Objectives: Injuries are common events that impair the function of joggers; it is important to take effective measures to reduce the incidence of jogging injuries to maximize its benefits. Methods: We collected questionnaires from 3468 Chinese exercisers using a stratified random sampling method. We analyzed these data using AMOS 22.0 (IBM) and SPSS 26.0 (IBM). Results: We constructed a relationship model of jogging risk cognition, jogging risk behaviors, and jogging injury incidence, and the indicators fit well. The path coefficient between jogging risk cognition and jogging risk behaviors of joggers was -0.64; the path coefficient between jogging risk behaviors and jogging injuries incidence was 0.44; and the path coefficient between jogging risk cognition and jogging injuries incidence was -0.23. Conclusions: The higher the level of jogging risk cognition of joggers, the lower their jogging risk behaviors, leading to a lower incidence of jogging injuries. Based on the generally low level of jogging risk cognition of joggers, the construction of a jogging risk cognitive education system that can be integrated into universities, middle schools and primary schools, as well as family, school and society, is conducive to comprehensively improve the level of jogging risk cognition of joggers.
Objectives: With the rapid increase in the number of Chinese joggers, the number of people incurring injuries from jogging also has increased. Evaluating the relationship between jogging-related risk cognition and risky behaviors while jogging will help improve jogging-related risk cognition among joggers. Methods: We collected questionnaires about jogging-related risky behaviors and risk cognition from 3468 Chinese exercisers using a stratified random sampling method. We analyzed these data with correlation and multi-linear regression analyses. Results: The regression coefficients between risk cognition related to jogging-related technical procedures and risky behavior, between risk cognition related to personal physical and mental conditions and risky behavior, between risk cognition related to jogging-related equipment factors and risky behavior, between risk cognition related to jogging-related environmental factors and risky behavior, and between risk cognition related to personal jogging competition-related factors and risky behavior were all negative and statistically significant (p < .05). Conclusions: The level of risk cognition related to jogging is negatively correlated with actual risky behavior during jogging, which indicates that the higher the level of jogging-related risk cognition, the fewer jogging-related risky behaviors occur.
Introduction: High intensity exercise is an important factor to achieve the best exercise effect, and is closely related to the patient's safety and rehabilitation. Objective: To investigate the effects of high intensity exercise on cardiovascular response and substance and energy metabolism. Methods: 50 male students at a university were selected. The average age of the subjects was 23 years old. Process of the experiment: Before the experiment, each subject took routine warm-up activities first, then put on the experimental equipment and began to run 100 meters. At the same time, the subjects’ heart rate, blood oxygen parameters and exercise time were recorded. After passing the finish line, a period of heart rate recording and blood oxygen parameters were continued. Results: Anaerobic metabolism was the main activity in the 100m race. The first 7s after the start of the race, there is a non-lactic acid process without oxygen metabolism, and the muscle oxygen saturation curve presents little change. Conclusions: High intensity exercise in sports training and physical exercise can lead to reduced heart rate variability. The increased incidence of various arrhythmias should be based on the actual situation of the movement of the object, and a reasonable arrangement of exercise load intensity. Level of evidence II; Therapeutic studies - investigation of treatment results.
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