ArticleAllergy, asthma & immunology research2016
GIS-based Association Between PM10 and Allergic Diseases in Seoul: Implications for Health and Environmental Policy.
Article in Allergy, asthma & immunology research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.
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Who cites it
10 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- [Air pollution and atopic eczema : Systematic review of findings from environmental epidemiological studies].Der Hautarzt; Zeitschrift fur Dermatologie, Venerologie, und verwandte Gebiete · 2019Pooled it
- Systematic Review and Meta-Analysis of Human Skin Diseases Due to Particulate Matter.International journal of environmental research and public health · 2017Pooled it
- Development ofAnnals of dermatology · 2022Article
- Prevalence, comorbidities, diagnosis, and treatment of nonallergic rhinitis: real-world comparison with allergic rhinitis.Clinical and experimental pediatrics · 2021Article
- Spatiotemporal variations of asthma admission rates and their relationship with environmental factors in Guangxi, China.BMJ open · 2020Article
- International expert consensus on the management of allergic rhinitis (AR) aggravated by air pollutants: Impact of air pollution on patients with AR: Current knowledge and future strategies.The World Allergy Organization journal · 2020Article
- Trends in the Prevalence of Childhood Asthma in Seoul Metropolitan City, Korea: The Seoul Atopy ∙ Asthma-friendly School Project.Journal of preventive medicine and public health = Yebang Uihakhoe chi · 2018Article
- A Closer Look at the Bivariate Association between Ambient Air Pollution and Allergic Diseases: The Role of Spatial Analysis.International journal of environmental research and public health · 2018Article
- Effect of TiO₂ Nanoparticles on Inflammasome-Mediated Airway Inflammation and Responsiveness.Allergy, asthma & immunology research · 2017Article
- Food deserts in Korea? A GIS analysis of food consumption patterns at sub-district level in Seoul using the KNHANES 2008-2012 data.Nutrition research and practice · 2016Article
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Authors and funding
6 authors.
Funding
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Abstract
purposeThe role of PM10 in the development of allergic diseases remains controversial among epidemiological studies, partly due to the inability to control for spatial variations in large-scale risk factors. This study aims to investigate spatial correspondence between the level of PM10 and allergic diseases at the sub-district level in Seoul, Korea, in order to evaluate whether the impact of PM10 is observable and spatially varies across the subdistricts.
methodsPM10 measurements at 25 monitoring stations in the city were interpolated to 424 sub-districts where annual inpatient and outpatient count data for 3 types of allergic diseases (atopic dermatitis, asthma, and allergic rhinitis) were collected. We estimated multiple ordinary least square regression models to examine the association of the PM10 level with each of the allergic diseases, controlling for various sub-district level covariates. Geographically weighted regression (GWR) models were conducted to evaluate how the impact of PM10 varies across the sub-districts.
resultsPM10 was found to be a significant predictor of atopic dermatitis patient count (P<0.01), with greater association when spatially interpolated at the sub-district level. No significant effect of PM10 was observed on allergic rhinitis and asthma when socioeconomic factors were controlled for. GWR models revealed spatial variation of PM10 effects on atopic dermatitis across the sub-districts in Seoul. The relationship of PM10 levels to atopic dermatitis patient counts is found to be significant only in the Gangbuk region (P<0.01), along with other covariates including average land value, poverty rate, level of education and apartment rate (P<0.01).
conclusionsOur findings imply that PM10 effects on allergic diseases might not be consistent throughout Seoul. GIS-based spatial modeling techniques could play a role in evaluating spatial variation of air pollution impacts on allergic diseases at the sub-district level, which could provide valuable guidelines for environmental and public health policymakers.
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