Table 2.

Sleep-diary-determined sleep predicting next-day stressor severity

	Next-day stressor severity
Predictors	β	95% CI	p
(Intercept)	1.72	1.49 to 1.95	<.001
Total sleep time	0.04	−0.07 to 0.16	.459
Age	0.01	−0.01 to 0.02	.398
Gender	0.10	−0.16 to 0.36	.448
Weekday	−0.08	−0.32 to 0.16	.500
Random effects
σ 2	0.38
τ 00 id	0.02
N id	52
Observations	128
(Intercept)	1.72	1.48 to 1.96	<.001
Sleep efficiency	−0.00	−0.03 to 0.02	.742
Age	0.01	−0.01 to 0.02	.379
Gender	0.09	−0.17 to 0.35	.479
Weekday	−0.06	−0.30 to 0.17	.594
Random effects
σ 2	0.38
τ 00 id	0.03
N id	52
Observations	128
(Intercept)	1.73	1.49 to 1.96	<.001
Wake after sleep onset	0.01	0.00 to 0.01	.026
Age	0.01	−0.01 to 0.02	.306
Gender	0.08	−0.18 to 0.34	.537
Weekday	−0.07	−0.30 to 0.16	.531
Random effects
σ 2	0.36
τ 00 id	0.03
N id	52
Observations	128
(Intercept)	1.72	1.49 to 1.95	<.001
Sleep onset latency	−0.01	−0.02 to 0.00	.305
Age	0.01	−0.01 to 0.02	.381
Gender	0.10	−0.15 to 0.36	.429
Weekday	−0.09	−0.33 to 0.15	.456
Random effects
σ 2	0.38
τ 00 id	0.02
N id	52
Observations	128

Table denotes unstandardized β weights for predictors. Bold values indicate p < .05 significant effects. 95% CI = 95% confidence intervals for each predictor. σ ² represents Level 1 variance (within person), τ ₀₀ represents Level 2 variance (between person). Day of the week is coded as 0 = weekday, 1 = weekend. Gender is coded as 0 = male, 1 = female. Each block in the table represents a separate regression model.