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Table 5 Effects of the job burnout on the work ability of BSL staff according to the multiple logistic regression analysis (N = 4636)

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

Variable

β (CI95%)

S.E.

Standard β

OR (CI95%)

VIF

Wald

P-Value

Intercept

2.76 (2.52,3)

0.12

–

15.8 (12.45,20.06)

–

22.697

< 0.001

Emotional exhaustion

− 0.08 (− 0.09, − 0.06)

0.01

− 0.93

0.92 (0.91,0.94)

1.69

− 9.578

< 0.001

Cynicism

−0.11 (− 0.13, − 0.09)

0.01

−1.05

0.9 (0.88,0.92)

1.55

−10.76

< 0.001

Reduced personal accomplishment

−0.08 (− 0.09, − 0.08)

0

− 1.38

0.92 (0.91,0.93)

1.13

− 18.286

< 0.001

  1. P value < 0.05 indicates a statistical difference among groups, and the smaller the P value is, the more significant statistical difference
  2. β Regression coefficient of logistics, SE Standard Error, OR Odds Ratio, CI Confidence Interval VIF Variance Inflation Factor, Wald Probability value of Wald Statistic, P Probability
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BMC Psychiatry

ISSN: 1471-244X

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