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Exploring Household-level Risk Factors for Self-reported Prevalence of Allergic Diseases Among Low-income Households in Seoul, Korea

Authors
Seo, SungChulKim, DohyeongPaul, ChristopherYoo, YoungChoung, Ji Tae
Issue Date
9월-2014
Publisher
KOREAN ACAD ASTHMA ALLERGY & CLINICAL IMMUNOLOGY
Keywords
Atopic dermatitis; asthma; allergic rhinitis; risk factors; low-income population; Korea
Citation
ALLERGY ASTHMA & IMMUNOLOGY RESEARCH, v.6, no.5, pp.421 - 427
Indexed
SCIE
SCOPUS
KCI
Journal Title
ALLERGY ASTHMA & IMMUNOLOGY RESEARCH
Volume
6
Number
5
Start Page
421
End Page
427
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/97512
DOI
10.4168/aair.2014.6.5.421
ISSN
2092-7355
Abstract
Purpose: Indoor risk factors for allergic diseases in low-income households in Korea have been characterized only partially. We evaluated the prevalences of atopic dermatitis, asthma, and allergic rhinitis in Seoul, Korea, to identify key housing and behavioral risk factors of low-income households. Methods: Statistical analysis of the prevalence of these diseases and various risk factors was conducted using data from a 2010 Ministry of Environment household survey. Logistic regression models were generated using data from 511 low-income household apartments in districts of Seoul. Results: In general, housing factors such as renovation history (P<0.1) and crowding status (P<0.01) were associated with allergic rhinitis, whereas behavioral factors such as frequency of indoor ventilation (P<0.05) and cleaning (P<0.1) were inversely correlated with atopic dermatitis. Indoor smoking was a major trigger of asthma and atopic dermatitis in low-income households (P<0.05). The presence of mold and water leakage in houses were the most important risk factors for all three diseases (P<0.05). Conclusions: Various risk factors play a role in triggering allergic diseases among low-income households in Seoul, and health or environmental programs mitigating allergic diseases should be tailored to address appropriate housing or behavioral factors in target populations.
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