Table 6.

Hierarchical linear regression models for workplace well-being

Variables	Perceived stress		Burnout		Well-being
	M7(β)	M8(β)	M9(β)	M10(β)	M11(β)	M12(β)
Control variables
Age	−0.114	−0.100	−0.016	−0.002	0.089	0.068
Sex	−0.072*	−0.050	− 0.118**	−0.096**	0.125***	0.092**
Marital status	0.094*	0.087*	0.037	0.030	0.030	0.040
Service Years	0.022	0.015	−0.050	−0.058	0.011	0.022
Hospital level	0.025	0.040	−0.020	−0.006	− 0.012	−0.033
Education level	−0.009	−0.026	0.026	0.010	0.011	0.035
Professional title	0.057	0.038	0.028	0.009	−0.179**	− 0.151*
Monthly income	−0.106**	− 0.072*	−0.131***	− 0.098**	0.179***	0.130***
Independent variable
Self-perceived professional reputation damage		0.214***		0.209***		−0.311***
F	2.703**	6.776***	3.726***	7.549***	6.442***	16.201***
R2	0.025**	0.068***	0.035***	0.075***	0.058***	0.149***
△R2	0.025**	0.043***	0.035***	0.041***	0.058***	0.091***

Notes-M_7, M_9,M₁₁: the influence of demographic variables on the Perceived stress, Burnout and Well-being; M_8,M_10,M₁₂: the influence of Self-perceived professional reputation damage on the Perceived stress, Burnout and Well-being; Notes-hierarchical linear regression ^* p < 0.05 (2-tailed), ^** p < 0.01 2-tailed), ^*** p < 0.001 (2-tailed)