Prevalence of Anemia and Its Associated Factors among Pregnant Women Attending Antenatal Care in Health Institutions of Arba Minch Town, Gamo Gofa Zone, Ethiopia: A Cross-Sectional Study.

Abstract

Background. Anemia during pregnancy is a major cause of morbidity and mortality of pregnant women in developing countries and has both maternal and fetal consequences. Despite its known serious effect on health, there is very little research based evidence on this vital public health problem in Gamo Gofa zone in general and in Arba Minch town of Southern Ethiopia in particular. Therefore, this study aims to assess the prevalence and factors associated with anemia among pregnant women attending antenatal care in health institutions of Arba Minch town, Gamo Gofa zone, Southern Ethiopia. Method. Institution-based, cross-sectional study was conducted from February 16 to April 8, 2015, among 332 pregnant women who attended antenatal care at government health institutions of Arba Minch town. Interviewer-administered questionnaire supplemented by laboratory tests was used to obtain the data. Bivariate and multivariate logistic regressions were used to identify predictors of anemia. Result. The prevalence of anemia among antenatal care attendant pregnant women of Arba Minch town was 32.8%. Low average monthly income of the family (AOR = 4.0; 95% CI: 5.62–11.01), having birth interval less than two years (AOR = 3.1; 95% CI: 6.01, 10.23), iron supplementation (AOR = 2.31; 95% CI: 7.21, 9.31), and family size >2 (AOR = 2.8; 95% CI: 1.17, 6.81) were found to be independent predictors of anemia in pregnancy. Conclusion. Anemia is found to be a moderate public health problem in the study area. Low average monthly income, birth interval less than two years, iron supplementation, and large family size were found to be risk factors for anemia in pregnancy. Awareness creation towards birth spacing, nutritional counselling on consumption of iron-rich foods, and iron supplementation are recommended to prevent anemia among pregnant women with special emphasis on those having low income and large family size.