Player Position Research Articles

Psychological Impact and Posttraumatic Stress Disorder Symptomatology After Ulnar Collateral Ligament Injuries in Baseball Players.

Significant psychological impact and prevalence of posttraumatic stress disorder (PTSD) have been well documented in patients sustaining anterior cruciate ligament injury. To examine PTSD symptomatology in baseball players after sustaining elbow ulnar collateral ligament (UCL) injury. Cross-sectional study; Level of evidence, 3. Male baseball players of various competition levels (high school through Minor League Baseball [MiLB]) who underwent surgery for a UCL injury between April 2019 and June 2022 participated in the study. Before surgery, patients completed the Impact of Event Scale-Revised (IES-R) to assess PTSD symptomatology. Subgroup analysis was conducted according to level of play and player position. A total of 104 male baseball players with a mean age of 19.4 years (range, 15-29 years) were included in the study; 32 players (30.8%) were in high school, 65 (62.5%) were in college, and 7 (6.7%) were in MiLB. There were 64 (61.5%) pitchers, 18 (17.3%) position players, and 22 (21.2%) 2-way players (both pitching and playing on the field). A total of 30 (28.8%) patients scored high enough on the IES-R to support PTSD as a probable diagnosis, and another 22 patients (21.2%) scored high enough to support PTSD as a clinical concern. Nineteen patients (18.3%) had potentially severe PTSD. Only 4 players (3.8%) were completely asymptomatic. Subgroup analysis revealed college players as significantly more symptomatic than high school players (P = .02), and 2-way players were found to be significantly less susceptible to developing symptoms of PTSD compared with pitchers (P = .04). Nearly 30% of baseball players who sustained a UCL injury qualified for a probable diagnosis of PTSD based on the IES-R. Pitchers and college athletes were at increased risk for PTSD after UCL injury compared with 2-way players and high school athletes, respectively.

Are Polish doctors ready to start working right after graduation? The 2023 modification to physicians’ postgraduate internship and possible paths forward

The Polish healthcare system faces many problems, among which the shortage of healthcare professionals is one of the most urgent. In less than ten years, more than twenty Higher Education Institutions (HEIs) have been allowed to add medical programmes to their offer, aiming to increase the number of doctors in Poland. Recently, the healthcare system was faced with a proposal to abolish the mandatory postgraduate internship which has been a mandatory component of medical training for years.Two main reforms were considered. The first one focused on the programme of the internship and aimed to update it. The second one recommended an abolition of the internship. The authors of this article analysed the opinions and positions of key players within the system regarding the postgraduate internship.Opinions in this regard are diverse, leading to the conclusion that additional actions would be required prior to the internship abolition. Undergraduate training has changed and currently students are taught in modern facilities, using new teaching methods. On the other hand, internship allows trainees to improve or even acquire skills they may not have obtained during their studies. The postgraduate internship is an essential part of doctors’ training. However, in Poland, there is still a lack of a well-thought, long-term policy or strategy for physicians' workforce development. Our study presents a Polish perspective on common challenges in medical training and workforce policy, highlighting the clash over the growing demand for physicians and the limitations of the existing system.

Tactical Optimization of Soccer Game Based on Motion Trajectory Analysis Algorithm

Tactical optimization of soccer games using motion trajectory analysis algorithms involves the utilization of advanced computational techniques to analyze player movements and optimize team strategies. By applying motion trajectory analysis algorithms to tracking data obtained from sensors or video feeds, coaches and analysts can gain insights into player positioning, ball movement patterns, and team interactions during matches. This analysis helps identify tactical strengths and weaknesses, assess opponent strategies, and inform adjustments to game plans in real-time or during post-match analysis. By leveraging these algorithms, teams can refine their tactics, improve performance, and gain a competitive edge on the field. This paper introduces the Motion Trajectory Trigonometric Multi-Objective (MTTM-O) framework as a comprehensive approach to optimizing tactical decisions and predicting match outcomes in soccer. With trigonometric functions to model player trajectories and multi-objective optimization techniques, MTTM-O offers insights into the impact of tactical formations, expected goals, ball possession, and defensive solidity on match results. Through scenario analysis and multi-objective optimization, we demonstrate the effectiveness of MTTM-O in enhancing strategic decision-making and performance analysis in soccer. Findings underscore the importance of tactical flexibility, adaptation to opponent strategies, and the balance between offensive and defensive aspects of gameplay for success on the field. Through multi-objective optimization, MTTM-O evaluates various tactical formations and their impact on match results. For instance, in scenario analysis, employing a 3-5-2 formation resulted in an expected goal (xG) of 2.2 and a ball possession percentage of 62%, leading to a decisive win. Conversely, a 4-4-2 formation yielded lower xG (0.8) and ball possession (47%), resulting in a draw. These findings highlight the importance of tactical flexibility and adaptation to opponent strategies for success on the field.

Analyzing Players' Tactical Positions and Movement Trajectories in Soccer Matches Using Machine Vision Algorithms

Tactical positions and movement trajectories in soccer matches using machine vision algorithms involves leveraging computer vision techniques to track players and the ball throughout the game. By processing video feeds from multiple cameras, machine vision algorithms can identify players, recognize their positions on the field, and map out their movement trajectories over time. This analysis provides valuable insights into team formations, player positioning, and tactical strategies employed during matches. Coaches and analysts can use this information to assess team performance, identify patterns in gameplay, and make data-driven decisions to optimize tactics and training regimes. Machine vision algorithms enhance the understanding of soccer dynamics, facilitating more strategic and effective approaches to coaching and gameplay.. This paper presents a comprehensive analysis of player movement, tactical positions, and detection in soccer matches using machine learning algorithms. Leveraging a simulation environment built upon a Recurrent Neural Network (RNN) model trained on historical match data, we investigate the efficacy of the model in accurately predicting future player positions based on contextual features such as player trajectories and ball movement. Furthermore, we explore the model's ability to estimate tactical movements during specific time intervals, providing valuable insights for coaches and analysts in understanding team strategies and adapting to match dynamics. Additionally, we evaluate player detection systems to assess their capabilities and limitations, laying the groundwork for future improvements in player tracking technologies. Our findings underscore the potential of machine learning in soccer analytics, offering actionable insights for enhancing performance analysis, strategic decision-making, and overall understanding of the game. Our results show a high prediction accuracy, with an average Mean Squared Error (MSE) of 0.05. Furthermore, we explore the model's ability to estimate tactical movements during specific time intervals, achieving an overall prediction accuracy of 85%. Additionally, we evaluate player detection systems to assess their capabilities and limitations, achieving a detection accuracy of 90%.

Variation in Match Physical Performance in Turkish Super League Soccer Players by Position Across Four Seasons

This study examined variations in match physical performances of Turkish Super League soccer players over four consecutive seasons, considering playing position. Data were derived from 1224 different match indices for 17997 observations of 25 different teams. These data were collected over the four seasons from 2015–16 to 2018–19 utilizing a multi-camera computerized tracking system. Playing positions were categorized as follows: central defender (CD), external defender (ED), central midfielder (CM), external midfielder (EM), and forward (FWR). The data analysed covered total distance, as well as distances covered in the following conditions: high-speed running (HSR, 20-23.9 km.h-1), sprinting (> 24 km.h-1), high metabolic power (HMP; from 20 to 35 W·kg1), elevated metabolic power (EMP; from 35 to 55 W·kg-1), and maximal metabolic power (MMP; > 55 W·kg-1). Players in the CM position were found to cover a significantly greater total distance, as well as significantly greater HMP and EMP distances than all other positions. In contrast, those in EM and ED positions engaged in significantly greater high-speed running and sprint distance than all other positions (p<0.05). Decreases were found in the distances covered in the different running speed zones and metabolic power zones for all positions over the seasons from 2015–16 to 2018–19. These findings show that the positional roles of the players entail different physical demands. Therefore, it is recommended that coaches consider the physical demands of the positions and seasonal variation when creating training programs for players.

Estimating positional plus-minus in the NBA

Abstract Plus-minus is a widely used performance metric in sports. Players with high plus-minus ratings are often considered more efficient than others. While numerous plus-minus models have emerged since the introduction of adjusted plus-minus in 2004, most of these metrics focus on evaluating player performance at the individual level. In the present study, we follow the plus-minus framework and adopt a hierarchical Bayesian linear model to estimate plus-minus at the position level in the NBA from 2015–16 to 2021–22. Results show that players with versatile offensive skills and big players who defend the paint area are the most valuable offensive and defensive contributors respectively. We also find that the gaps in offensive plus-minus between offensive position groups have decreased over time. Overall, our analysis offers valuable information regarding average positional values in the NBA, allowing more objective player comparisons within position groups. We also show improved prediction accuracy in player plus-minus when factoring in player positions.

Sports Analytics: Data Mining to Uncover NBA Player Position, Age, and Injury Impact on Performance and Economics

In the intersecting fields of data mining (DM) and sports analytics, the impact of socioeconomic, demographic, and injury-related factors on sports performance and economics has been extensively explored. A novel methodology is proposed and evaluated in this study, aiming to identify essential attributes and metrics that influence the salaries and performance of NBA players. Feature selection techniques are utilized for estimating the financial impacts of injuries, while clustering algorithms are applied to analyse the relationship between player age, position, and advanced performance metrics. Through the application of PCA-driven pattern recognition and exploratory-based categorization, a detailed examination of the effects on earnings and performance is conducted. Findings indicate that peak performance is typically achieved between the ages of 27 and 29, whereas the highest salaries are received between the ages of 29 and 34. Additionally, musculoskeletal injuries are identified as the source of half of the financial costs related to health problems in the NBA. The association between demographics and financial analytics, particularly focusing on the position and age of NBA players, is also investigated, offering new insights into the economic implications of player attributes and health.

Spatial roles in hockey special teams

Abstract Special teams (i.e. power play and penalty kill) situations play an outsized role in determining the outcome of ice hockey games. Yet, quantitative methods for characterizing special teams tactics are limited. This work focuses on team structure and player deployment during in-zone special teams possessions. Leveraging player and puck tracking data from the National Hockey League (NHL), a framework is developed for describing player positioning during 5-on-4 power play and 4-on-5 penalty kill possessions. More specifically, player roles are defined directly from the player tracking data using non-negative matrix factorization, and every player is allocated a unique role at every frame of tracking data by solving a linear assignment problem. Team formations naturally arise through the combination of roles occupied in a frame. Roles that vary on a per-frame basis allow for a fine-grained analysis of team structure. This property of the roles-based representation is used to group together similar power play possessions using latent Dirichlet allocation, a topic modelling technique. The concept of assignments, which remain constant over an entire possession, is also introduced. Assignments provide a more stable measure of player positioning, which may be preferable when assessing deployment over longer periods of time.

Physical attributes and performance differences: Server vs. spiker players in men’s doubles sepak takraw

Background Problems: Scientific research exploring the comparative analysis of the physical, physiological, and anthropometric characteristics associated with the server and spiker positions in double-category sepak takraw remains relatively scarce. Research Objectives: This study aims to compare the physical, physiological, and anthropometric characteristics between players in the server and spiker positions in the double category of sepak takraw. Methods: The research method used is an observational study with a quantitative approach. This study consisted of 18 male sepak takraw athletes, with 9 athletes each playing as servers and 9 athletes playing as spikers. The statistical analyses were conducted utilizing the SPSS Version 22 application. Findings and Results: The results of this study showed that there were statistically significant differences in body height, aerobic capacity, and leg strength between server and speaker positions (p < 0.05). Meanwhile, there were no significant differences in the variables age, weight, BMI, fat percentage, speed, agility, and flexibility. Dynamic, attractive game requirements and manoeuvres in the air for players in the spiker position have the potential to contribute to superior VO2max values and increased leg muscle strength compared to players in the server position. Conclusion: The conclusion of this study is that athletes in the spiker position show superior anthropometric and physiological attributes compared to those in the server position. Different understandings of the different characteristics associated with each position in the sport of sepak takraw provide new insights and views for coaches and athletes themselves. In addition, it is hoped that this research will have implications for optimizing training programs that adapt to the demands of each position. Furthermore, these findings serve as a reference for talent search events that assist in the identification and development of athletes with optimal physiological profiles for their respective roles in double-category sepak takraw.

Stiffness Changes in Shoulder Muscles between Pitchers and Position Players after Throwing Overhead Using Shear Wave Elastography and Throwing Motion Analysis.

Objectives: The objective is to compare stiffness changes around the shoulder muscles between pitchers and position players after throwing overhead using shear wave elastography (SWE) in relation to throwing motion analysis and muscle strength. Methods: A total of 32 male college baseball players (12 pitchers and 20 position players) were observed throwing 20 times, and SWE was performed to evaluate 13 shoulder muscle items-tendons (supraspinatus, infraspinatus, subscapularis, and teres minor), muscles (supraspinatus, infraspinatus [transverse and oblique part], teres minor, lower trapezius, latissimus dorsi, and pectoralis minor), and capsules (posterior and posteroinferior). Motion analysis was used to assess elbow torque, forearm angle, forearm rotation speed, and maximum external rotation angle of the shoulder. Muscle strength was measured using a dynamometer for abduction, internal/external rotation of the shoulder at an abduction of 0°, internal/external rotation of the shoulder at an abduction of 90°, and internal/external rotation of shoulder at a flexion of 90°. Results: In the pitcher group, SWE values for the teres minor muscle and latissimus dorsi muscle increased significantly after throwing. In the position player group, SWE values for the teres minor muscle significantly increased, and SWE values of the pectoralis minor muscle decreased after throwing. In the pitcher group, positive correlations were found between the teres minor muscle and forearm rotation speed and between the latissimus dorsi muscle and forearm angle. No significant difference was found in muscle strength after throwing in any of the groups. Conclusions: Stiffness changes occurred after throwing and were related to the motion analysis, but the regions in which stiffness occurred varied between pitchers and position players.

Beyond the Jump: A Scoping Review of External Training Load Metrics in Volleyball.

Volleyball is a complex sport involving multifaceted movements and high-velocity actions, leading to diverse external training loads (ETLs) that have profound implications for player performance and injury risk. To provide a comprehensive overview of the measurement of ETL in volleyball, identify gaps in current understanding, and offer valuable insights for stakeholders in the field. The literature search was conducted across the following electronic databases: PubMed/Medline, Scopus, Web of Science, and SPORTDiscus. Studies were selected based on their relevance to the measurement of ETL in volleyball. A scoping review methodology was chosen to map and summarize the broad body of literature related to ETL measurement in volleyball. Level 4. Data related to ETL measurements in volleyball were extracted and analyzed from the selected studies, focusing on metrics utilized, player positions examined, and technologies employed. A total of 18 studies related to ETL in volleyball were identified and examined for this review. Despite the importance of sagittal plane movements in volleyball, the review identified a substantial research gap regarding ETL measurements beyond this plane, as well as a lack of focus on the unique demands of different player positions like the liberos. The use of technologies such as inertial measurement units was prevalent, but more comprehensive measurement methods are needed. There is a critical need for diversified ETL metrics in volleyball, extending beyond the conventional sagittal plane measurements. The findings highlight a substantial research gap in addressing the unique demands of different player positions, notably the liberos. This study underscores the importance of incorporating multiplanar movement data, player-specific roles, and advanced measurement technologies to develop more tailored training programs and injury prevention strategies.

Competitive profile analysis according to playing positions of female handball players during the European Championship 2020

ABSTRACT Handball is one of the most popular team sports and requires the correct analysis of players’ physical condition for its development, especially in women´s handball. Therefore, the aim of this study was to analyse for the first time the competitive demands of professional handball players during the EHF Championship 2020, using the innovative Local Positioning System (LPS) technology. In order to achieve this goal, 231 female players from 16 national teams were analysed during 47 matches using LPS and a specific handball analytic system developed for this purpose. Players covered more distance in the offensive phase (1205.6 ± 636.7 m) and in all locomotion categories, with the exception of high intensity running, than in the defensive phase (834.2 ± 471.5 m), with a similar average total time on court. The running pace was significantly higher in attack (56.0 ± 26.2 m/min) than in defence (39.2 ± 19.8 m/min). Regarding playing positions, wing players covered higher distances in the high intensity categories than the rest of the playing positions. It could be concluded that the training workload of elite handball players should be programmed according to specific positions.

Model characteristics of technical and tactical activity of basketball players at the stage of preparation for higher achievements

The article examines the features of the competitive activity of basketball players who are at the stage of preparation for higher achievements. Presented are model characteristics of implementation of technical and tactical actions by basketball players aged 18-20, taking into account their role in the game. The need to take playing time into account when building model characteristics of technical and tactical actions is well-founded. The players of the youth national teams (U 20) show a tendency to increase the quality of the implementation of various shots in the match (two-point, three-point, free throw) in comparison with the players of the youth national teams (U 18). Significant differences (p<0.05) in terms of these indicators were observed in basketball players playing the central player position (49,91±17,06 vs. 55,06±12,47).
 According to such technical and tactical actions as block shots and steals of the ball, the basketball players of the youth national teams (U 18) were reliably ahead of the players of the youth national teams (U 20) (0,18±0,30 vs. 0,10±0.21, 2,19±1, 24 vs. 1,87±1,07, respectively). Considered possible directions of using the developed models during the training of basketball players of youth teams and prospective methodical provisions for creating reference models of technical and tactical activity for the best basketball players within the framework of a specific game role.

An innovative method for accurate NBA player performance forecasting and line-up optimization in daily fantasy sports

AbstractThis study presents a novel approach for predicting NBA players' performance in Fantasy Points (FP) by developing individualized models for 203 players, using advanced basketball metrics from season 2011–2012 up to season 2020–2021 from reliable sources. A two-step evaluation and validation process secured validity, while applying linear optimization methodology, considering constraints such as salary and player position to recommend an eight-player line-up for Daily Fantasy Sports (DFS). Four scenarios with 14 machine learning models and meta-models with a blending approach with an ensembling methodology were evaluated. Using individual per-player modeling, standard and advanced features, and different timespans resulted in accurate, well-established, and well-generalized predictions. Standard features improved MAPE results by 1.7–1.9% in the evaluation and 0.2–2.1% in the validation set. Additionally, two model selection cases were developed, with average scoring MAPEs of 28.90% and 29.50% and MAEs of 7.33 and 7.74 for validation sets. The most effective models included Voting Meta-Model, Random Forest, Bayesian Ridge, AdaBoost, and Elastic Net. The research demonstrated practical application using predictions in a real-life DFS case evaluated in a DFS tournament on a specific match day. Among 11,764 real users, our Daily Line-up Optimizer ranked in the top 18.4%, and profitable line-ups reached the top 23.5%. This unique approach proves the proposed methodology's effectiveness and emphasizes its profitability, as the optimizer process delivers positive results.

TacticAI: an AI assistant for football tactics

Identifying key patterns of tactics implemented by rival teams, and developing effective responses, lies at the heart of modern football. However, doing so algorithmically remains an open research challenge. To address this unmet need, we propose TacticAI, an AI football tactics assistant developed and evaluated in close collaboration with domain experts from Liverpool FC. We focus on analysing corner kicks, as they offer coaches the most direct opportunities for interventions and improvements. TacticAI incorporates both a predictive and a generative component, allowing the coaches to effectively sample and explore alternative player setups for each corner kick routine and to select those with the highest predicted likelihood of success. We validate TacticAI on a number of relevant benchmark tasks: predicting receivers and shot attempts and recommending player position adjustments. The utility of TacticAI is validated by a qualitative study conducted with football domain experts at Liverpool FC. We show that TacticAI’s model suggestions are not only indistinguishable from real tactics, but also favoured over existing tactics 90% of the time, and that TacticAI offers an effective corner kick retrieval system. TacticAI achieves these results despite the limited availability of gold-standard data, achieving data efficiency through geometric deep learning.

The privilege of ‘aggrieved entitlement’: exploring the social bases of antifeminist political players mobilising online

Antifeminist groups have made extensive use of online platforms to mobilise and spread their political ideas. Existing studies of online antifeminism tend to focus their analyses primarily on how masculinities are constructed through antifeminist discourses. This article takes a different approach by exploring how the social position of antifeminist political players is related to their effective use of online platforms. Through an empirical study of an influential antifeminist blogosphere that emerged in Sweden in the mid-2000s, it is shown how the mostly anonymous antifeminist bloggers are, in fact, well-resourced activists who, due to their educational resources and communicative skills, could effectively use political blogs to promote their cause. Consequently, despite their claims of being marginalised and victimised, these predominantly male antifeminist activists actually occupy a privileged position in relation to historically marginalised groups, a position that affords them new possibilities to attack feminist achievements and actors through online platforms.

The Ratio between Weekly Training and Match External Physical Loads in U17 Elite Youth Soccer Players: Implications for the Training Process.

Research on the external physical load on elite youth soccer players during the weekly training microcycle in competitive periods and official matches is limited. The aims of this study were twofold: a) investigate possible differences in external physical load (PL) across player positions in U17 elite youth soccer players during official matches; b) determine the weekly training to match physical load ratio (WTMLr) across player positions. The sample included 20 outfield players from an elite soccer academy (mean age 15.94 ± 0.25 years) playing in four positions: central defender (CD), full-back (FB), central midfielder (CM) and Striker (S). Data were collected during the spring in-season period for 17 official matches played in a 4-3-3 game format. Indicators of external physical load monitored were: total distance (TD); total distance in high-speed running (HSR; > 16.1 km.h-1); total distance in sprint running (SPR; > 21.6 km.h-1); and relative physical load intensity (%HSR). The WTMLr was calculated for TD, HSR, SPR and %HSR as the ratio of the average weekly sum of training PL to the average sum of PL in an official match for a given players' position. Collectively, the training intensity during a one-week microcycle (%HSR in WTMLr) achieved only 76 % of match demands. CD performed significantly lower in all measured indicators of external PL during the official match than all other positions (p < 0.05; g > 0.80) except for TD in S. S achieved significantly higher SPR during official matches compared to CD (p < 0.05; g > 0.80), CM, and FB (g > 0.80). In contrast, CD reported higher WTMLr (medium-large effect size) in HSR and SPR indicators than all other positions. CM performed significantly higher %HSR in WTMLr than S and FB (p < 0.05; g > 0.80). Results revealed insufficient training intensity relative to match demands and, at the same time, weekly training PL did not meet match demands (especially in HSR and SPR) for players across the different positions. Therefore, practitioners should select appropriate training methods (drills and games) to ensure sufficient training intensity (HSR and SR metrics) and consider using the WTMLr, which can be used to help optimise and individualise training PL for different player positions.

Video Analysis of Anterior Cruciate Ligament Injuries in Male Professional Basketball Players: Injury Mechanisms, Situational Patterns, and Biomechanics

Background: Improving our understanding of the situations and biomechanics that result in an anterior cruciate ligament (ACL) injury in basketball players may support the design of more effective programs to mitigate the risk of injury. Purpose: To (1) describe the mechanisms, situational patterns, and gross biomechanics (kinematics) of ACL injuries in professional basketball matches using video analysis and (2) document the distribution of ACL injuries according to player position, phase of the match, and location on the court. Study Design: Case series; Level of evidence, 4. Methods: A total of 38 ACL injuries in professional male European basketball leagues from the 2013-2014 to 2019-2020 seasons were identified. There were 36 (95%) injury videos analyzed for injury mechanisms and situational patterns, while biomechanical analysis was possible in 32 cases. Overall, 3 independent reviewers evaluated each video. Data according to player position (n = 38), phase of the match (n = 38), and location on the court (n = 36) were evaluated. Results: More injuries occurred while attacking (n = 25 [69%]) than defending (n = 11 [31%]). There was 1 (3%) direct contact injury, 21 (58%) indirect contact injuries, and 14 (39%) noncontact injuries. Most injuries (83%) occurred during 3 main situations: offensive cut (n = 17 [47%]), landing from a jump (n = 8 [22%]), and defensive cut (n = 5 [14%]). Injuries generally involved knee flexion (with minimal hip/trunk flexion and reduced plantarflexion) in the sagittal plane and knee valgus loading in most cases (75%). A similar number of injuries occurred during the first (53%) and second (47%) halves of the match, with a higher prevalence in the second (37%) and fourth (34%) quarters. Half of the injuries occurred during the first 10 minutes of effective playing time. More injuries occurred in guards (58%), and 73% of all injuries occurred in the scoring zone. Conclusion: Indirect contact was the main injury mechanism found in male professional basketball players. The offensive cut was the most common situational pattern. Biomechanical analysis confirmed a multiplanar mechanism, with knee loading in the sagittal plane accompanied by dynamic valgus. More injuries occurred in the first 10 minutes of a player's effective playing time, within the scoring zone, and among guards.

Mental Health in Elite Athletes: A Systematic Review of Suicidal Behaviour as Compared to the General Population.

Previous systematic reviews on mental health in athletes have found athletes to be at a potentially increased risk for mental health diagnoses compared to the public. Multiple cross-sectional studies have examined suicide behaviour within different athlete populations, but there is a need for a comprehensive review to synthesize and identify risk factors and epidemiology regarding suicide behaviour in the elite athlete population, especially as it compares to the general population. A systematic literature search was performed in MEDLINE, EMBASE, Scopus, and Web of Science from 1990 to January 2023. Inclusion criteria included original peer-reviewed research articles examining suicidal ideation, suicide attempt, or suicide completion within elite athlete populations. Exclusion criteria included athletes participating in high-school or Paralympic level sports, studies that did not report results regarding elite athletes and non-athletes separately, and non-peer reviewed work. All studies were screened for inclusion by two independent reviewers. The primary outcome variables extracted from included studies included rates, risk factors, and protective factors for suicide behaviour. The study quality and risk of bias was evaluated for each study using the Joanna-Briggs Institute (JBI) critical appraisal tools. Of the 875 unique studies identified, 22 studies, all of which were cross-sectional in nature, met the inclusion criteria. Seven studies evaluated previous athletes, 13 studies evaluated current athletes, and two studies included a combination of previous and current athletes. Seven studies involved varsity college athletes, nine involved professional athletes of various sports, and six focused on international or Olympic level athletes. The rate of suicidal ideation in professional athletes ranged from 6.9 to 18% across four studies, while the rate in collegiate athletes ranged from 3.7 to 6.5% across three studies. Ten studies compared athletes to the general population, the majority of which found athletes to be at reduced risk of suicidal ideation, suicide attempt, and suicide completion. Only one study found athletes to have increased rates of suicide compared to matched non-athletes. Risk factors for suicide behaviour identified across multiple studies included male sex, non-white race, older age, and depression. Player position, athletic level, sport played, and injuries showed trends of having limited effect on suicide behaviour risk. This review suggests that elite athletes generally demonstrate reduced risk of suicidal ideation, suicide attempt, and suicide completion compared to the general population. Coaches should remain aware of specific factors, such as male sex, non-white race, and higher athletic level, in order to better identify at-risk athletes. Limitations of this review include the heterogeneity in the methodology and athlete populations across the included studies. Therefore, future targeted research is essential to compare suicide behaviour between sports and identify sport-specific suicide risk factors. PROSPERO Registration: CRD42023395990.

Exploration of collective tactical variables in elite netball: An analysis of team and sub-group positioning behaviours.

Collective tactical behaviours are aspects of player interactions that are particularly important in netball, due to its unique restrictions on player movement (players unable to move when in possession of the ball and positional spatial restrictions). The aim of this study was to explore variables representing collective tactical behaviours in netball. A local positioning system provided player positions of one team throughout seven elite-level netball matches. The positions were analysed to provide mean, variability (standard deviation) and irregularity (normalised approximate entropy) for each attack and defence possession (470 and 423, respectively) for the team and positional subgroups (forwards, midcourts and defenders) for 10 position-related variables. Correlational analyses showed collective tactical variables could be grouped as lateral and longitudinal dispersion variables. The variables were each analysed after log transformation with a linear mixed model to compare attack and defence and to estimate standardised effects on attack and defence of possession outcome, possession duration, score difference, match time, opposition strength and season time. During attack, the team and all sub-groups adopted greater lateral dispersion between players, while on defence there was generally greater longitudinal dispersion. The team also showed increased longitudinal dispersion when home and opposition possessions ended in a score. Additionally, greater irregularity was observed in active sub-groups (forwards on attack, defenders on defence). Score difference and opposition strength had trivial-small but generally unclear effects. In conclusion, these effects show that analysis of player positions on attack and defence is a promising avenue for coaches and analysts to modify collective tactical behaviours in netball.