| Literature DB >> 36141468 |
Baole Tao1, Hanwen Chen1, Tianci Lu1, Jun Yan1.
Abstract
Youth subjective well-being is enhanced not only from physical exercise but also from internet use. Based on the 2017 China General Social Survey (CGSS) data, the Bootstrap method was used to examine the mechanisms of the effects of physical exercise and internet use on youth subjective well-being. In this study, the questionnaire data of 619 Chinese young people (18-35 years old) were selected as the sample source. It was found that physical exercise (2.881 ± 1.352) and internet use (4.544 ± 0.756) had positive effects on youth subjective well-being (88.762 ± 11.793). Life satisfaction (2.253 ± 0.826) partially mediated the development of physical exercise and internet use on subjective well-being, with indirect effects of 34.1% and 30.4%, respectively. A social mindset (10.181 ± 1.966) played a moderating role in the relationship between physical exercise and youth subjective well-being and internet use and youth subjective well-being in both groups. The positive effects of physical exercise and internet use on youth subjective well-being gradually increased with the improvement in social mindset. This study revealed the mechanisms of physical activity and internet use on subjective well-being and that life satisfaction and the social mindset of youth are essential factors influencing subjective well-being.Entities:
Keywords: internet use; physical activity; social mindset; subjective well-being; youth
Mesh:
Year: 2022 PMID: 36141468 PMCID: PMC9517512 DOI: 10.3390/ijerph191811201
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 4.614
Figure 1Hypothetical model diagram of physical activity and internet use on youth subjective well-being.
Sample characteristics.
| Variable (619) | Percentage | Physical Exercise | Internet Use | Social Mentality | Subjective Well-Being |
|---|---|---|---|---|---|
| Educational level | |||||
| Junior high school and below | 23.1 | 2.143 | 3.963 | 9.886 | 83.610 |
| High school | 23.7 | 2.913 | 4.585 | 9.535 | 86.680 |
| College | 17.8 | 2.935 | 4.705 | 10.325 | 88.660 |
| Undergraduate | 30.7 | 3.185 | 4.725 | 10.650 | 90.310 |
| Graduate and above | 4.7 | 3.340 | 4.520 | 10.620 | 93.410 |
| Gender | |||||
| Male | 43.9 | 3.000 | 4.600 | 9.850 | 87.368 |
| Female | 56.1 | 2.780 | 4.500 | 10.440 | 89.847 |
Descriptive statistics and correlation analysis of the main variables.
| Variables | Mean | Standard Deviation | Sample Size | 1 | 2 | 3 | 4 |
|---|---|---|---|---|---|---|---|
| Physical exercise | 2.881 | 1.352 | 619 | ||||
| Internet use | 4.544 | 0.756 | 619 | 0.126 ** | |||
| Social mentality | 10.181 | 1.966 | 619 | 0.033 | 0.042 | ||
| Life satisfaction | 2.253 | 0.826 | 619 | 0.093 * | 0.110 ** | 0.324 ** | |
| Subjective well-being | 88.762 | 11.793 | 619 | 0.105 ** | 0.147 ** | 0.307 ** | 0.423 ** |
Note: * p < 0.05, ** p < 0.01.
Mediation model of life satisfaction on the effect of physical exercise on subjective well-being.
| Result Variable | Predictor Variable | Fitting Index | Coefficient Significance | |||
|---|---|---|---|---|---|---|
|
|
|
| β |
| ||
| Subjective well-being | 0.307 | 0.0943 | 12.5951 ** | |||
| Age | 0.0697 | 1.5367 | ||||
| Gender | 0.1034 | 2.6344 ** | ||||
| Reading situation | 0.0545 | 1.2155 | ||||
| Health status | 0.2543 | 6.5001 ** | ||||
| Physical exercise | 0.1145 | 2.8704 ** | ||||
| Life satisfaction | 0.2557 | 0.0654 | 8.4681 ** | |||
| Age | −0.0104 | −0.2248 | ||||
| Gender | 0.2082 | 5.2200 ** | ||||
| Reading situation | −0.0046 | −0.1005 | ||||
| Health status | 0.1035 | 2.6047 ** | ||||
| Physical exercise | 0.0992 | 2.4476 * | ||||
| Subjective well-being | 0.4891 | 0.2392 | 31.6504 ** | |||
| Age | 0.0738 | 1.7732 | ||||
| Gender | 0.0214 | 0.5826 | ||||
| Reading situation | 0.0564 | 1.3689 | ||||
| Health status | 0.2136 | 5.9174 ** | ||||
| Life satisfaction | 0.3938 | 10.7264 ** | ||||
| Physical exercise | 0.0754 | 2.0517 * | ||||
Note: * p < 0.05, ** p < 0.01.
Mediation model of life satisfaction on the impact of internet use on subjective well-being.
| Result Variable | Predictor Variable | Fitting Index | Coefficient Significance | |||
|---|---|---|---|---|---|---|
|
|
|
| β |
| ||
| Subjective well-being | 0.315 | 0.0992 | 13.32521 ** | |||
| Age | 0.0515 | 1.1515 | ||||
| Gender | 0.1025 | 2.6225 ** | ||||
| Reading situation | 0.0441 | 0.9878 | ||||
| Health status | 0.2475 | 6.3179 ** | ||||
| Internet use | 0.1325 | 3.4045 ** | ||||
| Life satisfaction | 0.2579 | 0.0665 | 8.6246 ** | |||
| Age | −0.0262 | −0.5755 | ||||
| Gender | 0.2067 | 5.1923 ** | ||||
| Reading situation | −0.0133 | −0.2931 | ||||
| Health status | 0.099 | 2.4826 * | ||||
| Internet use | 0.1028 | 2.5941 ** | ||||
| Subjective well-being | 0.4921 | 0.2422 | 32.1699 ** | |||
| Age | 0.0618 | 1.5037 | ||||
| Gender | 0.0217 | 0.5904 | ||||
| Reading situation | 0.0494 | 1.2032 | ||||
| Health status | 0.2087 | 5.7757 ** | ||||
| Life satisfaction | 0.3914 | 10.6749 ** | ||||
| Internet use | 0.0923 | 2.5686 * | ||||
Note: * p < 0.05, ** p < 0.01.
Main effect, direct effect, and mediating effect.
| Relationship Path | Life Satisfaction |
|
|
| 95% CI | Effect Proportion | |
|---|---|---|---|---|---|---|---|
|
|
| ||||||
| Physical exercise → | Main effect | 0.1148 | 0.04 | 2.87 | 0.0042 | 0.0362 | 100% |
| Direct effect | 0.0756 | 0.0369 | 2.0517 | 0.0406 | 0.0032 | 65.9% | |
| Mediation effect | 0.0391 | 0.0165 | 0.0073 | 0.0711 | 34.1% | ||
| Internet use → | Main effect | 0.1373 | 0.0403 | 3.4045 | 0.0581 | 0.2164 | 100% |
| Direct effect | 0.0956 | 0.0372 | 2.5686 | 0.0105 | 0.0225 | 69.6% | |
| Mediation effect | 0.0417 | 0.0181 | 0.0094 | 0.0804 | 30.4% | ||
Test of the moderating effect of social mentality.
| Variable Name | Subjective Well-Being | Life Satisfaction | ||||||
|---|---|---|---|---|---|---|---|---|
|
|
|
|
|
|
|
|
| |
| Constant | −1.8466 | 0.3763 | −1.6673 | 0.3736 | −0.7526 | 0.427 | −0.5698 | 0.3988 |
| Independent variable | ||||||||
| Physical exercise | 0.0753 * | 0.036 | 0.0868 | 0.0385 * | ||||
| Internet use | 0.0975 *** | 0.0366 | 0.0952 * | 0.0389 | ||||
| Mediation variable | ||||||||
| Life satisfaction | 0.3401 *** | 0.0379 | 0.3381 *** | 0.0381 | ||||
| Adjustment variable | ||||||||
| Social mentality | 0.091 *** | 0.0189 | 0.0896 *** | 0.0189 | 0.1484 | 0.0194 *** | ||
| Interaction item | ||||||||
| Physical exercise * | 0.0538 *** | 0.0179 | 0.0219 | 0.0191 | ||||
| Internet use * | 0.0337 * | 0.0165 | 0.0284 | 0.0176 | ||||
| Control variable | ||||||||
| Age | 0.0165 | 0.011 | 0.013 | 0.0109 | −0.0081 | 0.0118 | −0.0121 | 0.0116 |
| Gender | 0.0129 | 0.0728 | 0.014 | 0.0728 | 0.3319 *** | 0.077 | 0.3278 *** | 0.0767 |
| Reading situation | 0.0539 | 0.0336 | 0.0527 | 0.0337 | 0.0085 | 0.036 | 0.0058 | 0.036 |
| Health status | 0.2734 *** | 0.0457 | 0.256 *** | 0.046 | 0.1073 * | 0.0489 | 0.0955 * | 0.049 |
|
| 0.276 | 0.2729 | 0.1491 | 0.1517 | ||||
|
| 28.6815 | 28.2423 | 15.1001 | 15.4053 | ||||
Note: * p < 0.05, *** p < 0.001.
Moderating effects of social mentality.
| Variable | Social Mentality | Effect | BootSE | BootLLCI | BootULCI |
|---|---|---|---|---|---|
| Moderated mediating effect | eff 1(M − 1SD) | 0.0133 | 0.0231 | −0.0319 | 0.059 |
| eff 2(M) | 0.0282 | 0.0138 | 0.0008 | 0.0555 | |
| eff 3(M + 1SD) | 0.0431 | 0.0162 | 0.011 | 0.0753 | |
| Moderated mediating effect | eff 1(M − 1SD) | 0.0113 | 0.0215 | −0.0214 | 0.0634 |
| eff 2(M) | 0.0305 | 0.0157 | 0.0049 | 0.0659 | |
| eff 3(M + 1SD) | 0.0497 | 0.0226 | 0.0093 | 0.0991 |
Figure 2Mechanisms of physical exercise and internet use on youth subjective well-being. *** p < 0.001.