Table 3.
Variable | Crude ORa | 95% CI | Adjusted ORb | 95% CI |
---|---|---|---|---|
Education | ||||
<Graduate | 1 | 1 | 1 | 1 |
≥Graduate |
1.85 |
1.67–2.05 |
1.80∗ |
1.58–2.06 |
Age (years old) | ||||
≤30 | 1 | 1 | 1 | 1 |
31 to 50 | 1.07 | 0.96–1.18 | 1.45∗ | 1.29–1.65 |
≥50 |
1.41 |
1.20–1.66 |
1.97∗ |
1.63–2.38 |
Gender | ||||
Male | 1 | 1 | 1 | 1 |
Female |
1.10 |
0.99–1.22 |
1.05 |
0.93–1.19 |
Occupation | ||||
Businessperson | 1 | 1 | 1 | 1 |
Service holder | 1.39 | 1.22–1.59 | 1.30∗ | 1.11–1.52 |
Student | 2.29 | 1.93–2.70 | 2.98∗ | 2.44–3.64 |
Others |
1.39 |
1.20–1.61 |
1.55∗ |
1.30–1.85 |
Health Care Worker | ||||
Yes | 1 | 1 | 1 | 1 |
No |
1.15 |
1.00–1.32 |
1.04 |
0.88–1.25 |
Income | ||||
≤20000 BDT | 1 | 1 | 1 | 1 |
21000 to 40000 | 1.21 | 1.08–1.35 | 1.35∗ | 1.18–1.54 |
≥41000 |
2.46 |
2.10–2.89 |
2.22∗ |
1.83–2.68 |
Residence | ||||
Urban | 1 | 1 | 1 | 1 |
Rural |
1.77 |
1.58–1.98 |
2.24∗ |
1.95–2.57 |
Family size | ||||
Large | 1 | 1 | 1 | 1 |
Small |
1.08 |
0.98–1.19 |
0.99 |
0.89–1.10 |
Division | ||||
Barishal | 1 | 1 | 1 | 1 |
Chattogram | 3.11 | 2.54–3.81 | 2.76∗ | 2.21–3.45 |
Dhaka | 2.25 | 1.89–2.67 | 2.20∗ | 1.81–2.69 |
Khulna | 6.92 | 5.39–8.89 | 6.43∗ | 4.92–8.41 |
Mymensingh | 2.96 | 2.38–3.69 | 3.17∗ | 2.50–4.02 |
Rajshahi | 3.21 | 2.54–4.06 | 3.20∗ | 2.48–4.13 |
Rangpur | 1.89 | 1.50–2.38 | 2.00∗ | 1.55–2.58 |
Sylhet |
1.86 |
1.49–2.31 |
1.96∗ |
1.54–2.49 |
Diagnosed with COVID-19 | ||||
No | 1 | 1 | 1 | 1 |
Yes |
1.07 |
0.89–1.28 |
1.12 |
0.90–1.40 |
Family members Diagnosed with COVID-19 | ||||
No | 1 | 1 | 1 | 1 |
Yes |
1.21 |
1.02–1.45 |
1.24∗ |
1.01–1.52 |
Chronic Disease | ||||
No | 1 | 1 | 1 | 1 |
Yes |
0.72 |
0.64–0.81 |
0.72∗ |
0.63–0.82 |
Family members aged above 60 years old | ||||
No | 1 | 1 | 1 | 1 |
Yes |
0.96 |
0.87–1.05 |
1.02 |
0.91–1.13 |
History of taking vaccine in the last few years | ||||
No | 1 | 1 | 1 | 1 |
Yes | 1.44 | 1.28–1.63 | 1.32∗ | 1.16–1.50 |
Notes: Variables with significant OR at p < 0.05 level were indicated using asterisk sign (∗).
Multivariate logistic regression analysis was done using the enter method.
Adjusted for age, gender, education, occupation, health care worker, income, residence, family size, division, health indicators (previously diagnosed with COVID-19, chronic diseases, having 60 + ages family members, previous vaccination history).