Evidence map›Paper›PMID 42453382›Full record

ArticleFood & nutrition research2025

Factors affecting food security and poverty analysis among rural households in the North-Eastern Highlands of Ethiopia.

Umar Demisse Mohammed, Arega Bazezew Berlie

Abstract read
In one paragraph

Article in Food & nutrition research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Umar Demisse MohammedDepartment of Geography and Environmental Studies, College of Social Science and Humanities, Woldia University, Woldia, Ethiopia.
Arega Bazezew BerlieDepartment of Geography and Environmental Studies, Faculty of Social Science, Bahir Dar University, Bahir Dar, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Ethiopia frequently experiences food insecurity due to recurrent droughts, food shortages, and famine. Understanding the determinants of food security and the extent of poverty is crucial for effective intervention. Objectives: This study aimed to identify key factors influencing food security and analyze poverty levels among rural households in the North-Eastern Highlands of Ethiopia. Methods: A mixed-methods research design was employed, utilizing both probability and non-probability sampling techniques to select 382 households, focus group discussants, and key informants. Quantitative data on food security and poverty indicators were analyzed using binary logistic regression (for determinants) and the Foster-Greer-Thorbecke (FGT) model (for poverty measurement). Results: The FGT analysis indicated that the incidence, depth, and severity of food insecurity were 55, 18, and 8%, respectively. The Conclusion: Household food security in the study area is significantly influenced by a complex interplay of socio-economic, agricultural, and environmental factors and poverty levels remain high in the study area. Interventions aimed at improving food security in the North-Eastern Highlands of Ethiopia should adopt a multi-faceted approach, addressing factors such as education, access to resources, agricultural productivity, and household vulnerability to shocks like conflict and illness. Collaborative efforts by government, non-governmental organizations, and local stakeholders are crucial for achieving sustainable improvements in food security.

Indexed as

depthEthiopiafactorsfood securityhouseholdsincidenceseverity

Identifiers

PMID42453382
PMCPMC13366815

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.