Assessment of COVID-19 vaccines acceptance in the Lebanese population: a national cross-sectional study

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

ISSN: 2052-3211