Evidence map›Paper›PMID 39833918›Full record

ArticleBMC nutrition2025

Individual and community level factors associated with household level food insecurity of Ethiopia: multilevel mixed effects analysis of 2021 Performance Monitoring for Action Ethiopia (PMA-ET).

Eyob Ketema Bogale, Tadele Fentabel Anagaw, Misganaw Guadie Tiruneh, Eneyew Talie Fenta, Destaw Endeshaw, Ousman Adal, Abiyu Abadi Tareke, Natnael Kebede, Amare Mebrat Delie

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Article in BMC nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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0cells of the map it votes in
4citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Eyob Ketema BogaleHealth Promotion and Behavioral Science Department, School of Public Health, College of Medicine and Health Science, Bahir Dar University, P.O. Box 79, Bahir Dar, Ethiopia. ketema.eyob@gmail.com.
Tadele Fentabel AnagawHealth Promotion and Behavioral Science Department, School of Public Health, College of Medicine and Health Science, Bahir Dar University, P.O. Box 79, Bahir Dar, Ethiopia.
Misganaw Guadie TirunehDepartment of Health Systems and Policy, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
Eneyew Talie FentaDepartment of Public Health College of Medicine and Health Science, Injibara University, Injibara, Ethiopia.
Destaw EndeshawDepartment of Adult Health Nursing, School of Health Sciences, College of Medicine and Health Sciences, Bahir Dar University, P.O. Box 79, Bahir Dar, Ethiopia.
Ousman AdalDepartment of Emergency and Critical Care, College of Medicine and Health Sciences, Bahir Dar University, P.O. Box 79, Bahir Dar, Ethiopia.
Abiyu Abadi TarekeAmref Health Africa in Ethiopia, SLL project, COVID-19 vaccine/EPI technical assistant at West Gondar Zonal Health Department, Gondar, Ethiopia.
Natnael KebedeDepartment of Health Promotion, School of Public Health College of Medicine Health Sciences, Wollo University, Dessie, Ethiopia.
Amare Mebrat DelieLecturer of Biostatistics, Department of Public Health, College of Medicine and Health Science, Injibara University, Injibara, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPeople who face restricted or uncertain physical and economic access to safe, sufficient, and nutritious food to suit their dietary needs or food choices for a productive, healthy, and active life are said to be in a state or situation of food insecurity. There is a dearth of evidence of individual and community-level factors associated with household-level food insecurity in Ethiopia. Thus, this study aimed to assess individual and community-level factors associated with household-level food insecurity to fill the aforementioned gap.

methodsThis study analyzed the 2021 Performance Monitoring for Action Ethiopia (PMA-ET) datasets. A total of 24,965 participants in the 2021 Performance Monitoring for Action Ethiopia (PMA-ET) datasets were included in the analysis. STATA version 17.0 was used to analyze the data. A multi-level mixed-effects logistic regression analysis was used to assess the individual and community-level factors associated with household-level food insecurity. An adjusted odds ratio with a 95% confidence interval was used to show the strength and direction of the association, and statistical significance was declared at a P value less than 0.05.

resultsThe prevalence of household-level food insecurity in Ethiopia based on 2021 PMA-ET data was 40.9%. Households who have not been educated (AOR: 5.62 with 95% CI: 2.74, 11.5), having primary educational status (AOR: 2.58 with 95% CI: 1.35, 4.92), having secondary educational status (AOR: 2.20 with 95% CI: 1.17, 4.14), households having middle wealth status (AOR: 3.00 with 95% CI: 1.05, 8.50), households having poor wealth status (AOR: 5.18 with 95% CI: 2.00, 13.4), households doesn't owned any livestock (AOR: 1.68 with 95% CI: 1.09, 2.84), and complete household income loss since COVID-19 restrictions began (AOR: 3.63 with 95% CI: 1.76, 7.50) were statistically associated with household-level food insecurity.

conclusionThe prevalence of household-level food insecurity in Ethiopia was high. Hence, governmental and non-governmental organizations should focus on increasing the literacy status of the community since having low literacy status, including being not educated, has been found to contribute to food insecurity. The link between households that have not owned any livestock and food insecurity is one of our findings, suggesting that there is a need to participate in nonagricultural enterprises, including livestock production. Furthermore, besides government support, households should better to develop an emergency response plan for food security during any emergency including pandemics by increasing their source of income to avert the impact of different socioeconomic derangements.

Indexed as

EthiopiaHousehold-level food insecurityIndividual and community level factorsMultilevel mixed effects analysisPerformance monitoring for action in Ethiopia

Identifiers

PMID39833918
PMCPMC11744979

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.