Table 2

Multiple logistic regression model incorporating seropositivity at time of study as the dependent variable and age, sex, ethnicity, Index of Multiple Deprivation score and department in which participants worked at the time of the study as independent variables

VariableUnadjusted OR95% CIP valueZAdjusted OR95% CIZP value
Age0.980.96 to 1.000.600.55
Sex (female)1.540.94 to 2.560.091.721.490.81 to 2.831.790.07
Ethnicity (BAME)1.581.01 to 2.490.051.971.921.14 to
Index of Multiple Deprivation score0.990.74 to 1.322.460.95
Acute medicine1.600.76 to 3.370.241.170.990.34 to 2.860.010.99
Emergency department0.470.10 to 1.810.311.010.360.05 to 1.691.190.23
Estates0.610.18 to 2.000.430.780.570.11 to 2.290.750.45
General internal medicine1.450.89 to 2.320.131.520.930.42 to
General surgery0.450.14 to 1.370.191.300.240.03 to 1.051.710.09
Facilities0.710.29 to 1.630.410.810.520.15 to 1.601.100.45
Housekeeping1.680.79 to 3.620.191.301.010.31 to
Intensive care0.500.24 to to 0.782.370.02
Obstetrics and gynaecology1.340.63 to 2.710.440.780.850.30 to 2.390.300.77
Research and development0.710.33 to 1.500.380.880.440.15 to 1.221.540.12
  • Unadjusted OR and adjusted OR following multiple logistic regression are presented. OR presented for individual hospital departments represents the odds of seropositivity for individuals working in that department compared with not working in that department. Statistically significant OR are in bold (p<0.05)

  • The area under the receiver operating characteristic curve of this model was 0.675 (95% CI 0.619 to 0.732, p<0.0001).

  • BAME, Black, Asian and minority ethnic.