Evidence map›Paper›PMID 42082562›Full record

ArticleScientific reports2026

Assessment of particulate matter exposure levels and associated respiratory symptoms among oil seed processing factories workers.

Bizuneh Ayano, Seblework Mekonen, Dessalegn Dadi

Abstract read
In one paragraph

Article in Scientific reports, 2026. 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

3 authors.

Bizuneh AyanoDepartment of Environmental Health Science and Technology, Jimma University, Jimma, Ethiopia. bizunehayano@gmail.com.ORCID https://orcid.org/0000-0002-3156-0102
Seblework Mekonen *Institute of Water, Environment and Climate Research, Center for Water Research, Water and Public Health, Addis Ababa University, Addis Ababa, Ethiopia.
Dessalegn Dadi *Department of Environmental Health Science and Technology, Jimma University, Jimma, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Studies have shown that levels of fungal contamination and mycotoxin concentrations in oil-producing seeds vary across regions. In addition, extreme exposure to seeds dust particulate matter can lead to respiratory health problems. In Ethiopia oil-seeds processing factories workers exposure to particulate matter and magnitude of its respiratory symptoms have not been widely explored. To determine particulate matter concentration exposure levels and identify factors associated with respiratory symptoms among oil-seed processing factories workers. Using cross-sectional study design, 14 factories and 716 participants were selected through simple random sampling. Qualitative data were collected through checklist-based observation, in-depth interviews & FGDs and analyzed using qualitative content analysis. Direct particulate matter concentrations were measured using PATS + , Dylos DC1900, and Laser PM2.5 Meter-5800D/5800E devices. Descriptive statistics were used for data summarization, and analysis was conducted using STATA version 16.1. Binary logistic regression &multivariable logistic regression analysis were performed to identify associated factors, with p < 0.05 considered statistically significant. Among 716 participants, 49.9% were female. The mean PM₂.₅ and PM₁₀ concentrations in oil-seeds processing factories were 19.72 ± 11.8 µg/m

Indexed as

Air Pollutants, OccupationalOccupational ExposureParticulate MatterSeedsAdultCross-Sectional StudiesEthiopiaFemaleHumansMaleMiddle AgedWorking ConditionsAir Pollutants, OccupationalParticulate MatterConcentrationFactoriesFactorsOil seedsParticulate matterRespiratory symptoms

Identifiers

PMID42082562
PMCPMC13358103

What OpenQuestion holds

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LicenceCC BY
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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.