Table 4 Correlation between vaccination intentions and participants’ characteristics
From: COVID-19 vaccination acceptance among Syrian population: a nationwide cross-sectional study
Characteristic variables | When the vaccine becomes available to you, how likely is it that you will have one? | Chi-Square value | P-value | |||
|---|---|---|---|---|---|---|
Unlikely | Uncertain | Likely | ||||
Age | 18–24 (n = 3124) | 851 (27.2%) | 1154 (27.2%) | 1119 (35.8%) | 109.792 | < 0.0001 |
25–44 (n = 2338) | 829 (35.5%) | (28.5%) | 843 (36.1%) | |||
45–65 (n = 1686) | 591 (35.1%) | 418 (24.8%) | 677 (40.2%) | |||
> (n = 383) | 136 (35.5%) | 96 (25.1%) | 151 (39.4%) | |||
sex | Male (n = 3505) | 989 (28.2%) | 1005 (28.7%) | 1511 (43.1%) | 105.190 | < 0.0001 |
Female (n = 4026) | 1418 (35.2%) | 1329 (33.0%) | 1279 (31.8%) | |||
marital status | Single (n = 3984) | 1162 (29.2%) | 1395 (35.0%) | 1427 (35.8%) | 89.243 | < 0.0001 |
Married (n = 2825) | 1009 (35.7%) | 710 (25.1%) | 1106 (39.2%) | |||
in relationship (n = 500) | 154 (30.8%) | 176 (35.2%) | 170 (34.0%) | |||
Widow (n = 222) | 82 (36.9%) | 53 (23.9%) | 87 (39.2%) | |||
Origin | Eastern Syria (n = 365) | 94 (25.8%) | 104 (28.5%) | 167 (45.8%) | 41.834 | < 0.0001 |
Northern Syria (n = 1272) | 356 (28%) | 380 (29.9%) | 536 (42.1%) | |||
Middle Syria (n = 4376) | 1476 (33.7%) | 1346 (30.8%) | 1554 (35.5%) | |||
Southern Syria (n = 353) | 122 (34.6%) | 107 (30.3%) | 124 (35.1%) | |||
Western Syria (n = 1165) | 359 (30.8%) | 397 (34.1%) | 409 (35.1%) | |||
Residency | City (n = 5711) | 1860 (32.6%) | 1831 (32.1%) | 2020 (35.4%) | 29.372 | < 0.0001 |
Countryside (n = 1820) | 547 (30.1%) | 503 (27.6%) | 770 (42.3%) | |||
Financial status | Bad (n = 1268) | 434 (34.2%) | 315 (24.8%) | 519 (40.9%) | 32.017 | < 0.0001 |
Middle (n = 3241) | 1019 (31.4%) | 1035 (31.9%) | 1187 (36.6%) | |||
Good (n = 2654) | 844 (31.8%) | 874 (33.0%) | 933 (35.2%) | |||
Excellent (n = 371) | 110 (29.6%) | 110 (29.6%) | 151 (40.7%) | |||
Employment | Unemployed (n = 1635) | 575 (35.2%) | 439 (26.9%) | 621 (38.0%) | 99.068 | < 0.0001 |
part-time (n = 1114) | 405 (36.4%) | 336 (30.2%) | 373 (33.5%) | |||
full- (n = 1688) | 587 (34.8%) | 445 (26.4%) | 656 (38.9%) | |||
Student (n = 2653) | 715 (27.0%) | 979 (36.9%) | 959 (36.1%) | |||
part-time + student (n = 290) | 83 (28.6%) | 91 (31.4%) | 116 (40.0%) | |||
full-time + student (n = 131) | 38 (29.0%) | 38 (29.0%) | 55 (42.0%) | |||
part-time + full-time (n = 20) | 4 (20.0%) | 6 (30.0%) | 10 (50.0%) | |||
Academic level | no education (n = 324) | 87 (26.9%) | 66 (20.4%) | 171 (52.8%) | 189.934 | < 0.0001 |
Elementary (n = 422) | 101 (23.9%) | 92 (21.8%) | 229 (54.3%) | |||
Secondary (n = 550) | 204 (37.1%) | 150 (27.3%) | 196 (35.6%) | |||
Highschool (n = 782) | 301 (38.5%) | 228 (29.2%) | 253 (32.4%) | |||
university student (n = 2906) | 803 (27.6%) | 1057 (36.4%) | 1046 (36.0%) | |||
university graduate (n = 1908) | 719 (37.7%) | 551 (28.9%) | 638 (33.4%) | |||
post-university study (n = 639) | 192 (30.0%) | 190 (29.7%) | (40.2%) | |||
Father’s educational level | no education (n = 760) | 209 (27.5%) | 154 (20.3%) | 397 (52.2%) | 120.106 | < 0.0001 |
primary education (n = 1971) | 704 (35.7%) | 615 (31.2%) | 652 (33.1%) | |||
secondary education (n = 1521) | 523 (34.6%) | 462 (30.6%) | 527 (34.9%) | |||
university degree (n = 2776) | 822 (29.6%) | 948 (34.1%) | 1006 (36.2%) | |||
post-uni (n = 512) | 149 (29.1%) | 155 (30.3%) | 208 (40.6%) | |||
Mother’s educational level | no education (n = 1225) | 355 (29.0%) | 268 (21.9%) | 602 (49.1%) | 144.687 | < 0.0001 |
primary education (n = 1834) | 660 (36.0%) | 567 (30.9%) | 607 (33.1%) | |||
secondary education (n = 1656) | 579 (35.0%) | 532 (32.1%) | 545 (32.9%) | |||
university degree (n = 2625) | 763 (29.1%) | 917 (34.9%) | 945 (36.0%) | |||
post-uni (191) | 50 (26.2%) | 50 (26.2%) | 91 (47.6%) | |||