Evidence map›Paper›PMID 41325328›Full record

ArticlePloS one2025

Analysis of PM-bound polycyclic aromatic hydrocarbons exposure among motorcycle taxi drivers in six central provinces in Thailand in winter.

Kamonwan Samana, Kimihito Ito, Orasa Suthienkul, Arroon Ketsakorn

Abstract read
In one paragraph

Article in PloS one, 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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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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

4 authors.

Kamonwan SamanaFaculty of Public Health, Thammasat University, Pathum Thani, Thailand.ORCID https://orcid.org/0009-0002-3274-2976
Kimihito ItoDivision of Bioinformatics, International Institute for Zoonosis Control, Hokkaido University, Sapporo, Japan.ORCID https://orcid.org/0000-0003-4986-1795
Orasa SuthienkulFaculty of Public Health, Mahidol University, Bangkok, Thailand.
Arroon KetsakornFaculty of Public Health, Thammasat University, Pathum Thani, Thailand.ORCID https://orcid.org/0000-0002-4418-2278

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Motorcycle taxis are popular transportation in areas with heavy traffic in Thailand. In this study, we recruited motorcycle taxi drivers in six central provinces in Thailand between January and March 2023 and measured their particulate matter (PM) and PM-bound polycyclic aromatic hydrocarbon (PAH) exposures using personal air sampling. We found that the PM10 and PM2.5 concentrations measured by personal air sampling were independent of those monitored at air quality monitoring stations or by area air sampling devices. Among the six provinces, motorcycle taxi drivers in Pathum Thani were exposed to the highest mean concentration of PM10 (224.9 µg/m3), PM2.5 (410.9 µg/m3), PM10-bound total PAH (38.4 ng/m3), and PM2.5-bound total PAH (36.9 ng/m3). Four workstations (PTT-1 to PTT-4) using 22 samples of PM₁₀ and 25 samples of PM₂.₅ personal air samplers showed unexpectedly higher PM₂.₅ than PM₁₀, likely due to route-specific environmental factors, as drivers follow variable routes determined by passenger destinations and daily demand. The incremental lifetime cancer risk of PM10-bound PAH and PM2.5-bound PAH in Pathum Thani were 4.5 × 10-8 and 7.8 × 10-8, respectively, which were acceptable levels. None of the individuals' lung function parameters was significantly correlated with the individuals' concentrations of PM10, PM2.5, PM10-bound total PAH, or PM2.5-bound total PAH. However, province averages of PM10-bound total PAH exposure of motorcycle taxi drivers were positively correlated with the proportions of participants who answered symptoms of chronic bronchitis in the province. The causal relationship between motorcycle taxi drivers' PM and PM-bound PAH exposure in Pathum Thani and their respiratory symptoms needs to be further investigated.

Indexed as

Air PollutantsMotorcyclesOccupational ExposureParticulate MatterPolycyclic Aromatic HydrocarbonsAdultEnvironmental MonitoringFemaleHumansMaleMiddle AgedSeasonsThailandVehicle EmissionsAir PollutantsParticulate MatterPolycyclic Aromatic HydrocarbonsVehicle Emissions

Identifiers

PMID41325328
PMCPMC12668520

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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.