joint injury refers to the injury of soft tissue around the joint, such as capsule, ligament and tendon, caused by the joint suddenly moving to one side and exceeding its normal range of motion under the action of external force. It is called joint sprain. Psychological dredging has been widely used in the field of psychology and medicine. Therefore, it plays a very important role in the rehabilitation training of joint injury. [ABSTRACT FROM AUTHOR]

The essential purpose of this research study is to determine the digital coaching and mental skills development in sports. This research study also describes the harnessing power of information technology between them. This research depends upon primary research data analysis for measuring the research develop different research questions related to the variables. Digital coaching and mental skills development are independent variables; the sport and information technology are dependent variables. To determine the research study used, SPSS software results determine descriptive statistics, one-way ANOVA test analysis, the regression analysis, and control chart related to dependent and independent variables. The overall result found that digital coaching shows a positive also significant link in sport harnessing of information technology. Mental skills development also shows a direct link in sports related to information technology. [ABSTRACT FROM AUTHOR]

The aim of this investigation is to systematically review the impact of instability resistance training (IRT) on sports performance, providing both theoretical and practical insights for athletes in routine training. Adhering to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, databases such as Web of Science, EBSCOhost (SPORTDiscus), PubMed, and Scopus were employed for the comprehensive collection of original references. A total of 402 articles were gathered, with only 17 meeting the specified analytical criteria. The quality of each article was assessed using the PEDro scale, resulting in scores ranging from 2 to 6 across the 17 articles. IRT exhibited significant efficacy in enhancing sports and athletic performance across disciplines such as Judo, cricket, weightlifting, rifle shooting, sprinting, handball, soccer, and basketball, with the exception of 25 male elite golf players. Theoretically, this study posits that IRT, rooted in functional training, represents an advancement in activating core muscles, fostering coordination between agonistic and antagonistic muscles, and enhancing muscle proprioception - pivotal physiological foundations for augmenting exercise performance. Moreover, by emphasizing the integration of training actions and the role of the "power chain," IRT, adopting an unstable format akin to specialized exercises or increasing difficulty, aims to enhance training efficiency. Empirical evidence demonstrates that continuous IRT positively influences sports performance, with moderate IRT identified as a secure and effective stimulation method. Consequently, this review advocates for the incorporation of IRT into athletes' daily training routines to optimize sports performance. [ABSTRACT FROM AUTHOR]

Studying the different sides of 400 m sports preparation is a key factor for the proper development of sports results. Strength training is one of the most important parts of sprint running. The object of the study is sports training of athletes in the 400 m sprint, and in particular strength training. The subject is the content and volume of the annual preparation for girls under 18, specializing in 400 m sprint. We used the following methods: sports-pedagogical and technical-tactical analysis of athletes; interview; Case-study analysis; Mathematical and statistical methods. We analyzed: 16 macrocycles. Girls under 18 years have a large set of auxiliary exercises for strength training-total of 52. Volumetric characteristics must be precisely used according to age and individual qualities. We established minimum, maximum, and average volume values of the various means in macro-, meso- and microcycles. In conclusion, we can note the need for more scientific and methodological developments to help the process of applying specific volumes for the different strength exercises, during the different periods of annual preparation. With this study, we present relevant information for the volume and diversity of used athletic means used in practice and can help other coaches. [ABSTRACT FROM AUTHOR]

Background: The Army Combat Fitness Test (ACFT) is a performance assessment used by the U.S. Army to assess a cadet's strength, endurance, and agility with a series of six events to ensure that cadets are combat ready. Heart rate variability (HRV) is an instrument that measures cardiac autonomic modulation and has been incorporated to predict the performance of athletes in daily training and competition since acute bouts of exercise alter HRV variables. Purpose: To assess the applicability of using HRV to predict ACFT score performance outcomes in cadets. Methods: Fifty army cadets (n = 36 male; n = 14 female; age = 20.60 ± 3.61 years; height = 173.34 ± 10.39 cm; body mass = 76.33 ± 14.68 kg; body fat percentage  = 17.58 ± 5.26%) completed the ACFT and reported for HRV assessment. HRV assessment had the participant lay supine for 5 minutes, and traditional time and frequency domain variables were assessed. A Pearson's correlation and multiple linear regressions were run. Results: HRV time and frequency domains were not significantly correlated in linear regression models except the stress index (SI) and the 2-mile run (2MR). The standing power throw and sprint drag carry were significantly correlated with traditional HRV variables. Conclusions: HRV was not a predictor of ACFT performance for individual events or overall ACFT. The SI presented predictive properties only for 2MR, with no other significant correlations between HRV variables with standing power throw and sprint drag carry. The SI ability to predict 2MR performance outcome via HRV is a promising tool to assess army cadet performance and recovery. [ABSTRACT FROM AUTHOR]

Introduction: Ankle instability is a common injury in athletes, affecting the quality of life, functional limitation, as well as static and dynamic balance. The aim of the study was to compare the efficacy of virtual reality and Biodex balance training in the treatment of ankle instability in adolescent athletes. Material and methods: Ninety football players were enrolled in this study after the assessment of their eligibility. Their age ranged from 12 to 16 years. They were randomly allocated to three groups of equal numbers. Group 1 received a guideline protocol, group 2 received the same guideline protocol in addition to Wii Sport Training, and group 3 received the same guideline protocol in addition to Biodex balance training. All groups received treatment protocols three times a week for 3 months. Outcome measures included the stability indices (overall stability, anteroposterior stability, and mediolateral) measured by the Biodex Balance System as well as ankle instability measured by the Cumberland Ankle Instability Tool. Measurements were collected at the baseline and after 3 months of treatment. Results: Post-treatment findings revealed a statistically significant decrease in the overall, anteroposterior, and mediolateral stability indices, as well as significant increase in Cumberland Ankle Instability outcomes of all groups (p < 0.05). On the other hand, there were no statistically significant differences between the virtual reality and Biodex balance training groups. Conclusions: Virtual reality training has a significant effect which appears to be similar to the Biodex balance training in adolescent athletes with chronic ankle instability. [ABSTRACT FROM AUTHOR]

There are several studies that evaluate countries in the Olympics with DEA, but few with NDEA and, as far as we know, they do not resemble the hybrid orientation model used in this study. This study uses a Network DEA model to assess the efficiency of the countries that participated in the Rio 2016 Olympic Games. Population and GDP values were used as inputs, the number of athletes were used as an intermediate variable and the number of medals won by each country were used as outputs. A two-dimensional representation of the efficiency frontier was also developed to facilitate the interpretation of the results. Granada was the most efficient country, while it was possible to observe, in general, the poor performance of countries that are well ranked in the lexicographic method. [ABSTRACT FROM AUTHOR]

This article presents the performance factors identified by Olympic athletes and analyzes how they were prioritized and implemented during the 2012–2016 Olympiad. To address this issue, 28 semistructured interviews were conducted with French athletes who participated in the Olympic Games in 2016. The analysis shows that to achieve performance, only two factors were implemented by all the athletes: training and physical preparation. The other factors, namely, mental preparation, nutrition, and recovery care, were not implemented by all athletes. In addition, two main types of configurations have been identified: a minority of athletes (n = 4) for whom the choice of performance factors and their implementation are controlled by the coach and a majority (n = 24) who adopts secondary adjustments by relying on a parallel network. [ABSTRACT FROM AUTHOR]

Purpose: Continuous and long-term prospective monitoring of athletes in natural training environments is essential to provide further clarity on the risk factors for running-related injuries. However, participant recruitment and retention can be problematic. This study aimed to identify factors for facilitating the recruitment and retention of recreational runners in prospective, longitudinal running-related injury research involving running technologies. Methods: Twenty-seven recreational runners (14 female, 13 male) participated across nine semi-structured focus groups. Focus groups were audio and video recorded and transcribed verbatim. A reflexive thematic analysis was undertaken, with a critical friend approach taken to enhance reliability. Results: Incentives, recruiting suitable participants, ease of use of running technologies, an appropriate research design, and good communication practices will facilitate recruitment and retention. Conclusion: Receiving study outputs, evidence-based information and undergoing laboratory testing were identified as incentives, however, researchers need to consider whether these may influence participant behaviour and adversely bias the findings of their study. Researchers should offer participants an option with regard to the type, content, frequency and mode of delivery of incentives and communication. Appealing to potential participants' personal interests will facilitate initial recruitment, while attempts to 'feed' this interest throughout the course of a study will enhance retention. Employing a user-friendly smartphone app and unobtrusive sensor(s), and a research study that can work with runners' training schedules and technology usage habits, will further facilitate their recruitment and retention. [ABSTRACT FROM AUTHOR]

Observing mitral or tricuspid valve disease in an athlete raises many considerations for the clinician. Initially, the etiology must be clarified, with causes differing depending on whether the athlete is young or a master. Notably, vigorous training in competitive athletes leads to a constellation of structural and functional adaptations involving cardiac chambers and atrioventricular valve systems. In addition, a proper evaluation of the athlete with valve disease is necessary to evaluate the eligibility for competitive sports and identify those requiring more follow-up. Indeed, some valve pathologies are associated with an increased risk of severe arrhythmias and potentially sudden cardiac death. Traditional and advanced imaging modalities help clarify clinical doubts, allowing essential information about the athlete's physiology and differentiating between primary valve diseases from those secondary to training-related cardiac adaptations. Remarkably, another application of multimodality imaging is evaluating athletes with valve diseases during exercise to reproduce the sport setting and better characterize the etiology and valve defect mechanism. This review aims to analyze the possible causes of atrioventricular valve diseases in athletes, focusing primarily on imaging applications in diagnosis and risk stratification. [ABSTRACT FROM AUTHOR]

This study aims to improve the athletic performance of triple jumpers in special physical training. First, the triple jumper's balance board is explained with the special training method. Second, three-dimensional tracking scan image analysis is used to videotape the training process of triple jumpers. Convolutional Neural Networks (CNNs) perform image analysis of triple jumpers performing specific training with a balance board. Finally, the training of triple jumpers is subjected to image analysis. According to the special training speed, angle, and time of triple jumpers combined with the balance board, the physical fitness changes are analyzed. The results show that triple jumpers combined with the balance board training improved the technique of step jump from the aspects of take-off speed, landing speed, all angles of step jump, and support time. The combination of the balance board and the special training significantly improves the speed of the triple jumpers, and the changes of various angles during the training process are also relatively improved, which improves the balance and coordination of the training limbs of the triple jumpers. The balance board combined with special training can significantly improve the physical fitness of triple jumpers. CNN is used to analyze and validate triple jumpers combined with balance board training images. The experimental training analysis has achieved the ideal effect. This study uses the image analysis method to analyze the training process of athletes based on deep learning and provides direction for athletes' special physical training. [ABSTRACT FROM AUTHOR]

This study aims to analyse the winners and errors shot in professional padel according to gender, type of point and the point duration, observing the differences between winners and losers. For this 1927 points of 14 matches (7 male and 7 female category) from the World Padel Tour Master Final 2021 were analyzed, where participated 32 padel players (16 men players and 16 women players), using an ad-hoc instrument obtaining an inter-observer reliability above 0.9. The results show that the effectiveness depending on the gender (p = .001), where the male padel players perform 12% more winners than females padel players. Attending to the importance of the point, winning pairs perform 10% more winner shots than lossers, both in the male category (p=.002) and female (p= .004) in no key points. No differences exist in key points. Point duration affects to the shot effectiveness, specifically in medium duration points in male category (p=.026)> and short duration points in female category (p=.007), with a higher winner shot produced by winning pairs. These results have a great practical application for coaches, providing information for the design of training programs similar to competitions situations. In addition, especific strategies can be develop during the matches according to the gender and the score. [ABSTRACT FROM AUTHOR]

The essential aim of this research study is to represent the effects of goal setting also that feedback on motivation and performance in sports. This research study was based on primary data analysis to determine the research study used open- ended also closed-ended questions related to the variables. Goal setting is the main independent variable; the feedback is also independent of motivation and performance. Both represent the dependent variables. For measuring, the research study used SPSS software and generated informative selective results, including descriptive statistics, the one-way ANOVA test analysis, regression analysis, and model variance analysis, also that present the chi components analysis between them. The overall research study found that goal setting shows a positive effect on motivation and performance in sports. The feedback link positively and significantly to motivation and performance in sport. [ABSTRACT FROM AUTHOR]

The study aims to determine if stress and anxiety reduction techniques may enhance sports performance. We will do a complete assessment of earlier research on mindfulness training and sporting performance to answer this issue. This research study is based on primary data to determine whether the research study used smart PLS Software and generated informative results. The research examines how mindfulness affects stress, anxiety and attention and how these elements affect athletic performance. We will also examine how stress and anxiety affect athletes' performance and how mindfulness training may help athletes better control these emotions. Our ultimate objective is to offer insightful analysis and suggestions to coaches and athletes who want to improve their performance via mindfulness training. Overall result found that mindfulness training has the potential to significantly impact players' physical, mental, and athletic performance. To assure widespread acceptance and success, more study is required to examine the obstacles to introducing mindfulness training in sports teams and how these obstacles might be removed. Athletes and coaches can enhance performance by integrating mindfulness training and gaining insightful information about an athlete's well-being. [ABSTRACT FROM AUTHOR]