Effect of physical exercise on negative emotions in Chinese university students: The mediating effect of self-efficacy.

Objective: This study investigates the impact of physical activity on negative emotions among university students and examines the mediating influence of self-efficacy, aiming to furnish empirical insights and a theoretical framework to enhance and optimize the mental health of this population comprehensively. Methods: Using the cluster random sampling method, 5341 university students were selected from three universities. The questionnaire included demographic information about university students, physical exercise behaviors, expressions of negative emotions such as depression and anxiety, and self-efficacy in physical exercise. The types of questionnaires included the Physical Activity Rating Scale (PARS-3), the General Self-Efficacy Scale (GSES), and the Depression Anxiety Stress Scales (DASS). Results: 76.877 % of university students had low exercise. The detection rates of depression, anxiety and stress in negative mood were 77.041 %, 64.276 % and 47.931 %, respectively. There were significant differences in physical exercise and negative mood scores among university students of different genders and grades. University student. Negative emotions were significantly correlated with physical exercise and self-efficacy (P < 0.001). According to the regression model, physical exercise can significantly predict negative emotions and self-efficacy. The mediating effect of self-efficacy is evident. Conclusion: Physical exercise among university students typically comprises light workouts, associated with a high prevalence of anxiety symptoms. Self-efficacy acts as a mediator in the effects of physical exercise on negative emotions within this group.

Effect of physical exercise on sleep quality in college students: Mediating role of smartphone use.

OBJECTIVE: To investigate the effect of physical exercise on sleep quality and the mediating effect of smartphone use behavior in college students. METHODS: A cross-sectional study design was adopted. An online survey of 5,075 college students was conducted using the Physical Activity Rating Scale-3, the Pittsburgh Sleep Quality Index, and the Mobile Phone Addiction Tendency Scale. RESULTS: The sleep quality of college students was poor, and the proportion of college students with good sleep quality was 23.567%. A significant correlation existed between sleep quality and physical exercise (r = -0.159, P < 0.001) and mobile phone addiction (r = 0.355, P < 0.001). Physical exercise can predict sleep quality in college students (ß = -0.011, P < 0.001). Smartphone use plays a part in mediating the process by which physical exercise affects sleep quality. CONCLUSION: Chinese college students have poor sleep quality. Physical exercise and smartphone use behavior are important factors affecting the sleep quality of college students. Physical exercise can directly predict the sleep quality of college students and can predict the sleep quality of college students through the mediating effect of smartphone use behavior.

Epidemiological Study of Physical Activity, Negative Moods, and Their Correlations among College Students.

OBJECTIVE: Negative moods in college students have caused frequent extreme behaviors. This study analyzed the current status and correlation between physical activity and negative moods in college students. METHODS: A cross-sectional study design was used in the present research. Data on college students' physical activity and negative moods were collected using the Sports Questionnaire Star software. The questionnaires were administered to college students in five colleges and universities in Henan and Jiangsu Provinces, China, and a total of 3711 correctly completed questionnaires were returned. Data on sociological and demographic information, the International Physical Activity Questionnaire Short Form (IPAQ-SF), and the Depression Anxiety and Stress Scale (DASS) were collected. The research was conducted in December 2021. RESULTS: The low-intensity physical activity rate among college students was 55.56%, while depression, anxiety, and stress symptoms were detected in 35.14%, 65.29%, and 10.99%of the college students, respectively. Depression (K = 35.58, p < 0.001) and anxiety (K = 15.56, p < 0.001) rates were significantly different among the different physical activity intensity groups. The proportion of students who perform high-intensity physical activities was lower than those who perform low- and moderate-intensity physical activities. CONCLUSION: Low physical activity and high anxiety are evident among college students, and prolonged moderate-to-low-intensity physical activity (including static behavior) induces depression and anxiety. In the future, further studies can be conducted on improving the physical activity intensity of college students, improving the mental health monitoring and intervention systems of college students, and exploring the dose-effect relationship between physical activity and negative moods.