ArticleF1000Research2025
Analyzing Multidimensional Poverty and Its Determinants in Ethiopia: A Micro-level Analysis at Debre Tabor City Administration.
Article in F1000Research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
- Population attributable fraction of modifiable risk factors for dementia in the Democratic Republic of Congo: A community-based cross-sectional analysis.medRxiv : the preprint server for health sciences · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Poverty remained pervasive in affecting households particularly in developing countries like Ethiopia. Purpose: The main target of this study was to estimate the multidimensional poverty index of households in Debre Tabor city along with the analysis of determinants of multidimensional poverty. Method: The researchers selected 394 households from six Kebeles using a stratified random sampling technique. The Alkire and Foster dual cut-off method of measuring poverty was employed to estimate the multidimensional poverty index and ordered logistic regression was used to analyze the effects of determinants of multidimensional poverty. Five dimensions of poverty namely, income, education, health, living standards, and energy use were incorporated in measuring it. Results and conclusion: The result revealed that 59% of households were multidimensional poor with a poverty cut-off of 33%. The multidimensional poor households were underprivileged in 54% of weighted indicators. The energy use dimension was a serious contributor to the incidence and severity of multidimensional poverty. In addition, poverty incidence by illiterate-headed household heads, with single marital status, and casual wage worker-headed households was higher relative to their counterparts. Policy recommendation: We strongly recommended that education must be extensively provided not only to children but also to adults; females must be promoted to participate in business activities, credit must be expanded with an excellent follow-up, and households should participate in existing cooperatives.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.