Table 5.
Binary Logistic Regression Analysis of Knowledge Towards Second COVID-19 Vaccine Dose
| Variables | Knowledge | COR (95% CI) | AOR (95% CI) | |
|---|---|---|---|---|
| Yes | No | |||
| Gender | ||||
| Male | 200 | 87 | 0.45 (0.39–0.57) | 0.31 (0.21–1.55) |
| Female | 102 | 20 | 1 | 1 |
| Profession | ||||
| Nurse | 101 | 62 | 0.33 (0.12–0.42) | 0.27 (0.19–1.98) |
| Psychiatry | 5 | 2 | 0.52 (0.36–0.62) | 0.42 (0.31–2.01) |
| Optometry | 4 | 2 | 0.41 (0.32–0.53) | 0.37 (0.26–2.21) |
| Midwifery | 59 | 9 | 1.34 (1.85–2.31) | 0.87 (0.72–2.13) |
| Physician | 98 | 7 | 2.87 (1.23–,3.91) | 2.32 (1.42–3.01)** |
| Health officer | 5 | 1 | 1.03 (1.01–2.32) | 0.75 (0.70–1.25) |
| Anesthesia | 5 | 2 | 0.51 (0.46–0.61) | 0.47 (0.37–1.99) |
| Other | 39 | 8 | 1 | 1 |
| Marital status | ||||
| Married | 191 | 86 | 0.63 (0.56–,0.78) | 0.57 (0.53–1.56) |
| Not Married | 102 | 29 | 1 | 1 |
| Educational Status | ||||
| Diploma | 79 | 23 | 1 | 1 |
| Degree | 192 | 71 | 0.79 (0.66–0.95) | 0.59 (0.44–1.23) |
| MSc and Above | 38 | 6 | 1.84 (1.13–2.43) | 1.82 (1.1–2.2)** |
| Monthly income | ||||
| >5,000 | 200 | 53 | 1 | 1 |
| 10,000 | 89 | 40 | 0.59 (0.51–0.78) | 0.54 (0.51–2.31) |
| 10,000–15,000 | 19 | 8 | 0.63 (0.44–1.95) | |
| Age | ||||
| 20–29 | 79 | 24 | 1 | 1 |
| 30–39 | 181 | 40 | 1.37 (1.21–2.55) | 2.01 (1.76–3.01)** |
| 40–49 | 29 | 8 | 1.10 (0.85–1.74) | |
| 50–59 | 23 | 10 | 0.70 (0.45–0.91) | 0.67 (0.57–2.01) |
| >59 | 9 | 6 | 0.46 (0.33–0.56) | 0.41 (0.31–1.53) |
| Working experience | ||||
| 1–3 years | 69 | 20 | 1 | 1 |
| 3–5 years | 83 | 40 | 0.60 (0.44–2.12) | |
| 5–10 years | 129 | 50 | 0.75 (0.55–0.88) | 0.43 (0.34–1.67) |
| >10 years | 10 | 8 | 0.36 (0.24–0.58) | 0.29 (0.24–1.38) |
| Have chronic disease(s) | ||||
| Yes | 90 | 56 | 0.52 (0.41–0.65) | 0.48 (0.39–0.61) |
| No | 199 | 64 | 1 | 1 |
Notes: **Significant at P<0.01, 1Reference category.