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. 2022 Jan 11;15:5. doi: 10.1186/s40545-021-00403-x

Table 3.

Multivariable logistic regression model for the determinants of patient’s acceptance to COVID-19 vaccines

Variable ORa Confidence interval p value
Governorates 0.053
 Beirut 1
 Mount Lebanon 0.741 0.520–1.057 0.098
 Northern Lebanon 0.561 0.303–1.042 0.067
 Southern Lebanon 1.493 0.741–3.008 0.262
 Bekaa 1.032 0.444–2.398 0.943
Area
 Urban 1
 Rural 0.703 0.504–0.980 0.038
Body Mass Index 0.094
 Underweight 1
 Normal weight 1.021 0.521–2.000 0.952
 Overweight 1.498 0.746–3.007 0.256
 Obese 1.011 0.477–2.140 0.978
Hypertension
 No 1
 Yes 1.698 1.042–2.767 0.034
Food allergy
 No 1
 Yes 0.644 0.433–0.958 0.030
Influenza vaccine
 No 1
 Yes 3.123 2.369–4.117 < 0.001
Fear Scale 1.057 1.012–1.104 0.013
Knowledge Scale 1.271 1.218–1.326 < 0.001

Variables with a p value of 0.2 or less in the bivariate analysis were included in the initial model. Variables included in the multivariable logistic regression model: gender, marital status, governorates, education, occupation, knowledge index, urban/rural, living with an elderly, smoking, hypertension, food allergy, fear scale, friend/family having COVID-19, medication in general, body mass index, age, influenza vaccine. Using the Backward Stepwise regression Model, the model finally retained the variables shown in this table. Hosmer and Lemeshow test for sample adequacy p value: 0.84