Ork activities (see Table 3). Each of the sn-Glycerol 3-phosphate MedChemExpress psychological aspects had a important unfavorable correlation with social media time and Television series/video watching. On top of that, time spent on hobbies correlated negatively with social media use. Each on the net leisure activities, time spent on social media and Television series/video watching, correlated negatively together with the 4 domains of satisfaction (family members, friends, leisure, and work activities). 3.2. Structural Equation Model As a way to test the effects of psychological components on satisfaction, mediated by leisure activities, we fitted a structural equation model. The initial model indicated a great fit having a comparative match index CFI = 0.99, a Tucker ewis match index (TLI) = 0.97, and the RMSEA = 0.02. As a result of the clustered nature of our data, standard errors had to become controlled by groups. If information had been considered individually, the standard error will diminish artificially, increasing the probability of form I error and turning significant a number of the relationships. Therefore, we ran precisely the same model with clustered regular errors by nation having a SRMR of 0.005. This final model (see Figure 1) revealed that psychological things possess a significant predictive impact both on leisure activities and satisfaction. Having said that, the explicative energy of it’s relatively low since the explained variance of leisure activities is in between 1 and 9 , and between 13 and 20 with regards to satisfaction. A much more detailed overview in the significant paths is shown in Figure 2.Int. J. Environ. Res. Public Overall health 2021, 18,9 ofTable three. Bivariate correlations between psychological variables, leisure activities, and satisfaction.1 Psychological components 1. Self-esteem 2. Self-control three. Emotional stability Leisure activities 4. Sports five. Hobbies six. Series/videos 7. Social media Satisfaction 8. Family 9. Friends ten. Function 11. Leisure Control variables 12. Sex 13. Age 1 0.28 0.48 0.08 0.05 -0.16 -0.16 0.38 0.33 0.44 0.34 1 0.43 0.00 0.03 -0.12 -0.14 0.12 0.07 0.11 0.ten 1 0.04 0.06 -0.12 -0.16 0.25 0.21 0.22 0.23 1 0.20 0.02 0.00 0.06 0.10 0.ten 0.20 1 0.03 -0.05 0.03 0.05 0.03 0.16 1 0.42 -0.11 -0.05 -0.ten -0.0.02 -0.20 -0.ten -0.05 -0.08 -0.06 0.05 -0.28 1 0.47 0.34 0.28 0.03 0.17 1 0.36 0.32 0.05 0.06 1 0.41 0.00 0.14 -0.06 0.28 -0.03 0.21 -0.15 0.24 -0.06 -0.04 -0.02 0.03 -0.04 0.14 1 -0. p 0.05; p 0.01; p 0.001.Int. J. Environ. Res. Public Overall health 2021, 18,0.005. This final model (see Figure 1) revealed that psychological things have a considerable predictive impact each on leisure activities and satisfaction. Having said that, the explicative energy of it really is reasonably low because the explained variance of leisure activities is among 1 and 9 , and involving 13 and 20 relating to satisfaction. A far more detailed overview of the substantial paths is shown in Figure 2.10 ofFigure 1. Direct effects tested within the structural equation model. Note: Blue (+)-Sparteine sulfate In Vivo arrows indicate the direct Figure 1. Direct effects tested in the structural equation model. activities, red arrows indicate the direct effects of psychological variables on time spent in distinctive Note: Blue arrows indicate the directeffects of psychological variables on satisfaction in different activities, red arrows indicate the effects of psychological variables on time spent on each and every location, and green arrows indicate the direct direct effects of psychological variables on satisfaction on every single area, and green arrows indicate the effect Int. J. Environ. Res. Public.
