Evidence map›Paper›PMID 42624984›Full record

ArticleJournal of exposure science & environmental epidemiology2026

Short-term effects and attributable burden of ambient volatile organic compound mixtures on pediatric atopic dermatitis and asthma in Seoul.

Minsun Lee, Kyungjun Jeong, Kyungnam Kim, Jaelim Cho, Dae Ryong Kang, Myung Hyun Sohn, Yongjin Lee, Changsoo Kim

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Article in Journal of exposure science & environmental epidemiology, 2026. 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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5 · Who and what money

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8 authors.

Minsun LeeInstitute for Environmental Research, College of Medicine, Yonsei University, Seoul, Republic of Korea.
Kyungjun JeongInstitute for Environmental Research, College of Medicine, Yonsei University, Seoul, Republic of Korea.
Kyungnam KimDepartment of Preventive Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea.
Jaelim ChoDepartment of Preventive Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea.
Dae Ryong KangDepartment of Precision Medicine, Wonju College of Medicine, Yonsei University, Wonju, Republic of Korea.
Myung Hyun SohnDepartment of Pediatrics, Yonsei University College of Medicine, Seoul, Republic of Korea.
Yongjin LeeInstitute for Environmental Research, College of Medicine, Yonsei University, Seoul, Republic of Korea.
Changsoo KimInstitute for Environmental Research, College of Medicine, Yonsei University, Seoul, Republic of Korea. preman@yuhs.ac.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAmbient volatile organic compounds (VOCs) exist as complex mixtures. Their short-term health associations in children remain poorly characterized.

objectiveTo evaluate short-term associations between ambient VOC mixtures and pediatric atopic dermatitis (AD) and asthma in Seoul, Korea, and to estimate the ecological attributable burden.

methodsDaily counts of outpatient visits and hospital admissions among individuals aged <19 years in Seoul (2015-2019) were linked with citywide VOC concentrations grouped as n-alkanes (G1), branched/cyclo-alkanes (G2), alkenes/alkynes (G3), and aromatics (G4). Mixture associations were estimated using Weighted Quantile Sum regression (WQSR) and Bayesian Kernel Machine Regression. Population Attributable Fractions (PAFs) were calculated from WQSR-based relative risks under a hypothetical 25th-percentile lower-exposure scenario.

resultsAmbient VOC mixtures were associated with higher daily counts of outpatient visits and hospital admissions for pediatric AD and asthma. Toluene (G4) showed the highest WQSR weight (0.88 for AD; 0.75 for asthma), while hexane (G1) and cyclohexane (G2) also showed relatively high weights (AD: 0.67 and 0.38; asthma: 0.55 and 0.25, respectively). Generalized additive models showed broadly consistent single-compound associations. Estimated ecological PAFs under the 25th-percentile scenario were 7.0% for AD (G4) and 4.7% (G1), 4.0% (G2), and 6.5% (G4) for asthma. SIGNIFICANCE: Short-term exposure to ambient VOC mixtures, particularly aromatics, is associated with an increased pediatric burden of AD and asthma in Seoul. Toluene was identified as a key contributor, whereas the roles of other VOCs require further investigation because of potential shared source contributions with other pollutants. IMPACT: This study quantifies the short-term effects of ambient VOC mixtures on pediatric AD and asthma using advanced mixture models. The findings suggest that aromatic VOCs, particularly toluene, were consistently associated with the observed health outcomes. VOC mixture exposure may be associated with a measurable ecological burden of pediatric AD and asthma at the population level.

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Air pollutionChildren’s healthEpidemiologyExposure assessmentVolatile organic compounds

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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.