Sports Information Research Articles

Signs of low energy availability in elite male volleyball athletes but no association with risk of bone stress injury and patellar tendinopathy

ABSTRACT Relative Energy Deficiency in Sport (RED-S) syndrome is associated with undesirable health and performance outcomes. The aetiology of RED-S syndrome is low energy availability (LEA). LEA has been reported in male athletes in various sports, but there is little information in team sports. Therefore, the aims of this study were to assess the point-prevalence of surrogate markers of LEA in elite male volleyball players and examine the association between low and normal total-testosterone (TES) on endocrine markers, resting metabolic rate, bone mineral density (BMD), and history of injury/illness. Using a cross-sectional design, 22 elite male volleyball players underwent anthropometric, dual-energy X-ray absorptiometry (DEXA or DXA) and resting metabolic rate testing, bloodwork, dietary analysis, the three-factor eating questionnaire–R18, injury/illness questionnaire and Victorian Institute of Sport Assessment – patellar tendon questionnaire. The primary finding of this investigation was that 36% of athletes had ≥2 surrogate markers of LEA. Although fasted insulin was lower and cortisol was higher in players with low-total TES, low BMD, low RMR and various other endocrine markers linked to LEA were not observed. More research is required to define surrogate markers of LEA in male athletes. HIGHLIGHTS Thirty-six percent of volleyball players had ≥2 surrogate markers of LEA. The Cunningham, 1991 predictive RMR equation and/or the cut-off point (<0.9) may be unsuitable for detecting energy conservation associated with LEA in large male athletes. There was no association between total-TES and risk of bone stress injury, illness and patellar tendinopathy.

Prof. Korkut Ulucan: "We have the largest archive in terms of genetic information in sports"

Prof. Korkut Ulucan: "We have the largest archive in terms of genetic information in sports"

The possibility of using genetic information in sport

The possibility of using genetic information in sport

Map-based communication: a pivotal function of knowledge information in sports

Previous studies vividly indicate that understanding sports communication in competitive and non-competitive contexts could benefit athletes, coaches, officials, businesses, governing bodies, and spectators. This study aimed to inspect publication trends relevant to the global evolution of sports communication based on two high-impact and predominant databases, Scopus and Web of Science. The study analyzed selected top publications (peer-reviewed articles, books, and reports), keywords, and institutional data via ScientoPy on map-based communication. Our results depicted that the Scopus and WoS databases reveal growing trends in sports communication. The study's primary contribution is that it identified: the primary map-based communication research, essential keywords, connected studies, and leading universities within the sport management and sports scholarly fields. Keywords like (but not limited to) "public relations" and "organizational communication" has become prevalent in sport mapping communication between 2018 and 2019. The five most popular keywords concerning sports communication in include (but are not limited to) "Sports," "Communication," "social media," "Sports communication," and "Media." the findings of our paper will be helpful (but not limited to): scholars interested in sports communication, athletes (professional, non-professional, and students), stakeholders, and researchers. Similarly, the study provides future readers and scholars with a global perspective on the current hot topics in sports communication to help them disseminate their ideas, as well as a variety of analyses to assist in the organization of data and the development of theory and practice in sports communication research.

Athletic disruptions caused by the COVID-19 pandemic negatively affect high school student-athletes social-emotional well-being.

To examine whether high school student-athletes who experienced more COVID-19 disruptions had increased anxiety, increased dejection, increased anger, decreased excitement, and decreased happiness as measured by the validated Sports Emotion Questionnaire (SEQ). During the COVID-19 pandemic high school student-athletes faced disruptions which resulted in cancelation of competitions, reduced in-person training sessions, and quarantine of athletes. The impact of these disruptions on the mental health and well-being of student-athletes is unknown. An anonymous cross-sectional online survey was electronically distributed to high school student-athletes in one school district during the spring of the 2020 to 21 academic year. Basic demographic questions, sport information, and personal and team disruptions were collected. Multivariate linear regression was used to assess correlation between each emotional domain on the SEQ with independent variables such as personal or teammate quarantines, cancelations, season, sport gender, indoor or outdoor location, and level of competition. 125 surveys were returned representing 28 different sports. Student-athletes who were personally quarantined (22.4%) during their athletic season experienced greater dejection (β = 0.78, P = .003) and greater anger (β = 0.78, P = .005). Those with teammates quarantined (61.6%) experienced more anxiety (β = 0.30, P = .048). Spring sports, which faced fewer restrictions, were associated with less anger (β = -0.48, P = .048). Student-athletes who were directly affected by COVID-19 disruptions experienced increased anxiety, more dejection, and more anger. Public health authorities and school districts should minimize disruptions to athletic participation using established COVID-19 safety protocols to avoid causing harm to athletes' social-emotional well-being. If athletics must be disrupted, student-athletes should receive wellness support and virtual or remote training options.

Research on Application of Computer Artificial Intelligence Technology in Sports Economic Big Data Analysis

People's fitness concept is becoming more and more mature. The general public has also begun to pursue a higher quality of healthy life. The improvement of physical fitness has become an important part of a healthy life. Sports shoes and clothing, exercise equipment, health management, etc. have become people's daily sports and fitness consumption. At the same time, "intelligence + sports economy" makes more and more people look forward to sports. Intelligent sports that are in line with emerging technologies enter people's lives. Various sports apps, wearable smart devices, etc. not only make people Sports information is digitized, and big data technology can be used to analyze the collected data. For example, the detection of user's fat consumption and sleep quality provides scientific support for users' physical fitness. Sports consumption has become a driving force for the upgrading of the sports industry. Important grip.

The Components of Smart Sports in Universities with the Assistance of Smart Devices

With the continuous maturity of information technology, the cause of intelligent sports continues to innovate and develop. By comparing and analyzing the relevant contents of intelligent sports and traditional sports in colleges and universities, this paper fully demonstrates the unique advantages brought by the development of concepts, basic technologies, educational resources, and intelligent applications in colleges and universities under the construction of intelligent sports and provides a feasible basis for the extensive development of intelligent sports. In order to solve the problems of multiparty data collection, equipment availability, and accuracy of knowledge formation caused by the interdisciplinary nature of sports science, it is necessary to establish an integrated system that can effectively support sports information analysis. In this paper, we propose an intelligent sports information analysis system architecture supported by SmartDev technology, design and implement the SmartDev intelligent sports information analysis system and apply it to university sports training. The practical results show that the use of this system can support multisource data collection, high accuracy of analysis results, and availability of equipment, which is beneficial to the development of sports.

Application of Data Mining in Offensive Tactical Research of Tennis Match

With the continuous development and growth of information technology and data scale, data mining technology has gradually matured and applied in various fields. With the continuous improvement in sports information level, the sports data are also increasing. It is the general trend to use data mining technology in the field of sports data analysis. In this article, data mining technology is used in the research of offensive tactical data of tennis, which aims to provide scientific data support for tactical decision-making in tennis training and competition and improve the winning rate of tennis competition. Firstly, based on the requirement analysis, the goal and structure framework of the tennis tactical analysis system are determined. The main functions of the system include tactical data collection, tactical statistics, and tactical comprehensive analysis. Then, the data collection ability, speed, and tactical statistic function of the tennis tactical analysis system are tested. The accuracy rate of data collection for five common offensive tactics in 10 matches of the tennis tactical analysis system is 94.4%, 97.1%, 100%, 97.4%, and 96.3%, respectively. This shows that the tennis tactical analysis system developed in this article can accurately record the tactical data in the game in real time. After the test, the system is used to analyze the tactics used by a tennis player in 2015 and analyze the characteristics of various tactics of the serve round and receive round. The results show that W-C-C is the main tactic of the serve round in the singles match, with the utilization rate of 100% and the scoring rate of W-C-C-Q tactics of 100%; the most important landing area is the inner corner of the right area, with the distribution rate of 30% and the scoring rate of 73.33%. The tactics of receiving round are mainly C-C-C-C tactics, with the utilization rate of 66.67% and the scoring rates of C-C-C-C tactics and C-Q-C-C tactics are 100%; the most important landing area is the middle road, with the distribution rate of 41.67% and the scoring rate of 46.67%. To sum up, the application of data mining in the research of offensive tactics in tennis matches has high analysis efficiency and accuracy, which is worthy of promotion.

Application of Internet of Things Combined with Wireless Network Technology in Volleyball Teaching and Training.

Motion information collection technology is a means for measuring, tracking, and recording the movement traces of individuals in space. This method can complete the data collection of volleyball players and the ball trajectory and realize quantification and statistical analysis of the data to present a virtual model of the player's movement trajectory. It is inseparable from the acquisition of information to complete the information collection. Therefore, this work uses the radio frequency identification (RFID) technology in the Internet of Things technology to build an information collection system and apply it to volleyball sports. The existing positioning system based on RFID has problems such as significant positioning errors and high system costs due to the arrangement of a large number of readers. This paper first introduces the theoretical knowledge of the RFID system, wireless network positioning technology, and RFID system positioning method in the Internet of Things. Besides, the theoretical framework of the volleyball movement information acquisition system is presented based on the Received Signal Strength Indication of the RFID system and Location Identification based on the Dynamic Active RFID Calibration (LANDMARC) algorithm. Then, the LANDMARC algorithm is improved through the Centroid Positioning algorithm, forming the CP-LANDMARC algorithm. Finally, a simulation experiment is conducted to test the system effect. The results demonstrate that: (1) the average error of the basic LANDMARC algorithm is 0.55 meters, and the average error of the CP-LANDMARC algorithm is 0.46 meters; (2) the average error of the CP-LANDMARC algorithm is 0.43 meters when the reference label is set to be evenly distributed in a square, and the average error of the optimized algorithm is 0.38 m when the reference label is set as an equilateral triangle; and (3) when the number of reference labels increases to 110, the average error decreases from 0.38 to 0.29. This paper aims to improve the quality of volleyball teaching and training by designing a relevant sports information acquisition system.

УПРАВЛЕНИЕ УЧЕБНО-ПОЗНАВАТЕЛЬНОЙ ДЕЯТЕЛЬНОСТЬЮ ОБУЧАЮЩИХСЯ ПО ДИСЦИПЛИНЕ «ФИЗИЧЕСКАЯ КУЛЬТУРА И СПОРТ» В УСЛОВИЯХ ИНФОРМАЦИОННО-ОБРАЗОВАТЕЛЬНОЙ СРЕДЫ ВУЗА

Statement of the problem. The article states that the effectiveness of cognitive activity management of participants in the educational process directly depends on the degree of dissemination of the latest methods and techniques of knowledge transfer, through the introduction of technical and technological innovations, the quality of electronic educational resources and the readiness of scientific and pedagogical staff to carry out professional activities in a developed information society. This also proves that the improvement of the educational process in institutions of higher education in physical culture and sports is based on the latest ways of interaction of subjects in the educational process within the information and educational environment of higher education in physical culture and sports. The purpose of the article is to study the mechanisms of interaction between the subjects of educational activity in the information and educational environment of higher education in physical culture and sports in the process of managing students’ cognitive activity. Research methodology includes a systematic approach to the study of the process of managing the cognitive activity of students, theoretical analysis, systematization and generalization of scientific and pedagogical literature and advanced pedagogical experience, and modeling. Research results. It is determined that sports and pedagogical information is distributed in a higher education institution in digital form, and its characteristic features include a relation between physical culture and sports activities, a focus on highlighting aspects of the development of physical culture and sports, concentration on physical abilities of a person in motion. A schematic model of knowledge translation has been developed, the process of managing students’ cognitive activity within the information and educational environment of higher education has been studied and the conditions for effective management of students’ cognitive activity have been determined. Conclusions. The study showed that within a university, the creation and development of the electronic information and educational environment (EIEE) in Physical Culture and Sports is aimed at ensuring continuous training of students in a developed information society, taking into account the specifics of the content of education and the contingent involved in competitive training activities. It is established that, depending on the physical presence of the student in the classroom, the ways of interaction between the subjects of educational activity are being modernized. Free access to knowledge outside the University’s EIEE in Physical Culture and Sports on the territory of the information and educational space opens up opportunities for participants of the educational process to expand and deepen the updated and generated knowledge.

Knee strength symmetry at 4 months is associated with criteria and rates of return to sport after anterior cruciate ligament reconstruction.

Strength limb symmetry index (LSI) is a useful criterion to help in return-to-sport performance (RTP) after anterior cruciate ligament reconstruction (ACLR). We aimed to assess whether knee extensor and flexor LSI values at 4 months after ACLR are associated with those recommended at 8 months after ACLR for RTP (80%, 85% and 90%) and with successful RTP after 2 years. This was prospective cohort study of 113 participants who underwent primary ACLR. Personal factors such as demographic and sport information, injury and surgery characteristics were collected at 6 weeks after surgery. Isokinetic strength LSI (60°/s) was calculated at 4 months (LSI[4m]) and 8 months (LSI[8m]) for knee extensors (Q-LSI) and flexors (H-LSI). Participants were followed at 2 years after ACLR to determine their self-reported RTP. Multiple linear regression analysis was used to determine associations between personal factors and LSI at 4 and 8 months. Associations between passing the optimal cut-off thresholds and RTP were tested with chi-square tests and odds ratios (ORs) with effect sizes (ES). Among the 113 participants (mean age 25.2 [SD 9.7] years; 42% females), extended tourniquet time and lower level of pre-injury sport were associated with lower Q-LSI[4m] and H-LSI[4m]. Bone-patellar tendon-bone graft was associated with lower Q-LSI[4m] and Q-LSI[8m], and older age was associated with lower Q-LSI[4m]. For knee extensors, Q-LSI[4m] >59% was associated with Q-LSI[8m] >80% (OR= 31.50, p<0.001, large ES) and increased odds of successful RTP (60% vs 31%, OR= 3.45, p=0.003, medium ES). For knee flexors, H-LSI[4m] >72% was associated with H-LSI[8m] >90% (OR= 6.03, p<0.001, large ES) and increased odds of successful RTP (53%vs 23%, OR= 3.76, p=0.013, small-to-medium ES). After primary ACLR, 4-month post-operative strength symmetry was negatively associated with age, pre-injury sport and tourniquet time and bone-patellar tendon-bone graft. Four-month post-operative LSI was associated with 8-month post-operative LSI, and Q-LSI[4m] >59% or H-LSI[4m] >72% was associated with increased RTP rates after 2 years. GOV: NCT04071912.

On the intelligent construction of sports information system in colleges and universities in the post-epidemic era

The traditional physical education teaching and management mode in colleges and universities can no longer meet and adapt to the needs of the new round of physical education reform with the increasing popularity of "smart campus" today. Reference to common standards of wisdom campus for state construction, build a set of classroom teaching in colleges and universities, physical testing, extracurricular exercise, sports competition, venue booking five campus sports information system of the business, to explore the development of intelligent tutorship, intelligent clock in extracurricular exercise, intelligent sports competitions, such as smart meter wisdom sports teaching management and service functions, Straightforward the working ideas, optimize the education model, and revitalize the campus resources, so as to realize the work requirements of "church, practice and often competition" for school sports under the teaching concept of "student-centered", comprehensively improve the quality of campus sports teaching and reshape the connotation of campus sports culture.

A Sports Digital Training System Based on Middle and Bottom Visual Information

Physical exercise has become increasingly popular in China in recent years, and the number of individuals participating in physical activities is growing year after year. Therefore, they are facing the problem of a serious shortage of sports resources, especially in the central and western regions where a complete physical education teaching system has not been established yet. The introduction of sports digital training alleviates this problem to a great extent. This approach uses advanced computer technology for digital training, collects people’s sports information, and formulates suitable sports programs for different groups. The system can collect people’s action videos at the same time by two cameras, analyze the athletes’ actions from the side and face by using the software, and compare the professional athletes’ actions with the collected video action for in-depth analysis. The sports digital training system proposed in this study focuses on collecting the bottom visual information of sports. The visual information in the middle and low levels is mainly used to describe the content of video segments, i.e., key primitives, including motion trajectory, motion action, and tracking motion, and establishes a sports digital training system based on the bottom visual information. In addition to the completion of basic functions of a sports digital training system, the system also adds the functions of video segmentation, action freezing, speed calculation, table display, local locking, and tracking, which can accurately collect the bottom visual information of people’s sports and realizes the digital sports training.

Design and Application of Major Sports Events Management Information System Based on Integration Algorithm.

With the rapid development of social economy and the change of ideology, people are increasingly enthusiastic about participating in sports events. How to make better use of the existing massive network data of sports events to solve the overload of information circulation of sports events has become a potential application problem to promote the development of sports information digitalization. Based on this problem orientation, this paper chooses to study the common characteristics of the current Internet data of sports events and the corresponding and applicable event recommendation technology and constructs feasible event recommendation model as the main direction of solution. The competition information system is the core technology system of the games and the central nervous system of the games. By summing up the previous high-level comprehensive games, the competition information system should serve the competition, command, media, and the public. The smooth construction and stable operation of the perfect design of the competition information system will reflect the organization level of the games and guarantee the success of the games. At the same time, it has certain guiding significance for the design of the competition information system of the large-scale comprehensive games in China in the future.

Sports Information Needs in Chinese Online Q&amp;A Community: Topic Mining Based on BERT

The online Question and Answering (Q&amp;A) community has grown globally, allowing users to ask, discuss, and answer questions based on shared interests. As a gathering place for people’s knowledge production, collaboration, and dissemination in the current Internet scene, the online Q&amp;A community can intuitively reflect the public’s information needs and behavior. It also collects many sports-related data and becomes an effective vehicle for comprehending mass sports information needs and disseminating sports knowledge. However, sports-related studies on the online Q&amp;A community have rarely been reported. This study took the sports information in Zhihu, the largest Q&amp;A community in China, as the research object to explore the public needs for sports information in China. We introduced the BERT model through a self-compiled python program and collected 391,092 sports-topic answers in the online Q&amp;A community of Zhihu. Then, we explored the topic content, evolution trend, and user attributes of these answers. We found that the overall trend of sports information needs in Zhihu can be divided into three cycles: the London 2012 Olympic period, the Rio 2016 Olympic period, and the Tokyo 2020 Olympic period in general. The diversified content of information needs included 40 second-level themes and eight first-level themes. Male and female users had similarities and differences in sports information needs. The male and female users had the same information needs for fitness-related information. However, men were more concerned with confrontational solid sports such as basketball and football; women were more likely to care about weight loss, shape effect, and self-protection while doing sports activities. In addition, compared with men, women preferred to emphasize their gender attributes when expressing their needs for sports information to obtain more practical knowledge. In conclusion, our finding reveals that the sports community formed by the current online Q&amp;A community in China is still a male-dominated information field.

Application of Spatial Digital Information Fusion Technology in Information Processing of National Traditional Sports

The rapid development of digital informatization has led to an increasing degree of reliance on informatization in various industries. Similarly, the development of national traditional sports is also inseparable from the support of information technology. In order to improve the informatization development of national traditional sports, this paper studies the fusion process of multisource vector image data and proposes an adjustment and merging algorithm based on topological relationship and shape correction for the mismatched points that constitute entities with the same name. The algorithm is based on topological relationship. The shape of the adjustment and merging algorithm is modified, and finally, a set of national traditional sports information processing system is constructed by combining the digital information fusion technology. Experiments have proved that the method of national traditional sports information processing based on digital information fusion technology proposed in this paper is effective and can play a good role in the digital development of national traditional sports.

Analysis and application of the sports education information data using big data

The education of physical education has changed as a result of big data. To promote the university physical education modernization, this paper points out that big data should be used in the management of sports information in colleges and universities. Apriori algorithm using MapReduce model is proposed to accelerate the calculation and storage capacity of management data. The system also provides various data API interfaces, which integrate all kinds of sports resources in high schools and various institutes, and promote the accuracy of association rule mining. To build a sports big data environment and enhance the decision-making ability and intelligent level of sports management information system, an improvement strategy is proposed.

증강현실을 이용한 스포츠 관람 플랫폼에 관한 연구

This paper is a study on a platform that provides information using augmented reality when watching sports. The purpose of this study is to design an AR sports platform to provide sports information and enjoy watching. The research method is first, to investigate and analyze literature and previous studies related to augmented reality and sports viewing. Second, to design AR platform, process is defined, and information by sports type is designed to construct contents. Third, indoor and outdoor group sports (Basketball, Soccer) and individual sports (Swimming, Golf) prototypes are produced. We expect to use this platform to experience extended sports such as game information, understanding, and fun elements. In order to apply all sports games to the platform, information is organized according to the characteristics of the game, and actual usability test and contextual information linkage are needed. It is expected that it will be a meaningful attempt in the field of augmented reality sports convergence.

Sports Information Communication Model Based on Network Technology

Sports Information Communication Model Based on Network Technology

New Media Sports Communication on College Students' Sports Behavior

Based on the literature review of new media, communication studies and sports behavior, this paper explores how the new media as the carrier of sports information dissemination mode, communication characteristics, communication factors and communication effects affect college students' sports behavior. According to the exploration of the measurement index system and the discussion of its relationship, this study proposes relevant hypotheses and establishes a model for the impact of sports dissemination on college students' sports behavior. According to the measurement index system, a questionnaire on new media sports dissemination and sports behavior was compiled and distributed. Through the collection and analysis of relevant data, as a quantitative study, SPSS and AMOS tools were used to analyze the influence of new media communication elements on college students' sports behavior. Based on the results of this research, this study proposes the use of new media to strengthen the dissemination of sports information and hopes to improve the educational communication ability of colleges and universities and cultivate students' healthy sports awareness and action sports behavior.