Table 1 Univariate analysis: factors associated with COVID-19 vaccination
Health care workers | General population | |||||
|---|---|---|---|---|---|---|
Already get vaccinated | Already get vaccinated | |||||
No N = 1231 | Yes N = 2316 | p-valuea | No N = 2542 | Yes N = 1121 | p-valuea | |
Socio-demographic factors | ||||||
Age | < 0.001** | < 0.001** | ||||
Young | 1145 (93%) | 1970 (85%) | 2148 (85%) | 754 (67%) | ||
Adult | 86 (7.0%) | 346 (15%) | 394 (15%) | 367 (33%) | ||
Gender | < 0.001** | 0.008* | ||||
Men | 407 (33%) | 932 (40%) | 1730 (68%) | 812 (72%) | ||
Women | 824 (67%) | 1384 (60%) | 812 (32%) | 309 (28%) | ||
Matrimonial status | < 0.001** | < 0.001** | ||||
Married | 615 (50%) | 1320 (57%) | 1065 (42%) | 646 (58%) | ||
Single | 616 (50%) | 996 (43%) | 1477 (58%) | 475 (42%) | ||
Éducation | < 0.001** | 0.003* | ||||
Secondary | 52 (4.2%) | 50 (2.2%) | 1243 (49%) | 481 (43%) | ||
University | 333 (27%) | 781 (34%) | 1155 (45%) | 561 (50%) | ||
High school | 846 (69%) | 1485 (64%) | 144 (5.7%) | 79 (7.0%) | ||
Occupation | < 0.001** | < 0.001** | ||||
Nurse assistant | 706 (57%) | 1170 (51%) | ||||
Laboratory technician | 51 (4.1%) | 114 (4.9%) | ||||
Physician | 222 (18%) | 572 (25%) | ||||
Medical support | 49 (4.0%) | 46 (2.0%) | ||||
Midwife | 153 (12%) | 317 (14%) | ||||
Internship | 50 (4.1%) | 97 (4.2%) | ||||
Private-employee | 156 (6.1%) | 104 (9.3%) | ||||
Student | 723 (28%) | 173 (15%) | ||||
Civil-servant | 446 (18%) | 387 (35%) | ||||
Freelance | 1053 (41%) | 381 (34%) | ||||
Unemployed | 164 (6.5%) | 76 (6.8%) | ||||
Household size | 0.4ns | 0.7ns | ||||
[1, 5] | 561 (46%) | 1001 (43%) | 1227 (48%) | 526 (47%) | ||
[5, 10] | 483 (39%) | 945 (41%) | 934 (37%) | 428 (38%) | ||
[10, 30] | 187 (15%) | 370 (16%) | 381 (15%) | 167 (15%) | ||
≥ to 18 years old | 3 (2, 5) | 3 (2, 5) | 0.11ns | 3 (2, 5) | 3 (2, 5) | 0.6ns |
Length-stay | 0.057ns | < 0.001** | ||||
< 6 months | 142 (12%) | 220 (9.5%) | 314 (12%) | 90 (8.0%) | ||
≥ 6 months | 1089 (88%) | 2096 (91%) | 2228 (88%) | 1031 (92%) | ||
Pregnancy | < 0.001** | 0.006* | ||||
Yes | 102 (8.3%) | 50 (2.2%) | 63 (2.5%) | 14 (1.2%) | ||
No | 721 (59%) | 1333 (58%) | 746 (29%) | 294 (26%) | ||
Not applicable | 408 (33%) | 933 (40%) | 1733 (68%) | 813 (73%) | ||
Household income | < 0.001** | 0.020* | ||||
High income | 53 (4.3%) | 213 (9.2%) | 282 (11%) | 160 (14%) | ||
Low income | 172 (14%) | 340 (15%) | 339 (13%) | 136 (12%) | ||
Middle income | 1006 (82%) | 1763 (76%) | 1921 (76%) | 825 (74%) | ||
Medical conditions | ||||||
Diabetes | ||||||
Yes | 25 (2.0%) | 58 (2.5%) | 0.4ns | 59 (2.3%) | 55 (4.9%) | < 0.001** |
No | 1206 (98%) | 2258 (97.5) | 2483 (97.7) | 1066 (95.1) | ||
Hypertension | ||||||
Yes | 38 (3.1%) | 116 (5.0%) | 0.008* | 120 (4.7%) | 129 (12%) | < 0.001** |
No | 1193 (96.9%) | 2200 (95%) | 2422 (96.3%) | 992 (88%) | ||
Obesity | ||||||
Yes | 202 (16%) | 411 (18%) | 0.3ns | 582 (23%) | 315 (28%) | < 0.001** |
No | 1029 (84%) | 820 (82%) | 1960 (77%) | 806 (82%) | ||
Asthma | ||||||
Yes | 43 (3.5%) | 80 (3.5%) | > 0.9ns | 72 (2.8%) | 31 (2.8%) | > 0.9ns |
No | 1180 (96.5%) | 2236 (96.5%) | 2470 (97.2%) | 1090 (97.2%) | ||
Other allergic conditions | ||||||
Yes | 231 (19%) | 433 (19%) | > 0.9ns | 449 (18%) | 200 (18%) | 0.9ns |
No | 1000 (81%) | 1883 (81%) | 2093 (82%) | 921 (82%) | ||
Other chronic diseases | ||||||
Yes | 105 (8.5%) | 231 (10.0%) | 0.2ns | 239 (9.4%) | 103 (9.2%) | 0.8 |
No | 1126 (91.5%) | 2085 (90%) | 2303 (81.6%) | 1018 (81.8%) | ||
COVID-19 factors related | ||||||
Vaccine knowledge | ||||||
Yes | 692 (56%) | 917 (40%) | < 0.001** | 1083 (43%) | 686 (61%) | < 0.001** |
No | 539 (44%) | 1399 (60%) | 1459 (57%) | 435 (39%) | ||
Seeking COVID vaccine news in the last 3 days | ||||||
Yes | 734 (60%) | 1520 (66%) | < 0.001** | 1288 (51%) | 737 (66%) | < 0.001** |
No | 497 (40%) | 796 (44%) | 1254 (49%) | 384 (44%) | ||
Perception | 0.002* | 0.4ns | ||||
Positive | 562 (46%) | 1184 (51%) | 1243 (49%) | 531 (47%) | ||
Negative | 669 (54%) | 1132 (49%) | 1299 (51%) | 590 (53%) | ||
Negative | < 0.001** | < 0.001** | ||||
Less negative | 563 (46%) | 1328 (57%) | 1286 (51%) | 675 (60%) | ||
More negative | 668 (54%) | 988 (43%) | 1256 (49%) | 446 (40%) | ||
Positive attitude | 0.024* | < 0.001** | ||||
Less positive | 875 (71%) | 1728 (75%) | 498 (20%) | 99 (8.8%) | ||
More positive | 356 (29%) | 588 (25%) | 2044 (80%) | 1022 (91%) | ||
Norm | < 0.001** | < 0.001** | ||||
Less favourable | 676 (55%) | 1016 (44%) | 1616 (64%) | 311 (28%) | ||
More favourable | 555 (45%) | 1300 (56%) | 926 (36%) | 810 (72%) | ||
Ability to get the vaccine | 0.9ns | < 0.001** | ||||
Not able | 1071 (87%) | 2010 (87%) | 1213 (48%) | 127 (11%) | ||
Able | 160 (13%) | 306 (13%) | 1329 (52%) | 994 (89%) | ||
Intend to get vaccinated | < 0.001** | 0.2 ns | ||||
Less intend | 732 (59%) | 1669 (72%) | 1398 (55%) | 641 (57%) | ||
More intend | 499 (41%) | 647 (28%) | 1144 (45%) | 480 (43%) | ||