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Table 1 Demographic data of participants with and without burnout (N = 7911)

From: Job burnout and its impact on work ability in biosafety laboratory staff during the COVID-19 epidemic in Xinjiang

Variables

Categories

Total

(n = 7911)

Non-burnout

(n = 2562)

Burnout

(n = 5349)

Burnout detection rate

(%)

Chi-squared value

P value

Sex

Male

1882(23.80%)

655(25.60%)

1227(22.90%)

65.20%

6.594

0.010

Female

6029(76.20%)

1907(74.40%)

4122(77.01%)

68.37%

  

Age

20–25

1008(12.70%)

359(14.00%)

649(12.10%)

64.38%

50.904

< 0.001

25–30

2358(29.80%)

870(34.00%)

1488(27.80%)

63.10%

  

30–45

3112(39.30%)

897(35.00%)

2215(41.40%)

71.18%

  

45–50

772(9.80%)

218(8.50%)

554(10.40%)

71.76%

  

≥50

661(8.40%)

218(8.50%)

443(8.30%)

67.02%

  

Ethnicity

Han

3781(47.80%)

1143(44.60%)

2638(49.30%)

69.77%

18.580

0.002

Uygur

2899(36.60%)

978(38.20%)

1921(35.90%)

66.26%

  

Kazak

590(7.50%)

205(8.00%)

385(7,20%)

65.25%

  

Hui

331(4.20%)

121(4.70%)

210(3.90%)

63.44%

  

Mongol

114(1.40%)

46(1.80%)

68(1.30%)

59.65%

  

Other

196(2.50%)

69(2.70%)

127(2.40%)

64.80%

  

Education

Junior middle school

35(0.40%)

3(0.10%)

32(0.60%)

91.43%

12.446

0.029

High school

29(0.40%)

9(0.40%)

20(0.40%)

68.97%

  

Secondary specialized school

1085(13.70%)

337(13.20%)

1085(13.70%)

68.94%

  

Junior college

3476(43.90%)

1149(44.80%)

2327(43.50%)

66.94%

  

undergraduate

3067(38.80%)

1002(39.10%)

2065(38.60%)

67.33%

  

Master or Doctoral degree

219(2.80%)

62(2.40%)

157(2.90%)

71.69%

  

Working years

≤5

3410(43.10%)

1269(49.50%)

2141(40.00%)

62.79%

74.083

< 0.001

6–10

1649(20.80%)

507(19.80%)

1142(21.30%)

69.25%

  

11–20

1340(16.90%)

353(13.80%)

987(18.50%)

73.66%

  

21–30

1038(13.10%)

281(11.00%)

757(13.10%)

72.93%

  

≥31

474(6.00%)

152(5.90%)

322(6.00%)

67.93%

  

Professional title

Primary

6018(76.10%)

2076(81.00%)

3942(73.70%)

65.50%

52.664

< 0.001

Middle

1300(16.40%)

324(12.60%)

976(18.20%)

75.08%

  

Deputy senior title

386(4.90%)

102(4.00%)

386(4.90%)

73.58%

  

Senior

207(2.60%)

60(2.30%)

207(2.60%)

71.01%

  

The level of BSL

One

1481(18.70%)

457(17.80%)

1024(19.10%)

69.14%

2.150

0.341

Two

5671(71.70%)

1851(72.20%)

3820(71.40%)

67.36%

  

Three

759(9.60%)

254(9.90%)

505(9.40%)

66.53%

  

Marital status

Unmarried

2940(37.20%)

1075(42.00%)

1865(34.90%)

63.44%

44.592

< 0.001

Married

4702(59.40%)

1394(54.40%)

3308(61.80%)

70.35%

  

Divorced

223(2.80%)

71(2.80%)

152(2.80%)

68.16%

  

Widowed

46(0.60%)

22(0.90%)

24(0.40%)

52.17%

  

Number of night shift per month

Rarely

1306(16.50%)

514(20.10%)

792(14.80%)

60.64%

181.064

< 0.001

Less

840(10.60%)

329(12.80%)

511(9.60%)

60.83%

  

General

3022(38.20%)

1084(42.30%)

1938(36.20%)

64.13%

  

More

2010(25.40%)

501(19.60%)

1509(28.20%)

75.07%

  

Many

733(9.30%)

134(5.20%)

599(11.20%)

81.72%

  

Overall sleep condition

Very bad

890(11.30%)

134(5.20%)

756(14.10%)

84.94%

442.531

< 0.001

Poor

1626(20.60%)

363(14.20%)

1263(23.60%)

77.68%

  

General

4006(50.60%)

1353(52.80%)

2653(49.60%)

66.23%

  

Better

1027(130%)

496(19.40%)

531(9.90%)

51.70%

  

Well

362(4.60%)

216(8.40%)

146(2.70%)

40.33%

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