Table 2.

Hierarchical binary logistic regression on potential variables associated with burnout in physicians from a cancer hospital

Variables	Block 1a		Block 2a		Block 3a		Block 4a
	OR	p-value	OR	p-value	OR	p-value	OR	p-value
Block 1 - Physician characteristics
Age; years	0.959	0.041	0.952	0.104	0.958	0.236	0.946	0.134
Optimistic personality
Optimist	1.000		1.000		1.000		1.000
Neither optimist nor pessimist	1.681	0.080	1.773	0.070	1.708	0.147	1.643	0.200
Pessimist	5.160	0.044	5.348	0.051	6.400	0.052	7.601	0.036
Gender (male)	0.729	0.290	0.857	0.663	1.196	0.637	1.418	0.380
Income (Brazilian reais)
< 10.999	1.000		1.000		1.000
11.000–19.999	1.047	0.923	1.003	0.995	0.742	0.575	0.870	0.803
> 20.000	0.877	0.737	0.711	0.417	0.399	0.063	0.492	0.168
Block 2 - Workplace characteristics
Main work type
Clinic			1.000		1.000		1.000
Surgery			0.450	0.029	0.521	0.142	0.507	0.132
Diagnosis			0.392	0.016	0.627	0.288	0.660	0.364
ICU/ED			3.318	0.154	5.467	0.075	6.456	0.063
Anesthesiology			1.760	0.594	0.834	0.853	0.672	0.688
Years of work in the hospital (continuous)			0.998	0.966	1.002	0.966	1.011	0.808
Block 3 – Workplace perceived stressors
Lack of recognition by the hospital					2.200	0.044	2.605	0.018
Lack of recognition by patients/caregivers					4.333	0.081	4.780	0.074
Excess of work					5.187	< 0.001	4.735	< 0.001
Lack of time					1.697	0.133	1.420	0.339
Institutional rules					0.967	0.932	0.824	0.627
Lack of autonomy					2.216	0.141	2.249	0.148
Block 4 - Extra-work characteristics
Leisure activities
Never/rarely							1.000
Moderate							0.321	0.009
Frequent/very frequent							0.362	0.065
Model Chi-square	18.511	0.005	32.719	0.001	81.397	< 0.001	88.866	< 0.001
Block Chi-square	18.511	0.005	14.208	0.014	48.678	< 0.001	7.489	0.024
Nagelkerke’s R2	0.105		0.181		0.405		0.436
Change in Nagelkerke’s R2			0.076		0.224		0.031

^a In all blocks there were 132 events of burnout