Effects of Occupational Radiation Exposure on Job Stress and Job Burnout of Medical Staff in Xinjiang, China: A Cross-Sectional Study

24 December 2020 : Database Analysis

Zhe Zhang^1ABCEF, Yaoqin Lu^2BCD, Xianting Yong^1BCE, Jianwen Li^3BFG, Jiwen Liu^1ADEFG*

DOI: 10.12659/MSM.927848

Med Sci Monit 2020; 26:e927848

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Table 3 Comparison of job burnout levels in different populations.

Items	N	CMBI				Detection rate (%)	Chi-squared value	P-value
Items	N	None	Mild	Moderate	Severe	Detection rate (%)	Chi-squared value	P-value

<30	311	142	89	69	11	54.34	23.336
<40	571	192	190	143	46	66.37
<50	353	129	120	83	21	63.46
≥50	161	49	60	46	6	69.57

Male	796	268	254	220	54	66.33	14.727
Female	600	244	205	121	30	59.33	14.727

Han	995	348	318	255	74	65.03	17.279
Minority	401	164	141	86	10	59.10	17.279

None or primary	521	210	150	133	28	59.69	14.770
Middle	501	169	181	111	40	66.27
Senior	374	133	128	97	16	64.44

Junior college and below	317	121	110	74	12	61.83	12.768
Undergraduate	683	237	219	171	56	65.30
Postgraduate	396	154	130	96	16	61.11

Unmarried	275	122	69	75	9	55.64	18.768
Married	1090	376	381	260	73	65.50
	31	14	9	6	2	54.84
Job post
Doctor	834	298	297	201	38	64.27	39.269
Nurse	208	78	75	49	6	62.50
Radiographer	320	124	83	77	36	61.25
Others	34	12	4	14	4	64.71

Diagnostic radiology	811	279	281	183	68	65.60	61.867
Nuclear medicine	38	28	4	4	2	26.32
Radiotherapy	147	68	50	27	2	53.74
Interventional radiology	324	108	104	102	10	66.67
Others	76	29	20	25	2	61.84

<5	422	193	120	98	11	54.27	43.802
<10	465	165	151	113	36	64.52
<20	302	90	113	69	30	70.20
≥20	207	64	75	61	7	69.08

No	1292	487	424	310	71	62.31	14.094
Yes	104	25	35	31	13	75.96	14.094

No	1224	470	397	289	68	61.60	14.860
Yes	172	42	62	52	16	75.58	14.860

No	1360	508	442	334	76	62.65	25.400
Yes	36	4	17	7	8	88.89	25.400

BMI <24	1205	460	394	289	62	61.83	17.316
BMI ≥24	191	52	65	52	22	72.77	17.316

No	1000	382	320	240	58	61.80	3.601	0.308
Yes	396	130	139	101	26	67.17	3.601	0.308

No	622	242	204	148	28	61.09	5.991	0.112
Yes	774	270	255	193	56	65.12	5.991	0.112

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