Table 4.
Multivariable linear regression determining the association between sleep variables and mood change during COVID-19.
| B | 95% CI | Adjusted R2 | B | 95% CI | Adjusted R2 | |
|---|---|---|---|---|---|---|
| Intercept | –2.39 | –3.36 to –1.41 | 0.043 | –1.97 | –3.37 to –0.576 | 0.087 |
| Age | 0.004 | –0.006 to 0.014 | 0.004 | –0.006 to 0.013 | ||
| Sex | 0.151 | –0.163 to 0.466 | 0.170 | –0.139 to 0.479 | ||
| Frontline worker | 0.426 | 0.119 to 0.734 | 0.298 | –0.043 to 0.578 | ||
| Working from home | –0.080 | –0.349 to 0.190 | –0.050 | –0.314 to 0.214 | ||
| Increased screen use before bed | 0.232 | –0.014 to 0.477 | 0.212 | –0.027 to 0.452 | ||
| Before stay-at-home TST | –0.175 | –0.308 to –0.043 | ||||
| After stay-at-home TST | 0.161 | 0.079 to 0.243 |
CI = confidence interval, TST = total sleep time.