Table 5 Bivariate and multivariable logistic regression analyses for factors associated with RH knowledge level among rural women aged 20–39 years, Hunan, China, 2018 (n = 973)
Characteristics | RH knowledge level f (%) | COR (95%CI) | AOR (95%CI) | |
|---|---|---|---|---|
Low | High | |||
Education | ||||
Senior high school or less | 419 (55.9) | 330 (44.1) | 1.36 (1.18–1.57)* | 1.40 (1.13–1.74)* |
College or more | 91 (43.1) | 120 (52.9) | 1.0 | 1.0 |
Occupation | ||||
Students | 29 (60.1) | 20 (39.9) | 0.73 (0.54–0.99)* | 1.02 (0.45–2.50) |
Farmers or workers | 311 (59.4) | 213 (40.7) | 0.57 (0.40–0.82)* | 0.65 (0.42–1.01) |
Civil servants/administrators | 10 (34.5) | 19 (65.5) | 1.58 (0.69–3.62) | 0.47 (0.15–1.47) |
Professional technicians | 15 (21.7) | 54 (78.3) | 2.99 (1.55–5.76)* | 3.53 (0.98–8.87) |
Business/service personnel | 54 (44.3) | 68 (55.7) | 1.05 (0.65–1.69) | 0.85 (0.47–1.52) |
Unemployed | 69 (45.4) | 83 (54.6) | 1.0 | 1.0 |
Marital status | ||||
Married | 427 (51.0) | 410 (49.0) | 0.56 (0.38–0.81)* | 0.93 (0.36–2.43) |
Unmarried | 88 (65.2) | 47 (34.8) | 1.0 | 1.0 |
Average monthly household income (CNY) | ||||
<¥3000 | 179 (62.8) | 106 (37.2) | 0.41 (0.26–0.65)* | 0.81 (0.43–1.52) |
¥3000–4999 | 159 (49.1) | 165 (50.9) | 0.72 (0.45–1.13) | 1.20 (0.65–2.22) |
¥5000–7999 | 132 (51.4) | 125 (48.6) | 0.65 (0.41–1.05) | 1.11 (0.59–2.08) |
≥ ¥8000 | 40 (40.8) | 58 (59.2) | 1.0 | 1.0 |
Having sexual experience | ||||
Yes | 410 (50.2) | 407 (49.8) | 0.50 (0.34–0.74)* | 1.35 (0.57–3.19) |
No | 90 (66.7) | 45 (33.3) | 1.0 | 1.0 |
Use of emergency contraceptives | ||||
Yes | 86 (37.4) | 144 (62.6) | 0.53 (0.42–0.80)* | 0.80 (0.50–1.30) |
No | 430 (57.9) | 313 (42.1) | 1.0 | 1.0 |
Number of children | ||||
0 | 124 (63.9) | 70 (36.1) | 0.57 (0.40–0.81)* | 0.59 (0.29–1.17) |
1 | 181 (50.4) | 178 (49.6) | 0.99 (0.75–1.32) | 0.93 (0.64–1.33) |
≥ 2 | 211 (50.2) | 209 (49.8) | 1.0 | 1.0 |
No history of gynecopathy | ||||
Yes | 383 (59.3) | 263 (40.7) | 2.21 (1.68–2.91)* | 2.06 (1.39–3.04)* |
No | 127 (39.7) | 193 (60.3) | 1.0 | 1.0 |
No discomfort in the past two weeks | ||||
Yes | 435 (54.9) | 358 (45.2) | 1.63 (1.17–2.28)* | 1.49 (0.92–2.41) |
No | 73 (42.7) | 98 (57.3) | 1.0 | 1.0 |
Did you acquire knowledge from medical staff | ||||
Yes | 243 (42.3) | 331 (57.7) | 0.34 (0.26–0.45)* | 0.26 (0.15–0.44)* |
No | 264 (68.4) | 122 (31.6) | 1.0 | 1.0 |
Did you acquire knowledge from radio and television | ||||
Yes | 124 (43.5) | 161 (56.5) | 0.59 (0.45–0.78)* | 0.90 (0.52–1.81) |
No | 383 (56.7) | 293 (43.3) | 1.0 | 1.0 |
Did you acquire knowledge from internet | ||||
Yes | 207 (44.4) | 259 (55.6) | 0.52 (0.40–0.67)* | 0.50 (0.30–0.83)* |
No | 300 (60.6) | 195 (39.4) | 1.0 | 1.0 |
Did you acquire knowledge from WeChat/micro-blog | ||||
Yes | 129 (37.3) | 217 (62.7) | 0.37 (0.28–0.49)* | 0.26 (0.15–0.45)* |
No | 378 (61.5) | 237 (38.5) | 1.0 | 1.0 |
Did you acquire knowledge from books, newspapers, magazines | ||||
Yes | 74 (39.8) | 112 (60.2) | 0.52 (0.38–0.72)* | 1.04 (0.52–1.68) |
No | 433 (55.9) | 342 (44.1) | 1.0 | 1.0 |
Did you acquire knowledge from poster | ||||
Yes | 30 (25.2) | 89 (74.8) | 0.26 (0.17–0.40)* | 0.63 (0.41–1.02) |
No | 477 (56.7) | 365 (43.4) | 1.0 | 1.0 |