Table 2 The relationship between circadian disruption measures and daily mood analyzed using linear mixed-effect modeling

	Predictors	beta	z-statistics	Pr(>\|z \| )	95% C.I
Disruption vs next day mood
Before internship	CRCO misalignment	−0.014	−2.292	0.022	[−0.027, −0.002]
	CRPO misalignment	−0.018	−5.261	< 0.001	[−0.025, −0.011]
	Internal misalignment	−0.018	−6.182	< 0.001	[−0.024, −0.012]
During internship	CRCO misalignment	−0.013	−6.510	< 0.001	[−0.017, −0.009]
	CRPO misalignment	−0.011	−7.441	< 0.001	[−0.015, −0.008]
	Internal misalignment	−0.009	−7.255	< 0.001	[−0.012, −0.017]
Mood vs next day disruption
Before internship	Mood (vs CRCO)	−0.059	−3.958	< 0.001	[−0.088, −0.030]
	Mood (vs CRPO)	−0.081	−2.995	0.003	[−0.134, −0.028]
	Mood (vs Internal)	−0.118	−3.585	< 0.001	[−0.182, −0.053]
During internship	Mood (vs CRCO)	−0.053	−4.671	< 0.001	[−0.075, −0.031]
	Mood (vs CRPO)	−0.082	−5.713	< 0.001	[−0.110, −0.054]
	Mood (vs Internal)	−0.168	−9.450	< 0.001	[−0.202, −0.133]

The association between current day circadian disruption and next day mood score before and during the internship was analyzed after accounting for the repeated measurements from the same subject and demographic and geographic information using linear mixed-effects models. The same analysis was repeated between current day mood and next day circadian disruption. Here, we report the beta estimate, its 95% confidence intervals (C.I.), and the p-value.

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