Evidence map›Paper›PMID 41039288›Full record

ArticleBMC public health2025

Community's perceptions on health and ecological impacts of climate change and adaptation strategies in rural areas of the central Ethiopian region.

Isayas Hafebo Lambebo, Kasahun Eba, Gudina Terefe Tucho

Abstract read
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Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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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

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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

3 authors.

Isayas Hafebo LambeboJimma University, Jimma, 378, Ethiopia. isayashafebo@gmail.com.
Kasahun EbaJimma University, Jimma, 378, Ethiopia.
Gudina Terefe TuchoJimma University, Jimma, 378, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEthiopia struggles with floods, droughts, climate-related health issues, lacking sufficient research on community vulnerability, risk perceptions, and adaptation strategies.

methodsEmploying a mixed-methods approach including household surveys (N = 845), focus group discussions, and key informant interviews the research captures the socio-economic, ecological, and health dimensions of climate vulnerability in Highland, Midland, and Lowland climatic zones.

resultsFindings reveal stark regional disparities: Highland communities face heightened exposure to cold waves and water scarcity exacerbated by aging populations and poor housing; Lowland zones are afflicted by heat-related stressors, institutional collapse, and youth-dominated demographics; while Midland areas suffer from hydrological instability fostering disease transmission. Across all regions, systemic health issues such as food- and water-borne diseases (83%) and malnutrition (80%) emerge as pervasive threats. Statistical analysis via logistic regression identifies educational, income, health insurance access, credit availability, and climate information as significant predictors of adaptation. Notably, higher education boosts adaptive capacity by over 13-fold, while females and larger families show reduced engagement in adaptation practices. Local innovations, including Enset and mixed farming, offer culturally rooted strategies for resilience, though feasibility varies regionally.

conclusionThe study underscores the need for geographically tailored, integrated climate-health interventions supported by inclusive service delivery, climate-aware education, and gender-responsive programming. It also highlights a critical gap between perceived climate risks and scientifically grounded understanding of causes only 14% attribute climate change to human activities pointing to the importance of culturally attuned climate communication.

Indexed as

Climate ChangeRural PopulationAdolescentAdultAgedEthiopiaFemaleFocus GroupsHumansMaleMiddle AgedYoung AdultAdaptationCentral ethiopiaClimate changeKnowledgePerceptionPublic health

Identifiers

PMID41039288
PMCPMC12492604

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

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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.