Table 3.

Hierarchical regression of psychological distress on health, demographic, and sleep characteristics and the interaction between poor sleep and resilience factors (N = 1117).

Block	Predictor variable	B	SE (B)	β	Adj R2	ΔR2	F	p
Block 1					0.125	0.128	40.5	< 0.001
	Age	−0.008	0.001	−0.180*
	Gender	−0.067	0.034	−0.056
	Race (reference: White)	−0.012	0.026	−0.014*
	Health status	0.092	0.007	0.372
Block 2					0.152	0.028	40.9	< 0.001
	Age	−0.006	0.001	−0.146*
	Gender	−0.030	0.034	−0.026
	Race (reference: White)	−0.042	0.026	−0.045
	Health status	0.090	0.007	0.363*
	Combat exposure	0.009	0.001	0.177*
Block 3					0.312	0.159	84.7	< 0.001
	Age	−0.006	0.001	−0.131*
	Gender	−0.044	0.031	−0.037
	Race (reference: White)	−0.003	0.024	−0.003
	Health status	0.061	0.007	0.007*
	Combat exposure	0.006	0.001	0.001*
	PSQI total score	0.048	0.003	0.003*
Block 4					0.431	0.120	106.0	< 0.001
	Age	−0.004	0.001	−0.101*
	Gender	−0.029	0.028	−0.024
	Race	0.003	0.022	0.004
	Health status	0.056	0.006	0.227*
	Combat exposure	0.007	0.001	0.134*
	PSQI total score	0.039	0.003	0.334*
	Resilience: Adaptability	−0.023	0.003	−0.225*
	Resilience: Self-efficacy	−0.016	0.004	−0.126*
Block 5					0.452	0.023	84.3	< 0.001
	Age	−0.005	0.001	−0.104*
	Gender	−0.026	0.028	−0.0224
	Race	0.002	0.022	0.002
	Health status	0.055	0.006	0.221*
	Combat exposure	0.006	0.001	0.127*
	PSQI total score	0.147	0.014	1.272*
	Resilience: Adaptability	−0.005	0.006	−0.055
	Resilience: Self-Efficacy	−0.003	0.009	−0.026
	Sleep × Adaptability	−0.003	0.001	−0.718**
	Sleep × Self-Efficacy	−0.004	0.001	−0.505**
	Sleep × Adaptability × Self-Efficacy	0.00006	0.000	0.306

^**p < 0.05,

^*p < 0.001