Table 3.
Bivariate analysis between sociodemographics and intention to receive COVID-19 vaccines among the study participants (N = 655).
| Variables | Intention to receive COVID-19 vaccines | P value | |
|---|---|---|---|
| No/not sure (n = 237) | Yes (n = 418) | ||
| Age (in years) | 0.06 | ||
| 18–25 | 154 (64.98%) | 236 (56.46%) | |
| 26–35 | 78 (32.91%) | 164 (39.23%) | |
| above 35 | 5 (2.11%) | 18 (4.31%) | |
| Gender | 0.25 | ||
| Male | 97 (40.93%) | 152 (36.36%) | |
| Female | 140 (59.07%) | 266 (63.64%) | |
| Students' category | 0.02 | ||
| Healthcare sector | 131 (55.27%) | 192 (45.93%) | |
| Non-healthcare sector | 106 (44.73%) | 226 (54.07%) | |
| Marital status | 0.01 | ||
| Married | 56 (23.63%) | 142 (33.97%) | |
| Single | 181 (76.37%) | 276 (66.03%) | |
| Highest education | 0.03 | ||
| Diploma/higher secondary school | 28 (11.81%) | 71 (16.99%) | |
| Undergraduate | 119 (50.21%) | 168 (40.19%) | |
| Postgraduate | 90 (37.97%) | 179 (42.82%) | |
| Social status in the community | 0.68 | ||
| Low | 24 (10.13%) | 42 (10.05%) | |
| Medium | 192 (81.01%) | 330 (78.95%) | |
| High | 21 (8.86%) | 46 (11.00%) | |
| Family income (INR/month) | 0.72 | ||
| below 10,000 | 31 (13.08%) | 48 (11.48%) | |
| 11,000–20,000 | 39 (16.46%) | 71 (16.99%) | |
| 21000–50,000 | 76 (32.07%) | 122 (29.19%) | |
| above 50000 | 91 (38.40%) | 177 (42.34%) | |
| Family size | 0.31 | ||
| Five and below | 182 (76.79%) | 335 (80.14%) | |
| Six and above | 55 (23.21%) | 83 (19.86%) | |
| Place of residence | 0.60 | ||
| Urban | 115 (48.52%) | 194 (46.41%) | |
| Rural | 122 (51.48%) | 224 (53.59%) | |
| Geographical region in India | 0.06 | ||
| Eastern | 48 (20.25%) | 99 (23.68%) | |
| Western | 16 (6.75%) | 39 (9.33%) | |
| Northern | 117 (49.37%) | 163 (39.00%) | |
| Southern | 20 (8.44%) | 30 (7.18%) | |
| Central | 14 (5.91%) | 46 (11.00%) | |
| North-east | 22 (9.28%) | 41 (9.81%) | |