ArticleHeliyon2024
Food insecurity among low-income households in Addis Ababa, Ethiopia.
Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed, 8 citations in OpenAlex.
- Household food insecurity among refugees: examining variations across different climatic contexts in Ugandan refugee settlements.Global health action · 2026Article
- Early life socioeconomic status and risk of overweight and obesity across childhood and adolescence in four low and middle income countries.Scientific reports · 2026Article
- Multidimensional determinants of food insecurity among households in Somalia: evidence from the 2018/2019 Somalia health and demographic survey.Frontiers in nutrition · 2026Article
- Prevalence and its associated factors of inadequate dietary diversity among pregnant women attending antenatal care in selected public health facilities in Addis Ababa, Ethiopia.PLOS global public health · 2026Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
With the rapid urbanization in developing countries, poverty and food insecurity are becoming increasing prevalent, posing a major challenge to urban areas. The COVID-19 pandemic induced job losses and reduced income combined with inflation have further exacerbated the household food insecurity situation, particularly in cities of low-income countries. Our study aims to assess the extent of food insecurity and its determinants among low-income household in Addis Ababa, Ethiopia. We conducted a community-based cross-sectional study among a sample of 578 households in Addis Ababa. We estimated the household food insecurity status using the Household Food Insecurity Access Scale (HFIAS). An ordinal logistic regression model was used to assess the relationship between household food insecurity status and the socioeconomic and demographic covariates. The STATA 14 software package was used for data analysis. We found that household food insecurity was prevalent among low-income households in Addis Ababa, with a prevalence rate of 92.4 % (95 % CI: 90.2-94.6 %). Of these households, 33.6 % (95 % CI: 29.7-37.4 %) were severely food insecure. To cope with the food shortage, households were forced to reduce their food quantity and quality. We also found that respondent's education, engagement in income generating activities, and household wealth were independently associated with household food insecurity. We conclude that although supporting people living below the poverty line (pro-poor) remains the top priority for social protection programs, adapting the program to accommodate the working poor (informal sector employees and casual workers) is crucial, especially during shocks.
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