Evidence map›Paper›PMID 40660678›Full record

ArticleAnnals of work exposures and health2025

Overview of historical formaldehyde occupational exposure in China.

Jia Nie, Calvin B Ge, Nathaniel Rothman, Wei Hu, Qing Lan, Roel Vermeulen, Susan Peters

Abstract readHistorical Article
In one paragraph

Article in Annals of work exposures and 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

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Jia NieInstitute for Risk Assessment Sciences, Utrecht University, Yalelaan 2, 3584 CM Utrecht, the Netherlands.ORCID 0000-0001-9393-482X
Calvin B GeNetherlands Organization for Applied Scientific Research TNO, Princetonlaan 6, 3584 CB Utrecht, the Netherlands.
Nathaniel RothmanDivision of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Drive, Bethesda, MD 20892, United States.
Wei HuDivision of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Drive, Bethesda, MD 20892, United States.
Qing LanDivision of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Drive, Bethesda, MD 20892, United States.
Roel VermeulenInstitute for Risk Assessment Sciences, Utrecht University, Yalelaan 2, 3584 CM Utrecht, the Netherlands.
Susan PetersInstitute for Risk Assessment Sciences, Utrecht University, Yalelaan 2, 3584 CM Utrecht, the Netherlands.ORCID 0000-0001-5662-1971

Funding

Dutch Ministry of Education, Culture, and Science and the Netherlands Organization for Scientific Research 024.004.017Intramural Research Program of the Division of Cancer Epidemiology and GeneticsNCINIH
6 · The paper itself

Abstract

objectivesFormaldehyde is a known human carcinogen related to leukemia and nasopharyngeal cancer. As China is the world's largest producer and consumer of formaldehyde, occupational exposure to formaldehyde may pose potential health risks to workers. We aimed to describe occupational exposure to formaldehyde over time in China.

methodsOccupational formaldehyde exposure measurements were extracted from Chinese and English scientific publications as well as routine occupational hazard monitoring datasets. A weighted mean concentration was calculated by occupation and industry.

resultsWe extracted over 20,447 individual measurements from 73 industries and 70 occupations during 1979 to 2023 across China. The majority of measurements (19%) were from the industry "Manufacture of veneer sheets and wood-based panels," with a pooled mean task-based concentration of 0.69 (0.02 to 4.98) mg/m3. Among occupations with over 200 individual measurements and a pooled weighted mean concentration of 0.5 mg/m3 or higher, "Metal moulders and coremakers" has the highest task-based concentration, at 1.40 (0.04 to 1.99) mg/m3. Formaldehyde exposure levels varied across occupations and changed over time. Before 1990, the overall pooled mean (range) task-based concentration was 1.60 (0.15 to 6.14) mg/m3, decreasing to 0.41 (0.00 to 12.0) mg/m3 from 2011 onward.

conclusionsOccupational formaldehyde exposure in China has shown a declining trend over the past decades but remains high in certain occupations. Identifying high-risk industries and occupations can inform the development of targeted interventions and regulations to mitigate formaldehyde exposure. Furthermore, the presented exposure data can contribute to better exposure assessment in epidemiological investigations.

Indexed as

Air Pollutants, OccupationalFormaldehydeOccupational ExposureChinaEnvironmental MonitoringHistory, 20th CenturyHistory, 21st CenturyHumansIndustryOccupationsAir Pollutants, OccupationalFormaldehydeChinaformaldehydeoccupational exposure

Identifiers

PMID40660678
PMCPMC12550362

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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.