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. 2023 Apr 4;65(7):590–594. doi: 10.1097/JOM.0000000000002857

TABLE 3.

Linear Regression of the Predictors of Number of Sick Leave Days

Model Unstandardized Coefficients Sig. 95.0% Confidence Interval for B
B Std. Error Lower Bound Upper Bound
(Constant) 10.959 0.506 <0.001 9.966 11.952
Sex
 Female −0.235 0.253 0.352 −0.731 0.261
Age group
 31–40 y −0.091 0.301 0.762 −0.682 0.500
 41–50 y 1.230 0.364 0.001** 0.516 1.944
 51 y and older 1.396 0.420 0.001** 0.571 2.221
Infection month
 March–August 13 2020 4.561 0.714 <0.001*** 3.159 5.963
 August 14–Nov 2020 1.403 0.252 <0.001*** 0.909 1.897
Position
 Nurses 1.178 0.397 0.003** 0.399 1.957
 General services and support 0.549 0.600 0.360 −0.627 1.726
 Administrative staff 0.779 0.467 0.096 −0.139 1.696
 Allied Health .851 0.469 0.070 −0.069 1.771
 Technology and engineering −0.270 0.973 0.781 −2.179 1.639
 Students 1.626 0.932 0.081 −0.202 3.455
 Research staff 2.088 1.211 0.085 −0.288 4.465
 Other 0.367 0.556 0.509 −0.724 1.458

Variables included in the model were as follows: sex (reference: male); age (reference: <30 years); month (reference: December 2020–February 2021); position (reference: doctors.

*P < 0.05; **P < 0.01; ***P < 0.001