Table 1 The relationship between circadian disruption measures and daily mood analyzed using a generalized estimating equation
From: The real-world association between digital markers of circadian disruption and mental health risks
|  | Predictors | beta | z-statistics | Pr(>|z | ) | 95% C.I |
|---|---|---|---|---|---|
Disruption vs next day mood | |||||
Before internship | CRCO misalignment | −0.014 | −2.134 | 0.033 | [−0.027, −0.001] |
CRPO misalignment | −0.017 | −4.704 | < 0.001 | [−0.024, −0.010] | |
Internal misalignment | −0.017 | −5.240 | < 0.001 | [−0.024, −0.011] | |
During internship | CRCO misalignment | −0.013 | −4.859 | < 0.001 | [−0.018, −0.008] |
CRPO misalignment | −0.010 | −5.160 | < 0.001 | [−0.014, −0.006] | |
Internal misalignment | −0.008 | −5.239 | < 0.001 | [−0.012, −0.005] | |
Mood vs next day disruption | |||||
Before internship | Mood (vs CRCO) | −0.060 | −3.236 | 0.001 | [−0.097, −0.024] |
Mood (vs CRPO) | −0.080 | −2.668 | 0.008 | [−0.138, −0.021] | |
Mood (vs Internal) | −0.116 | −3.188 | 0.001 | [−0.188, −0.045] | |
During internship | Mood (vs CRCO) | −0.053 | −3.252 | 0.001 | [−0.085, −0.021] |
Mood (vs CRPO) | −0.077 | −3.645 | < 0.001 | [−0.119, −0.036] | |
Mood (vs Internal) | −0.164 | −6.778 | < 0.001 | [−0.212, −0.117] | |
