September 2016
Volume 57, Issue 12
Open Access
ARVO Annual Meeting Abstract  |   September 2016
Association between Air Pollution and Dry Eye Disease in South Korea
Author Affiliations & Notes
  • Dong Hyun Kim
    Department of Ophthalmology, Gachon University Gil Medical Center, Incheon, Korea (the Republic of)
  • Sung Ha Hwang
    Department of Ophthalmology, Gachon University Gil Medical Center, Incheon, Korea (the Republic of)
  • Yoon-Hyeong Choi
    Department of Preventive Medicine, Gachon University College of Medicine, Incheon, Korea (the Republic of)
  • Footnotes
    Commercial Relationships   Dong Hyun Kim, None; Sung Ha Hwang, None; Yoon-Hyeong Choi, None
  • Footnotes
    Support  None
Investigative Ophthalmology & Visual Science September 2016, Vol.57, No Pagination Specified. doi:
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      Dong Hyun Kim, Sung Ha Hwang, Yoon-Hyeong Choi; Association between Air Pollution and Dry Eye Disease in South Korea. Invest. Ophthalmol. Vis. Sci. 201657(12):.

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      © ARVO (1962-2015); The Authors (2016-present)

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Abstract

Purpose : Air pollution is an important public health concern and ocular surface is continuously exposed to the outdoor air pollutants. However, there is no large scale study including multiple air pollutants in evaluating a relationship between air pollution and dry eye disease (DED). We investigated whether outdoor air pollution affected DED in South Korea

Methods : This was a population-based cross-sectional study. We included 16,824 subjects in 5th Korea National Health and Nutrition Examination Survey (2010-2012). DED was defined as previously diagnosed by an ophthalmologist or the presence of frequent ocular pain and discomfort. Outdoor air pollution factors [mean annual humidity, particulate matter with aerodynamic diameter less than 10um (PM10), ozone (O3), and nitrogen dioxide (NO2) level in South Korea] were collected from national monitoring station. Correlations between air pollution factors were assessed. In addition, air pollution factors were assessed as associated factors for DED using multivariate logistic regression analysis. Demographic and previously known associated factor with DED were additionally applied for statistical adjustment. (model 1: including demographic factors, model 2: including demographic and previously known associated factors)

Results : Lower humidity was associated with higher PM10 and NO2 level respectively. (R2=0.4982, p<0.0001/ R2=0.1693, p=0.0037) O3 was negatively related with PM10 and NO2. (R2=0.2366, p=0.0005/ R2=0.6464, p<0.0001) NO2 was positively related with PM10. (R2=0.1964, p=0.0016) In model 1 and 2, lower humidity and higher O3 level were significantly associated with DED symptom or diagnosis. [model 1: 5% increase of humidity - odd ratio (OR)=0.87/0.86, p=0.027/0.011 (DED symptom/diagnosis), 0.003 ppm increase of O3 - OR=1.16/1.21, p=0.036/0.008], [model 2: 5% increase of humidity - odd ratio(OR)=0.88/0.86, p=0.045/0.017, 0.003 ppm increase of O3 - OR=1.17/1.27, p=0.026/0.002] PM10 level was not associated with DED symptom or diagnosis in model 1 and 2. (model 1: OR=0.98/1.01, p=0.657/0.892, model 2: OR=0.99/1.01, p=0.810/0.810)

Conclusions : Lower humidity and higher O3 level were significantly associated with DED, while there were no relationships between PM10 level and DED in Korean population.

This is an abstract that was submitted for the 2016 ARVO Annual Meeting, held in Seattle, Wash., May 1-5, 2016.

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