Sport Psychology: Principles and Practices for Sports Medicine Physicians.

ABSTRACT: Sport psychology is the scientific study and application of psychological principles to enhance performance and well-being in sport, exercise, and physical activity. It has numerous applications to sports medicine, as psychological factors are associated with sport injury risk, recovery, successful return to play, and overall health. This article addresses how sport psychology is important to sports medicine and what applied sport psychologists do. We discuss several psychological principles and practices relevant to individual performance and well-being, including goal setting, communication, arousal and performance, imagery/mental rehearsal, attention management, managing psychological distress, and behavioral health. We also discuss principles and practices of sport psychology relevant to team performance, including stages of team development, goal setting, communication, arousal and performance, and behavioral health. Sport psychology and applied sport psychology practitioners can be valued assets to sports medicine teams in supporting individual and team performance and injury recovery.

Design of health information management model for elderly care using an advanced higher-order hybrid clustering algorithm from the perspective of sports and medicine integration.

In the context of integrating sports and medicine domains, the urgent resolution of elderly health supervision requires effective data clustering algorithms. This paper introduces a novel higher-order hybrid clustering algorithm that combines density values and the particle swarm optimization (PSO) algorithm. Initially, the traditional PSO algorithm is enhanced by integrating the Global Evolution Dynamic Model (GEDM) into the Distribution Estimation Algorithm (EDA), constructing a weighted covariance matrix-based GEDM. This adapted PSO algorithm dynamically selects between the Global Evolution Dynamic Model and the standard PSO algorithm to update population information, significantly enhancing convergence speed while mitigating the risk of local optima entrapment. Subsequently, the higher-order hybrid clustering algorithm is formulated based on the density value and the refined PSO algorithm. The PSO clustering algorithm is adopted in the initial clustering phase, culminating in class clusters after a finite number of iterations. These clusters then undergo the application of the density peak search algorithm to identify candidate centroids. The final centroids are determined through a fusion of the initial class clusters and the identified candidate centroids. Results showcase remarkable improvements: achieving 99.13%, 82.22%, and 99.22% for F-measure, recall, and precision on dataset S1, and 75.22%, 64.0%, and 64.4% on dataset CMC. Notably, the proposed algorithm yields a 75.22%, 64.4%, and 64.6% rate on dataset S, significantly surpassing the comparative schemes' performance. Moreover, employing the text vector representation of the LDA topic vector model underscores the efficacy of the higher-order hybrid clustering algorithm in efficiently clustering text information. This innovative approach facilitates swift and accurate clustering of elderly health data from the perspective of sports and medicine integration. It enables the identification of patterns and regularities within the data, facilitating the formulation of personalized health management strategies and addressing latent health concerns among the elderly population.

[The development and future of sports medicine in China].

This article mainly introduces the development history and current situation of sports medicine in China, and deeply analyzes the problems that have emerged during the current development process, and proposes corresponding solutions. Based on this, the article proposes five key directions for the development of sports medicine, which are: developing arthroscopic minimally invasive techniques, ensuring the guarantee work for competitive sports, attaching great importance to the development of sports rehabilitation, vigorously carrying out exercise prescription and exercise assessment work, and emphasizing the training and education of sports medicine professionals. Finally, the article looks forward to the future development of sports medicine from three aspects: popularizing and expanding the influence of sports medicine through popular science promotion, improving the quality and safety of sports through health management and disease prevention, and achieving precise diagnosis and treatment through scientific research and innovation. It is hoped that this article will provide reference for the development of sports medicine in China.

National Athletic Trainers' Association Bridge Statement: Management of Sport-Related Concussion.

OBJECTIVE: To provide athletic trainers and team physicians with updated recommendations to the 2014 National Athletic Trainers' Association (NATA) concussion position statement regarding concussion management, specifically in the areas of education, assessment, prognostic factors, mental health, return to academics, physical activity, rest, treatment, and return to sport. BACKGROUND: Athletic trainers have benefited from the 2 previous NATA position statements on concussion management, and although the most recent NATA position statement is a decade old, knowledge gains in the medical literature warrant updating several (but not all) recommendations. Furthermore, in various areas of the body of literature, current evidence now exists to address items not adequately addressed in the 2014 statement, necessitating the new recommendations. This document therefore serves as a bridge from the 2014 position statement to the current state of concussion evidence, recommendations from other organizations, and discrepancies between policy and practice. RECOMMENDATIONS: These recommendations are intended to update the state of the evidence concerning the management of patients with sport-related concussion, specifically in the areas of education; assessment advances; prognostic recovery indicators; mental health considerations; academic considerations; and exercise, activity, and rehabilitation management strategies.