Distribution of rubella IgG antibodies among pregnant women by sociodemographic characteristics
Variables | Descriptive data n (%) tested | Rubella seroprevalence | Univariable logistic regression | Multivariable logistic regression | ||||
IgG-negative, n (%) | IgG-positive, n (%) | χ2 test | OR (95% CI) | P value | AOR (95% CI) | P value | ||
Age group (years) | ||||||||
Mean±SD=29.7±6.3 | ||||||||
Minimum–maximum=17–44 | ||||||||
Median (IQR)=29.5 (25–34) | ||||||||
17–24 | 116 (23.1) | 8 (7.5) | 98 (92.5) | 0.4 (0.2 to 1) | 0.065 | 0.6 (0.2 to 1.4) | 0.285 | |
25–34 | 263 (52.4) | 37 (14.8) | 213 (85.2) | 0.015 | 0.3 (0.1 to 0.9) | 0.034 | 0.6 (0.2 to 1.7) | 0.405 |
35–44 | 120 (23.9) | 20 (17.2) | 96 (82.8) | |||||
Place of residence | ||||||||
Urban | 331 (65.9) | 42 (13.5) | 270 (86.5) | 0.9 (0.5 to 1.6) | 0.743 | |||
Suburban | 141 (28.1) | 20 (15) | 113 (85) | 0.76 | 0.7 (0.2 to 2.1) | 0.6 | ||
Rural | 30 (6) | 5 (16.7) | 25 (83.3) | |||||
Treating physician | ||||||||
General doctor | 276 (55) | 31 (12) | 227 (88) | 0.19 | 0.6 (0.4 to 1.1) | 0.15 | ||
Specialist | 226 (45) | 36 (16.6) | 181 (83.4) | |||||
Educational level | ||||||||
Unschooled | 96 (19) | 18 (19.1) | 76 (80.9) | |||||
Primary | 172 (34) | 29 (18.2) | 130 (81.8) | 0.02 | 1.0 (0.5 to 2.0) | 0.881 | 0.9 (0.4 to 1.9) | 0.939 |
Secondary | 189 (38) | 18 (10.1) | 160 (89.9) | 2.0 (0.9 to 4.1) | 0.056 | 1.7 (0.7 to 3.6) | 0.168 | |
University | 45 (9) | 2 (4.5) | 42 (95.5) | 4.7 (1.0 to 21.6) | 0.043 | 3.7 (0.7 to 17.6) | 0.094 | |
Professional activity | ||||||||
Regular income | 55 (11) | 6 (11.3) | 47 (88.7) | |||||
Irregular income | 445 (88.6) | 61 (14.5) | 359 (85.5) | 0.76 | ||||
None | 2 (0.4) | 0 (0) | 2 (100) | |||||
Social level | ||||||||
Low | 336 (66.9) | 48 (15.1) | 270 (84.9) | |||||
Mid | 163 (32.5) | 19 (12.3) | 135 (87.7) | 0.67 | ||||
High | 3 (0.6) | 0 (0) | 3 (100) | |||||
Marital status | ||||||||
Married | 501 (99.8) | 67 (14.1) | 407 (85.9) | 1 | ||||
Single | 1 (0.2) | 0 (0) | 1 (100) |
AOR: OR adjusted by multiple logistic regression analysis of the variables age, educational level and parity.
AOR, adjusted OR.