Research Article

Factors Influencing Job Burnout and Musculoskeletal Disorders among Coal Miners in the Xinjiang Uygur Autonomous Region

Table 6

: Multivariate logistic regression analysis of WMSDs in coal miners.

VariableGroupBetaStandard errorWaldOR (95% CI)

Length of service (years)1∼1012.1270.002
11∼200.4710.13512.0690.0011.601 (1.228–2.088)
≥210.2040.1611.6140.2041.226 (0.895–1.680)

Type of workCoal miners11.0320.026
Excavate miners−0.2550.1831.9290.1650.775 (0.541–1.110)
Transport miners0.2930.1653.1710.0751.340 (0.971–1.850)
Special miners−0.3730.3291.2840.2570.689 (0.362–1.313)
Assist miners0.0180.1650.0120.9141.018 (0.737–1.406)

Annual income (yuan)15000∼700006.6420.036
70000∼1000000.4420.1746.4340.0111.556 (1.106–2.190)
100000 more than0.2610.4150.3960.5291.298 (0.576–2.929)

Burnout levelZero burnout14.0490.003
Mild burnout0.8220.3505.5030.0192.275 (1.145–4.519)
Moderate burnout0.9050.3098.5660.0032.472 (1.348–4.531)
Severe burnout1.1010.30812.798<0.0013.008 (1.645–5.500)

Bold P values < 0.05 are statistically significant.