Table 5.
Logistic regression analysis for knowledge about HPV.
| Characteristics | Total | Knowledge | OR (95%CI) | P-value |
|---|---|---|---|---|
| Ethnicity | 0.28 | |||
| Han | 300 | 113 (37.7) | 1 | |
| Others | 88 | 34 (38.6) | 1.45 (0.74–2.84) | |
| Region | 0.001* | |||
| Central | 140 | 43 (30.7) | 1 | |
| Northeast | 49 | 12 (24.5) | 0.8 (0.33–1.97) | |
| Northwest | 42 | 15 (35.7) | 0.49 (0.20–1.19) | |
| Others | 40 | 18 (45.0) | 0.22 (0.11–0.44) | |
| Southeast | 35 | 14 (40.0) | 0.33 (0.14–0.79) | |
| Southwest | 82 | 45 (54.9) | 0.56 (0.21–1.46) | |
| Residence | 0.91 | |||
| Rural | 110 | 38 (34.5) | 1 | |
| Urban | 278 | 109 (39.2) | 0.96 (0.49–1.87) | |
| Age | 0.016* | |||
| <30 | 75 | 20 (26.7) | 1 | |
| 31–40 | 148 | 66 (44.6) | 0.47 (0.23–0.97) | |
| 41–50 | 130 | 42 (32.3) | 1.12 (0.54–2.35) | |
| >50 | 35 | 19 (54.3) | 0.53 (0.19–1.45) | |
| Education | 0.001* | |||
| Graduate | 121 | 72 (59.5) | 1 | |
| High school | 94 | 34 (36.2) | 2.46 (1.29–4.7) | |
| Middle | 78 | 23 (29.5) | 4.23 (1.97–9.12) | |
| Primary | 53 | 5 (9.4) | 19.92 (6.35–62.48) | |
| Illiterate | 42 | 13 (30.9) | 3.35 (1.36–8.28) | |
| Occupation | 0.54 | |||
| Farmers | 63 | 17 (27.0) | 1 | |
| Government sector | 30 | 18 (60.0) | 0.64 (0.2–203) | |
| Private | 82 | 29 (35.4) | 2.69 (0.64–11.22) | |
| Teachers | 32 | 19 (59.4) | 1.32 (0.55–3.17) | |
| Workers | 80 | 26 (32.5) | 1.25 (0.53–2.98) | |
| Others | 83 | 33 (39.7) | 1.21 (0.49–2.97) | |
| No work | 18 | 5 (27.8) | 0.76 (0.25–2.32) | |
| Status | 0.21 | |||
| Married | 319 | 126 (39.5) | 1 | |
| Single | 69 | 21 (30.4) | 1.56 (0.78–3.12) | |
| Monthly income | 0.21 | |||
| <3000 | 155 | 47 (30.3) | 1 | |
| 3100–500 | 114 | 52 (45.6) | 0.58 (0.32–1.05) | |
| 5100–8000 | 41 | 19 (45.2) | 0.53 (0.23–1.24) | |
| 8100–10000 | 78 | 29 (37.2) | 0.87 (0.43–1.77) |
1 – OR and P-value were obtained using logistic regression analysis model. First category serves as a reference for OR calculation by logistic regression.
*
Statistically significant.