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A243: The Relationship Among Sport Confidence, Failure Coping, and Athletic Motivation of Students in Physical Education
No full textIn the research on the psychological abilities in sports competitions, exploring sports motivation is indispensable. Sports motivation has the functions of stimulating students\u27 sports behaviors, guiding students to choose sports events, and strengthening and maintaining students\u27 participation in sports. Sports confidence is the main stabilizing factor in students\u27 mental health. Failure coping is the most important link in students\u27 psychological adjustment after competitions. Paying attention to the characteristics and relationships of the students\u27 confidence in sports, coping with failure, and motivation for sports is conducive to making the students of this major attach importance to the development of their competitive psychological abilities in sports and become physical education teachers oriented towards the core competencies of the subject. Method: The Sports Psychological Factors Questionnaire , the Chinese Athlete Stress Coping Scale , and the Sports Motivation Scale were adopted. All the above scales. The questionnaire survey was conducted in two steps: the pre-survey and the formal survey. The formal survey selected 897 undergraduate students majoring in Physical Education from Beijing Sport University, Guangzhou Sport University, and Tianjin Sport University from 2018 to 2021. The effective data were analyzed using SPSS 25.0 software. The total effect, direct effect, and mediating effect of the variables were tested and analyzed by P 3.3. The correlation between trait and state confidence in movement confidence is significant and positive (r=0.409, P \u3c 0.001). The correlation related to failure coping is that the correlations among the four dimensions are all significant and positive (r=0.255 to r=0.401). The correlation related to movement motivation that the participation tendency and avoidance tendency of movement motivation significantly positively correlated (r=0.329, P \u3c 0.001). The correlations between trait confidence and state confidence under movement confidence and participation tendency and avoidance tendency under movement motivation were all significantly positive (r=0.275 to r=0.329). The correlations between failure coping and movement confidence and movement motivation that the correlations between failure coping and each dimension of movement confidence and movement motivation all significant and positive (r=0.245 to r=0.3294). There are significant differences in sports confidence, failure coping, and sports motivation among female and male students, as well as among students of different sports programs and grades. Failure coping strategies are significantly correlated with all dimensions of sports confidence and sports motivation
A267: Transformation from Urban Industrial Heritage into Sports Space: A Case Study of Beijing Shougang Park
No full textTransforming urban industrial heritage into sports space is an energy-saving and efficient way of space development and utilization. It can effectively generate novel sports space resources, while the cultural connotations of space and new forces for driving sports consumption. However, the re-utilization of industrial heritage in most cities has not been closely integrated with urban renewal. Therefore, based on Lefebvre’s theory of spatial production, this research aims to provide a new production mechanism for the protection and utilization of industrial heritage as well as the sustainable development of cities. Method: On the stage of the Beijing Winter Olympics, the ingenious design of Shougang Big Air simultaneously honored the legacy of the steel era and harmonized with modern winter sports, realizing the “Green Olympics” vision, and establishing a paradigm for industrial heritage renewal. Therefore, this research takes Beijing Shougang Park as a unique case to study. Two field investigations in Beijing\u27s Shougang Park were conducted in October 2024 and December 2024, respectively. Two consulting experts of the Beijing Winter Olympics, three department heads of Shougang Group, and two nearby residents were invited for an in-depth interview. Nearly 60-minute semi-structured interviews were conducted with each individual. All interviews were audiotaped, transcribed verbatim, and subjected to content analysis. Shougang\u27s practice demonstrates that industrial heritage can become sustainable spaces preserving history, energizing economies, and reshaping ecosystems through creative reinvention. Its main transformation includes transforming industrial heritage into sports venues and facilities in physical space; building a characteristic sports landscape with an Olympic theme in cultural space; and creating a technological and innovative sports consumption space in social space. Through cultural empowerment and technological innovation, former steel workshops evolved from “hardcore industrial spaces” into public sports parks, cultural landmarks, and urban vitality hubs. This study extends Lefebvre’s theory of spatial production to the intersection of industrial heritage and sports, revealing the complex interaction of power, capital, and culture in the process of spatial transformation. The research shows that the transformation of industrial heritage mainly relies on the combined effect of physical reconstruction, cultural integration, and social interaction to promote its transformation into a modern sports space. Reasonable operation strategies and reuse planning are key factors in ensuring the sustainable development of sports venues, including stratified scenario development, life-cycle management, collaborations with diverse sports organizations, and cutting-edge technology for innovation
A271: High-intensity Interval Resistance Training on Physical Fitness and Body Composition in Overweight and Obese Adults
No full textIn recent years, the prevalence of overweight and obesity has been steadily increasing in China. Finding an effective approach that can simultaneously improve cardiorespiratory fitness, increase muscle strength, and promote weight loss in overweight and obese individuals remains a significant challenge. This study investigates the effects of high-intensity interval resistance training (HIIRT) on optimizing body composition and promoting physical fitness. By improving training efficiency, the study aims to establish a scientific exercise intervention strategy to provide effective exercise guidance to support health management and weight control. A total of 26 untrained participants (BMI ≥ 24 kg/m²; body fat ≥ 25% for men and ≥ 30% for women) were recruited (age: 31.56 ± 8.98 years, height: 170.66 ± 10.76 cm, weight: 77.48 ± 23.02 kg). The intervention consisted of a two-week exercise adaptation phase followed by an eight-week HIIRT program. Body composition, maximal oxygen uptake (VO₂max), muscular strength, and resting metabolic rate were assessed using Metalyzer 3B and CORTEX Bike-M. Data were analyzed using SPSS and R software, and paired-sample t-tests were used to test the significance of differences before and after the intervention to evaluate the effects of HIIRT on strength, cardiopulmonary function, and body composition. Before the intervention, participants had a mean body weight of 77.48 ± 23.02 kg, a BMI of 26.22 ± 5.80 kg/m², a body fat percentage of 31.35 ± 6.68% and a maximum (6RM) squat of 55.4 ± 23.5 kg. After the intervention, body weight decreased significantly to 75.76 ± 4.53 kg, BMI to 25.63 ± 5.71 kg/m², and body fat percentage to 29.79 ± 6.92%, while 6RM squat increased significantly to 69.2 ± 22.20 kg (P \u3c 0.01). However, no significant differences in VO2max and resting metabolic rate were observed (P \u3e 0.05). 1) HIIRT effectively improves body composition and contributes to significant weight loss in overweight and obese individuals. 2) HIIRT significantly improved muscular strength. The effect of HIIRT on cardiorespiratory fitness requires further investigation, as the lack of improvement may be due to the specific interval time used in the training protocol. Similarly, the lack of significant changes in resting metabolic rate may be due to the weight loss during the intervention period
A266: A Study on the Health Promotion Mechanisms and Practical Paths of Traditional Lion Dance Sports
No full textAs a living cultural heritage of Chinese traditional sports, lion dance combines physical exercise, cultural heritage, and social cohesion. Although its health value is widely recognized in folk practices, there is a lack of systematic and theoretical mechanism analysis in academia. This study aims to reveal the promotion mechanism of lion dance sport on individual physical and mental health and social adaptation through multi-dimensional analysis, and to propose its practical path in modern health governance. The literature method was used to systematically sort out the relevant literature during the period of 2006-2025 and establish a theoretical analysis framework. The expert interview method was used to conduct in-depth interviews with a total of 10 national-level non-genetic inheritors, professors from sports colleges, and community lion dance coaches. The fieldwork method was used to conduct participatory observation in Qingdao, Shandong Province, and Urumqi, Xinjiang Province, for a period of 6 months. Using the experimental method, a 5-week comparative experiment was conducted with 30 participants, and their push-up counts before and after the experiment were measured to represent strength qualities. A questionnaire method was used to measure pre- and post-trial levels of mental health and social support using the GHQ-12 and MSPSS, respectively. Mathematical statistics were used, and the paired-samples t-test and independent-samples t-test were applied to the relevant data using 27.0. The strength quality of the experimental group increased from 6.3±3.8 in the pre-test to 8.2±4.3 in the post-test (p=0.001), the total score of the GHQ-12 scale decreased from 9.2±2.1 in the pre-test to 5.8±1.7 in the post-test (p=0.003), and the total score of the social support decreased from 48.5±5.2 in the pre-test to 57.9±4.8 in the post-test (p=0.004), which were significantly superior to that of the control group (p \u3c 0.01). The health promotion of traditional lion dance exercise is based on the acquisition of physical skills, the internalization of psychological self-confidence as a bridge, and the externalization of social adaptation as a result. The traditional lion dance sport achieves health promotion through the triple mechanism of “acquisition of physical skills, internalization of cultural meaning, and reconstruction of social relations”. However, its development faces challenges such as insufficient scientific knowledge of the traditional training system and declining participation of youth groups
A184: Double-Blind Experiment Based on HRV and SCL-90 Compared Badjin and Yoga to Relieve Anxiety
No full textCollege students have high anxiety due to academic and social stress. Heart rate variability (HRV) reflected sympathetic-parasympathetic balance through the LF / HF ratio and was positively associated with anxiety; the SCL-90 scale (total score 160 or factor 2 is abnormal) was used for mental health assessment. In this study, a double-blind experiment was used to compare the effect of Baduanjin (Chinese guidance) and yoga (physical and mental practice) in India on the anxiety of college students and analyze the physical and mental synergy mechanism with HRV and SCL-90 data, so as to provide evidence-based basis for mental health intervention in universities. Method: A total of 120 college students with high anxiety levels (SCL-90 anxiety factor 2 points) were randomly divided into an eight-stage brocade group, a yoga group, and a blank control group, with 40 students in each group. A double-blind randomized controlled design was used: the Baduanjin group in 12 weeks of standardized training (3 times a week, 60 minutes each time), the yoga group the same frequency, and the control group maintained daily activities. Resting HRV (SDNN, RMSSD, LF / HF) was measured using Firstbeat Bodyguard 2 devices before and after the intervention, and anxiety and depression scores from the SCL-90 scale were collected. Data were analyzed using repeated measures analysis of variance (RM-ANOVA) and Pearson\u27s correlation test (p \u3c 0.05, p \u3c 0.01), with control for confounding variables such as sleep and diet. HRV improved significantly, with 14.2 ± 3.5 ms of SDNN, RMSSD 18.6 ± 4.3 ms (all p \u3c 0.001), LF / HF 0.7 ± 0.3 (p=0.002), and increased parasympathetic activity; SDNN and RMSSD increased only slightly (7.8 ± 2.8 ms and 9.2 ± 3.1 ms, p \u3c 0.05), with no change in LF / HF. The SCL-90 score showed that anxiety decreased by 9.1 ± 1.6 points (p \u3c 0.001) and depression by 7.5 ± 1.4 points (p \u3c 0.001), which was better than the yoga group (4.3 ± 1.1 points, p=0.021). HRV improvement was strongly negatively associated with anxiety relief (r=-0.58, p \u3c 0.001), with no significant change in the control group. This study confirmed for the first time through a double-blind experiment that Baduanjin is better than yoga in regulating autonomic function and relieving anxiety, and the mechanism of body-body synergy may originate from the traditional concept of interest-mind adjustment
A009: New Quality Productive Forces for Ecological Sports Parks: Implications, Barriers, Strategies
No full textThe new quality productive force, as a high-innovation, high-efficiency, high-quality productive force form, leverages deep integration with cutting-edge technological elements to demonstrate significant intelligent and digital leaps in the management scope of ecological sports parks. This process not only greatly catalyzes the transformation of the ecological sports park management system to a higher-level intelligent form but also provides a solid support framework for green and low-carbon development. Method: By searching multiple databases such as CNKI and FOAS with keywords such as new quality productive force and ecological sports park, this study used research methods such as literature analysis and logical analysis to find that the following problems have emerged in the sustainable development of ecological sports parks driven by new quality productive force: an incomplete policy support system; lagging technological innovation and application; weak talent resource endowment; insufficient data resource mining and utilization; limited financial input and high operational costs. Result: In response to the above dilemma, this paper proposes the following optimization strategies: Firstly, it is essential to improve the policy and institutional framework, clearly defining the core role of new quality productivity in the construction process to ensure the stability and sustainability of its empowerment; secondly, optimize the technological innovation ecosystem to accelerate the research and development and iteration of key technologies and promote the transformation of achievements, to enhance the effectiveness and front-end of empowerment; thirdly, build a comprehensive talent cultivation mechanism and establish a collaborative training model between schools and enterprises to ensure the sustainability and innovation of empowerment; , cultivate the ecological environment of data element market, and enhance the precision and intelligent level of empowerment. Conclusion: By introducing and deeply integrating new types of productive forces into the comprehensive planning and implementation process of ecological sports parks, the ecological service function can be significantly enhanced, the broad benefits of social welfare can be increased, and the economic value can be deeply mined and realized. The implementation of these strategies will effectively solve existing problems and maximize the effectiveness of new quality productive forces in the sustainable development of ecological sports parks, promoting long-term stable development
A167: Relationship Between Health-Promoting Lifestyles and Physical and Mental Health: A Cross-Sectional Study Among University Students
No full textUniversity students’ sedentary behavior, insufficient sleep, and other unhealthy lifestyle habits, compounded by social competition, academic pressure, and digital “screen dependence,” have exacerbated mental health issues and health risks. A health-promoting lifestyle, as a proactive approach to improving well-being, is a key pathway to alleviating these challenges. This study explores the relationship between health-promoting lifestyles and physical and mental health, providing scientific evidence for university health interventions. Method: A stratified random sampling method was used to select 1,383 male undergraduate students as the study sample. During the spring semester of 2021, researchers distributed a demographic questionnaire, the Health-Promoting Lifestyle Profile-II Revised (HPLP-II-R), and the Self-Rated Health Measurement Scale (SRHMS V1.0. After applying inclusion and exclusion criteria, 1,245 valid questionnaires were collected. The collected data were analyzed using SPSS 25.0, employing independent sample t-tests, one-way analysis of variance, correlation analysis, and regression analysis (1) The overall level of health-promoting lifestyle among the participants was moderate (2.43±0.37), with relatively low scores in the dimensions of physical exercise (2.15±0.46) and health responsibility (1.87±0.43); factors such as grade, place of origin, only-child status, and academic pressure all had an influence. (2) The overall self-rated health of the participants was at a suboptimal level (68.10±6.36), with only-child status and parental education level significantly affecting students’ self-rated health. (3) The total score of health-promoting lifestyle was significantly positively correlated with the total self-rated health score (r=0.512, p \u3c 0.01), and the dimensions of health-promoting lifestyle were significantly negatively correlated with psychological symptoms and negative emotions (r=-0.236, p \u3c 0.01). Interpersonal relationships (β=0.332, p \u3c 0.01), spiritual growth (β=0.248, p \u3c 0.01), physical exercise (β=0.116, p \u3c 0.01), and nutrition (β=0.089, p \u3c 0.05) were significant predictors of self-rated health (1) The health-promoting lifestyle among the participants requires improvement; specifically, the dimensions of physical exercise and health responsibility, with targeted guidance provided according to different student characteristics. Overall, students’ self-rated health is at a suboptimal level, with particularly low self-rated mental health. (2) There is a significant positive correlation between a health-promoting lifestyle and self-rated health. Specifically, the dimensions of interpersonal relationships, spiritual growth, physical exercise, and nutrition significantly predict overall self-rated health levels; interpersonal relationships and nutrition predict self-rated physical health levels; spiritual growth predicts self-rated mental health levels; and interpersonal relationships and spiritual growth predict self-rated social health levels
A017: Research on the Application of Artificial Intelligence Empowered Blended Teaching in College Physical Education Courses
No full textWith the rapid development of educational informatization in colleges and universities, the blended teaching model has gradually become a hot topic in the field of education. Artificial intelligence, with its powerful data processing and intelligent analysis capabilities, provides new opportunities for the application of blended teaching in college physical education courses. This study aims to explore the application effects of artificial intelligence empowered online-offline blended teaching in college physical education courses, promote the improvement of physical education teaching quality, and the development of students\u27 physical literacy. Method: Questionnaire survey and experimental method adopted. A physical education course university selected as the sample to collect students\u27 feedback, teachers\u27 opinions, and teaching data. (1) Students\u27 physical skills have been improved, and their test scores are better than those in traditional models. (2) Students\u27 interest in sports and classroom participation has been enhanced, and they are more actively involved in online interaction and offline participation. (3) Teachers\u27 teaching efficiency has been improved, and they carry out precise teaching with the help of intelligent technology. (4) The technical upgrade of the online teaching platform improves the user satisfaction degree, thereby enhancing the online teaching effect. (5) There are problems such as insufficient adaptability of teaching resources and poor effect of cultivating some students\u27 autonomous learning ability. (1) Compared with the traditional model, the new model has obvious advantages in personalized teaching and real-time feedback, paying more attention to students\u27 individual differences and autonomous learning. (2) The application of artificial intelligence in physical education teaching should build a digital intelligent platform to improve user satisfaction, use big data to realize precise teaching resources, and implement multidimensional management. (3) Artificial intelligence should be used to change the way of teacher-student interaction, so that teachers can pay more attention to students\u27 individual development. (4) Using artificial intelligence and virtual reality technology to conduct intelligent diagnoses for students, form a sports classroom behavior report, and improve teaching effectiveness
A132: Digital Health Services to Promote Healthy Aging: The Logical Way, Blocking Barriers and Breakthrough Paths
No full textWith the aging of the population in our country, healthy aging becomes an important strategic objective to improve the quality of life. Digital health services, as an emerging model, use the Internet, big data, artificial intelligence, and other technical means to provide innovative solutions for the health management of the elderly. However, older people have special characteristics in terms of digital skills and health service needs, which lead to many challenges for digital health services in promoting healthy aging. In recent years, the state has issued a series of policies to promote the development of healthy aging, such as the 14th Five-Year Plan for Healthy Aging and Opinions on Promoting the construction of Basic Elderly Care Service System , which have provided policy support for the development of digital health servicesexposed problems such as weak infrastructure, supply-demand imbalance, and digital divide. This study adopts literature, logical analysis, expert interviews, and other research methods to the logical path of digital health services to promote healthy aging, analyze the barriers it faces, and propose a corresponding breakthrough path. The study found that the logical path of digital health services to promote healthy aging includes implementing policy requirements, meeting the increasing demand for elderly health services, empowering the elderly health service system, and innovating management models. However, its development faces challenges such as weak infrastructure, insufficient matching of supply and demand, deepening digital divide, coordination of multiple entities, and lack of institutional norms. Digital health services have great potential to promote healthy aging, but they also face many challenges. Measures such as strengthening infrastructure construction, optimizing supply and demand matching, narrowing the digital divide, establishing collaborative mechanisms, and improving institutional norms can effectively improve the quality and accessibility of digital health services for the elderly and promote the development of healthy aging. From the perspective of theory and practice innovation, this study provides theoretical reference and practical reference for China\u27s digital health services to promote healthy aging
A117: Using BERTopic Modeling to Explore Physical Education Utilizing ICT
No full textPhysical education (PE) plays a vital role in student well-being, but China’s traditional PE faces rigid curricula, simplistic assessments, and uneven urban-rural teaching quality. Since the 2017 Next Generation Artificial Intelligence Development Plan, China has promoted ICT integration into PE. Technologies like big data, AI, and VR offer personalized teaching and data-driven practices, aligning with China’s push for innovation-driven development. However, the impact of ICT-integrated PE on physical activity and learning outcomes remains unclear. This study uses BERTopic to analyze research trends and key themes, offering insights for future research and policy. Method: A literature review was conducted using the CNKI database. Search terms included “PE,” “Physical education,” “Sports education,” “Artificial Intelligence,” “Machine Learning,” “Virtual Reality,” and “Big Data.” Articles from 2015-2024 were analyzed. Preprocessing (segmentation, cleaning, stop-word removal) was done using Python’s NLTK library. BERTopic modeling, based on pre-trained transformer embeddings, extracted topics and trends. Based on BERTopic modeling, 14 research topics (Topic 0-13) were identified and grouped into four key categories representing ICT integration in Chinese physical education: 1. Data-Driven Education and Practice Innovation(Topics: 3, 6, 12), focusing on big data integration to enhance teaching models, practical skills, and assessment standards. 2. Intelligent Sports Training and Health Promotion(Topics 1, 10), emphasizing smart technologies in training and health management to improve performance and public health. 3. Virtual Reality and Digital Transformation(Topics: 0, 4, 7), exploring how VR and digital tools drive the digital transformation of the sports industry and reshape PE practices. 4. ICT-Enhanced Education and Teaching Tools(Topics: 2, 5, 11, 8, 9, 13), highlighting the integration of technology across classrooms, homes, and hybrid learning environments to build a modern PE ecosystem. This study identified key research themes in China’s ICT-integrated physical education (PE), including data-driven innovation, intelligent sports training, virtual reality applications, and digital teaching tools. These themes highlight how ICT enhances PE quality, supports sports industry growth, and promotes public health, offering valuable insights for future research and policy. Aligned with China’s New Quality Productive Forces strategy, PE is rapidly shifting toward digital, intelligent, and personalized models driven by big data, AI, and virtual reality. This transformation strengthens talent development, research, and the high-quality development of the sports industry