Table 3.

Coefficients of multiple linear regression of surface acting, hair cortisol content, and their interaction against Copenhagen job burnout (n = 229).

	Independent variable	Personal burnout				Work-related burnout				Client-related burnout
	Predictive variable	ΔR2	β	B	SE	ΔR2	β	B	SE	ΔR2	β	B	SE
Step 1	Demographic variablesa	0.120∗∗				0.095∗∗				0.127∗∗
	ICU		0.227∗	11.912	4.955		0.185∗	9.391	4.871		0.262∗∗	12.377	4.446
	EICU		0.167	12.926	6.350		0.105	7.890	6.241		0.059	4.121	5.697
	Emergency		0.408∗∗	18.454	4.373		0.286∗∗	12.515	4.298		0.361∗∗	14.683	3.923
	Radiotherapy		0.062	5.153	6.295		-0.015	-1.227	6.188		-0.075	-5.647	5.648
	Rehabilitation		0.090	5.141	4.958		0.035	1.971	4.873		0.132	6.837	4.448
	Shift pattern		0.130	7.543	4.067		0.148	8.349	3.998		0.057	2.998	3.649
	Working duration		0.045	0.152	0.220		-0.005	-0.016	0.216		0.132∗	0.400	0.198
Step 2	Surface acting	0.028∗∗	0.173∗∗	5.701	2.111	0.057∗	0.245∗∗	7.831	2.042	0.018∗∗	0.291∗∗	8.673	1.834
Step 3	HCCb	0.013	-0.118	-7.366	3.944	0.000	-0.018	-1.029	3.844	0.000	-0.011	-0.644	3.453
Step 4	SA×HCCc	0.016∗	0.127∗	12.251	6.040	0.004	0.062	5.821	5.930	0.001	0.035	3.028	5.335

Notes: ^∗p < 0.05, ^∗∗p < 0.01, and ^∗∗∗p < 0.001. ^aThe same coding as Table 2. ^bHCC referred to hair cortisol content. ^cSA×HCC referred to the interaction between surface acting and hair cortisol content.