Table 3 Results of the Multiple Regression Analyses where age, sex, income, marital status, education, employment status and type of gaming [with non-problematic gaming, sex (male), age (18–24), education (bachelor), income (low), marital status (single) and employment status (student only) used as reference categories for each variables) were regressed upon the neuropsychiatric diseases. Model 1: multiple linear analysis with insomnia as dependent variable. Model 2: multiple linear analysis with excessive daytime sleepiness as dependent variable. Model 3: multiple linear analysis with anxiety as dependent variable. Model 4: multiple linear analyses with depression as dependent variable. B = unstandardized regression coefficient. β = standardized regression coefficient. SE = standard error. t = t-test statistic. Sig. = Significance level (p-value), *p < 0.05. **p < 0.01. ***p < 0.001. ΔR2 = change in variance. F = statistic of Fisher.
Model 1: Prediction of Insomnia | |||||||||
---|---|---|---|---|---|---|---|---|---|
Model summary | 95% Confidence Interval | Precision of prediction | |||||||
Variables | B | SE | β | t | Sig. | Lower Bound | Upper Bound | ΔR2 | F |
Type of Gamers | 0.89 | (25, 10541) = 251.87, p <0.001 | |||||||
Engaged | 0.861 | 0.002 | 0.23 | 9.748 | 0.523 | −0.21 | 2.458 | ||
Problematic | 5.984 | 1.007 | 0.72 | 53.416 | 0.000*** | 0.798 | 3.862 | ||
Addicted | 10.608 | 3.086 | 1.8 | 70.975 | 0.000*** | 1.153 | 4.936 | ||
Sex | |||||||||
Female | 0.842 | 0.26 | 0.09 | 12.406 | 0.692 | −0.263 | 2.074 | ||
Age | |||||||||
24–30 | 2.785 | 1.005 | 0.752 | 29.741 | 0.000*** | 0.876 | 3.429 | ||
30–36 | −0.807 | 0.48 | −0.09 | −10.118 | 0.000*** | 0.785 | 3.478 | ||
36–42 | −1.487 | 1.044 | −0.148 | −14.769 | 0.023* | 0.805 | 4.789 | ||
42–48 | 1.472 | 0.945 | 0.153 | 12.337 | 0.92 | 0.189 | 1.967 | ||
Education (degree) | |||||||||
Master | 0.062 | 0.041 | 0.005 | 6.314 | 0.741 | 0.231 | 2.486 | ||
Doctorate | 0.201 | 0.06 | 0.002 | 2.078 | 0.433 | 0.199 | 2.981 | ||
Postdoctorate | 1.178 | 1.031 | 0.08 | 11.723 | 0.032* | 0.742 | 3.476 | ||
Income | |||||||||
Middle | 0.412 | 0.87 | 0.04 | 4.259 | 0.289 | 0.179 | 2.008 | ||
High | 2.486 | 1.11 | 0.347 | 24.842 | 0.000*** | 0.832 | 3.796 | ||
Marital status | |||||||||
Engaged | 2.442 | 0.474 | 0.23 | 24.547 | 0.000*** | 0.745 | 4.018 | ||
Married | −6.475 | 1.007 | −0.483 | −12.145 | 0.000*** | 0.915 | 4.903 | ||
Employment status | |||||||||
Employed | −0.475 | 1.42 | −0.041 | −1.347 | 0.412 | 0.261 | 2.978 | ||
Student & employed | −12.91 | 2.742 | −0.263 | −11.847 | 0.000*** | 0.974 | 5.949 | ||
Model 2: Prediction of Excessive Daytime Sleepiness | |||||||||
Type of Gamers | 0.84 | (25, 10541) = 184.87, p <0.001 | |||||||
Engaged | 0.783 | 0.072 | 0.248 | 7.956 | 0.087 | 0.196 | 1.987 | ||
Problematic | 1.874 | 1.094 | 0.189 | 18.016 | 0.000*** | 0.922 | 2.824 | ||
Addicted | 4.588 | 1.796 | 0.387 | 30.725 | 0.000*** | 1.135 | 4.328 | ||
Sex | |||||||||
Female | 0.719 | 0.417 | 0.032 | 7.194 | 0.108 | 0.263 | 1.792 | ||
Age | |||||||||
24–30 | 2.105 | 0.746 | 0.218 | 21.075 | 0.000*** | 0.967 | 3.897 | ||
30–36 | −0.484 | 0.543 | −0.049 | −40.88 | 0.000*** | 1.685 | 5.694 | ||
36–42 | −0.845 | 1.044 | −0.848 | −8.769 | 0.000*** | 0.495 | 2.897 | ||
42–48 | −1.197 | 0.945 | −0.198 | −12.649 | 0.076 | −0.189 | 3.423 | ||
Education (degree) | |||||||||
Master | 0.427 | 0.596 | 0.043 | 4.379 | 0.742 | 0.171 | 1.869 | ||
Doctorate | −0.201 | 0.095 | −0.798 | −2.706 | 0.291 | 0.149 | 2.001 | ||
Postdoctorate | −1.468 | 1.207 | −0.248 | −15.72 | 0.000*** | 0.959 | 2.796 | ||
Income | |||||||||
Middle | 1.236 | 0.478 | 0.119 | 12.462 | 0.642 | 0.179 | 1.908 | ||
High | 1.487 | 0.984 | 0.157 | 14.985 | 0.000*** | 0.872 | 2.965 | ||
Marital status | |||||||||
Engaged | −2.442 | 1.706 | −0.246 | −24.547 | 0.000*** | 1.008 | 3.804 | ||
Married | −2.713 | 1.007 | −0.272 | −20.241 | 0.000*** | 1.207 | 3.429 | ||
Employment status | |||||||||
Employed | −0.489 | 1.42 | −0.048 | −1.347 | 0.238 | 0.324 | 2.978 | ||
Student & employed | −2.914 | 2.742 | −0.263 | −29.85 | 0.000*** | 1.004 | 3.084 | ||
Model 3: Prediction of Anxiety | |||||||||
Type of Gamers | 0.83 | (25, 10541) = 212.96, p <0.001 | |||||||
Engaged | 0.964 | 0.078 | 0.092 | 9.269 | 0.059 | 0.216 | 1.872 | ||
Problematic | 2.297 | 1.164 | 0.238 | 20.916 | 0.000*** | 1.102 | 2.862 | ||
Addicted | 4.895 | 1.089 | 0.574 | 48.804 | 0.000*** | 1.078 | 4.068 | ||
Sex | |||||||||
Female | 0.891 | 0.472 | 0.09 | 8.805 | 0.000*** | 0.963 | 2.925 | ||
Age | |||||||||
24–30 | 2.938 | 1.005 | 0.294 | 29.741 | 0.000*** | 1.207 | 3.764 | ||
30–36 | 2.307 | 0.48 | 0.237 | 20.358 | 0.207 | −0.285 | 2.004 | ||
36–42 | 0.876 | 0.8 | 0.184 | 8.469 | 0.086 | 0.308 | 2.802 | ||
42–48 | 2.898 | 1.538 | 0.192 | 28.537 | 0.000*** | 0.99 | 3.839 | ||
Education (degree) | |||||||||
Master | 0.062 | 0.041 | 0.005 | 6.314 | 0.742 | 0.241 | 1.487 | ||
Doctorate | 0.201 | 0.06 | 0.0018 | 2.078 | 0.291 | 0.202 | 2.381 | ||
Postdoctorate | 1.178 | 1.031 | 0.08 | 11.723 | 0.000*** | 0.769 | 2.796 | ||
Income | |||||||||
Middle | 1.694 | 1.035 | 0.168 | 17.321 | 0.000*** | 1.108 | 3.185 | ||
High | 2.194 | 0.839 | 0.227 | 21.842 | 0.095 | 0.281 | 2.062 | ||
Marital status | |||||||||
Engaged | −2.429 | 1.338 | −0.243 | −0.243 | 0.000*** | 0.946 | 3.948 | ||
Married | −2.906 | 0.943 | −0.291 | −0.291 | 0.000*** | 1.078 | 3.197 | ||
Employment status | |||||||||
Employed | 0.275 | 0.45 | 0.027 | 1.347 | 0.238 | 0.229 | 2.978 | ||
Student & employed | 2.164 | 1.5 | 0.216 | 20.335 | 0.000*** | 0.998 | 3.907 | ||
Model 4: Prediction of Depression | |||||||||
Type of Gamers | 0.76 | (25, 10541) = 214.48, p <0.001 | |||||||
Engaged | 1.789 | 1.325 | 0.178 | 17.906 | 0.083 | 0.218 | 2.108 | ||
Problematic | 2.294 | 1.007 | 0.231 | 23.065 | 0.000*** | 0.985 | 3.893 | ||
Addicted | 3.476 | 1.35 | 0.348 | 30.196 | 0.000*** | 1.203 | 4.036 | ||
Sex | |||||||||
Female | 0.734 | 0.276 | 0.073 | 7.351 | 0.004** | 0.867 | 2.869 | ||
Age | |||||||||
24–30 | 1.621 | 1.603 | 0.162 | 16.227 | 0.073 | 0.376 | 2.272 | ||
30–36 | 0.679 | 0.125 | 0.072 | 6.845 | 0.176 | 0.185 | 2.728 | ||
36–42 | 1.117 | 0.698 | 0.112 | 11.18 | 0.045* | 0.795 | 3.787 | ||
42–48 | 0.987 | 0.267 | 0.1 | 9.922 | 0.026* | 0.708 | 2.978 | ||
Education (degree) | |||||||||
Master | 0.937 | 0.594 | 0.092 | 9.297 | 0.742 | 0.197 | 2.872 | ||
Doctorate | 0.489 | 0.138 | 0.048 | 4.902 | 0.291 | 0.249 | 2.488 | ||
Postdoctorate | 0.776 | 0.255 | 0.077 | 7.729 | 0.7 | 0.742 | 3.476 | ||
Income | |||||||||
Middle | 1.497 | 1.012 | 0.148 | 14.972 | 0.695 | 0.209 | 2.462 | ||
High | 1.634 | 1.106 | 0.164 | 16.346 | 0.678 | 0.232 | 2.007 | ||
Marital status | |||||||||
Engaged | −0.972 | 0.268 | −0.092 | −9.478 | 0.000*** | 1.092 | 3.178 | ||
Married | −1.798 | 1.161 | −0.176 | −17.7 | 0.000*** | 1.115 | 2.903 | ||
Employment status | |||||||||
Employed | 1.763 | 1.045 | 0.175 | 17.658 | 0.238 | 0.261 | 2.978 | ||
Student & employed | 1.874 | 1.428 | 0.185 | 18.678 | 0.006** | 0.874 | 5.949 |