IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0296747.html
   My bibliography  Save this article

Multilevel analysis of anemia and associated factors among women of reproductive age (15–49 years) in Liberia: Evidence from the 2019/20 Liberia demographic and health survey data

Author

Listed:
  • Dagnew Getnet Adugna
  • Misganaw Asmamaw Mengstie
  • Fitalew Tadele Admasu
  • Maritu Gebnie Teshome
  • Hailu Aragie
  • Tadesse Asmamaw Dejenie

Abstract

Background: Anemia is a global public health problem, principally affecting young children and reproductive-age mothers. Although anemia is a main public health concern in low-income countries, there is no evidence about its prevalence and associated factors among women of reproductive age in Liberia. Thus, the purpose of this study was to identify the prevalence and associated factors of anemia among women of reproductive age in Liberia. Methods: We used the data extracted from the fifth Liberia Demographic and Health Survey (LDHS-V) that were carried out between October 2019 and February 2020. The sample was chosen using a stratified two-stage cluster sampling procedure. Overall weighted samples of 4027 women of reproductive age were used in the analysis. Data weighting was carried out to obtain reliable estimates and standard errors as well as to restore the representativeness of the data. Stata version 14 software was used for data extraction, coding, and analysis. We used multilevel analysis to identify the significant factors associated with anemia among women of reproductive age. Results: The prevalence of anemia among women of reproductive age in Liberia was 44.51 (95% CI: 42.97–46.04). From these, about 23.10% of women of reproductive age were mildly anemic, 20.63% were moderately anemic and 0.78% was severely anemic. In multivariable analysis; women with the groups of 20–24 years (adjusted odds ratio (AOR) = 0.72, 95% CI: 0.56, 0.92), 25–29 years (AOR = 0.57, 95% CI: 0.43, 0.77), 30–34 years (AOR = 0.59, 95% CI: 0.43, 0.83), 35–39 years (AOR = 0.56, 95% CI: 0.41, 0.79), 40–44 years (AOR = 0.61, 95% CI: 0.43,0.87), 45–49 years (AOR = 0.57, 95% CI: 0.39,0.82), overweight (AOR = 0.83; 95% CI: 0.70, 0.98), obese (AOR = 0.72; 95% CI: 0.58, 0.88), using modern contraceptive methods (AOR = 0.61; 95% CI: 0.52, 0.72), and being from the Northcentral region (AOR = 0.55; 95% CI: 0.43, 0.72) were significantly associated with lower odds of anemia. However, being pregnant (AOR = 1.34; 95% CI: 1.04, 1.73) and having higher parity (3 children or more) (AOR = 1.40; 95% CI: 1.03, 1.93) were significantly associated with higher odds of anemia. Conclusion: In the present study, the prevalence of anemia in women of reproductive age was relatively high. Therefore, it is better to provide special emphasis on high-risk groups such as pregnant and multiparous women.

Suggested Citation

  • Dagnew Getnet Adugna & Misganaw Asmamaw Mengstie & Fitalew Tadele Admasu & Maritu Gebnie Teshome & Hailu Aragie & Tadesse Asmamaw Dejenie, 2024. "Multilevel analysis of anemia and associated factors among women of reproductive age (15–49 years) in Liberia: Evidence from the 2019/20 Liberia demographic and health survey data," PLOS ONE, Public Library of Science, vol. 19(4), pages 1-14, April.
  • Handle: RePEc:plo:pone00:0296747
    DOI: 10.1371/journal.pone.0296747
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0296747
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0296747&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0296747?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., 2007. "Corrigendum to: "The Economics of iron deficiency" [Food Policy 28 (2003) 51-75]," Food Policy, Elsevier, vol. 32(1), pages 141-143, 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, José & 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(01), pages 1-17, March.
    5. Kumar, Kaushalendra & Singh, Ashish & Kumar Gautam, Santosh & Singh, Abhishek, 2025. "Calorie Consumption and Wages: Evidence from India’s Labor Market," IZA Discussion Papers 18100, Institute of Labor Economics (IZA).
    6. 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, April.
    7. Dasgupta, Aparajita & Majid, Farhan & Orman, Wafa Hakim, 2023. "The nutritional cost of beef bans in India," Journal of Development Economics, Elsevier, vol. 163(C).
    8. Narayanan, Sudha & Gerger, Nicolas & Rathore, Udayan & Naraparaju, Karthikeya, "undated". "Can social safety nets protect public health? The effect of India’s workfare and foodgrain subsidy programmes on anaemia," Discussion Papers 264342, University of Bonn, Center for Development Research (ZEF).
    9. 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.
    10. 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.
    11. Tsimpo, Clarence & Wodon, Quentin, 2016. "Coverage of Essential Early Childhood Development Interventions in Uganda," MPRA Paper 114692, University Library of Munich, Germany.
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    16. Nayana Bose & Shreyasee Das, 2024. "Reassessing the relationship between women's empowerment and fertility: Evidence from India," Review of Development Economics, Wiley Blackwell, vol. 28(2), pages 544-573, May.
    17. 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.
    18. World Bank, 2007. "United Republic of Tanzania : Advancing Nutrition for Long-Term Equitable Growth," World Bank Publications - Reports 7645, The World Bank Group.
    19. 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.
    20. Gustavo J. Bobonis & Edward Miguel & Charu Puri-Sharma, 2006. "Anemia and School Participation," Journal of Human Resources, University of Wisconsin Press, vol. 41(4).

    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:pone00:0296747. 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.