The relationship between psychosocial risk factors, burnout and quality of life among primary healthcare workers in rural Guangdong province: a cross-sectional study

Table 6 Forward stepwise regression analysis of risk factors impacting on poor quality of life in the physical, psychological, social and environmental domains

Dependent variables	Scales	Beta	95% CI for B		R²	P value
Dependent variables	Scales	Beta	Lower bound	Upper bound	R²	P value
Physical Health	Burnout	−0.570	−0.228	− 0.117	0.673	< 0.001
	Degree of freedom	−0.521	−0.136	− 0.062		< 0.001
	Marital status	−0.469	−9.670	−4.031		< 0.001
	Role clarity	0.455	0.082	0.203		< 0.001
Psychological health	Sense of community	−0.698	−0.345	−0.185	0.716	< 0.001
	Education	0.237	0.664	4.125	0.716	0.008
	Social relations	0.401	0.089	0.223		< 0.001
	Emotional demands	0.272	0.035	0.154		0.003
	Burnout	−0.258	−0.148	−0.019		0.012
Social Domain	Possibility for development	−2.849	−0.921	−0.498	0.617	< 0.001
	Quality of leadership	1.454	0.188	0.409		< 0.001
	Social support	1.512	0.342	0.734		< 0.001
Environment Domain	Role conflicts	−0.798	−0.366	−0.233	0.607	< 0.001
	Emotional demands	0.445	0.082	0.192		< 0.001
	Salary	−0.450	−0.026	−0.013		< 0.001
	Work conflict	−0.326	−0.155	− 0.044		0.001
	Predictability	0.594	0.091	0.177		< 0.001
	Job satisfaction	−0.353	− 0.225	− 0.051		0.002
	Intention to leave	−0.302	− 0.118	− 0.039		< 0.001
	Possibilities for development	−0.460	−0.196	− 0.090		< 0.001
	Degree of freedom	0.344	0.032	0.115		0.001
	Quality of leadership	−0.336	−0.120	−0.028		0.002

*: Statistical significance p < 0.05; R², Proportion of the variance explained by the model. Lower scores (i.e. lower quartile) for each of the four domains were considered as poor quality of life

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