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Table 7 Effects of quality-of-life-related factors among copper-nickel miners according to the results of multinomial logistic regression analyses

From: The status of job burnout and its influence on the working ability of copper-nickel miners in Xinjiang, China

Factor Medium Good
Exp(B) S.E. Wald p-Value OR(95%CI) Exp(B) S.E. Wald p-Value OR(95%CI)
Education level
 Junior high school and below 1 1
 High school −1.120 0.313 12.796 < 0.001 0.33(0.18,0.60) 0.013 0.220 0.004 0.952 1.01(0.66,1.56)
 Junior college −1.943 0.325 35.800 < 0.001 0.14(0.08,0.27) −0.624 0.215 8.417 0.004 0.54(0.35,0.82)
 bachelor’s degree or above −2.597 0.679 14.622 < 0.001 0.07(0.02,0.28) −0.228 0.285 0.642 0.423 0.80(0.46,1.39)
Professional title
 None 1 1
 Primary −0.211 0.306 0.472 0.492 0.81(0.44,1.48) 0.593 0.175 11.479 0.001 1.81(1.28,2.55)
 Intermediate and above −0.743 .397 3.504 0.061 0.48(0.22,1.04) 0.200 0.194 1.059 0.303 1.22(0.84,1.79)
 Work units 1 1
 Mining unit −1.169 0.289 16.397 < 0.001 0.31(0.18,0.55) 0.347 0.154 5.057 0.025 1.42(1.05,1.92)
 Beneficiation unit −1.383 0.319 18.762 < 0.001 0.25(0.13,0.47) −0.324 0.185 3.049 0.081 0.72(0.50,1.04)
 Smelting unit 1 1
Job burnout
 Zero burnout −23.906 < 0.001 < 0.001 −1.526 0.351 18.885 < 0.001 0.22(0.11,0.43)
 Mild burnout −1.437 0.377 14.538 < 0.001 0.24(0.11,0.50) −0.809 0.328 6.087 0.014 0.45(0.23,0.85)
 Moderate burnout −1.501 0.368 16.642 < 0.001 0.22(0.11,0.46) −0.460 0.322 2.032 0.154 0.63(0.34,1.19)
 High burnout 1 1