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An Association Between Air Pollution and the Prevalence of Allergic Rhinitis in the Ulsan Metropolitan Region

울산지역 대기오염과 알레르기 비염 유병률과의 관계

  • Oh, In-Bo (Environmental Health Center, University of Ulsan) ;
  • Lee, Ji-Ho (Department of Occupational and Environmental Medicine, College of Medicine, University of Ulsan, Ulsan University Hospital) ;
  • Sim, Chang-Sun (Department of Occupational and Environmental Medicine, College of Medicine, University of Ulsan, Ulsan University Hospital) ;
  • Kim, Yang-Ho (Department of Occupational and Environmental Medicine, College of Medicine, University of Ulsan, Ulsan University Hospital) ;
  • Yoo, Cheol-In (Department of Occupational and Environmental Medicine, College of Medicine, University of Ulsan, Ulsan University Hospital)
  • 오인보 (울산대학교 환경보건센터) ;
  • 이지호 (울산대학교 의과대학 울산대학교병원 산업환경의학교실) ;
  • 심창선 (울산대학교 의과대학 울산대학교병원 산업환경의학교실) ;
  • 김양호 (울산대학교 의과대학 울산대학교병원 산업환경의학교실) ;
  • 유철인 (울산대학교 의과대학 울산대학교병원 산업환경의학교실)
  • Received : 2010.10.14
  • Accepted : 2010.12.20
  • Published : 2010.12.30

Abstract

This study aims to investigate the relationship between air pollution exposure and the prevalence of allergic rhinitis in a young population in the Ulsan metropolitan region (UMR). Data on physician-diagnosed allergic rhinitis (past 12 months) in 1,449 infants and children aged 1-18 years who lived within 1.5 or 2 km of air quality monitoring sites were collected in a cross-sectional health interview survey conducted between January-February 2006 in the UMR. Comparisons of the spatial distribution of the prevalence rates for allergic rhinitis and annual average pollutant concentrations over the region showed that a relatively high prevalence rate occurred around the coastal industrial area, with high PM10 concentrations. A linear correlation analysis demonstrated a positive correlation relationship between them (R = 0.680, p = 0.04). Multiple linear regression analysis revealed that the combined effect of the PM10 and $SO_2$ variables accounts for approximately 81% of the variance (R-square: 0.81) in the prevalence rate. From the multiple logistic regression analysis after adjustment by age, sex, and air-pollutant factors, the PM10 and $SO_2$ which were mainly from industrialrelated emissions were found to be significantly associated with an increased risk of allergic rhinitis (aOR: 1.76, 95% CI: 1.15-2.70 for PM10 ; aOR: 1.63, 95% CI: 1.12-2.35 for SO2).

Keywords

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