Burnout and well-being of healthcare workers in the post-pandemic period of COVID-19: a perspective from the job demands-resources model

Zhou, Ting; Xu, Changshun; Wang, Cunliang; Sha, Sha; Wang, Zhe; Zhou, You; Zhang, Xinran; Hu, Die; Liu, Yinqi; Tian, Tengfei; Liang, Sixiang; Zhou, Li; Wang, Qian

doi:10.1186/s12913-022-07608-z

Table 4 Results of hierarchical multiple regressions

From: Burnout and well-being of healthcare workers in the post-pandemic period of COVID-19: a perspective from the job demands-resources model

Depended variable	Independent variable	step 1		step 2			step 3			step 4			step 5			step 6
Depended variable	Independent variable	R²	β	R²	ΔR²	β	R²	ΔR²	β	R²	ΔR²	β	R²	ΔR²	β	R²	ΔR²	β
Anxiety	Age	.01^**	.14^*	.012	.001	.143^*	.016	.004^**	.148^**	.134	.118^**	.114^*	.170	.036^**	.117^*	.174	.004^**	.114^*
	Work year		−.04^*			−.048			−.060			−.080			−.083			−.077
	Gender		.04^*			.035^*			.030			.038^*			.046^**			.044^**
	Career 1		−.05^*			−.051^*			−.052^**			−.032			−.033			−.035
	Career 2		−.02			−.029			−.027			−.026			−.034			−.038
	Career 3		−.03			−.031			−.010			.009			.018			.013
	JER					.031			.021			.011			.011			.012
	FEW 1								−.069^**			−.040^*			−.025			−.026
	FWE 2								.011			.023			.028			.029
	Stressor											.352^**			.267^**			.274^**
	OS														−.039^*			−.037
	SS														−.187^**			−.185^**
	SS × Stressor																	−.049^**
	OS×Stressor																	−.025
Depression	Age	.010^**	.112^*	.011	.001^*	.116^*	.014	.003^**	.120^*	.142	.128^**	.085	.186	.045^**	.091	.193	.007^**	.086
	Work year		−.014			−.019			−.029			−.050			−.054			−.047
	Gender		.036^*			.035^*			.031			.039^*			.048^**			.046^**
	Career 1		−.039			−.039^*			−.040^*			−.020			−.020			−.022
	Career 2		.003			−.002			−.001			.001			−.009			−.014
	Career 3		−.016			−.014			.004			.024			.036			.029
	JER					.039^*			.031			.021			.021			.022
	FWE 1								−.059^**			−.029			−.011			−.013
	FWE 2								.012			.024			.030			.032^*
	Stressor											.366^**			.268^**			.276^**
	OS														−.062^**			−.060^**
	SS														−.197^**			−.194^**
	SS × Stressor																	−.056^**
	OS×Stressor																	−.042^*
Burnout	Age	.005^**	−.030	.005	.000	−.030	.012	.007^**	−.020	.310	.298^**	−.075	.511	.201^**	−.044	.514	.003	−.040
	Work year		.044			.043			.027			.000			−.023			−.028
	Gender		.033			.032			.023			.035^*			.050^**			.052^**
	Career 1		−.088^**			−.088^**			−.091^**			−.058^**			−.051^**			−.049^**
	Career 2		−.035			−.036			−.036			−.035			−.052^**			−.048^**
	Career 3		−.048			−.048			−.018			.014			.044^*			.047^*
	JER					−.007			−.006			−.02^**			−.022^**			−.022
	FWE 1								−.085^**			.038^*			.002			.004
	FWE 2								−.035^*			.014			.004			.003
	Stressor											.56^**			.337^**			.329^**
	OS														−.365^**			−.368^**
	SS														−.209^**			−.213^**
	SS × Stressor																	.041^**
	OS×Stressor																	.018

Note. Career 1- Career 3 were dummy variables of professions; FWE 1 and FWE 2 were dummy variables of FWE (frontline working experience), FWE1 = whether medical rescue team members in Beijing epidemics, FWE2 = whether assigned to Hubei during the outbreak period
JER Job exposure risk, OS Organization Support, SS Social Support
^*p < 0.05
^**p < 0.01

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ISSN: 1472-6963

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