Table 4.
Logistic regression analysis for knowledge about cervical cancer.
| Characteristics | Total | Knowledge | OR (95%CI) | P-value |
|---|---|---|---|---|
| Ethnicity | 0.008* | |||
| Han | 300 | 168 (56.0) | 1 | |
| Others | 88 | 36 (40.9) | 2.48 (1.27–4.82) | |
| Region | 0.006* | |||
| Central | 140 | 78 (55.7) | 1 | |
| Northeast | 49 | 16 (32.6) | 1.97 (0.86–4.51) | |
| Northwest | 42 | 20 (47.6) | 0.78 (0.34–1.81) | |
| Others | 82 | 56 (68.3) | 0.4 (0.2–0.79) | |
| Southeast | 40 | 19 (47.5) | 1.29 (0.56–2.95) | |
| Southwest | 35 | 15 (42.8) | 1.53 (0.6–3.93) | |
| Residence | 0.8 | |||
| Rural | 110 | 53 (48.2) | 1 | |
| Urban | 278 | 151 (54.3) | 0.92 (0.48–1.76) | |
| Age | 0.026* | |||
| <30 | 75 | 39 (52.0) | 1 | |
| 31–40 | 148 | 88 (59.4) | 0.43 (0.22–0.84) | |
| 41–50 | 130 | 63 (48.5) | 0.76 (0.38–1.52) | |
| >50 | 35 | 12 (34.3) | 1.18 (0.44–3.17) | |
| Education | 0.001* | |||
| Graduate | 121 | 89 (73.5) | 1 | |
| High school | 94 | 49 (52.1) | 2.04 (1.06–3.94) | |
| Middle | 78 | 36 (46.1) | 3.45 (1.65–7.23) | |
| Primary | 53 | 11 (20.7) | 12.52 (4.89–32.1) | |
| Illiterate | 42 | 19 (45.2) | 2.99 (1.24–7.2) | |
| Occupation | 0.20 | |||
| Farmers | 63 | 28 (44.4) | 1 | |
| Government sector | 30 | 22 (73.3) | 0.73 (0.23–2.33) | |
| Private | 82 | 38 (46.3) | 2.46 (0.66–9.1) | |
| Teachers | 32 | 23 (71.9) | 1.89 (0.84–4.27) | |
| Workers | 80 | 38 (47.5) | 1.91 (0.84–4.32) | |
| Others | 83 | 47 (56.6) | 1.29 (0.56–2.97) | |
| No work | 18 | 8 (44.4) | 0.75 (0.24–2.33) | |
| Status | 0.12 | |||
| Married | 319 | 173 (54.2) | 1 | |
| Single | 69 | 31 (44.9) | 1.67 (0.87–3.21) | |
| Monthly income | 0.11 | |||
| <3000 | 155 | 72 (46.4) | 1 | |
| 3100–500 | 114 | 70 (61.4) | 0.59 (0.33–1.06) | |
| 5100–8000 | 41 | 24 (58.5) | 0.69 (0.3–1.58) | |
| 8100–10000 | 78 | 38 (48.7) | 1.28 (0.65–2.52) |
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.