The assessment of affected factors on cytomegalovirus and rubella virus prevalence in females in Hamadan, Iran.

Cytomegalovirus (CMV) and rubella are considered as dangerous viral infections to the fetus. The findings of this research can clear the possible progress made thus far toward prevention in this part of the country. The data of all referees to genetic center of Shahid Beheshti Hospital in Hamadan, including the rubella and CMV tests were recorded in questionnaires and analyzed by logistic regression models. Univariate and multivariate logistic regression were utilized to assess the affected factors on CMV and Rubella separately. STATA and SPSS16 statistical software were used with setting P-value as 0.05. Logistic regression analysis indicates a statistically significant relationship between CMV IgM and on occupation (P=0.045), pregnancy (P=0.03) and years of referring the patients (P<0.001). The results of multivariate logistic regression analysis showed that job was significantly affected on the CMV infection [OR (95% C.I) = 1.71(1.1-2.83)]. Univariate logistic regression showed that age (P=0.001), the residential area (P=0.03), pregnancy (P=0.03), the marital status (P=0.022) and years of referring the patients (P<0.0001) has a significant effect on rubella IgG. However, multivariate logistic regression analysis also showed that residential status (OR=1.77) and age (OR=0.63) were significantly affected on the Rubella infection. The high level of IgG positivity against rubella in females may highlight the considerable impact of increasing public vaccination in this part of Iran. Also, the current data demonstrating frequency of primary infections with CMV in females which support the conclusion that regular prenatal screening tests is justified.