Table 4.
Multiple Logistic Regression Analysis for Factors Affecting Decision Uptake of COVID-19 Vaccine
| Determinants | Decision Uptake of COVID-19 Vaccine Yes = 1780, No/ Not Sure = 5163 | ||
|---|---|---|---|
| B | Adjusted Odds Ratio (95% CI) | p-value | |
| ● ≥ 40 years old | −0.941 | 0.390 (0.349–0.436) | 0.001* |
| ● Male Gender | 0.774 | 2.169 (1.915–2.457) | <0.001* |
| ● Education Level | |||
| ● High school | 0.309 | 1 (Ref) | <0.001* |
| ● University | 1.044 (0.869–1.255) | ||
| ● Post graduate | 1.362 (1.104–1.681) | ||
| ● Occupation | |||
| ● Unemployed a | 0.206 | 1 (Ref) | <0.001* |
| ● Government sector | 0.994 (0.855–1.156) | ||
| ● Private sector | 1.228 (1.008–1.497) | ||
| ● Healthcare workers | 1.366 (1.140–1.636) | ||
| ● Previous seasonal influenza vaccine | 0.520 | 2.706 (2.396–3.056) | <0.001* |
| ● Kuwaiti Nationality | 0.426 | 1.329 (1.131–1.561) | 0.001 * |
| ● Governorates | |||
| ● Capital | −0.071 | 1 (Ref) | 0.004* |
| ● Hawally | 1.119 (0.971–1.291) | ||
| ● Farwanya | 0.822 (0.674–1.002) | ||
| ● Ahmadi | 0.810 (0.653–1.004) | ||
| ● Jahra | 0.836 (0.602–1.160) | ||
| ● Family member or a friend had COVID-19 infection | −0.154 | 0.844 (0.743–0.958) | 0.009 * |
Notes: aUnemployed (including retirees, students, and housewives). The variables included in the equation: age, gender, nationality, residence governorate, occupation, educational level, having children, history of seasonal flu vaccination and family member or a friend had COVID-19 infection, * P<0.05, that is, significant difference between hesitant and willing to take vaccine at the 5% level of significance.