Table 4.
The results from mediation analysis using a bootstrapping method for general sleep status
| Dependent variable | Independent Variable# | Beta coefficient | SE | t | p | R2 | p |
|---|---|---|---|---|---|---|---|
| IU | Constant | 19.434 | 2.54 | 7.64 | < 0.001** | 0.26 | < 0.001** |
| Uncertainty about COVID-19 | 0.642 | 0.02 | 27.48 | ||||
| Perceived stress | Constant | 24.991 | 2.07 | 12.09 | < 0.001** | 0.31 | < 0.001** |
| IU | 0.397 | 0.02 | 23.25 | < 0.001** | |||
| Uncertainty about COVID-19 | 0.125 | 0.02 | 5.75 | < 0.001** | |||
| General sleep status | Constant | 3.723 | 0.95 | 3.92 | < 0.001** | 0.14 | < 0.001** |
| Perceived stress | 0.119 | 0.01 | 12.57 | < 0.001** | |||
| IU | 0.014 | 0.01 | 1.61 | 0.11 | |||
| Uncertainty about COVID-19 | 0.013 | 0.01 | 1.33 | 0.19 |
# All models were adjusted for infection, quarantine status, and demographic characteristics, such as age, ethnicity, residence, marriage. Bootstrapping = 5000; * < 0.05; ** < 0.01