Table 1.
Sociodemographic characteristics of participants.
| Variable | Total, n = 1051 (%) | Vaccinated, n = 906 (%) | Unvaccinated, n = 145 (%) | Statistic 1 | p |
|---|---|---|---|---|---|
| Gender | χ2 = 0.040 | 0.842 | |||
| Male | 111 (10.6) | 95 (10.5) | 16 (11.0) | ||
| Female | 940 (89.4) | 811 (89.5) | 129 (89.0) | ||
| Nationality | χ2 = 0.636 | 0.425 | |||
| Han | 1001 (95.2) | 861 (95.0) | 140 (96.6) | ||
| Minority | 50 (4.8) | 45 (5.0) | 5 (3.4) | ||
| Religion | χ2corr = 0.000 | 1.000 | |||
| Yes | 15 (1.4) | 13 (1.4) | 2 (1.4) | ||
| No | 1036 (98.6) | 893 (98.6) | 143 (98.6) | ||
| Age (years) | z = 2.007 | 0.045 | |||
| 18–30 | 204 (19.4) | 165 (18.2) | 39 (26.9) | ||
| 31–40 | 378 (36.0) | 323 (35.7) | 55 (37.9) | ||
| 41–50 | 279 (26.5) | 259 (28.6) | 20 (13.8) | ||
| 51–60 | 190 (18.1) | 159 (17.5) | 31 (21.4) | ||
| Education | z = 0.073 | 0.942 | |||
| Doctorial degree | 92 (8.7) | 80 (8.8) | 12 (8.3) | ||
| Master | 277 (26.4) | 239 (26.4) | 38 (26.2) | ||
| University (Bachelor) | 603 (57.4) | 518 (57.2) | 85 (58.6) | ||
| Below University | 79 (7.5) | 69 (7.6) | 10 (6.9) | ||
| Departments | χ2 = 4.339 | 0.114 | |||
| Obs/Gyn | 792 (75.3) | 687 (75.8) | 105 (72.4) | ||
| Pediatric | 150 (14.3) | 132 (14.6) | 18 (12.4) | ||
| Others | 109 (10.4) | 87 (9.6) | 22 (15.2) | ||
| Roles | χ2 = 6.261 | 0.100 | |||
| Physician | 670 (63.8) | 582 (64.2) | 88 (60.7) | ||
| Nurse/midwife | 293 (27.9) | 254 (28.0) | 39 (26.9) | ||
| Laboratory technician | 56 (5.3) | 42 (4.6) | 14 (9.7) | ||
| Others | 32 (3.0) | 28 (3.1) | 4 (2.8) | ||
| Professional title | z = 2.919 | 0.004 | |||
| High (senior) | 160 (15.2) | 135 (14.9) | 25 (17.2) | ||
| High (junior) | 196 (18.7) | 186 (20.5) | 10 (6.9) | ||
| Middle | 352 (33.5) | 307 (33.9) | 45 (31.0) | ||
| Primary | 343 (32.6) | 278 (30.7) | 65 (44.8) | ||
| Hospital level | z = 3.595 | <0.0001 | |||
| High | 838 (79.7) | 706 (77.9) | 132 (91.0) | ||
| Middle | 177 (16.9) | 167 (18.4) | 10 (6.9) | ||
| Low | 36 (3.4) | 33 (3.6) | 3 (2.1) | ||
| University hospital | χ2 = 0.050 | 0.824 | |||
| Yes | 629 (59.8) | 541 (59.7) | 88 (60.7) | ||
| No | 422 (40.2) | 365 (40.3) | 57 (39.3) |
1 The chi-squared test (χ2) was used to compare the group differences in gender, nationality, departments, roles, and university hospital. The chi-squared test with Yates’ correction for continuity (χ2corr) was used to compare the group differences in religion because an expected frequency is greater than 1 and smaller than 5. The Mann-Whitney U test (z) was used to compare the group differences in age, education, professional title, and hospital level.