IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0302368.html
   My bibliography  Save this article

Wealth-related inequality in vitamin A rich food consumption among children of age 6–23 months in Ethiopia; Wagstaff decomposition of the 2019 mini-DHS data

Author

Listed:
  • Mehari Woldemariam Merid
  • Fantu Mamo Aragaw
  • Tilahun Nega Godana
  • Anteneh Ayelign Kibret
  • Adugnaw Zeleke Alem
  • Melaku Hunie Asratie
  • Dagmawi Chilot
  • Daniel Gashaneh Belay

Abstract

Introduction: Vitamin A (VA) cannot be made in the human body and thus foods rich in VA are the only sources of vitamin A for the body. However, ensuring availability in adequate amount of foods rich in VA remains a challenge, mainly in low-income counties including Ethiopia. In addition, children from the poorest and less educated families of same country have disproportionately limited consumptions of foods rich in VA. Therefore, the present study aimed assessing the wealth related inequality in vitamin A consumption (VAC) and decompose it to the various contributing factors. Methods: This study was conducted using the 2019 Ethiopian demographic and health survey data on a weighted sample of 1,497 children of age 6–23 months in Ethiopia. The wealth related inequality in VAC was quantified using concentration index and plotted using concentration curve. The Wagstaff decomposition analysis was performed to assess the relative contributions of each explanatory variable to the inequalities in the overall concentration index of VAC. Result: The overall Wagstaff normalized concentration index (C) analyses of the wealth-related inequality in consumption of foods rich in VA among children aged 6–23 months was [C = 0.25; 95% C: 0.15, 0.35]. Further decomposition of the C by the explanatory variables reported the following contributions; primary level of women’s education (7.2%), secondary and above (17.8%), having ANC visit during pregnancy (62.1%), delivery at a health institution (26.53%), living in the metropolis (13.7%), central region (34.2%), child age 18–23 months (4.7%) contributed to the observed wealth related inequality in the consumption of foods rich in vitamin A in Ethiopia. Conclusion: We found pro-rich wealth-related inequality in VAC among children of age 6–23 months in Ethiopia. Additionally, maternal education, region, ANC visit, and place of delivery were the significant contributors of wealth-related inequality of VAC. Nutritional related interventions should prioritise children from poorer households and less educated mothers. Moreover, enhancing access to ANC and health facilities delivery services through education, advocacy, and campaign programs is highly recommended in the study setting.

Suggested Citation

  • Mehari Woldemariam Merid & Fantu Mamo Aragaw & Tilahun Nega Godana & Anteneh Ayelign Kibret & Adugnaw Zeleke Alem & Melaku Hunie Asratie & Dagmawi Chilot & Daniel Gashaneh Belay, 2024. "Wealth-related inequality in vitamin A rich food consumption among children of age 6–23 months in Ethiopia; Wagstaff decomposition of the 2019 mini-DHS data," PLOS ONE, Public Library of Science, vol. 19(10), pages 1-16, October.
  • Handle: RePEc:plo:pone00:0302368
    DOI: 10.1371/journal.pone.0302368
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0302368
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0302368&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0302368?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. Yongjian Xu & Siyu Zhu & Tao Zhang & Duolao Wang & Junteng Hu & Jianmin Gao & Zhongliang Zhou, 2020. "Explaining Income-Related Inequalities in Dietary Knowledge: Evidence from the China Health and Nutrition Survey," IJERPH, MDPI, vol. 17(2), pages 1-15, January.
    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. Renata A Carnauba & Flavia M Sarti & Neuza M A Hassimotto & Franco M Lajolo, 2023. "Bioactive compounds intake in the Brazilian population: Trends and determinants of socioeconomic inequalities between 2008 and 2018," PLOS ONE, Public Library of Science, vol. 18(10), pages 1-16, October.
    2. Yangyang Sun & Daxin Dong & Yulian Ding, 2021. "The Impact of Dietary Knowledge on Health: Evidence from the China Health and Nutrition Survey," IJERPH, MDPI, vol. 18(7), pages 1-17, April.
    3. Shizhen Wang & Ying Yang & Runhu Hu & Hongfei Long & Ni Wang & Quan Wang & Zongfu Mao, 2020. "Trends and Associated Factors of Dietary Knowledge among Chinese Older Residents: Results from the China Health and Nutrition Survey 2004–2015," IJERPH, MDPI, vol. 17(21), pages 1-13, October.
    4. Yongjian Xu & Siyu Zhu & Yiting Zhou & Andi Pramono & Zhongliang Zhou, 2020. "Changing Income-Related Inequality in Daily Nutrients Intake: A Longitudinal Analysis from China," IJERPH, MDPI, vol. 17(20), pages 1-16, October.
    5. Lei Li & Yilin Zheng & Shaojun Ma, 2022. "Indoor Air Purification and Residents’ Self-Rated Health: Evidence from the China Health and Nutrition Survey," IJERPH, MDPI, vol. 19(10), pages 1-17, May.
    6. Xiaoyu Liu & Liangjie Xin, 2024. "A more plant-based diet can boost public health and reduce environmental impact in China," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 16(2), pages 411-422, April.
    7. Hongyun Zheng & Wanglin Ma & Yanzhi Guo, 2023. "Does nutrition knowledge training improve dietary diversity and nutrition intake? Insights from rural China," Agribusiness, John Wiley & Sons, Ltd., vol. 39(S1), pages 1417-1436, December.

    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:pone00:0302368. 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.