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. 2022 Mar 15;46:101346. doi: 10.1016/j.eclinm.2022.101346

Figure 2.

Fig 2

Significant findings from the multivariable logistic regression Figure 2 .a shows the base model. Associations of age, sex and ethnicity with an outcome of favouring mandatory vaccination are expressed as adjusted odds ratios and 95% confidence intervals. Regression analyses contained complete cases only, therefore, this analysis includes 3215 HCW Figure 2 .b shows the adjusted odds ratios and 95% confidence intervals for the association of predictor variables with an outcome of favouring mandatory vaccination. Only predictor variables with a statistically significant association are shown. Analyses are adjusted for age, sex and ethnicity. Regression analyses contained complete cases only, therefore, estimates for each predictor variable are based on different numbers of observations. Sample size for each predictor can be calculated by subtracting the number of observations with missing data (See Table 1) for the predictor from the number of observations in the base model (n = 3215). AHP – allied health professional; COVID-19 – coronavirus disease 2019; IMD – index of multiple deprivation.