Table 2.
Regression results of digital health literacy on Chinese youth health status.
| Variable | Digital health literacy | ||
|---|---|---|---|
| Model 1 | Model 2 | Model 3 | |
| Health condition | 0.219*** (0.080) | 0.192** (0.079) | 0.210*** (0.080) |
| Gender | −0.675*** | −0.663*** | |
| (0.164) | (0.169) | ||
| Marital status | −0.094 | −0.072 | |
| (0.168) | (0.177) | ||
| Education level | 0.244 | 0.263 | |
| (0.172) | (0.179) | ||
| Registered residence | 0.016 | −0.008 | |
| (0.168) | (0.171) | ||
| Political status | −0.145 | ||
| (0.304) | |||
| Work situation | −0.005 | ||
| (0.173) | |||
| Economic situation | 0.264 | ||
| (0.178) | |||
| Constant | 6.839*** | 7.117*** | 6.886*** |
| (0.221) | (0.278) | (0.322) | |
| Province | Yes | Yes | Yes |
| t | 2.751 | 2.430 | 2.617 |
| DW | 1.975 | ||
| β | 0.110 | 0.097 | 0.105 |
| F | 7.571*** | 5.560*** | 3.769*** |
| R2 | 0.012 | 0.044 | 0.047 |
**p < 0.05, ***p < 0.01; Robust standard error in brackets.