Table 1.
Demographic characteristics of the study participants (N = 5307)
| Demographic & Basic Information | Coverage |
Total (%, N = 5307) | Vaccination group (%, n = 164) | Non-vaccination groups |
χ2 | p | OR |
|---|---|---|---|---|---|---|---|
| (rate, 95%CI) | (%, n = 5143) | ||||||
| Sex | |||||||
| Male | 2.0(1.3, 2.8) | 1475 (27.8) | 30 (18.3) | 1445 (28.1) | 7.6 | <.05 | 1.0 |
| Female | 3.5(2.9, 4.1) | 3832 (72.2) | 134 (81.7) | 3698 (71.9) | 1.8 (1.2–2.6) | ||
| Hometown | |||||||
| Rural area | 1.6(1.1, 2.1) | 2690 (50.7) | 43 (26.2) | 2647 (51.5) | 40.5 | <.001 | 1.0 |
| Urban area | 4.6(3.8, 5.4) | 2617 (49.3) | 121 (73.8) | 2496 (48.5) | 3.0 (2.1–4.2) | ||
| Education | |||||||
| College:1–3 years of technical school training | 2.3(0.0, 5.5) | 86 (1.6) | 2 (1.2) | 84 (1.6) | 5.6 | .1 | 1.0 |
| Undergraduate | 3.0(2.6, 3.5) | 5041 (95.0) | 152 (92.7) | 4889 (95.1) | 1.3 (0.3–5.4) | ||
| Graduate or above | 5.6(2.21, 8.9) | 180 (3.4) | 10 (6.1) | 170 (3.3) | 2.5 (0.5–11.5) | ||
| Marital status and sexually active | |||||||
| Single without sexually active | 2.2(1.7, 2.7) | 2824 (53.2) | 62 (37.8) | 2762 (53.7) | 16.6 | <.05 | 1.0 |
| Married | 6.7(0.0, 19.3) | 15 (0.3) | 1 (0.6) | 14 (0.3) | 3.2 (0.4–24.6) | ||
| In a relationship with sexually active | 3.9(2.5, 5.3) | 742 (14.0) | 29 (17.7) | 713 (13.9) | 1.8 (1.2–2.8) | ||
| In a relationship without sexually active | 4.2(3.2, 5.1) | 1698 (32.0) | 71 (43.3) | 1627 (31.6) | 1.9 (1.4–2.8) | ||
| Single with sexually active | 3.6(0.0, 10.4) | 28(0.5) | 1 (0.6) | 27 (0.5) | 1.7 (0.2–12.3) | ||
| Sexual active | |||||||
| Not sexually active | 2.9(2.5, 3.4) | 4522 (85.2) | 133 (81.1) | 4389 (85.3) | 9.4 | <.05 | 1.0 |
| Homosexual | 3.8(0.0, 7.9) | 80 (1.5) | 3 (1.8) | 77 (1.5) | 1.3 (0.4–4.1) | ||
| Heterosexual | 3.7(2.3, 5.1) | 683 (12.9) | 25 (15.2) | 658 (12.8) | 1.3 (0.8–1.9) | ||
| Bisexual | 13.6(0.0, 28.0) | 22 (0.4) | 3 (1.8) | 19 (0.4) | 5.2 (1.5–17.8) | ||
| Monthly expenses | |||||||
| <1000 RMB | 1.3(0.6, 2.0) | 1021 (19.2) | 13 (7.9) | 1008 (19.6) | 78.6 | <.001 | 1.0 |
| 1000–1999 RMB | 2.5(1.9, 3.0) | 3422 (64.5) | 84 (51.2) | 3338 (64.9) | 2.0 (1.1–3.5) | ||
| ≥2000 RMB | 7.8(6.0, 9.5) | 864 (16.3) | 67 (40.9) | 797 (15.5) | 6.5 (3.6–11.9) | ||
| Cervical cancer screen | |||||||
| No | 3.1 (2.6, 3.7) | 3771 (98.4) | 118 (88.1) | 3653 (98.8) | 99.9 | <.001 | 1.0 |
| Yes | 26.2 (14.9, 37.6) | 61 (1.6) | 16 (11.9) | 45 (1.2) | 11.0 (6.1–20.0) | ||
| Knowledge acquisition | |||||||
| No | 1.9 (1.1, 2.8) | 978 (35.7) | 19 (14.3) | 959 (36.8) | 27.9 | <.001 | 1.0 |
| Yes | 6.5 (5.3, 7.6) | 1762 (64.3) | 114 (85.7) | 1648 (63.2) | 3.5 (2.1–5.7) |