Ego effect, Psychology Resilience and Physical Exercise on Negative Emotion of College Students
For testing the direct effects of ego effect, psychological resilience and physical exercise on negative emotions of college students, the Pearson correlation analysis of the four variables was carried out.
Table 1 shows that there is a very significant correlation between physical exercise and the five dimensions of depression, anxiety, stress, ego effect, psychological resilience (P <0.01); there is a very significant correlation between ego effect and depression, anxiety, stress (P <0.01); the five dimensions of psychological resilience have a very significant correlation with depression, anxiety, stress (P <0.01).
The author also tests the mean values of the three variables in negative emotions. results showed (table 2) that the negative emotional symptoms of college students decreased with the increase of physical exercise, and the levels of depression, anxiety and stress in the middle exercise group and the large exercise group were significantly lower than those in the small exercise group (P <0.01).
Regression Analysis of ego effect, Mental Resilience, Physical Exercise and Negative Emotion of College Students
Table 3 shows that ego effect and psychological resilience (personal ability) have a very significant predictive effect on negative emotions.The predictive power of ego effect to stress > anxiety > depression, psychological resilience (personal ability) to depression > stress and anxiety. Specifically, in predicting depression, emotional control > goal focus > positive cognition; in predicting stress, emotional control > positive cognition > goal focus.
Physical exercise can significantly predict negative emotions. Table 3 shows that the ability to predict stress > anxiety > depression. At the same time, physical exercise can also significantly predict ego effect and psychological resilience (personal ability).
The mediating effect of ego effect and psychological resilience between physical exercise and negative emotion
Standard procedure for testing intermediary effects.By centralizing the data of physical exercise, negative emotion, ego effect and psychological resilience (personal ability) in spss, the mediating effects of ego effect and psychological resilience (personal ability) on negative emotion in physical exercise were investigated. The first step is to test the total effect of independent variable and dependent variable C, if significant, the second step is to test the path coefficient of independent variable to intermediary variable a as well as independent variable and intermediary variable. If the path coefficient b and c, of the dependent variable are significant, the intermediary variable has partial mediation effect.
As shown in table 4, The regression coefficients of ego effect, psychological resilience (personal ability) and physical exercise were significant. Therefore, ego effect and psychological resilience (personal ability) play a part role in mediating negative emotions in physical exercise. The mediating effect of ego effect between physical exercise and negative emotion was 26.78%[ able=(0.471×0.224)/0.319≈0.2678]; The mediating effect of psychological resilience (personal ability) between physical exercise and negative emotion was 31.33%[ able=(0387×0.319)/0.394≈0.0.3133].
For further verification of the hypothesis, the AMOS20.0 is used to analyze the fitting degree of the hypothesis model. Because the sense of ego effect is a single dimension scale and there are many problems, the problems in the scale are divided into two packages, each package is 5 questions, which is used as the observation index. Taking physical exercise as independent variable, negative emotion as dependent variable, ego effect and psychological resilience as intermediary variables, the intermediary effect model was established. As shown in Figure 1, the standardized coefficient shows: x2=125.424，x2df=3.216, CFIdf=0.953, NFIdf=0.941, RFIdf=0.934, IFIdf=0.922, AGFIdf=0.917, RMSEAdf=0.065. According to Wu MinglongA point of view, in the SEM,x2/ df ≤5.00, RMSEA ≤0.08, CFI,NFI,RFI,IFI,AGFI df ≤0.90, indicating model adaptation. Therefore, all the indexes in this study model meet the adaptation standard and the fitting degree is correct.
Physical exercise → negative emotions (β=-0.17, P β=0.001), ego effect (β=0.47, P β=0.001), ego effect (β=-0.22, P β=0.001), psychological resilience → negative emotions (β=-0.32,0. The path coefficients of 001) were significant, indicating the mediating effect of ego effect and psychological resilience between physical exercise and negative emotion, which verified the hypothesis.
Modulating effects of psychological resilience
Standard procedure for testing regulatory effects.By means of SPSS20.0, the family support and interpersonal cooperation dimensions in physical exercise, negative emotion, psychological humanity were treated centrally. The first step is to do the regression of dependent variables to independent variables and regulatory variables, and the second step is to do the regression of dependent variables to independent variables, regulatory variables and interaction items between independent variables and regulatory variables. If the interaction items are significant, it indicates that the regulatory variables have regulatory effects. As shown in Table 5, family support (∆R) in physical exercise and psychological resilience2=0.005, F=0.041) R of interaction items2The change amount reaches a significant level, indicating that there is a regulatory effect. But the interaction between interpersonal assistance and physical exercise is not significant(∆R) Annex2=0.002, F=0.218Therefore, interpersonal assistance in psychological resilience (support) does not show the relationship between the negative emotions of physical exercise. At the same time, for each increase in family support, the slope of physical exercise to negative emotions increases by 0.075 standard deviations.