IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0238957.html
   My bibliography  Save this article

Anemia and its associated factors among women of reproductive age in eastern Africa: A multilevel mixed-effects generalized linear model

Author

Listed:
  • Achamyeleh Birhanu Teshale
  • Getayeneh Antehunegn Tesema
  • Misganaw Gebrie Worku
  • Yigizie Yeshaw
  • Zemenu Tadesse Tessema

Abstract

Background: Anemia in women of reproductive age is a major public health challenge for low- and middle-income countries with a long-term negative impact on the health of women, their children, and the economic growth of the society. Even though the world health organization targeted a 50% global reduction of anemia among women of reproductive age by 2025, with the current trend it is unlikely to achieve this goal. Objective: This study aimed to assess the prevalence and associated factors of anemia among women of reproductive age in eastern Africa. Methods: A secondary data analysis, using demographic and health survey (DHS) data of 10 eastern African countries, was conducted. For our study, a total weighted sample of 101524 women of reproductive age was used. We employed a multilevel mixed-effects generalized linear model (using Poisson regression with robust error variance). Both unadjusted and adjusted prevalence ratios with their 95% confidence interval were reported. Results: The prevalence of anemia in eastern Africa was 34.85 (95%CI: 34.56–35.14) ranging from 19.23% in Rwanda to 53.98% in Mozambique. In the multivariable multilevel analysis, being older age, having primary and above education, being from households with second to highest wealth quantiles, being currently working, not perceiving distance as a big problem, use of modern contraceptive methods, and rural residence was associated with a lower prevalence of anemia. While, being married and divorced/separated/widowed, women from female-headed households, women from households with unimproved toilet facility and unimproved water source, ever had of a terminated pregnancy, having high parity, and being from large household size was associated with a higher prevalence of anemia. Conclusion: The prevalence of anemia in eastern Africa was relatively high. Both individual level and community level factors were associated with the prevalence of anemia in women of reproductive age. Therefore, giving special attention to those women who are at a higher prevalence of anemia such as younger women, those who are from households with low socioeconomic status, unimproved toilet facility, and source of drinking water, as well as pregnant women could decrease anemia in women of reproductive age.

Suggested Citation

  • Achamyeleh Birhanu Teshale & Getayeneh Antehunegn Tesema & Misganaw Gebrie Worku & Yigizie Yeshaw & Zemenu Tadesse Tessema, 2020. "Anemia and its associated factors among women of reproductive age in eastern Africa: A multilevel mixed-effects generalized linear model," PLOS ONE, Public Library of Science, vol. 15(9), pages 1-16, September.
  • Handle: RePEc:plo:pone00:0238957
    DOI: 10.1371/journal.pone.0238957
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0238957
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0238957&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0238957?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Horton, S. & Ross, J., 2003. "The economics of iron deficiency," Food Policy, Elsevier, vol. 28(1), pages 51-75, February.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Breisinger, Clemens & Ecker, Olivier & Funes, Jose & Yu, Bingxin, 2010. "Food as the basis for development and security: A strategy for Yemen," IFPRI discussion papers 1036, International Food Policy Research Institute (IFPRI).
    2. Bénédicte Apouey & Gabriel Picone & Joshua Wilde & Joseph Coleman & Robyn Kibler, 2017. "Paludisme et anémie des enfants en Afrique subsaharienne : effet de la distribution de moustiquaires," Revue économique, Presses de Sciences-Po, vol. 68(2), pages 163-197.
    3. Guaracyane Lima Campelo & João Mário Santos De França & Emerson Luís Lemos Marinho, 2016. "Impacts Of Malnutrition On Labor Productivity: Empirical Evidences In Rural Brazil," Anais do XLII Encontro Nacional de Economia [Proceedings of the 42nd Brazilian Economics Meeting] 236, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    4. Nguema, Abigail & Norton, George W. & Fregene, Martin & Sayre, Richard & Manary, Mark, 2011. "Expected economic benefits of meeting nutritional needs through biofortified cassava in Nigeria and Kenya," African Journal of Agricultural and Resource Economics, African Association of Agricultural Economists, vol. 6(1), pages 1-17, March.
    5. World Bank, 2006. "Repositioning Nutrition as Central to Development : A Strategy for Large Scale Action," World Bank Publications - Books, The World Bank Group, number 7409, December.
    6. Dasgupta, Aparajita & Majid, Farhan & Orman, Wafa Hakim, 2023. "The nutritional cost of beef bans in India," Journal of Development Economics, Elsevier, vol. 163(C).
    7. Sudha Narayanan & Nicolas Gerber & Udayan Rathore & Karthikeya Naraparaju, 2017. "Can social safety nets protect public health? The effect of India's workfare and foodgrain subsidy programmes on anaemia," Indira Gandhi Institute of Development Research, Mumbai Working Papers 2017-021, Indira Gandhi Institute of Development Research, Mumbai, India.
    8. Matin Qaim & Alexander J. Stein & J. V. Meenakshi, 2007. "Economics of biofortification," Agricultural Economics, International Association of Agricultural Economists, vol. 37(s1), pages 119-133, December.
    9. Duclos, Jean-Yves & Sahn, David E. & Younger, Stephen D., 2011. "Partial multidimensional inequality orderings," Journal of Public Economics, Elsevier, vol. 95(3), pages 225-238.
    10. Tsimpo, Clarence & Wodon, Quentin, 2016. "Coverage of Essential Early Childhood Development Interventions in Uganda," MPRA Paper 114692, University Library of Munich, Germany.
    11. Krämer, Marion & Kumar, Santosh & Vollmer, Sebastian, 2021. "Anemia, diet, and cognitive development: Impact of health information on diet quality and child nutrition in rural India," Journal of Economic Behavior & Organization, Elsevier, vol. 190(C), pages 495-523.
    12. Meitria Syahadatina Noor & I Gede Bagus Raiputra Pratama & Dessy Amalina & Vivi Arfiani Ahmad, 2018. "Instigation of Sulfas Ferosus Tablet Consumption Using Video and Sulfas Ferosus Tablet Diary; Case Report in Banjarmasin Indah Public Health Centre, Banjarmasin, South Kalimantan, Indonesia," International Journal of Health and Medical Sciences, Mohammad A. H. Khan, vol. 4(3), pages 77-84.
    13. Jha, Raghbendra & Gaiha, Raghav & Sharma, Anurag, 2009. "Calorie and Micronutrient Deprivation and Poverty Nutrition Traps in Rural India," World Development, Elsevier, vol. 37(5), pages 982-991, May.
    14. Karina Acosta-Ordonez, 2015. "Nutrición y desarrollo en el Pacífico colombiano," Documentos de Trabajo Sobre Economía Regional y Urbana 13315, Banco de la República, Economía Regional.
    15. Stein, Alexander J. & Meenakshi, J.V. & Qaim, Matin & Nestel, Penelope & Sachdev, H.P.S. & Bhutta, Zulfiqar A., 2008. "Potential impacts of iron biofortification in India," Social Science & Medicine, Elsevier, vol. 66(8), pages 1797-1808, April.
    16. World Bank, 2007. "United Republic of Tanzania : Advancing Nutrition for Long-Term Equitable Growth," World Bank Publications - Reports 7645, The World Bank Group.
    17. Raghbendra Jha & Katsushi S. Imai & Raghav Gaiha, 2014. "Poverty nutrition traps," Chapters, in: Raghbendra Jha & Raghav Gaiha & Anil B. Deolalikar (ed.), Handbook on Food, chapter 10, pages 246-259, Edward Elgar Publishing.
    18. Gustavo J. Bobonis & Edward Miguel & Charu Puri-Sharma, 2006. "Anemia and School Participation," Journal of Human Resources, University of Wisconsin Press, vol. 41(4).
    19. Ecker, Olivier & Qaim, Matin, 2011. "Analyzing Nutritional Impacts of Policies: An Empirical Study for Malawi," World Development, Elsevier, vol. 39(3), pages 412-428, March.
    20. Hoffmann, Vivian, 2009. "What You Don’t Know Can Hurt You: Micronutrient Content and Fungal Contamination of Foods in Developing Countries," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 38(2), pages 1-9, October.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0238957. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.