Hasil untuk "Sports"

M. Marar, Natalie M. McIlvain, S. Fields et al.

D. Wann, N. Branscombe

J. Périard, S. Racinais, M. Sawka

N. Jayanthi, C. LaBella, D. Fischer et al.

Yunxiang Lin, Lingyan Yan, Zifeng Shen

Sports-based disability assistance volunteer services play a crucial role in promoting social inclusion and harmonious development, with college students serving as the primary participant group in such initiatives. To explore the underlying mechanisms driving university students’ participation in these volunteer services, this study constructs an extended Theory of Planned Behavior model. Building upon the traditional constructs of the Theory of Planned Behavior (Behavioral Attitude, Subjective Norms, Perceptual-Behavioral Control, and Willingness to Participate), this model introduces the core variable Level of Awareness. Data analysis was conducted using structural equation modeling and mediation analysis based on questionnaires collected from 697 college students in China. The structural model demonstrated good fit. Key findings are as follows: The SEM model fit well: RMSEA = 0.06, CFI = 0.95. Level of Awareness significantly and directly influenced Willingness to Participate, while also significantly and positively predicting Behavioral Attitude, Subjective Norms, and Perceptual-Behavioral Control. Concurrently, Behavioral Attitude (β = 0.31, p < 0.001), Subjective Norms (β = 0.30, p < 0.01), and Perceptual-Behavioral Control (β = 0.25, p < 0.01) significantly predicted Willingness to Participate, partially mediating this relationship. This study confirms that Level of Awareness is a key antecedent variable for stimulating behavioral intention, providing new theoretical perspectives and practical insights for recruiting and mobilizing youth volunteers in Chinese universities or official social organizations: (1) Factors that influence the level of awareness of sports programs for people with disabilities significantly affect the intention to participate; higher levels of awareness are associated with stronger intentions to participate. (2) The level of awareness, as a core factor, positively influences behavioral attitude, subjective norms, perceptual-behavioral control, and willingness to participate, and therefore constitutes the core of the theoretical model. (3) Behavioral attitude, subjective norms, and perceptual-behavioral control each significantly influence willingness to participate; the path coefficients for behavioral attitude and subjective norms are slightly larger than the path coefficient for perceptual-behavioral control. These three variables mediate the relationship between the level of awareness and intention to participate in sports-based volunteer services for people with disabilities.

SoYoung Ahn, Michael Prock, Ji-won Seo et al.

Sport-related concussion (SRC) and its potential neurological sequela represent an emerging global health concern, requiring improved recovery management and strategies for return-to-play (RTP) to enhance brain health in athletes. Given the dynamic and multifaceted nature of SRC recovery, the purpose of this review is to synthesize existing literature on post-SRC outcomes in adult athletes, and to outline the temporal trajectories of key recovery indicators (symptoms, cognitive function, blood biomarkers) across distinct recovery phases until resolution. In the acute phase of SRC (first 48 ​h), symptom scores and brain damage markers peaked immediately, while cognitive impairments and neuroinflammation emerged with a slight delay. Following the initial rise, brain damage marker concentrations rapidly dropped below baseline levels at approximately 48 ​h following SRC injury. During the early recovery phase, neuroinflammation and most cognitive alterations resolved after 3–5 days, though symptom burden and attention deficits persisted for up to 7 days. Despite prolonged alterations reported in some individuals, recovery markers typically returned to pre-injury levels in the transition phase (≤ 2 weeks), though mild attention deficits were detected up to 3 weeks, and TNF-α concentrations remained elevated throughout late recovery (> 2 weeks). These results reveal distinct temporal discrepancies across recovery markers and emphasize that physiological disturbances can outlast symptom resolution, underscoring the need for both multimodal assessments and appropriately timed evaluations to accurately track recovery progression. Incorporating structured follow-ups at key time points, particularly beyond symptom resolution, may improve RTP decision-making and reduce the risk of premature return and long-term neurological consequences.

Sebastian Martinez, Naman Ahuja, Fenil Bardoliya et al.

We present a modular, interactive system, SPORTSQL, for natural language querying and visualization of dynamic sports data, with a focus on the English Premier League (EPL). The system translates user questions into executable SQL over a live, temporally indexed database constructed from real-time Fantasy Premier League (FPL) data. It supports both tabular and visual outputs, leveraging the symbolic reasoning capabilities of Large Language Models (LLMs) for query parsing, schema linking, and visualization selection. To evaluate system performance, we introduce the Dynamic Sport Question Answering benchmark (DSQABENCH), comprising 1,700+ queries annotated with SQL programs, gold answers, and database snapshots. Our demo highlights how non-expert users can seamlessly explore evolving sports statistics through a natural, conversational interface.

Zhuoer Yin, Calvin Yeung, Tomohiro Suzuki et al.

Recent transformer based approaches have demonstrated impressive performance in solving real-world 3D human pose estimation problems. Albeit these approaches achieve fruitful results on benchmark datasets, they tend to fall short of sports scenarios where human movements are more complicated than daily life actions, as being hindered by motion blur, occlusions, and domain shifts. Moreover, due to the fact that critical motions in a sports game often finish in moments of time (e.g., shooting), the ability to focus on momentary actions is becoming a crucial factor in sports analysis, where current methods appear to struggle with instantaneous scenarios. To overcome these limitations, we introduce KASportsFormer, a novel transformer based 3D pose estimation framework for sports that incorporates a kinematic anatomy-informed feature representation and integration module. In which the inherent kinematic motion information is extracted with the Bone Extractor (BoneExt) and Limb Fuser (LimbFus) modules and encoded in a multimodal manner. This improved the capability of comprehending sports poses in short videos. We evaluate our method through two representative sports scene datasets: SportsPose and WorldPose. Experimental results show that our proposed method achieves state-of-the-art results with MPJPE errors of 58.0mm and 34.3mm, respectively. Our code and models are available at: https://github.com/jw0r1n/KASportsFormer

Yi Xu, Yun Fu

Trajectory prediction in multi-agent sports scenarios is inherently challenging due to the structural heterogeneity across agent roles (e.g., players vs. ball) and dynamic distribution gaps across different sports domains. Existing unified frameworks often fail to capture these structured distributional shifts, resulting in suboptimal generalization across roles and domains. We propose AdaSports-Traj, an adaptive trajectory modeling framework that explicitly addresses both intra-domain and inter-domain distribution discrepancies in sports. At its core, AdaSports-Traj incorporates a Role- and Domain-Aware Adapter to conditionally adjust latent representations based on agent identity and domain context. Additionally, we introduce a Hierarchical Contrastive Learning objective, which separately supervises role-sensitive and domain-aware representations to encourage disentangled latent structures without introducing optimization conflict. Experiments on three diverse sports datasets, Basketball-U, Football-U, and Soccer-U, demonstrate the effectiveness of our adaptive design, achieving strong performance in both unified and cross-domain trajectory prediction settings.

Yang Zhu, Wen-Ming Liang, Kai Jiang et al.

Abstract Background Questionnaires that assess psychological functioning are 21 limited by their subjective nature, while HRV can serve as a more objective 22 (but also complex) index of such functioning. This study aims to validate sex 23 differences in college students' mental well-being using psychological scales 24 and HRV, and to investigate the correlation between psychological scales 25 and HRV for each sex. Method 240 college students (120 males and 120 females, aged 18-22 27 years) were recruited via cluster sampling from 1st Sept. to 1st Nov. 2023 at 28 Zhejiang University in China. Mental well-being was assessed using the 29 Warwick-Edinburgh Mental Well-being Scale (WEMWBS) and the 21-item 30 version of the Depression, Anxiety, and Stress Scale (DASS-21), while HRV 31 was measured at rest using a Polar H7 heart rate monitor. Results Comparative analyses showed that female students had higher 33 anxiety scores (DASS-21) (p = 0.033, Partial η² = 0.019) and lower mental 34 well-being scores (WEMWBS) (p = 0.047, Partial η² = 0.016) compared to 35 male students. Additionally, female students exhibited lower HRV across 36 multiple indices, including SDNN (p < 0.001, Partial η² = 0.158), RMSSD (p 37 < 0.001, Partial η² = 0.064), pNN50 (p < 0.001, Partial η² = 0.045), and 38 absolute high-frequency (HF) power (p = 0.003, Partial η² = 0.038). 39 Correlational analyses further revealed that only female students' anxiety 40 scores were negatively associated with RMSSD (r = -0.245, p = 0.008), 41 absolute HF power (r = -0.261, p = 0.005), and normalized HF power (r = - 42 0.262, p = 0.005). Conclusions Female university students exhibited poorer mental well-being 44 than male students, as indicated by both subjective and objective measures, with anxiety being particularly prominent. Combining psychological scales 46 with measures of HRV (RMSSD and HF power) may improve anxiety 47 assessment in female university students.

D. Paul, T. Gabbett, G. Nassis

Luis Nunes Vicente, Thaksheel Alleck, Tommaso Giovannelli et al.

In this paper, we examine team ball sports to investigate how the likelihood of weaker teams winning against stronger ones, referred to as underdog achievement, is influenced by inherent randomness factors that affect match outcomes in such sports. To address our research question, we collected data on match scores and computed corresponding team rankings from major international competitions for 12 popular team ball sports: basketball, cricket, field hockey, futsal, handball, ice hockey, lacrosse, roller hockey, rugby, soccer, volleyball, and water polo. Then, we developed an underdog achievement score to identify the sports with the highest occurrences of weaker teams prevailing over stronger ones, and we designed a randomness model consisting of factors that contribute to unexpected match outcomes within each sport. Our findings indicate that soccer is among the sports in which a weaker team is most likely to win. Through principal component analysis (PCA) and correlation analysis, we demonstrate that our randomness model can explain such a phenomenon, showing that the underdog achievement can be attributed to numerous factors that can randomly influence match outcomes.

Ajinkya H. Kokandakar, Yuzhou Lin, Steven Jin et al.

We study the impact of teenage sports participation on early-adulthood health using longitudinal data from the National Study of Youth and Religion. We focus on two primary outcomes measured at ages 23--28 -- self-rated health and total score on the PHQ9 Patient Depression Questionnaire -- and control for several potential confounders related to demographics and family socioeconomic status. To probe the possibility that certain types of sports participation may have larger effects on health than others, we conduct a matched observational study at each level within a hierarchy of exposures. Our hierarchy ranges from broadly defined exposures (e.g., participation in any organized after-school activity) to narrow (e.g., participation in collision sports). We deployed an ordered testing approach that exploits the hierarchical relationships between our exposure definitions to perform our analyses while maintaining a fixed family-wise error rate. Compared to teenagers who did not participate in any after-school activities, those who participated in sports had statistically significantly better self-rated and mental health outcomes in early adulthood.

Haotian Xia, Zhengbang Yang, Junbo Zou et al.

Multimodal Large Language Models (MLLMs) are advancing the ability to reason about complex sports scenarios by integrating textual and visual information. To comprehensively evaluate their capabilities, we introduce SPORTU, a benchmark designed to assess MLLMs across multi-level sports reasoning tasks. SPORTU comprises two key components: SPORTU-text, featuring 900 multiple-choice questions with human-annotated explanations for rule comprehension and strategy understanding. This component focuses on testing models' ability to reason about sports solely through question-answering (QA), without requiring visual inputs; SPORTU-video, consisting of 1,701 slow-motion video clips across 7 different sports and 12,048 QA pairs, designed to assess multi-level reasoning, from simple sports recognition to complex tasks like foul detection and rule application. We evaluate four prevalent LLMs mainly utilizing few-shot learning paradigms supplemented by chain-of-thought (CoT) prompting on the SPORTU-text part. We evaluate four LLMs using few-shot learning and chain-of-thought (CoT) prompting on SPORTU-text. GPT-4o achieves the highest accuracy of 71%, but still falls short of human-level performance, highlighting room for improvement in rule comprehension and reasoning. The evaluation for the SPORTU-video part includes 7 proprietary and 6 open-source MLLMs. Experiments show that models fall short on hard tasks that require deep reasoning and rule-based understanding. Claude-3.5-Sonnet performs the best with only 52.6% accuracy on the hard task, showing large room for improvement. We hope that SPORTU will serve as a critical step toward evaluating models' capabilities in sports understanding and reasoning.

Swarup Ranjan Behera, Vijaya V Saradhi

Sports visualization focuses on the use of structured data, such as box-score data and tracking data. Unstructured data sources pertaining to sports are available in various places such as blogs, social media posts, and online news articles. Sports visualization methods either not fully exploited the information present in these sources or the proposed visualizations through the use of these sources did not augment to the body of sports visualization methods. We propose the use of unstructured data, namely cricket short text commentary for visualization. The short text commentary data is used for constructing individual player's strength rules and weakness rules. A computationally feasible definition for player's strength rule and weakness rule is proposed. A visualization method for the constructed rules is presented. In addition, players having similar strength rules or weakness rules is computed and visualized. We demonstrate the usefulness of short text commentary in visualization by analyzing the strengths and weaknesses of cricket players using more than one million text commentaries. We validate the constructed rules through two validation methods. The collected data, source code, and obtained results on more than 500 players are made publicly available.

Waseem Hassan, Asif Naveed

Background: An increased incidence of vertebral artery dissection has recently become a recognized cause of acute stroke for about 1/5 of strokes in young patients. Case Presentation: A male in his 30s presented to the emergency department with sudden onset of severe vertigo, vomiting, and dizziness while he was playing bowling. The symptoms started when he suddenly twisted his neck while throwing the ball towards pins. Initial diagnosis of central vertigo led to performing plain CT head and CT head angiogram, which demonstrated non-occlusive extradural left vertebral artery dissection. Following CT scans, an MRI head, and MRA head and neck were performed which confirmed the CT diagnosis and also showed left posterior inferior cerebellar artery territory infarcts with micro haemorrhages. The patient was started on dual antiplatelet medications which was continued for 6 months with a follow up MRI/MRA scan of head and neck. Conclusion: This appears to be a unique case where sudden twisting of the neck possibly resulted in vertebral artery dissection and cerebellar infarction. Hence, it is vital to be aware of sports related presentation resulting in sudden neck movements and tear in vertebral artery causing dissection. [SJEMed 2024; 5(2.000): 153-155]

Grace JL, Hancock ME, Malone ML et al.

John L Grace, Meghan E Hancock, Madison L Malone, Bahman Adlou, Jerad J Kosek, Hannah R Houde, Christopher M Wilburn, Wendi H Weimar School of Kinesiology, Auburn University, Auburn, AL, USACorrespondence: John L Grace, School of Kinesiology, Auburn University, 301 Wire Road, Auburn, AL, 36849, USA, Tel +1 (334) 844-1468, Fax +1 (334) 844-1469, Email jlg0068@auburn.eduIntroduction: The National Football League (NFL) combine tests the athleticism of prospects competing for the draft. The vertical jump is included to test lower extremity power, yet the components which lead to the greatest performance remain elusive. Therefore, this study aimed to utilize a sample of elite athletes to analyze vertical jump components associated with increased performance and the relationship between vertical jump performance and rookie-year success.Methods: Videos of 50 NFL prospects performing the vertical jump task were analyzed for various countermovement jump components. Regression analyses examined the components in relation to normalized jump height and rookie Approximate Value (AV) using an alpha level of 0.05.Results: After analysis, only the overall model for normalized jump height was statistically significant (R^2^ = 0.69, p = 0.002).Discussion: While no single variable predicted jump height, distinct strategies were evident between the top and bottom 25% performers based on component correlations. The regression model approached significance in predicting rookie AV (R^2^ = 0.94, p = 0.052), with notable components like heel pauses for skilled positions and greater knee flexion for linemen. By creating models that can predict jump height or AV, variables can be identified that can be used to improve one’s jump height or, in the case of AV, that can be used to predict which draft prospects will perform better in the NFL.Keywords: athletes, technique, biomechanics, sport, video analysis

Ester Gil-Beltrán, Cristian Coo, Isabella Meneghel et al.

IntroductionThis work is a dual study employing a cross-sectional approach and a diary method to investigate how physical exercise can become a habit. Guided by the Upward Spiral Theory of Lifestyle Change, we examined the role of prioritizing positivity and engaging in physical exercise with others as advantageous resources and their impact on the relational loop of physical exercise behavior, emotions, and engagement.MethodsThe first study involved a sample of 553 participants, and the second study included 146 participants, all of whom were employed and regularly engaged in physical exercise. We utilized structural equation modeling and multilevel analysis for the respective studies.ResultsThe results of the first study indicate that individuals exercise more when they experience higher levels of engagement and positive emotions, particularly when exercising with others and prioritizing positivity. The findings of the second study reveal that prioritizing positivity acts as a precursor to positive emotions during physical exercise, which in turn reinforces the relational loop between emotions and exercise behavior.DiscussionBoth studies conclude that individuals who prioritize positivity experience better psychological wellbeing and higher engagement in physical exercise.

L. Appelbaum, G. Erickson