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With the development of information technology, the application of a new generation of information technologies, such as big data, Internet Plus, and artificial intelligence, in the sports field is an emerging, novel trend. This paper examined the relevant research results and literature on physical education, computer science, pedagogy, management, and other disciplines, then used a self-made questionnaire to investigate the physical health status of Chinese college students. The big data were subsequently analyzed, which provided a scientific basis for the construction of an intelligent governance system for college students' physical health. Intelligent devices may be used to obtain big data resources, master the physical sports development and psychological status of college students, and push personalized sports prescriptions to solve the problems existing in college students' physical health. Research shows that there are four reasons for the continuous decline in Chinese college students' physical health levels. These are students' lack of positive exercise consciousness and healthy sports values (85.43%), a weak family sports concept and lack of physical exercise habits (62.76%), poor implementation of school sports policies (55.35%), and people's distorted sports value orientation (42.27%). Through the connecting effect of data, we can bring together the positive role of the government, school, society, family, and students so as to create an interlinked impact to promote students' physical health. The problems of insufficient platform utilization, lack of teaching resources, lagging research, and insufficient combination with big data in the intelligent governance of physical health of Chinese college students can be solved by building an intelligent governance system of physical health. Such a system would be composed of school infrastructure, data resources and technology processing, and intelligent service applications. Among these, school infrastructure refers to the material foundation and technical support. The material foundation includes perceptions, storage, computing, networks, and other equipment, and the technical support includes cloud computing, mobile Internet, the Internet of Things, artificial intelligence, and deep learning. Data resources refer to smart data, such as stadium data, physical health management data, and students' sports behavior data, which are mined from data resources such as students' physical development, physical health, and sports through big data technology and intelligent wearable devices. Intelligent managers provide efficient, intelligent, accurate, and personalized intelligent sports services for college students through data resource value mining, venue space-time optimization, health knowledge discovery, sports prescription pushes, etc. Finally, we put forward the development strategy for further deepening and improving the big data-driven intelligent governance system for college students' physical health. The intelligent governance system of physical health driven by big data and its development strategy can not only accurately guide and improve the physical health level of college students but also realize integrated teaching inside and outside physical education classes.

ObjectiveThis study aimed to analyze the influence of cheerleading on female college students’ physical self-esteem and mental health.Materials and MethodsIn total, 63 female college students from the University of Electronic Science and Technology of China were trained in cheerleading for 16 weeks. The scores of each sub-field of physical self-esteem and psychological symptoms were analyzed by using Physical Self-Perception Profile (PSPP) and Symptom Checklist 90 (SCL-90), respectively, at 0 and 16 weeks of the experiment.ResultsAfter 16 weeks of cheerleading exercise, female college students had significant differences in physical attractiveness (T = 4.18), physical quality (T = 4.39), and physical self-worth (T = 3.35) before and after the experiment (P < 0.01). There were significant differences in physical condition (T = 3.87) and athletic ability (T = 2.88) before and after the experiment (P < 0.05). Somatization (T = 6.485), obsessive-compulsive symptoms (T = 11.716), interpersonal sensitivity (T = 10.077), depression (T = 8.403), anxiety (T = 10.767), hostility (T = 10.866), terror (T = 9.260), paranoia (T = 10.414), psychosis (T = 9.610), sleep and eating disorders (T = 9.323), total symptom index (T = 13.245), and mean score of positive symptoms (T = 12.237) were significantly different (P < 0.01).ConclusionCheerleading can significantly improve the level of female college students’ physical self-esteem, especially the self-esteem level of physical attractiveness, physical quality, and physical self-worth. They also experienced significant improvement in their psychological disorders, especially somatization, depression, and sleep and eating disorders, which effectively improved their overall mental health.