TABLE 4.

Comparison of demographic variables and burnout scores.

Characteristic	Case (N = 241)	MBI_EE_Total	t/F	P	MBI_DP_Total	t/F	P	MBI_PA_Total	t/F	P
Age (y)			10.366	0.001		11.052	0.001		5.247	0.023
16–18	30	10.23 ± 5.32			5.93 ± 2.74			8.93 ± 4.83
19–21	123	13.25 ± 7.33			7.39 ± 4.32			12.4 ± 6.99
22–25	88	15.11 ± 7.61			8.76 ± 4.7			12.84 ± 6.99
Gender			1.382	0.169		0.163	0.871		−0.728	0.468
Male	72	14.57 ± 7.5			7.78 ± 4.11			11.65 ± 6.45
Female	169	13.12 ± 7.26			7.68 ± 4.52			12.33 ± 7.02
Education			22.433	<0.001		12.301	0.001		7.859	0.005
Higher vocational	31	10.84 ± 5.9			6.29 ± 3.16			10 ± 6.03
Junior college	93	11.48 ± 6.38			6.9 ± 4.12			11.34 ± 6.67
Bachelor’s degree	117	15.92 ± 7.71			8.73 ± 4.66			13.32 ± 7.01
Major			2.524	0.113		1.793	0.182		1.536	0.216
nursing	120	11.62 ± 6.42			6.63 ± 3.9			10.84 ± 6.23
Radiological medicine	1	25 ± NA			10 ± NA			6 ± NA
Medical imaging technology	13	17.08 ± 7.74			10.77 ± 5.46			16.92 ± 8.2
Psychiatry	12	16.92 ± 9.97			7.92 ± 4.48			12.58 ± 8.53
Clinical medicine	44	16.64 ± 7.06			9.89 ± 4.57			13.95 ± 6.79
Pharmacy	4	9.5 ± 2.89			6 ± 2.31			11.25 ± 6.7
Rehabilitation therapy	5	12 ± 7.94			8 ± 3.74			10.4 ± 5.13
Traditional Chinese medicine	3	5 ± 0			4 ± 0			6 ± 0
Medical laboratory technology	21	18.38 ± 7.57			8.95 ± 4.76			15.29 ± 6.52
General medicine	5	11 ± 6.52			7.8 ± 5.02			13 ± 9.54
Midwifery	6	13 ± 5.06			6.67 ± 4.18			12.33 ± 8.96
Stomatology	1	5 ± NA			4 ± NA			6 ± NA
Medical information engineering	2	11 ± 0			7 ± 0			9 ± 0
Health services and management	1	5 ± NA			4 ± NA			6 ± NA
Anesthesiology	1	13 ± NA			9 ± NA			12 ± NA
Biomedical engineering	2	6.5 ± 2.12			4 ± 0			7 ± 1.41