Table 3.
Supplementary regression models investigating measures of sleep quality
| Dependent variable | |||
|---|---|---|---|
| Adverse driving | |||
| (1) | (2) | (3) | |
| (Intercept) | −1.601*** (0.153) | −1.599*** (0.166) | −1.819*** (0.233) |
| Sleep efficiency | 0.008 (0.105) | ||
| Total sleep time, min | 0.047 (0.105) | ||
| Daytime sleepiness | 0.032 (0.026) | ||
| t-Tau/Aβ 42+ | −0.462* (0.208) | −0.457* (0.211) | −0.460* (0.210) |
| Age | −0.062* (0.027) | −0.062* (0.027) | −0.065* (0.027) |
| Sex (F vs. M) | 0.051 (0.198) | 0.038 (0.216) | 0.057 (0.203) |
| Education | −0.137 (0.106) | −0.133 (0.110) | −0.135 (0.109) |
| t-Tau/Aβ 42+:Age | 0.105* (0.045) | 0.104* (0.045) | 0.112* (0.044) |
| Observations | 119 754 | 119 754 | 119 754 |
| Log likelihood | −51 487.670 | −51 487.570 | −51 486.960 |
*p < 0.05.
** p < 0.01.
*** p < 0.001.