Table 2. Summary of models for the relationship between sleep and CVD risk score, controlling for age .

Model 1 (R2=0.08)		coeff	se	t	p	LLCI	ULCI
	Constant	3.21	0.50	6.47	<0.001	2.22	4.17
	Age	0.03	0.01	4.83	<0.001	0.02	0.05
	Work day sleep	−0.16	0.07	−2.49	0.013	−0.29	−0.03
Model 2 (R2=0.10)
	Constant	7.37	2.35	3.14	0.002	2.75	11.98
	Age	0.03	0.01	4.82	<0.001	0.02	0.05
	Work day sleep	−0.94	0.39	-2.41	0.016	−1.71	−0.17
	Days off sleep	−0.50	0.28	-1.80	0.072	−1.05	0.05
	Work day sleep*day off sleep	0.09	0.05	1.99	0.047	0.00	0.18
Conditional effect of x on y at:
	Days off sleep=6.96 (mean−1SD)	−0.30	0.09	−3.24	0.001	−0.48	−0.12
	Days off sleep=8.17 (mean)	−0.19	0.07	−2.76	0.006	−0.32	−0.05
	Days off sleep=9.38 (mean+1SD)	−0.08	0.08	−0.91	0.361	−0.24	0.09

Lower panel displays simple point estimates of the effect of work day sleep on CVD risk score at the mean ± standard deviation of day off sleep to illustrate the work day sleep*days off sleep interaction effect. coeff: model coefficient; se: standard error, LLCI: lower limit 95% confidence interval; ULCI: upper limit 95% confidence interval; SD: standard deviation.