Table 3.

Association between burnout predictors with socio-demographic characteristics.

Burnout predictor	Gender	Wave	Age		Scientific degree		Academic position		Change of permanent residence		Currently University location
			Chi-Square (χ2)	Asymp. Sig.	Chi-Square (χ2)	Asymp. Sig.	Chi-Square (χ2)	Asymp. Sig.	Chi-Square (χ2)	Asymp. Sig.	Chi-Square (χ2)	Asymp. Sig.
EE	Men	1	8.056	0.018	0.343	0.843	1.77	0.413	1.14	0.565	1.406	0.495
		2	1.114	0.573	2.612	0.271	4.779	0.092	3.244	0.197	1.067	0.587
	Women	1	1.446	0.485	0.177	0.915	0.43	0.807	13.33	0.001	0.519	0.771
		2	0.518	0.772	5.639	0.06	5.944	0.051	1.522	0.467	0.633	0.729
DP	Men	1	8.473	0.014	0.001	0.999	0.342	0.843	0.953	0.621	1.354	0.508
		2	1.539	0.463	4.565	0.102	5.833	0.054	1.651	0.438	1.601	0.449
	Women	1	2.689	0.261	2.992	0.224	2.162	0.339	12.856	0.002	2.088	0.352
		2	1.394	0.498	4.796	0.091	3.957	0.138	2.512	0.285	3.813	0.149
PA	Men	1	1.959	0.375	0.273	0.872	2.645	0.266	1.008	0.604	0.759	0.684
		2	2.791	0.248	4.445	0.108	2.268	0.322	0.538	0.764	0.55	0.76
	Women	1	2.682	0.262	2.271	0.321	7.473	0.024	1.818	0.403	0.475	0.789
		2	1.81	0.405	4.868	0.088	5.278	0.071	9.811	0.007	7.762	0.021

EE emotional exhaustion, DP depersonalization, PA personal accomplishment.