Design, Calibration and Morphological Characterization of a Flexible Sensor with Adjustable Chemical Sensitivity and Possible Applications to Sports Medicine.

Active life monitoring via chemosensitive sensors could hold promise for enhancing athlete monitoring, training optimization, and performance in athletes. The present work investigates a resistive flex sensor (RFS) in the guise of a chemical sensor. Its carbon 'texture' has shown to be sensitive to CO2, O2, and RH changes; moreover, different bending conditions can modulate its sensitivity and selectivity for these gases and vapors. A three-step feasibility study is presented including: design and fabrication of the electronic read-out and control; calibration of the sensors to CO2, O2 and RH; and a morphological study of the material when interacting with the gas and vapor molecules. The 0.1 mm-1 curvature performs best among the tested configurations. It shows a linear response curve for each gas, the ranges of concentrations are adequate, and the sensitivity is good for all gases. The curvature can be modulated during data acquisition to tailor the sensitivity and selectivity for a specific gas. In particular, good results have been obtained with a curvature of 0.1 mm-1. For O2 in the range of 20-70%, the sensor has a sensitivity of 0.7 mV/%. For CO2 in the range of 4-80%, the sensitivity is 3.7 mV/%, and for RH the sensitivity is 33 mV/%. Additionally, a working principle, based on observation via scanning electron microscopy, has been proposed to explain the chemical sensing potential of this sensor. Bending seems to enlarge the cracks present in the RFS coverage; this change accounts for the altered selectivity depending on the sensor's curvature. Further studies are needed to confirm result's reliability and the correctness of the interpretation.

Medical examinations of professional and amateur athletes at a sports medicine clinic. Insights from a sports medicine specialist and cardiologist.

In 2019, three regulations of the Minister of Health regarding sports medicine examinations in children, adolescents and young athletes came into force. The publication presents in detail the current scope of tests and the frequency of required medical examinations necessary to obtain medical certificates qualify- ing patients to practice sports. The publication also presents the Regulation of the Minister of Health on the required qualifications of doctors authorized to issue medical certificates to athletes. It is very important to properly assess the health of potential and current athletes to ensure their safety while participating in sports competitions. There are diseases that increase the risk of sudden cardiac death which doctors should keep in mind when qualifying athletes for competition. The publication draws attention to the underestimated role of echocardiography and electrocardiographic stress testing.

What do we know about Objective Structured Clinical Examination in Sport and Exercise Medicine? A scoping review.

Background and objectives: Despite the importance of the Objective Structured Clinical Examination (OSCE) in Sport and Exercise Medicine, the literature on the topic is fragmented and has been poorly developed. The goal of this review was to map current knowledge about how the OSCE is used in Sport and Exercise Medicine, and to identify knowledge gaps for future research. Method: The authors conducted a scoping review. They searched PubMed and Scopus for articles using key terms related to 'OSCE' and 'sport medicine' with no limit on search start date and up to July 2022. Retrieved records were imported, abstracts were screened, and full-text articles were reviewed. A forward and backward citation tracking was conducted. Data was extracted and a qualitative meta-summary of the studies was conducted. Results: A total of 469 records were screened, and 22 studies were included. The objectives of the studies included using OSCEs to assess knowledge/skills after a training program (n = 11), to assess an intervention (n = 8), and to assess and improve the OSCE itself (n = 3). Thirteen studies reported validity and/or reliability of the OSCE. Conclusion: Despite the widespread use of OSCEs in the examination of Sport and Exercise Medicine trainees, only a handful of scholarly works have been published. More research is needed to support the use of OSCE in Sport and Exercise Medicine for its initial purpose. We highlight avenues for future research such as assessing the need for a deeper exploration of the relationship between candidate characteristics and OSCE scores.

Contexte et objectifs: Malgré l'importance de l'examen clinique objectif structuré (ECOS) en médecine du sport et de l'exercice, la littérature sur le sujet est fragmentée et peu développée. L'objectif de cette étude était de cartographier les connaissances actuelles sur l'utilisation de l'ECOS en médecine du sport et de l'exercice, et d'identifier les lacunes en matière de connaissances en vue de recherches futures. Méthode: Les auteurs ont procédé à un examen approfondi. Ils ont recherché dans PubMed et Scopus des articles utilisant des termes clés liés à "OSCE" et "médecine du sport" sans limite de date de début de recherche et jusqu'en juillet 2022. Les enregistrements trouvés ont été importés, les résumés ont été examinés et les articles en texte intégral ont été examinés. Un suivi des citations en avant et en arrière a été effectué. Les données ont été extraites et un méta-résumé qualitatif des études a été réalisé. Résultats: Au total, 469 dossiers ont été examinés et 22 études ont été incluses. Les objectifs des études comprenaient l'utilisation des ECOS pour évaluer les connaissances/compétences après un programme de formation (n = 11), pour évaluer une intervention (n = 8), et pour évaluer et améliorer l'ECOS lui-même (n = 3). Treize études ont fait état de la validité et/ou de la fiabilité des ECOS. Conclusion: Malgré l'utilisation répandue des ECOS dans l'examen des stagiaires en médecine du sport et de l'exercice, seuls quelques travaux scientifiques ont été publiés. Des recherches supplémentaires sont nécessaires pour soutenir l'utilisation de l'OSCE en médecine du sport et de l'exercice pour son objectif initial. Nous mettons en évidence des pistes de recherche futures telles que l'évaluation de la nécessité d'une exploration plus approfondie de la relation entre les caractéristiques des candidats et les résultats des ECOS.

A bibliometric analysis from 2013 to 2023 reveals research hotspots and trends in the connection between sport and regenerative medicine.

The field of regenerative medicine for sports injuries has grown significantly in the 21st century. This study attempted to provide an overview of the current state of research and key findings regarding the relationship between sport and regenerative medicine in general, identifying trends and hotspots in research topics. We gathered the literature from the Web of Science (WOS) database covering the last 10 years (2013-2023) pertaining to regenerative medicine for sporter and applied Citespace to assess the knowledge mapping. The findings demonstrated that there were 572, with a faster increase after 2018. The country, institution, and author with the most publications are the USA, Harvard University, and Maffulli Nicola. In addition, the most co-cited reference is J Acad Nutr Diet (2016) (199). Adipose tissue, high tibial osteotomy, and bone marrow are the hot spots in this field in the next few years.

The role of echocardiography in sports cardiology: An expert opinion statement of the Italian Society of Sports Cardiology (SIC sport).

Transthoracic echocardiography (TTE) is routinely required during pre-participation screening in the presence of symptoms, family history of sudden cardiac death or cardiomyopathies <40-year-old, murmurs, abnormal ECG findings or in the follow-up of athletes with a history of cardiovascular disease (CVD). TTE is a cost-effective first-line imaging modality to evaluate the cardiac remodeling due to long-term, intense training, previously known as the athlete's heart, and to rule out the presence of conditions at risk of sudden cardiac death, including cardiomyopathies, coronary artery anomalies, congenital, aortic and heart valve diseases. Moreover, TTE is useful for distinguishing physiological cardiac adaptations during intense exercise from pathological behavior due to an underlying CVD. In this expert opinion statement endorsed by the Italian Society of Sports Cardiology, we discussed common clinical scenarios where a TTE is required and conditions falling in the grey zone between the athlete's heart and underlying cardiomyopathies or other CVD. In addition, we propose a minimum dataset that should be included in the report for the most common indications of TTE in sports cardiology clinical practice.

2024 HRS expert consensus statement on arrhythmias in the athlete: Evaluation, treatment, and return to play.

Youth and adult participation in sports continues to increase, and athletes may be diagnosed with potentially arrhythmogenic cardiac conditions. This international multidisciplinary document is intended to guide electrophysiologists, sports cardiologists, and associated health care team members in the diagnosis, treatment, and management of arrhythmic conditions in the athlete with the goal of facilitating return to sport and avoiding the harm caused by restriction. Expert, disease-specific risk assessment in the context of athlete symptoms and diagnoses is emphasized throughout the document. After appropriate risk assessment, management of arrhythmias geared toward return to play when possible is addressed. Other topics include shared decision-making and emergency action planning. The goal of this document is to provide evidence-based recommendations impacting all areas in the care of athletes with arrhythmic conditions. Areas in need of further study are also discussed.

International Criteria for Reporting Study Quality for Sudden Cardiac Arrest/Death Tool.

BACKGROUND: Studies reporting on the incidence of sudden cardiac arrest and/or death (SCA/D) in athletes commonly lack methodological and reporting rigor, which has implications for screening and preventative policy in sport. To date, there are no tools designed for assessing study quality in studies investigating the incidence of SCA/D in athletes. METHODS AND RESULTS: The International Criteria for Reporting Study Quality for Sudden Cardiac Arrest/Death tool (IQ-SCA/D) was developed following a Delphi process. Sixteen international experts in sports cardiology were identified and invited. Experts voted on each domain with subsequent moderated discussion for successive rounds until consensus was reached for a final tool. Interobserver agreement between a novice, intermediate, and expert observer was then assessed from the scoring of 22 relevant studies using weighted and unweighted κ analyses. The final IQ-SCA/D tool comprises 8 domains with a summated score of a possible 22. Studies are categorized as low, intermediate, and high quality with summated IQ-SCA/D scores of ≤11, 12 to 16, and ≥17, respectively. Interrater agreement was "substantial" between all 3 observers for summated IQ-SCA/D scores and study categorization. CONCLUSIONS: The IQ-SCA/D is an expert consensus tool for assessing the study quality of research reporting the incidence of SCA/D in athletes. This tool may be used to assist researchers, reviewers, journal editors, and readers in contextualizing the methodological quality of different studies with varying athlete SCA/D incidence estimates. Importantly, the IQ-SCA/D also provides an expert-informed framework to support and guide appropriate design and reporting practices in future SCA/D incidence trials.

Big data analytics for image processing and computer vision technologies in sports health management.

BACKGROUND: Visualization of sports has a lot of potential for future development in data sports because of how quickly things are changing and how much sports depend on data. Presently, conventional systems fail to accurately address sports persons' dynamic health data change with less error rate. Further, those systems are unable to distinguish players' health data and their visualization in a precise manner. An excellent starting point for building fitness solutions based on computer vision technology is the data visualization technology that arose in the age of big data analytics. OBJECTIVE: This research presents a Big Data Analytic assisted Computer Vision Model (BD-CVM) for effective sports persons healthcare data management with improved accuracy and precision. METHODS: The fitness and health of professional athletes are analyzed using information from a publicly available sports visualization dataset. Machine learning-assisted computer vision dynamic algorithm has been used for an effective image featuring and classification by categorizing sports videos through temporal and geographical data. RESULTS: The significance of big data's great potential in screening data during a sporting event can be reasonably analyzed and processed effectively with less error rate. The proposed BD-CVM utilized an error analysis module which can be embedded in the design further to ensure the accuracy requirements in the data processing from sports videos. CONCLUSION: The research findings of this paper demonstrate that the strategy presented here can potentially improve accuracy and precision and optimize mean square error in sports data classification and visualization.

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.

Cardiovascular considerations on recreational scuba diving. SEC-Clinical Cardiology Association/SEC-Working Group on Sports Cardiology consensus document.

The practice of recreational scuba diving has increased worldwide, with millions of people taking part each year. The aquatic environment is a hostile setting that requires human physiology to adapt by undergoing a series of changes that stress the body. Therefore, physical fitness and control of cardiovascular risk factors are essential for practicing this sport. Medical assessment is not mandatory before participating in this sport and is only required when recommended by a health questionnaire designed for this purpose. However, due to the significance of cardiovascular disease, cardiology consultations are becoming more frequent. The aim of the present consensus document is to describe the cardiovascular physiological changes that occur during diving, focusing on related cardiovascular diseases, their management, and follow-up recommendations. The assessment and follow-up of individuals who practice diving with previous cardiovascular disease are also discussed. This document, endorsed by the Clinical Cardiology Association of the Spanish Society of Cardiology (SEC) and the SEC Working Group on Sports Cardiology of the Association of Preventive Cardiology, aims to assist both cardiologists in evaluating patients, as well as other specialists responsible for assessing individuals' fitness for diving practice.

Machine learning/artificial intelligence in sports medicine: state of the art and future directions.

Machine learning (ML) is changing the way health care is practiced and recent applications of these novel statistical techniques have started to impact orthopaedic sports medicine. Machine learning enables the analysis of large volumes of data to establish complex relationships between "input" and "output" variables. These relationships may be more complex than could be established through traditional statistical analysis and can lead to the ability to predict the "output" with high levels of accuracy. Supervised learning is the most common ML approach for healthcare data and recent studies have developed algorithms to predict patient-specific outcome after surgical procedures such as hip arthroscopy and anterior cruciate ligament reconstruction. Deep learning is a higher-level ML approach that facilitates the processing and interpretation of complex datasets through artificial neural networks that are inspired by the way the human brain processes information. In orthopaedic sports medicine, deep learning has primarily been used for automatic image (computer vision) and text (natural language processing) interpretation. While applications in orthopaedic sports medicine have been increasing exponentially, one significant barrier to widespread adoption of ML remains clinician unfamiliarity with the associated methods and concepts. The goal of this review is to introduce these concepts, review current machine learning models in orthopaedic sport medicine, and discuss future opportunities for innovation within the specialty.

Mental Practice: Applying Successful Strategies in Sports to the Practice of Emergency Medicine.

Emergency physicians are expected to learn and maintain a large and varied set of competencies for clinical practice. These include high acuity, low occurrence procedures that may not be encountered frequently in the clinical environment and are difficult to practice with high fidelity and frequency in a simulated environment. Mental practice is a form of a cognitive walk-through that has been shown to be an effective method for improving motor and cognitive skills, with literature in sports science and emerging evidence supporting its use in medicine. In this article, we review the literature on mental practice in sports and medicine as well as the underlying neuroscientific theories that support its use. We review best-known practices and provide a framework to design and use mental imagery scripts to augment learning and maintaining the competencies necessary for physicians at all levels of training and clinical environments in the practice of emergency medicine.

Name, Image, and Likeness and the Health of the Young Athlete: A Call to Action for Sports Medicine Providers and the Athletic Healthcare Network.

CONTEXT: In June 2021, the National Collegiate Athletic Association (NCAA) adopted a new policy allowing NCAA athletes the opportunity to benefit and profit from their name, image, and likeness (NIL). Several state high-school associations have established policies to guide their members and students through the new era of NIL. While the potential benefits cannot be ignored, NIL presents novel responsibilities and stressors to athletes. This paper will review the paucity of literature on the effect of NIL on youth athletes and bring attention to mental health, well-being, or academic performance impacted by NIL. EVIDENCE ACQUISITION: Articles were identified through Google and PubMed search starting from NIL policy approval (June 30, 2021). Search terms included "name, image and likeness" and "NIL." STUDY DESIGN: Clinical commentary. LEVEL OF EVIDENCE: Level 5. RESULTS: Although 1 article was identified through PubMed search and numerous articles were identified through Google search, no articles directly evaluated the effects of NIL on the mental health, well-being, or academic performance of youth athletes. CONCLUSION: It is critical for sports medicine providers and other members of the athletic healthcare network to familiarize themselves with these emerging topics to best serve their patients and communities. The athletic healthcare network must be prepared to address possible NIL-related health ramifications for our patients and their families and help them navigate a confusing and predatory landscape. We must provide resources to youth athletes to minimize the risks associated with NIL involvement and related activities, and to ensure that athletes with NIL contracts are able to balance their academic and athletic responsibilities. Fostering strong relationships between stakeholders and sports medicine staff is paramount to creating an environment that permits honest discussions about NIL and the health of athletes from youth to adulthood. STRENGTH-OF-RECOMMENDATION TAXONOMY: N/A.

How can outdoor sports protect themselves against climate change-related health risks? - A prevention model based on an expert Delphi study.

OBJECTIVES: To systematically develop an adaptation model to reduce climate change-related health risks for outdoor athletes. DESIGN: Delphi Method study. METHODS: A classic asynchronous Delphi study was conducted with a total of three survey rounds. 24 experts from the eight largest outdoor sport associations by membership in the German Olympic Sports Confederation were included as well as 24 medical experts with expertise in sport medicine, internal medicine, allergology, dermatology, infectiology, or toxicology. Based on open-ended questions, panelists were asked to consider prevention measures for sport organizations and clubs. Free text responses were analyzed by qualitative content analysis according to Mayring. RESULTS: Experts recommended establishing the following eight fields of prevention measures: technical and structural measures; organizational measures; personalized measures; basic, advanced, and continuing education; concepts of action, warning concepts, and financial concepts; cooperation and coordination; campaigns; and evaluation measures. CONCLUSIONS: The pyramid model presented in this study systematizes possible sport-specific adaptation measures on climate change by empirical aggregation of knowledge from scientists, sport organizations, clubs, trainers, and professional athletes. To assess the effectiveness of these prevention measures, sport organizations may incorporate them not only into broader operations but also everyday training routines.

Analysis of a Division I Sports Medicine Program's COVID-19 Protocol: Identifying Factors that Predict Testing Demands and Positive Rates During a Pandemic.

OBJECTIVE: To determine factors indicating testing frequency and positive test results in a Division I sports department intrapandemic. DESIGN: Retrospective analysis. SETTING: A single Division I collegiate sports department. PATIENTS: All student-athlete (n = 437), student staff (n = 89), and adult staff (n = 202) members of the sports department. Total cohort (n = 728). INTERVENTIONS: The authors analyzed the independent variables of local positive rates, sport characteristics, and campus events for impact on the volume of the departmental testing and positive rates. MAIN OUTCOME MEASURES: Measured dependent variables of the volume of departmental testing and positive rates were analyzed. RESULTS: Positive predictive rates (PPRs) largely differed from local, off-campus rates in timing and duration (59.52%: P < 0.05). Overall, 20633 tests were administered with 201 positive results (0.97% PPR). Student-athlete numbers were highest in all categories, followed by adult then student staff. Greater proportions of contact sports became positive (53.03%: P < 0.001) and all-male sports (47.69%: P < 0.001). No comparative difference was seen for teams using fomites (19.15%: P = 0.403). Spring sports teams had the lowest percentage of the team positive (22.22%: P < 0.001). Winter sports had the highest PPR (1.15%), all occurring during team-controlled activities. Playing sports indoors did not increase inside team-controlled activity positive rates ( P = 0.066). CONCLUSIONS: Longitudinal changes in local, off-campus infection rates partially affected sports departmental positive results while testing rates were more influenced by sport and university schedule. Testing resources should be directed toward high-risk sports, which included contact sports (football, basketball, and soccer), all-male teams, both Winter and indoor sports inside team-controlled activities, and sports with long periods of time outside team-controlled activities.

Acupuncture in Sports Medicine.

Acupuncture is gaining popularity and wider acceptance as a treatment modality within the field of sports medicine. Our objective was to provide a comprehensive review of the existing literature pertaining to acupuncture in sports medicine to shed light on approaches utilized in acupuncture while revealing its personalized nature and its impact on athletes' preparation, performance, and recovery. We evaluated acupuncture research in the context of medicine and sports-related injury treatment, assessing its impact on athletic performance across demographics of athletes. Athletes participating in most sports have shown positive outcomes from acupuncture interventions. Acupuncture improves peak oxygen levels, maximum heart rate, delayed-onset muscle soreness, pain, swelling, explosive force production, and joint mobility. Furthermore, the efficacy of acupuncture appears to be similar regardless of age and sex. Lastly, the acceptance of acupuncture is influenced by cultural factors, with Western and traditional East Asian cultures exhibiting distinct perspectives on its rationale and mechanisms of action. Traditional East Asian acupuncturists typically employ qi and meridian theories in their acupuncture practices, with the recent incorporation of Western concepts. Acupuncture shows promise as an effective treatment for musculoskeletal pain and neuropathies in athletes across different age groups and for addressing injuries in various sports. Our comprehensive review will enhance our understanding of acupuncture's potential as a complementary or distinct therapeutic approach compared to conventional therapies. Additionally, our review explores its specific applications within different sports and delves into the cultural dimensions involved in integrating this practice into modern sports medicine.

Female athlete health domains: a supplement to the International Olympic Committee consensus statement on methods for recording and reporting epidemiological data on injury and illness in sport.

The IOC made recommendations for recording and reporting epidemiological data on injuries and illness in sports in 2020, but with little, if any, focus on female athletes. Therefore, the aims of this supplement to the IOC consensus statement are to (i) propose a taxonomy for categorisation of female athlete health problems across the lifespan; (ii) make recommendations for data capture to inform consistent recording and reporting of symptoms, injuries, illnesses and other health outcomes in sports injury epidemiology and (iii) make recommendations for specifications when applying the Strengthening the Reporting of Observational Studies in Epidemiology-Sport Injury and Illness Surveillance (STROBE-SIIS) to female athlete health data.In May 2021, five researchers and clinicians with expertise in sports medicine, epidemiology and female athlete health convened to form a consensus working group, which identified key themes. Twenty additional experts were invited and an iterative process involving all authors was then used to extend the IOC consensus statement, to include issues which affect female athletes.Ten domains of female health for categorising health problems according to biological, life stage or environmental factors that affect females in sport were identified: menstrual and gynaecological health; preconception and assisted reproduction; pregnancy; postpartum; menopause; breast health; pelvic floor health; breast feeding, parenting and caregiving; mental health and sport environments.This paper extends the IOC consensus statement to include 10 domains of female health, which may affect female athletes across the lifespan, from adolescence through young adulthood, to mid-age and older age. Our recommendations for data capture relating to female athlete population characteristics, and injuries, illnesses and other health consequences, will improve the quality of epidemiological studies, to inform better injury and illness prevention strategies.