Characteristics Of Athletes Research Articles

Morphological and Functional Characteristics Analysis of Adolescent Motor Ability Based on Cloud Computing Motion Capture Algorithm

The purpose of this paper is to analyze the shape and physical function characteristics of adolescent athletic ability. The movement data of teenagers in the exercise process is collected processed and analyzed in real time by a cloud computing platform. Then, through comparative analysis, the physical function characteristics and morphological characteristics of teenagers in different sports are obtained. This paper investigates and analyzes the physical and functional characteristics of young athletes. According to the analysis results, the training methods and suggestions to improve the youth’s sports ability are put forward. The results show that the young athletes are small in stature, flexible in body, sensitive in response, good in respiratory function and high in body fat form and function. This study provides a scientific basis for the cultivation and promotion of youth sports ability and is of great significance to physical education and sports training.

Balance Ability Characteristics and Related Factors in Athletes Across Different Sports: A Preliminary Study

Background: We conducted a cross-sectional study to examine two-leg- and one-leg-type balance characteristics in athletes and explore factors related to their balance ability. Methods: A total of 213 participants, including athletes from various sports (gymnastics, boat racing, swimming, soccer, judo, and baseball) and non-athletes, were included (142 men, 71 women, average age 21.5 ± 2.1 years). Balance ability was classified into two-leg and one-leg types using the modified index of postural stability (mIPS) in a two-leg stance and the one-legged stance duration with eyes closed (OLS). Body composition, upper and lower limb strength, and lower limb sensation were also measured. To examine the balance characteristics of each sport, the mIPS and OLS were used as dependent variables in a multiple regression model with age, height, weight, and sex as independent variables. Results: The results showed a significantly higher mIPS in gymnastics (estimate: 0.22) and boat racing (0.14), and it was lower in swimming (−0.25). The OLS was significantly higher in soccer (16.98), judo (16.23), gymnastics (9.77), and baseball (9.12) and significantly lower in swimming (7.93). Additionally, the mIPS was independently associated with knee extension strength (0.12), sensory motor variables (−0.004), and height (−0.01). The OLS was associated with skeletal muscle mass (1.85) and height (−1.42). Conclusions: In summary, gymnasts showed superior two-leg and one-leg balance; boat racers excelled in two-leg balance; swimmers showed inferior two-leg but better one-leg balance; and soccer, judo, and baseball athletes demonstrated superior one-leg balance. Additionally, the mIPS was associated with knee extensor strength, plantar pressure sensation, and height, whereas the OLS was associated with skeletal muscle mass and height.

Research on prediction and evaluation algorithm of sports athletes performance based on neural network.

The Ultimate Fighting Championship (UFC) stands as a prominent global platform for professional mixed martial arts, captivating audiences worldwide. With its continuous growth and globalization efforts, UFC events have garnered significant attention and achieved commendable results. However, as the scale of development expands, the operational demands on UFC events intensify. At its core, UFC thrives on the exceptional performances of its athletes, which serve as the primary allure for audiences. This study aims to enhance the allure of UFC matches and cultivate exceptional athletes by predicting athlete performance on the field. To achieve this, a recurrent neural network prediction model based on Bidirectional Long Short-Term Memory (BiLSTM) is proposed. The model seeks to leverage athlete portraits and characteristics for performance prediction. The proposed methodology involves constructing athlete portraits and analyzing athlete characteristics to develop the prediction model. The BiLSTM-based recurrent neural network is utilized for its ability to capture temporal dependencies in sequential data. The model's performance is assessed through experimental analysis. Experimental results demonstrate that the athlete performance prediction model achieved an overall accuracy of 0.7524. Comparative analysis reveals that the proposed BiLSTM model outperforms traditional methods such as Linear Regression and Multilayer Perceptron (MLP), showcasing superior prediction accuracy. This study introduces a novel approach to predicting athlete performance in UFC matches using a BiLSTM-based recurrent neural network. By leveraging athlete portraits and characteristics, the proposed model offers improved accuracy compared to classical methods. Enhancing the predictive capabilities in UFC not only enriches the viewing experience but also contributes to the development of exceptional athletes in the sport.

The Biomechanical differences in maximum snatch weight between elite and sub-elite weightlifters: A one-dimensional statistical parameter mapping study

Background: Current research primarily relies on discrete data collected at specific time points to analyze the weightlifting process, often overlooking the impact of continuous temporal changes on athletic performance. Purpose: This study aimed to quantitatively analyze the one-dimensional kinematic patterns of maximum snatch weight actions in elite and sub-elite weightlifters using statistical parameter mapping (SPM). It explores kinematic differences in snatch actions between elite and sub-elite weightlifters, which assists in summarizing the technical characteristics of elite athletes. Methods: Two cameras recorded three successful maximum snatch attempts of 10 elite and 10 sub-elite weightlifters at the World Weightlifting Championships and Chinese Olympic selection competitions. Simi Motion 10.2 was used for kinematic analysis. SPM was employed for comparative analysis of snatch kinematics among different levels of weightlifters, and independent sample t-tests were used for phase duration proportions. Results: Elite weightlifters showed significant advantages in multiple movement phases: smaller knee joint angles in M1 phase (p < 0.001, 35.82%–78.45%) and M3 phases (p = 0.047, 17.47%–24.74%; p = 0.036, 30.92%–49.38%; p = 0.040, 50.93%–65.85%); lower vertical body center of gravity (COG) height in M1 phase (p = 0.019, 0.00%–51.08%), M3 phase (p = 0.046, 48.27%–100.00%), and M5 phase (p = 0.045, 38.49%–59.54%); closer displacement between barbell COG and body COG in M1 phase (p = 0.006, 0%–38.18%; p = 0.048, 43.91%–48.94%) and M2 phase (p = 0.026, 0%–100%); greater barbell acceleration in M5 phase (p < 0.001, 0%–94.61%); and slower barbell descent speed in M6 phase (p = 0.001, 0%–30.58%; p = 0.046, 44.57%–51.37%; p = 0.048, 67.16%–72.41%). Moreover, elite weightlifters exhibited significantly higher phase duration proportions in M1 phase (p = 0.034, d = 1.03) than sub-elite weightlifters. Conclusion: Elite weightlifters demonstrated longer distance and time exerting work on the barbell in M1 phase, less energy consumption in barbell ascent in M2 phase, and greater upward power gain for the barbell in M1 and M3 phases. They showed faster squat-to-barbell catching speed in M4 phase and excellent braking and precise squat-to-barbell catching capabilities in M5 and M6 phases.

Multistream Adaptive Attention-Enhanced Graph Convolutional Networks for Youth Fencing Footwork Training.

The popularity of fencing and intense sports competition has burdened adolescents with excessive training, harming their immature bodies. Traditional training methods fail to provide timely movement corrections and personalized plans, leading to ineffective exercises. This paper aims to use artificial intelligence technology to reduce ineffective exercises and alleviate the training burden. We propose an action recognition algorithm based on the characteristics of adolescent athletes. This algorithm uses multimodal input data to comprehensively extract action information. Each modality is processed by the same network structure, utilizing attention mechanisms and adaptive graph structures. A multibranch feature fusion method is used to determine the final action category. We gathered the fencing footwork data set 2.0. Our model achieved 93.3% accuracy, with the highest precision at 95.8% and the highest F1-Score at 94.5% across all categories. It effectively recognized actions of adolescents with different heights and speeds, outperforming traditional methods. Our artificial intelligence-based training solution improves training efficiency and reduces the training burden on adolescents.

Injury Characteristics and Risk Factors of Sport-Related Concussion Among High School Athletes in School-Sponsored Sports.

Over a million sport-related concussions (SRC) affect children annually in the United States, posing a significant public health concern. Limited data exist on the premorbid risk factors and injury characteristics of SRCs in high school athletes. This study aims to understand acute SRC injury characteristics and describe premorbid risk factors in high school athletes. Athletes (aged 14-19 years) from 19 central Illinois high schools participating in school-sponsored sports from 2009 to 2023 were included. Sports Concussion Assessment Tool evaluations were performed as part of preseason and postinjury evaluations. Injury characteristics, such as mechanism, setting, and symptoms, were described using all SRCs in the study period. Odds ratios (OR) were computed to determine risk factors using athletes with a baseline Sports Concussion Assessment Tool before SRC and nonconcussed athletes. In total, 4360 athletes were included (3953 without SRC; 407 with ≥1 SRC of whom 168 had a previous baseline). Overall, 24.2% of SRCs occurred in female athletes, and most SRCs occurred in competitions while playing American football (52.3%), soccer (20.4%), and basketball (7.6%). Blow/hit to the head was the most common mechanism. Headache was the most severe symptom (2.55 ± 1.51 [SD]), and symptoms of emotionality and nervousness/anxiety were significantly more severe in female athletes (P < .05). Students with previous concussions (OR 2.64 95% CI [1.81, 3.78]), previous hospitalization for head injury (OR 3.19 95% CI [1.9, 5.14]), headache/migraine disorders (OR 2.23 95% CI [1.29, 3.66]), and learning disabilities (OR 2.69 95% CI [1.47, 4.61]) had greater odds of SRC (P < .05). Lower odds of SRC were seen in athletes identifying as Black or African American (vs White) (OR 0.54 95% CI [0.32, 0.86]) and those attending larger (vs smaller) schools (OR 0.64 95% CI [0.46, 0.88]). Understanding SRC risk factors and characteristics in high school athletes is critical for developing prevention and management programs, guiding neurosurgeons in mitigating SRC risk, and informing return-to-play decisions.

Advocating individual-based profiles of elite athletes to capture the multifactorial nature of elite sports performance

Elite athletes are high-performance outliers within their specific sports. Even though science seeks to understand the nature of expertise and elite performance, much knowledge remains compartmentalized within subdisciplines. Despite this multidimensionality being acknowledged, an interdisciplinary approach to understanding elite athletes is still rare. This paper synthesizes insights across scientific domains in order to describe the population and individual characteristics of elite athletes. We analyzed diagnostic data from approximately 300 German squad athletes across eight different sports (e.g., gymnastics, volleyball, ice hockey, 3 × 3 basketball etc., agefemale = 18.95 ± 4.84 years, agemale = 19.32 ± 4.19 years) with expertise values ranging from 2 (low expertise) to 16 (high expertise). Data covered muscular strength, lower-body dynamics, muscle-power genetics, blood micronutrients, basic cognitive function, mental health, social support, and training conditions. Results of logistic regressions identified basic cognitive function (B = 0.89) and well-balanced blood micronutrients (B = 1.22) as critical factors distinguishing elite athletes. Additionally, multiple linear regressions suggested that lower-body dynamics (ß = 0.72) is related to increasing expertise values. We examined interactions between determinants of elite performance, and found that social support is positively associated with mental health and training conditions, whereas muscular strength correlates with lower-body dynamics. Focusing on top elite athletes in contrast to semi-elite athletes, we found higher within-group similarities in basic cognitive function and blood micronutrients. Findings indicate the need for a systemic, individualized, and comprehensive model using individual-based profiles.

Return to Play After Shoulder Stabilization –What If This Isn't Going Well?

Traumatic shoulder instability is prevalent among athletes, often leading to surgical intervention and challenging rehabilitation outcomes. This chapter explores the complexities surrounding return to play (RTP) following shoulder stabilization procedures, highlighting the significant variance in RTP rates and the common lag in returning to pre-injury performance levels, particularly in throwing athletes. Factors influencing successful outcomes include the nature of the instability, surgical approach, and individual athlete characteristics. A consensus on RTP criteria remains elusive, with a predominant reliance on time-based recovery, yet evidence suggests that other physical and psychological variables must be considered. Emphasizing a shared decision-making process and ongoing assessment of range of motion, strength, and proprioception, this chapter aims to identify key deficits and interventions that can enhance rehabilitation success for athletes struggling to return to play. Effective communication among the sports medicine team and the athlete is essential to optimize adherence to rehabilitation protocols and improve overall outcomes.

Structural echocardiographic parameters in male and female Asian athletes: a systematic review and meta-analysis

Abstract Introduction Following repetitive structured and intense physical training, elite athletes’ hearts undergo physiological cardiac remodelling, including increased left ventricular (LV) size and LV wall thickness. These changes may mimic those seen in pathological cardiac conditions such as dilated and hypertrophic cardiomyopathy, posing a challenge for accurate diagnosis. Reference ranges for common echocardiographic parameters in elite Caucasian and Black athletes have been reported, facilitating differentiation between physiological and pathological changes in these demographics. However, there remains a paucity of data for Asian athletes despite their increasing representation in global sport. Methods We searched MEDLINE via PubMed, Embase, and the Cochrane Database for relevant studies from inception till 20th November 2023. We included observational studies that reported relevant echocardiographic parameters in elite Asian athletes. Studies that did not report gender-specific cardiac imaging parameters were excluded. After study selection and data extraction, random-effects meta-analysis of means was performed to obtain the weighted mean and 95% confidence intervals (CI) of common echocardiographic parameters stratified by gender. Results Our final search yielded 10 studies comprising a total of 1,111 elite athletes (996 male, 115 female; 53% Japanese, 21% uncategorised, 14% South-East Asian). Athletes participating in skill and power disciplines were excluded from analysis post-hoc due to a paucity of data and extreme data ranges. In male athletes, mean LV wall thickness was 9.4 mm (95% CI 8.5-10.3, I2 = 98.9%), mean LV end diastolic diameter was 54.7 mm (95% CI 52.5-57.0, I2 = 98.6%), mean LV mass indexed to body surface area was 97.5 g/m2 (95% CI 90.5-104.5, I2 = 97.5%) and mean aortic root diameter was 31.9 mm (95% CI 29.2-34.7, I2 = 99.5%). In female athletes, mean LV wall thickness was 7.9 mm (95% CI 7.5-8.4, I2 = 85.4%), mean LV end diastolic diameter was 47.1 mm (95% CI 45.8-48.3, I2 = 77.3%), mean LV mass indexed to body surface area was 79.5 g/m2 (95% CI 69.2-89.7, I2 = 92.8%) and mean aortic root diameter was 27.5 mm (95% CI 26.9-28.1). Conclusion This meta-analysis describes commonly reported echocardiographic parameters in elite Asian athletes from endurance and mixed sport disciplines. The absolute values of all reported parameters appear to fall far below reported limits for non-Asian athletes, highlighting substantial ethnic and regional variation in cardiac remodelling in elite athletes. While our results facilitate preliminary referencing of expected normal ranges in this demographic group, further studies are necessary to fully define the cardiac characteristics of Asian athletes.

Impact of moderate aerobic exercise on small-world topology and characteristics of brain networks after sport-related concussion: an exploratory study

Sport-related concussion (SRC) is a complex brain injury. By applying graph-theoretical analysis to networks derived from neuroimaging techniques, studies have shown that despite an overall retention of small-world topology, changes in small-world properties occur after brain injury. Less is known about how exercise during athletes’ return to sport (RTS) influences these brain network properties. Therefore, in the present study dense electroencephalography (EEG) datasets were collected pre- and post-moderate aerobic exercise. Small-world properties of whole brain (WB) and the default mode network (DMN) were extracted from the EEG datasets of 21 concussed athletes and 21 healthy matched controls. More specifically, path length (LP), clustering coefficient (CP), and small-world index (SWI) in binary and weighted graphs were calculated in the alpha frequency band (7–13 Hz). Pre-exercise, SRC athletes had higher DMN-CP values compared to controls, while post-exercise SRC athletes had higher WB-LP compared to controls. Weighted WB analysis revealed a significant association between SRC and the absence of small-world topology (SWI ≤ 1) post-exercise. This explorative study provides preliminary evidence that moderate aerobic exercise during athletes’ RTS induces an altered network response. Furthermore, this altered response may be related to the clinical characteristics of the SRC athlete.

Neuromuscular synergy characteristics of Tai Chi leg stirrup movements: optimal coordination patterns throughout various phases.

To investigate the neuromuscular activity characteristics of Tai Chi athletes and identify optimal muscle synergy patterns. Data were collected from 12 elite Tai Chi athletes using a Vicon motion capture system, a Kistler 3D force plate, and a Noraxon surface electromyography system. Muscle synergy patterns were extracted using Non-negative Matrix Factorization. Four muscle synergy patterns were identified in each of the three phases of the leg stirrup movement, with the optimal synergy pattern for each phase determined as follows: knee lift phase: rectus femoris and vastus lateralis of the right leg; extension phase: rectus femoris, vastus lateralis, biceps femoris, and medial gastrocnemius of the right leg; recovery phase: rectus femoris, vastus lateralis, and medial gastrocnemius of the right leg. These patterns explain the muscle coordination activities for each phase. This study identified the optimal muscle synergy patterns for each phase, supporting the fluidity and force generation of the leg stirrup movement. This provides Tai Chi athletes with a more efficient way to exert strength and maintain balance.

Chronotype, sleep hygiene, and sleep characteristics among athletes of different disciplines.

The objective of the study was to assess chronotype, sleep hygiene, and sleep characteristics of Italian athletes in order to identify differences among sport disciplines (team- vs individual-sports), level of competition (Elite vs Non-Elite) and sexes. Moreover, correlations between chronotype, sleep hygiene and sleep quality were evaluated. Two hundred eighty Italian athletes (Females:113; Males:167) participated in the study. They completed the Pittsburgh Sleep Quality Index (PSQI), the Sleep Hygiene Index (SHI) and the MorningnessEveningness Questionnaire (MEQ). Among the athletes, 66.4% were intermediate-type, 21.8% were morning-type and 11.8% were evening-type. 55.4% of the sample was classified as good sleeper (PSQI<5), while 16.1% had poor sleep hygiene (SHI≥35). Females had higher total sleep time (p=0.022) than males. Individual-sports showed more morning-oriented score (p=0.001) and lower PSQI (p=0.006) and SHI (p<0.001) scores, with earlier timing of sleep (bedtime:p<0.001; wake-up time:p<0.001) compared to teamsports. Elite athletes exhibited greater sleep efficiency (p=0.009), and lower sleep latency (p=0.018) and wake after sleep onset (p=0.043) than Non-Elite athletes. Additionally, significant correlations were found between PSQI and SHI (r=0.43, p<0.001), and between MEQ and SHI (r=-0.35, p<0.001). This study yields crucial insights into the sleep behaviors of Italian athletes, revealing that nearly half of the sample were bad sleepers.

Psychological resilience and performance under pressure: a study of elite badminton players - a systematic review

Psychological resilience is a critical factor influencing athlete performance in many sports, including badminton. This study aims to systematically review the existing literature to understand the relationship between psychological resilience and elite badminton athlete performance. The research background details the importance of psychological factors in the context of sport, particularly under competitive pressure. Focusing on elite badminton players, the study aimed to identify consistency and variation in previous research findings and detail the practical implications for athlete training and coaching. Research materials and methods included a systematic design with explicit inclusion and exclusion criteria. A thorough literature search was conducted to identify relevant studies that met the inclusion criteria. A careful study selection process was completed, and data were extracted for systematic analysis. Data analysis methods used included synthesizing findings from multiple studies, potentially using meta-analysis where appropriate. The results present the main findings regarding the relationship between psychological resilience and the performance of elite badminton athletes. The analysis of findings from multiple studies highlights the consistency in this relationship while acknowledging the variation that may occur due to differences in competitive context and athlete characteristics. The practical implications of these findings are explained in the context of training and coaching badminton athletes to enhance their psychological resilience under competitive pressure.The research conclusions highlight the vital contribution of this study to understanding psychological factors in badminton. This research provides a foundation for developing more effective training strategies and coaching of athletes that can enhance their psychological resilience, thereby improving their performance at the elite level. As such, this study provides scientific insights and practical guidance for the potential development of elite badminton athletes under competitive pressure.

Kinematic characterization of backhand stroke accuracy in squash based on kinematic variables between two different skill levels-a preliminary cross-sectional study.

The aim of this study was to compare differences in shot placement and accuracy between national and international level squash players. Squash is a technically demanding sport and understanding the biomechanical characteristics of athletes at different levels is important for developing effective training strategies. The study used a three-dimensional motion analysis system, a high-speed video camera, and a professional tee for biomechanical testing. Participants included national and international level squash players. The kinematic characteristics of the shoulder, elbow, and wrist joints of the upper extremity for backhand strokes, as well as the accuracy of the strokes, were analyzed to compare the differences between the two groups of athletes in terms of stroke posture and accuracy. The kinematic analysis of the backward backhand stroke revealed that national squash players showed significant differences compared to international players in several key parameters. Specifically, national players had significantly greater trunk flexion (P=0.018) and less shoulder medial rotation (P=0.027). They also had lower racket velocity in the X-direction (P=0.043). However, there were no significant differences in trunk lateral flexion (P=0.487), trunk rotation (P=0.293), shoulder extension/flexion (P=0.396), elbow flexion/extension (P=0.818), wrist flexion/extension (P=0.177), wrist rotation (P=0.476), racket pitch (P=0.112), racket velocity in the Y-direction (P=0.587), or racket velocity in the Z-direction (P=0.327). Additionally, data for racket yaw, racket roll, and racket Vx were not provided with significant values, indicating that these parameters do not show significant differences. International level players outperformed national level players in squash stroke accuracy and control. Key kinematic factors influencing accuracy include trunk forward flexion, shoulder abduction, shoulder internal rotation, and racket angles. The study recommends that coaches design training to enhance technical details and positional control to improve squash performance.

Comparative Analysis of Motor Skills and Morphological Characteristic of the Young Female Athletes

Handball and volleyball are quite different sports. Thus, this research was inspired by these differences, by similar previous research, and the aspire to see if there are differences between the performances of young female athletes that play handball and volleyball. The aim of this research is to perform a comparative analysis of motor skills and morphological characteristics of young female athletes, handball and volleyball players. The complete sample consisted of 50 female athletes. One study group is composed of 25 female handball players, who are members of the womenʼs handball club „Niksic“. And the second study group is composed of 25 female volleyball players, who are members of the womenʼs volleyball club „Volley Star“. All female athletes are aged 12 to 14 and they have been training handball or volleyball for at least 2 years. In order to assess morphological characteristics and motor abilities, fourteen measures were applied to the sample. A t-test was used to determine statistically significant differences between study groups. In conclusion, there are statistically significant differences in terms of motor skills and morphological characteristics between young female handball and volleyball players.

Differential Resting-State Brain Characteristics of Skeleton Athletes and Non-Athletes: A Preliminary Resting-State fMRI Study.

(1) Background: This study investigates the resting-state brain characteristics of skeleton athletes compared to healthy age-matched non-athletes, using resting-state fMRI to investigate long-term skeleton-training-related changes in the brain. (2) Methods: Eleven skeleton athletes and twenty-three matched novices with no prior experience with skeleton were recruited. Amplitude of low-frequency fluctuation (ALFF) and seed-based functional connectivity analyses were explored to investigate resting-state functional magnetic resonance imaging (rs-fMRI) data, aiming to elucidate differences in resting-state brain function between the two groups. (3) Results: Compared to the control group, skeleton athletes exhibited significantly higher ALFF in the left fusiform, left inferior temporal gyrus, right inferior frontal gyrus, left middle temporal gyrus, left and right insula, left Rolandic operculum, left inferior frontal gyrus, and left superior temporal gyrus. Skeleton athletes exhibit stronger functional connectivity in brain regions associated with cognitive and motor control (superior frontal gyrus, insula), as well as those related to reward learning (putamen), visual processing (precuneus), spatial cognition (inferior parietal), and emotional processing (amygdala), during resting-state brain function. (4) Conclusions: The study contributes to understanding how motor training history shapes skeleton athletes' brains, which have distinct neural characteristics compared to the control population, indicating potential adaptations in brain function related to their specialized training and expertise in the sport.

Thermal radiation imaging technology and sensor assisted calculation of sports training technology simulation

With the development of sports training science and technology, the real-time monitoring of athletes’ physical condition and training effect is becoming more and more important. As a non-contact measurement method, thermal radiation imaging technology can capture the changes of athletes’ body surface temperature efficiently and in real time, and provide relevant information about physiological state and performance indicators. This paper discusses the application of thermal radiation imaging technology in sports training to help measure athletes’ physical state and training effect, so as to provide scientific basis for improving training efficiency and reducing sports injuries. In this paper, the high resolution thermal imaging equipment is used to systematically analyze the thermal radiation imaging of athletes, and the physiological index monitoring and data processing technology are combined to dynamically observe the temperature distribution and change characteristics of athletes under different training states. Through comparative analysis, the correlation between the data provided by thermal radiation imaging technology in the training process and the traditional physiological indicators was evaluated. The results show that thermal radiation imaging technology can effectively reflect the heat distribution and local body temperature changes of athletes during training. Compared to traditional physiological feedback data, the technology has significant advantages in quickly identifying excessive fatigue and potential injuries in athletes, especially during high-intensity training, and can provide early warning of associated risks. The application of sensor-assisted measurement system will further enhance the accuracy and effectiveness of sports scientific research and provide important support for athletes’ scientific training and health management.

Epidemiology of injuries in united states high school track and field jumping events from 2008 – 2019

ABSTRACT Objectives Reports of injury characteristics of high school track and field athletes participating in jumping events in the United States are limited. In this descriptive epidemiological study, we report injury rates and patterns in these athletes. Methods Injuries and athletic exposures (AE) from the National High School Sports Related Injury Surveillance System, and High School Reporting Information Online (RIO) from 2008-2019 were analyzed. Jumping events included high jump, long jump, triple jump, and pole vault. Injury rate ratios (IRR) and injury proportion ratios (IPR) were examined by sex. Results A total of 727 injuries related to jumping events during 5,486,279 AEs occurred with the highest frequency at the thigh (20.3%) followed by the ankle (18.2%), knee (16.1%), and lower leg (11.0%). The most common types of injuries were muscle strain (29.0%) and ligament sprain (21.2%). Most athletes returned to sport within 1 week (43.1%, n = 312) or 3 weeks (34.7%, n = 243). Few jumping-related injuries resulted in surgery (4.9%, n = 35) or medical disqualification (4.4%, n = 31). The jumping-related injury rate was 1.33 injuries/10,000 AEs from 2008 to 2019. The rate of jumping-related injuries was higher in competition than in practice (IRR = 2.63, 95% confidence interval [CI]: 2.25–3.06). Injury rates were significantly higher in practice for female athletes than for males (IRR = 1.51, 95% CI: 1.23–1.86). Compared to male athletes, female athletes sustained a higher proportion of ankle injuries (IPR = 1.63, 95% CI: 1.15–2.32) and ligament sprains (IPR = 1.55, 95% CI: 1.16–2.09). Conclusions This study describes injury characteristics of high school track and field jumping athletes from 2008 to 2019. We found an overall injury rate of 1.33 injuries per 10,000 AEs. Higher overall rates of jumping-related injuries occurred during competitions than in practice, and female athletes displayed a significantly higher rate of injuries during practices compared to male athletes.

Individual Psychological Profiles And Their Influence On Self-Regulatory Behaviour In Sport

The purpose of this paper is to study how individual psychological characteristics of an athlete affect his/her ability to effectively self-regulate during training. In the course of the study, the testing method was applied (Cognitive Strategies in Sport Scale and Psychological Stress Measurement). Methods of descriptive statistics for the analysis of the mean value and square deviation and Pearson's correlation coefficient (chi-square). The results of the study showed that there is a statistically significant difference between the mean values of all cognitive strategies. The most pronounced differences were observed between emotional control and other strategies, as well as between focusing attention and other strategies. This suggests that emotional control and attention focus are key cognitive strategies for achieving success in sport. In addition, psychological aspects and individual personality traits of athletes significantly affect their ability to self-regulate during training, which confirms the importance of taking these factors into account when developing training programmes. The study confirmed that emotional control and focus are key cognitive strategies for achieving success in sport. Individual psychological characteristics of athletes have a significant impact on their ability to effectively self-regulate during training. This highlights the importance of integrating psychological training into training programmes to improve athletes' performance. Further research should focus on developing methods to help improve these aspects.

Особливості психологічної підготовки спортсменів у передзмагальний період

The training process is a constantly developing system that needs constant improvement. The effectiveness of the training process depends on many factors, such as: the athlete's psychological preparation, the trainer's qualifications, the athlete's motivation, training conditions, and material and technical support. Psychological preparation of athletes for competitions is a component of general training. It is aimed at the formation and development of psychological qualities necessary for achieving high results in sports activities. Training of professional sportsmen is carried out on the basis of a system of principles: focus on achieving the maximum result; in-depth specialization and taking into account the individual characteristics of the athlete; unity of general and special training; continuity of the training process; the unity of the gradual and maximal increase of training loads; undulation of load dynamics; cyclical training process; unity of physical, technical, tactical, psychological and theoretical training; scientific and methodological support of the training process; control and correction of the training process. The components of the training process are proposed: physical training, technical training, tactical training, psychological training, theoretical training. The study of individual psychological characteristics of the training process, which allow to understand the psychological characteristics of athletes, is of great importance; make it possible to develop effective methods of psychological training of athletes; contribute to improving the performance of athletes. Failure to take into account individual psychological features during the training process of athletes can lead to a decrease in motivation, loss of self-confidence, increased anxiety, loss of concentration and reduced stress resistance. The psychological features of a football player’s/football player’s training activities include: the formation of the player’s confidence in his own abilities, which is formed under the influence of successful and unsuccessful match results, the direct actions of the player or the player in the match, perception and understanding of the situation (game pattern) during the match, logical thinking under the time of a football match, sudden decision-making on a situation that arose during the game, correct understanding of the task set before the player, and the ways and considerations of the solution, the attitude of the coach to the football player, the level of development of cognitive abilities (introspection, planning, goal setting). The psychological features of the training activity of the male and female players depends on the correctness and accuracy of the tasks during training (in the pre-competition period) and their implementation (application, skillful use/application of the coach's instructions/instructions) directly during the football match. The emotional state of a football player can be positively influenced by external factors - the advice of an experienced coach or sports psychologist. In the professional activity of a sports psychologist, there are methods of multi-stage training correction of the athlete's pre-start emotional states, methods of instructions that take into account the trends of modern sports, correction of emotional states by the method of sports coaching, etc. Peculiarities of psychological training of professional soccer players include: mental training, stress management, motivation to achieve sports results, communication interaction. Psychological preparation helps professional football players to optimize their level of preparation for competitions and achieve better results.