Literature DB >> 24796168

Prevalence and correlates of maternal anemia in rural Sidama, Southern Ethiopia.

Samson Gebremedhin, Fikre Enquselassie, Melaku Umeta.   

Abstract

In order to assess the prevalence and correlates of prenatal anemia, a survey was conducted among 700 randomly selected pregnant women in rural Sidama, Southern Ethiopia. The prevalences of anemia, Iron Deficiency (ID) and ID anemia were 31.6%, 17.4% and 8.7%, respectively. The burden of anemia was significantly high among illiterates, women devoid of self-income, lowlanders, multiparas and women aged 25-34 years. Women who weren't on iron-folate supplementation had 1.90 (95% Confidence Interval (CI): 1.14-3.19) times increased odds of anemia. Anemia was associated with ID, zinc deficiency and elevated C-reactive protein with odds ratio of 2.46 (95% CI: 1.63-3.73), 2.29 (95% CI: 1.62-3.23) and 1.98 (95% CI: 1.12-3.47) respectively; however, it was not associated with vitamin A deficiency. Though ID was a significant correlate of anemia, only 11.8% of anemia was attributable to it. Zinc, iron and vitamin A deficiencies did not show synergistic interaction in associating with anemia.

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Year:  2014        PMID: 24796168

Source DB:  PubMed          Journal:  Afr J Reprod Health        ISSN: 1118-4841


  19 in total

1.  Anemia among Pregnant Women Attending Ante Natal Care Clinic in Adare General Hospital, Southern Ethiopia: Prevalence and Associated Factors.

Authors:  Assefa Philipos Kare; Amelo Bolka Gujo
Journal:  Health Serv Insights       Date:  2021-07-29

2.  Prevalence of Anemia and Associated Factors among Pregnant Women in North Western Zone of Tigray, Northern Ethiopia: A Cross-Sectional Study.

Authors:  Abel Gebre; Afework Mulugeta
Journal:  J Nutr Metab       Date:  2015-06-07

Review 3.  Role of Vitamin A/Retinoic Acid in Regulation of Embryonic and Adult Hematopoiesis.

Authors:  Ana Cañete; Elena Cano; Ramón Muñoz-Chápuli; Rita Carmona
Journal:  Nutrients       Date:  2017-02-20       Impact factor: 5.717

4.  Determinants of prenatal anemia in Ethiopia.

Authors:  Abera Abay; Haile Woldie Yalew; Amare Tariku; Ejigu Gebeye
Journal:  Arch Public Health       Date:  2017-11-06

5.  Anemia and its association with coffee consumption and hookworm infection among pregnant women attending antenatal care at Debre Markos Referral Hospital, Northwest Ethiopia.

Authors:  Gemechu Kumera; Kalkidan Haile; Nurilgn Abebe; Tefera Marie; Tewodros Eshete
Journal:  PLoS One       Date:  2018-11-08       Impact factor: 3.240

6.  Spatial distribution and determinant factors of anaemia among women of reproductive age in Ethiopia: a multilevel and spatial analysis.

Authors:  Kelemu Tilahun Kibret; Catherine Chojenta; Ellie D'Arcy; Deborah Loxton
Journal:  BMJ Open       Date:  2019-04-04       Impact factor: 2.692

7.  Dietary Diversity and Anthropometric Status of Mother-Child Pairs from Enset (False Banana) Staple Areas: A Panel Evidence from Southern Ethiopia.

Authors:  Tafese Bosha; Christine Lambert; Simon Riedel; Aberra Melesse; Hans K Biesalski
Journal:  Int J Environ Res Public Health       Date:  2019-06-19       Impact factor: 3.390

8.  Prevalence and determinants of anemia among pregnant women in Ethiopia; a systematic review and meta-analysis.

Authors:  Getachew Mullu Kassa; Achenef Asmamaw Muche; Abadi Kidanemariam Berhe; Gedefaw Abeje Fekadu
Journal:  BMC Hematol       Date:  2017-10-17

Review 9.  Micronutrient Status and Dietary Intake of Iron, Vitamin A, Iodine, Folate and Zinc in Women of Reproductive Age and Pregnant Women in Ethiopia, Kenya, Nigeria and South Africa: A Systematic Review of Data from 2005 to 2015.

Authors:  Rajwinder Harika; Mieke Faber; Folake Samuel; Judith Kimiywe; Afework Mulugeta; Ans Eilander
Journal:  Nutrients       Date:  2017-10-05       Impact factor: 5.717

10.  Iron deficiency was not the major cause of anemia in rural women of reproductive age in Sidama zone, southern Ethiopia: A cross-sectional study.

Authors:  Tafere Gebreegziabher; Barbara J Stoecker
Journal:  PLoS One       Date:  2017-09-12       Impact factor: 3.240

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