IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0256634.html
   My bibliography  Save this article

Food insecurity status and determinants among Urban Productive Safety Net Program beneficiary households in Addis Ababa, Ethiopia

Author

Listed:
  • Atimen Derso
  • Hailemichael Bizuneh
  • Awoke Keleb
  • Ayechew Ademas
  • Metadel Adane

Abstract

Background: Measuring household food insecurity in specific geographic areas provides vital information that enables appropriate and effective intervention measures to be taken. To that end, this study aimed to assess the prevalence of food insecurity and associated factors among Urban Productive Safety Net Program (UPSNP) beneficiary households in Addis Ababa, Ethiopia’s capital city. Methods: A community-based cross-sectional study was conducted among 624 UPSNP beneficiary households in nine districts of Addis Ababa from June to July 2019. A multi-stage sampling method was used; study participants were selected using a simple random sampling technique after establishing the proportionally allocated sample size for 9 districts. Data were collected by trained personnel using a pretested, structured questionnaire. The outcome variable was food insecurity as measured by Household Food Insecurity Access Scale (HFIAS), a tool developed by the Food and Nutrition Technical Assistance Scale (FANTA) and validated for developing countries, including Ethiopia. A binary (crude odds ratio [COR]) and multivariable (adjusted odds ratio [AOR]) logistic regression analysis were employed at 95% CI (confidence interval). From the bivariate analysis, factors having a p-value 0.05. Results: The prevalence of household food insecurity was 77.1% [95%CI:73.8–80.7] during the month prior to the survey. Illiteracy of household head [AOR: 2.56; 95%CI:1.08–6.07], family size of 4 or more [AOR: 1.87, 95%CI:1.08–3.23], high dependency ratio [AOR: 3.95; 95%CI:1.31–11.90], household lack of access to credit [AOR:2.85; 95%CI:1.25–6.49], low household income [AOR: 4.72; 95%CI:2.32–9.60] and medium household income [AOR: 9.78; 95%CI:4.29–22.35] were significantly associated with household food insecurity. Conclusion: We found that three in four of Addis Ababa’s UPSNP beneficiary households were food-insecure. Implementation of measures to improve household income, minimize the dependency ratio of households, and arrange access to credit services are paramount ways to tackle food insecurity problems in Addis Ababa.

Suggested Citation

  • Atimen Derso & Hailemichael Bizuneh & Awoke Keleb & Ayechew Ademas & Metadel Adane, 2021. "Food insecurity status and determinants among Urban Productive Safety Net Program beneficiary households in Addis Ababa, Ethiopia," PLOS ONE, Public Library of Science, vol. 16(9), pages 1-17, September.
    • Handle: RePEc:plo:pone00:0256634
    DOI: 10.1371/journal.pone.0256634
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0256634
    Download Restriction: no
    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0256634&type=printable
    Download Restriction: no
    File URL: https://libkey.io/10.1371/journal.pone.0256634?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. Smith, Michael D. & Kassa, Woubet & Winters, Paul, 2017. "Assessing food insecurity in Latin America and the Caribbean using FAO’s Food Insecurity Experience Scale," Food Policy, Elsevier, vol. 71(C), pages 48-61.
    2. World Bank, 2018. "Poverty and Shared Prosperity 2018 [Rapport 2018 sur la pauvreté et la prospérité partagée]," World Bank Publications - Books, The World Bank Group, number 30418.
    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. Kibria, Abu SMG & Costanza, Robert & Soto, José R, 2022. "Modeling the complex associations of human wellbeing dimensions in a coupled human-natural system: In contexts of marginalized communities," Ecological Modelling, Elsevier, vol. 466(C).
    2. Olalekan Charles Okunlola & Anthony E. Akinlo, 2021. "Does economic freedom enhance quality of life in Africa?," International Review of Economics, Springer;Happiness Economics and Interpersonal Relations (HEIRS), vol. 68(3), pages 357-387, September.
    3. Alkire, Sabina & Nogales, Ricardo & Quinn, Natalie Naïri & Suppa, Nicolai, 2021. "Global multidimensional poverty and COVID-19: A decade of progress at risk?," Social Science & Medicine, Elsevier, vol. 291(C).
    4. Benoit Decerf, 2021. "Combining absolute and relative poverty: income poverty measurement with two poverty lines," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 56(2), pages 325-362, February.
    5. Dutta, Indranil & Nogales, Ricardo & Yalonetzky, Gaston, 2021. "Endogenous weights and multidimensional poverty: A cautionary tale," Journal of Development Economics, Elsevier, vol. 151(C).
    6. Chei Bukari & Millicent Abigail Aning-Agyei & Christian Kyeremeh & Gloria Essilfie & Kofi Fosu Amuquandoh & Anthony Akwesi Owusu & Isaac Christopher Otoo & Kpanja Ibrahim Bukari, 2022. "Effect of COVID-19 on Household Food Insecurity and Poverty: Evidence from Ghana," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 159(3), pages 991-1015, February.
    7. Brandolini, Andrea & Micklewright, John, 2020. "Tony Atkinson's New Book, Measuring Poverty around the World: Some Further Reflections," IZA Discussion Papers 12890, Institute of Labor Economics (IZA).
    8. Tolkyn Kakizhanova & Asel Sagynbay & Shynggys Nurgazy & Gulmira Andabayeva & Galiya Dauliyeva, 2024. "Impact of Energy Consumption and Food Security on Income Inequality: NARDL Approach from Kazakhstan," International Journal of Energy Economics and Policy, Econjournals, vol. 14(6), pages 184-194, November.
    9. Oliver Fiala & Enrique Delamónica & Gerardo Escaroz & Ismael Cid Martinez & José Espinoza-Delgado & Aristide Kielem, 2021. "Children in Monetary Poor Households: Baseline and COVID-19 Impact for 2020 and 2021," Economics of Disasters and Climate Change, Springer, vol. 5(2), pages 161-176, July.
    10. Jan Anton van Zanten & Rob van Tulder, 2020. "Beyond COVID-19: Applying “SDG logics” for resilient transformations," Journal of International Business Policy, Palgrave Macmillan, vol. 3(4), pages 451-464, December.
    11. Olivier Bargain & Guy Lacroix & Luca Tiberti, 2021. "Intrahousehold Resource Allocation and Individual Poverty: Assessing Collective Model Predictions against Direct Evidence on Sharing," Working Papers hal-03432676, HAL.
    12. Wenguang Zhang & Ting Lei & Yu Gong & Jun Zhang & Yirong Wu, 2022. "Using Explainable Artificial Intelligence to Identify Key Characteristics of Deep Poverty for Each Household," Sustainability, MDPI, vol. 14(16), pages 1-21, August.
    13. Yixia Cai & Timothy Smeeding, 2019. "Deep and Extreme Child Poverty in Rich and Poor Nations: Lessons from Atkinson for the Fight Against Child Poverty," LIS Working papers 780, LIS Cross-National Data Center in Luxembourg.
    14. Hasan, Zubair, 2019. "Human development in Muslim countries: need fulfillment versus basic universal income from Islamic perspective," MPRA Paper 97026, University Library of Munich, Germany, revised Sep 2019.
    15. Angela Daley & Thesia Garner & Shelley Phipps & Eva Sierminska, 2020. "Differences across countries and time in household expenditure patterns: implications for the estimation of equivalence scales," International Review of Applied Economics, Taylor & Francis Journals, vol. 34(6), pages 734-757, November.
    16. Noha Emara & Mahmoud Mohieldin, 2020. "Financial inclusion and extreme poverty in the MENA region: a gap analysis approach," Review of Economics and Political Science, Emerald Group Publishing Limited, vol. 5(3), pages 207-230, July.
    17. Migbaru Alamirew Workneh & Zerayehu Sime Eshete, 2021. "Household Level Non-Monetary Poverty in Ethiopia and its Driving Factors: a Multidimensional Approach with Panel Estimation," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 154(1), pages 145-168, February.
    18. Nguyen, Hoa-Thi-Minh & Do, Huong & Kompas, Tom, 2021. "Economic efficiency versus social equity: The productivity challenge for rice production in a ‘greying’ rural Vietnam," World Development, Elsevier, vol. 148(C).
    19. Baez, Javier E. & Kshirsagar, Varun & Skoufias, Emmanuel, 2024. "Drought-sensitive targeting and child growth faltering in Southern Africa," World Development, Elsevier, vol. 182(C).
    20. Ayenew, Ashenafi Belayneh, 2021. "Welfare Impact of Hosting Refugees in Ethiopia," EconStor Preprints 228519, ZBW - Leibniz Information Centre for Economics.

    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:pone00:0256634. 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.