Table 4.
Relation of demographic variables and acceptance for a booster dose.
| Variables | Acceptance |
|||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Hesitation for the booster dose |
p-value | Recommend others to get the booster dose at the earliest |
p-value | Preference to develop natural immunity by infection |
p-value | |||||
| Yes (%) | No (%) | Yes (%) | No (%) | Yes (%) | No (%) | |||||
| Area of residency | Rural | 60(55.0%) | 49(45.0%) | .110NS | 56(51.4%) | 53(48.6%) | .027* | 54(49.5%) | 55(50.5%) | .564NS |
| Urban | 233(46.6%) | 267(53.4%) | 314(62.8%) | 186(37.2%) | 232(46.5%) | 267(53.5%) | ||||
| Age (in yrs) | <20 | 14(45.2%) | 17(54.8%) | .722NS | 22(71.0%) | 9(29.0%) | .474NS | 11(35.5%) | 20(64.5%) | .400NS |
| 20 - 39 | 176(47.4%) | 195(52.6%) | 227(61.2%) | 144(38.8%) | 182(49.2%) | 188(50.8%) | ||||
| 40 - 59 | 91(48.7%) | 96(51.3%) | 111(59.4%) | 76(40.6%) | 83(44.4%) | 104(55.6%) | ||||
| > = 60 | 12(60.0%) | 8(40.0%) | 10(50.0%) | 10(50.0%) | 10(50.0%) | 10(50.0%) | ||||
| Gender | Male | 124(42.8%) | 169(53.0%) | .012* | 199(68.6%) | 171(53.6%) | <.001* | 135(46.7%) | 151(47.3%) | .878NS |
| Female | 169(53.0%) | 150(47.0%) | 91(31.4%) | 148(46.4%) | 154(53.3%) | 168(52.7%) | ||||
| Education | Primary | 6(30.0%) | 14(70.0%) | .056NS | 15(75.0%) | 5(25.0%) | .280NS | 10(50.0%) | 10(50.0%) | .179NS |
| Secondary | 34(50.7%) | 33(49.3%) | 46(68.7%) | 21(31.3%) | 29(43.3%) | 38(56.7%) | ||||
| Diploma | 97(55.4%) | 78(44.6%) | 99(56.6%) | 76(43.4%) | 93(53.1%) | 82(46.9%) | ||||
| Graduate | 121(46.7%) | 138(53.3%) | 159(61.4%) | 100(38.6%) | 121(46.9%) | 33(37.5%) | ||||
| Postgraduate | 35(39.8%) | 53(60.2%) | 51(58.0%) | 37(42.0%) | 137(53.1%) | 55(62.5%) | ||||
P-value for Chi-square test. P-value <.05 is considered to be statistically significant.
*P-value <.05, **P-value <.001, NS-statistically non-significant, higher mean score indicates a higher level of knowledge and vice-versa.