Table 4.
Predicting general health at Time 3 from uses of the Internet at Time 1, controlling for demographic variables and prior health
| Predicting General Health | ||||
| Independent variables | Beta | SE | t | P |
| Intercept | 3.702 | .081 | 45.940 | .000 |
| Male (0=female; 1=male) | .010 | .045 | .220 | .829 |
| Age | -.079 | .026 | -3.020 | .003 |
| White (0=minority; 1=white) | .160 | .079 | 2.030 | .045 |
| Married (0=not married; 1=married) | -.069 | .051 | -1.340 | .181 |
| Education | .046 | .026 | 1.760 | .080 |
| Income | .091 | .025 | 3.570 | .000 |
| General health (time 1) | .660 | .021 | 32.160 | .000 |
| Internet: friends & family | .019 | .024 | .810 | .418 |
| Internet: meet people | -.029 | .028 | -1.060 | .294 |
| Internet: information | .006 | .029 | .190 | .850 |
| Internet: entertainment/escape | .007 | .029 | .230 | .818 |
| Internet: shopping | .003 | .030 | .100 | .920 |
| Internet: health | -.028 | .029 | -.970 | .336 |
| R-squared | .439 | |||