Association between particulate matter concentration and symptoms of atopic dermatitis in children living in an industrial urban area of South Korea
Abstract
Introduction Increased exposure to particulate matter (PM) appears to increase the development of atopic diseases and allergic sensitization. This study evaluated the association between daily levels of PM with diameters less than 10µm (PM10) and PM2.5 and symptoms of atopic dermatitis (AD) in children living in an industrial urban area.Methods Indoor PM10 and PM2.5 concentrations were measured with an optical particle counter in two preschools near large industrial complexes in Ulsan, South Korea during two 6-month periods (May-October of 2012 and 2013). Twenty-one children with AD from these preschools were enrolled and observed daily for AD symptoms during the same periods. Indoor and outdoor PM concentrations were used to estimate PM exposure based on time activity patterns.Results Analysis of PM10 and PM2.5 concentrations showed that indoor and outdoor PM10 levels varied similarly throughout each 6-month period. In addition, indoor concentration of PM2.5 had high correlation with ambient outdoor concentration of PM10. Correlation analysis also indicated a significant positive correlation between the exacerbation of AD symptoms and daily mean exposure to PM10 and PM2.5. Based on a generalized linear mixed model (GLMM), PM exposure was significantly associated with the exacerbation of AD symptoms, with a maximum adjusted odds ratio (aOR) of 1.399 for a 10µg/m 3 increase of PM2.5 (95% CI: 1.216-1.610).Discussion Our findings suggest that short-term exposure to PM can exacerbate AD in young children living in an industrial urban area. PM2.5 had a stronger effect than PM10 on exacerbation of AD symptoms.
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Our previous epidemiologic studies showed that PM2.5 is associated with the exacerbation of AD in children.
“Our previous epidemiologic studies also showed that PM2.5 is associated with the exacerbation of AD in children (24–26).”
From Particulate matter causes skin barrier dysfunction. (2021) · cites this paper as [26]
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Self-citation
- Authors
- Oh, I., Lee, J., Ahn, K., Kim, J., Kim, Y.-M., Sun Sim, C., & Kim, Y.
- Affiliations
- University of Ulsan (KR)
- Samsung Medical Center (KR)
- Corresponding author
- Kim, Jihyun
- Kim, Young-Min
- Kim, Yangho
- Venue
- Environmental Research
- Publisher
- Elsevier BV
- Published
- 2018-01
- Volume
- 160
- Pages
- 462-468
- ISSN
- 0013-9351 (ISSN-L)
- OpenAlex
- W2766558357
- Cited by
- 71
- References
- 20
- Citations by year
- 2025: 9 · 2024: 5 · 2023: 10 · 2022: 7 · 2021: 15 · 2020: 12 · 2019: 10 · 2018: 3
- FWCI
- 3.69
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Environmental Research (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Ministry of Environment
- National Center for Environmental Health
- Topics
- Physical Sciences › Environmental Science › Health, Toxicology and Mutagenesis › Air Quality and Health Impacts
- Physical Sciences › Environmental Science › Health, Toxicology and Mutagenesis › Indoor Air Quality and Microbial Exposure
- Health Sciences › Medicine › Dermatology › Dermatology and Skin Diseases
- Keywords
- particulate matter, PM2.5, PM10, atopic dermatitis, children, indoor air pollution, air pollution exposure, allergic diseases, preschool children, symptom exacerbation
- MeSH terms
- Air Pollutants, Child, Preschool, Dermatitis, Atopic, Environmental Exposure, Environmental Monitoring, Female, Humans, Infant, Male, Air Pollution, Indoor, Particulate Matter, Republic of Korea
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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