Evidence map›Paper›PMID 41907671›Full record

ArticleSafety and health at work2026

Real-Time Assessment of Black Carbon Peaks Among Workers Exposed to Diesel Engine Exhaust Emissions.

Ju-Hyun Park, Sangjun Choi, Kyung Ehi Zoh, Seung Won Kim, Dong-Hee Koh, Won Kim, Dong-Uk Park

Abstract read
In one paragraph

Article in Safety and health at work, 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

7 authors.

Ju-Hyun ParkDepartment of Statistics, Dongguk University, Seoul, Republic of Korea.
Sangjun ChoiGraduate School of Public Health and Healthcare Management, The Catholic University of Korea, Seoul, Republic of Korea.
Kyung Ehi ZohDepartment of Environmental Health, Graduate School of Public Health, Seoul National University, Seoul, Republic of Korea.
Seung Won KimDepartment of Public Health, Keimyung University, Daegu, Republic of Korea.
Dong-Hee KohDepartment of Occupational and Environmental Medicine, Severance Hospital, Yonsei University, Seoul, Republic of Korea.
Won KimWonjin Institute for Occupational and Environmental Health, Seoul, Republic of Korea.
Dong-Uk ParkDepartment of Environmental Health, Korea National Open University, Seoul, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Workers are commonly exposed to diesel engine exhaust (DEE) from diesel-powered engines and vehicles (DEVs), which contain harmful particulates such as black carbon (BC). This study aimed to characterize the peak BC exposures of workers operating or working near DEVs. Methods: BC levels were recorded every minute from workers driving or working near DEVs using a portable aethalometer and were categorized by job type and activity. Peak BC levels were characterized using the occupational exposure limits for DEE (measured as elemental carbon) of 10 μg/m Results: Forklift operators, garbage collectors, and machine operators showed peak BC exposure levels surpassing 20 μg/m Conclusion: Drivers of diesel-engine vehicles often experienced significant spikes in BC exposure, highlighting the need for real-time monitoring, which is recommended as a best-practice approach to identify and mitigate short-term peak exposures.

Indexed as

Black carbon (BC)Diesel engine exhaust (DEE) emissionsPeak exposureTime-activity exposure pattern

Identifiers

PMID41907671
PMCPMC13023072

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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.