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Pregnant mothers are more anemic than lactating mothers, a comparative cross-sectional study, Bahir Dar, Ethiopia

Overview of attention for article published in BMC Hematology, January 2018
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Title
Pregnant mothers are more anemic than lactating mothers, a comparative cross-sectional study, Bahir Dar, Ethiopia
Published in
BMC Hematology, January 2018
DOI 10.1186/s12878-018-0096-1
Pubmed ID
Authors

Berhanu Elfu Feleke, Teferi Elfu Feleke

Abstract

Information on the hemoglobin status of pregnant and lactating mothers was scarce. The objectives of this study were to determine the burden and determinants of anemia in the pregnant and lactating mother. A comparative cross-sectional study was conducted. Descriptive statistics were used to identify the prevalence of anemia. Binary logistic regression and multiple linear regressions were used to identify the predictors of anemia. The prevalence of anemia in lactating and pregnant women was 43.00% (95% CI {confidence interval}, 41% - 45%) and 84% of anemia was microcytic and hypocromic anemia. Anemia in lactating and pregnant women was positively associated with malaria infection [AOR{adjusted odds ratio} 3.61 (95% CI: 2.63-4.95)], abortion [AOR 6.63 (95% CI: 3.23-13.6)], hookworm infection [AOR 3.37 (95% CI: 2.33-4.88)], tea consumption [AOR 3.63 (95% CI: 2.56-5.14)], pregnancy [AOR 2.24 (95% CI: 1.57-3.12)], and Mid-upper arm circumference [ B 0.36 (95% CI: 0.33, -0.4)]. Anemia in pregnant and lactating mother was negatively associated with urban residence [AOR 0.68, (95% CI: 0.5-0.94)], iron supplementation during pregnancy [AOR 0.03 (95% CI, 0.02-0.04)], parity [ B -0.18 (95% CI: -0.23, -0.14)], age [B -0.03 (95% CI: -0.04, -0.03)]. The burden of anemia was higher in pregnant women than lactating women.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 120 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 120 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 25 21%
Student > Bachelor 17 14%
Lecturer 8 7%
Researcher 7 6%
Unspecified 7 6%
Other 14 12%
Unknown 42 35%
Readers by discipline Count As %
Nursing and Health Professions 30 25%
Medicine and Dentistry 19 16%
Biochemistry, Genetics and Molecular Biology 5 4%
Design 5 4%
Social Sciences 4 3%
Other 12 10%
Unknown 45 38%