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PD04

The environmental risk factors and prevalence of childhood allergic diseases in an industrial city

Thursday, 17 October, 2013 - 11:36
Board 3

Poster Presenter: Chang Sun Simdrsimcs@gmail.com
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The environmental risk factors and prevalence of childhood allergic diseases in an industrial city

Chang Sun Sim1,2, In-Bo Oh2, Cheol-In Yoo1,2, Yangho Kim1,2, Jiho Lee1,2

1Department of Occupational and Environmental Medicine, Ulsan University Hospital, University of Ulsan College of Medicine, Ulsan, Korea
2Environmental Health Center, University of Ulsan College of Medicine, Ulsan, Korea

 

Background

 The prevalence of allergic diseases (AD) in childhood has recently shown a growing increase worldwide as well as in South Korea. The increased prevalence has occurred in too short time to attribute it to genetic changes and identification of environmental factors is useful to develop strategies for prevention. The main and potential risk factors contributing to the  development of AD are still unclear. This study aims to investigate AD prevalence for elementary school children in an industrial city of Ulsan and identify major environmental risk factors associated with AD prevalence.

 

Methods

 Data on the physician-diagnosed prevalence in the past 1 year and potential risk factors of AD (asthma, allergic rhinitis and atopic dermatitis) were collected by a questionnaire including ISAAC questions from the 2009~2010 survey of 4,607 children living in different urban environments. Exposure to outdoor air pollution was estimated by using annual mean concentrations of pollutants (PM10, O3, NO2, SO2 and CO) obtained from monitoring sites near the participant’s residence.

 

Results

 Our survey results showed that the AD prevalence rate ranged between 26.2% and 35.9%. Children living in polluted areas (near industrial and central urban areas) had about 10% higher prevalence of AD than those living in coastal or suburban areas. The chi-square test demonstrated that this local difference was statistically significant before and after adjustment of major confounder such as parental AD history and education.

 The results of the logistic regression analysis showed that AD prevalence was significantly associated independently with socio-economic indices and indoor/outdoor environmental factors. The multivariate analysis indicated that statistically significant and robust association between several environmental factors (ventilation status, exposure to diesel exhaust, and outdoor PM10/O3 pollution) and the prevalence of AD was found after adjustment by confounders. The adjusted odd ratios for the AD prevalence were 1.24 (95% CI: 1.03-1.49) and 1.79 (95% CI: 1.17-2.75) with increase in PM10 level of 10 ㎍m-3 and O3 level of 10 ppb, respectively.

 

Conclusion

 Although there should be other risk factors for AD, our results suggest that living in polluted area and exposure to high levels of air pollutants can contribute to the increased risk of childhood AD.