| Literature DB >> 24589180 |
Berno Mwambe, Mariam M Mirambo, Stephen E Mshana1, Anthony N Massinde, Benson R Kidenya, Denna Michael, Domenica Morona, Charles Majinge, Uwe Groß.
Abstract
BACKGROUND: Sero-positivity rates of the rubella virus among pregnant women vary widely throughout the world. In Tanzania, rubella vaccination is not included in the national immunization schedule and there is therefore no antenatal screening for this viral disease. So far, there are no reports on the sero-prevalence of rubella among pregnant women in Tanzania. As a result, this study was undertaken to establish the sero-positivity rate of rubella and rubella risk factors among pregnant women attending antenatal care clinics in Mwanza, Tanzania.Entities:
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Year: 2014 PMID: 24589180 PMCID: PMC3975942 DOI: 10.1186/1471-2393-14-95
Source DB: PubMed Journal: BMC Pregnancy Childbirth ISSN: 1471-2393 Impact factor: 3.007
Distribution of rubella sero-prevalence along with demographic characteristics among pregnant women, Mwanza, 2013
| | |||||
|---|---|---|---|---|---|
| | |||||
| | | | | | |
| 15-24 | 152 | 89.4 | 18 | 10.6 | 170 |
| 25-34 | 142 | 95.9 | 6 | 4.1 | 148 |
| 35-44 | 23 | 95.8 | 1 | 4.2 | 24 |
| | | | | | |
| Urban | 146 | 90.6 | 15 | 9.4 | 161 |
| Rural | 171 | 94.5 | 10 | 5.0 | 181 |
| | | | | | |
| Business | 90 | 93.8 | 6 | 6.3 | 96 |
| Farmer | 202 | 94.4 | 12 | 5.6 | 214 |
| Employed | 25 | 78.1 | 7 | 21.9 | 32 |
| | | | | | |
| Illiterate | 18 | 85.7 | 3 | 14.3 | 21 |
| Primary | 219 | 92.4 | 18 | 7.6 | 237 |
| Secondary+ | 80 | 95.2 | 4 | 4.8 | 84 |
| | | | | | |
| Married | 269 | 93.1 | 20 | 6.6 | 289 |
| Unmarried | 48 | 90.6 | 5 | 9.4 | 53 |
| | | | | | |
| 1st Trimester | 13 | 81.2 | 3 | 18.8 | 16 |
| 2nd Trimester | 171 | 90.9 | 17 | 9.1 | 188 |
| 3rd Trimester | 133 | 96.3 | 5 | 3.7 | 138 |
Risk factors associated with Rubella infection among pregnant women (N = 342) in Mwanza, 2013
| | ||||||
|---|---|---|---|---|---|---|
| 25 [22–29] | 23 [19–25] | 1.1 (1.02-1.22) | 0.019 | 1.2 (1.02-1.33) | 0.021 | |
|
| | | | | | |
| Urban | 146 (90.7) | 15 (9.3) | 1 | | | |
| Rural | 171 (94.5) | 10 (5.5) | 1.7 (0.77-4.01) | 0.183 | 2.1 (0.7-6.7) | 0.191 |
|
| | | | | | |
| Employed | 25 (78.1) | 7 (21.9) | 1 | | 1 | |
| Farmers | 202 (94.4) | 12 (5.6) | 4.7 (1.7-13.1) | 0.003 | 4.9 (1.4-16.6) | 0.011 |
| Business | 90 (93.8) | 6 (6.3) | 4.2 (1.3-13.6) | 0.017 | 7.1 (1.9-26.3) | 0.003 |
| 2 [1-4] | 2 [1,2] | 1.4 (0.99-1.86) | 0.057 | 0.9 (0.6-1.4) | 0.561 | |
| | | | | | | |
| 1st | 13 (81.2) | 3 (18.8) | 1 | | | |
| 2nd | 171 (91.0) | 17 (9.0) | 2.3 (0.6-8.9) | 0.222 | - | - |
| 3rd | 133 (96.4) | 5 (3.60) | 6.1 (1.3-28.6) | 0.021 | ||
| 26 [20–32] | 21 [18–26] | 1.1 (1.001-1.12) | 0.046 | 1.1 (0.99-1.12) | 0.055 | |
*Median; ƗFactors adjusted for.
Figure 1Age specific Sero-prevalence of infections There is an increase of sero-prevalence of rubella infection with an increase in age. The sero-prevalence increases by 1.6% with one year increase in age. The risk (odds ratios) of acquiring rubella infection increases by 12% with one year increase in age.