Evidence map›Paper›PMID 39136755›Full record

ArticleInternational archives of occupational and environmental health2024

Personal inhalable paper dust exposure and potential determinants among paper industry workers in Ethiopia.

Ararso Tafese, Abera Kumie, Teferi Abegaz, Samson Wakuma Abaya, Bente E Moen, Wakgari Deressa, Magne Bråtveit

Abstract read
In one paragraph

Article in International archives of occupational and environmental health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers 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

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Ararso TafeseDepartment of Preventive Medicine, School of Public Health, Addis Ababa University, P.O. Box 90861000, Addis Ababa, Ethiopia.
Abera KumieDepartment of Preventive Medicine, School of Public Health, Addis Ababa University, P.O. Box 90861000, Addis Ababa, Ethiopia.
Teferi AbegazDepartment of Preventive Medicine, School of Public Health, Addis Ababa University, P.O. Box 90861000, Addis Ababa, Ethiopia.
Samson Wakuma AbayaDepartment of Preventive Medicine, School of Public Health, Addis Ababa University, P.O. Box 90861000, Addis Ababa, Ethiopia.
Bente E MoenOccupational and Environmental Medicine, Department of Global Public Health and Primary Care, University of Bergen, Bergen, 5020, Norway.
Wakgari DeressaDepartment of Preventive Medicine, School of Public Health, Addis Ababa University, P.O. Box 90861000, Addis Ababa, Ethiopia.
Magne BråtveitOccupational and Environmental Medicine, Department of Global Public Health and Primary Care, University of Bergen, Bergen, 5020, Norway. magne.bratveit@uib.no.ORCID 0000-0003-0761-0728

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeExcessive paper dust during paper production may harm the workers' respiratory health. We wanted to assess the inhalable paper dust levels and its determinants among paper industry workers.

methodsA study was conducted in Ethiopia to assess the level of personal inhalable paper dust exposure among four paper mills. A total of 150 samples were collected using the IOM sampler attached to Side Kick Casella pumps at a flow rate of 2 L/min. The samples were analyzed in Nemko Norlab, Norway. Linear mixed-effect models were applied to identify determinants of inhalable paper dust.

resultsThe geometric mean of personal inhalable paper dust was 3.3 mg/m

conclusionsThe dust exposure levels were above the Swedish OEL for 80% of the samples. This indicates that preventive measures should be established in the industry. The exposure model identified high-speed rewinding machines, a high number of machines, and work in preparation and packing as associated with high levels of paper dust exposure.

Indexed as

Air Pollutants, OccupationalDustInhalation ExposureOccupational ExposurePaperEnvironmental MonitoringEthiopiaHumansAir Pollutants, OccupationalDustExposure assessmentExposure modelOccupational exposurePaper dustPaper industry

Identifiers

PMID39136755
PMCPMC11560984

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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.