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Outdoor Air Pollution and Pterygium in Korea
We investigated relationships between outdoor air pollution and pterygium in Korean adults. This study includes 23,276 adults in population-based cross-sectional data using the Korea National Health and Nutrition Examination Survey 2008–2011. Pterygium was assessed using slit lamp biomicroscopy. Air...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Korean Academy of Medical Sciences
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5143287/ https://www.ncbi.nlm.nih.gov/pubmed/27914144 http://dx.doi.org/10.3346/jkms.2017.32.1.143 |
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author | Lee, Ki Woong Choi, Yoon-Hyeong Hwang, Sung Ha Paik, Hae Jung Kim, Mee Kum Wee, Won Ryang Kim, Dong Hyun |
author_facet | Lee, Ki Woong Choi, Yoon-Hyeong Hwang, Sung Ha Paik, Hae Jung Kim, Mee Kum Wee, Won Ryang Kim, Dong Hyun |
author_sort | Lee, Ki Woong |
collection | PubMed |
description | We investigated relationships between outdoor air pollution and pterygium in Korean adults. This study includes 23,276 adults in population-based cross-sectional data using the Korea National Health and Nutrition Examination Survey 2008–2011. Pterygium was assessed using slit lamp biomicroscopy. Air pollution data (humidity, particulate matter with aerodynamic diameter less than 10 μm [PM(10)], ozone [O(3)], nitrogen dioxide [NO(2)], and sulfur dioxide levels [SO(2)]) for 2 years preceding the ocular examinations were acquired. Associations of multiple air pollutants with pterygium or pterygium recurrence after surgery were examined using multivariate logistic models, after adjusting for several covariates. Distributed lag models were additionally used for estimating cumulative effects of air pollution on pterygium. None of air pollution factors was significantly associated with pterygium or pterygium recurrence (each P > 0.05). Distributed lag models also showed that air pollution factors were not associated with pterygium or pterygium recurrence in 0-to-2 year lags (each P > 0.05). However, primary pterygium showed a weak association with PM(10) after adjusting for covariates (odds ratio [OR] 1.23; [per 5 μg/m(3) PM(10) increase]; P = 0.023). Aging, male sex, and greater sun exposure were associated with pterygium, while higher education level and myopia were negatively associated with pterygium (each P ≤ 0.001). Male sex and myopia were negatively associated with pterygium recurrence (each P < 0.05). In conclusion, exposure to higher PM(10) levels was associated with primary pterygium, although this study observed no significant association between air pollution and overall pterygium or pterygium recurrence in Korean adults. |
format | Online Article Text |
id | pubmed-5143287 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | The Korean Academy of Medical Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-51432872017-01-01 Outdoor Air Pollution and Pterygium in Korea Lee, Ki Woong Choi, Yoon-Hyeong Hwang, Sung Ha Paik, Hae Jung Kim, Mee Kum Wee, Won Ryang Kim, Dong Hyun J Korean Med Sci Original Article We investigated relationships between outdoor air pollution and pterygium in Korean adults. This study includes 23,276 adults in population-based cross-sectional data using the Korea National Health and Nutrition Examination Survey 2008–2011. Pterygium was assessed using slit lamp biomicroscopy. Air pollution data (humidity, particulate matter with aerodynamic diameter less than 10 μm [PM(10)], ozone [O(3)], nitrogen dioxide [NO(2)], and sulfur dioxide levels [SO(2)]) for 2 years preceding the ocular examinations were acquired. Associations of multiple air pollutants with pterygium or pterygium recurrence after surgery were examined using multivariate logistic models, after adjusting for several covariates. Distributed lag models were additionally used for estimating cumulative effects of air pollution on pterygium. None of air pollution factors was significantly associated with pterygium or pterygium recurrence (each P > 0.05). Distributed lag models also showed that air pollution factors were not associated with pterygium or pterygium recurrence in 0-to-2 year lags (each P > 0.05). However, primary pterygium showed a weak association with PM(10) after adjusting for covariates (odds ratio [OR] 1.23; [per 5 μg/m(3) PM(10) increase]; P = 0.023). Aging, male sex, and greater sun exposure were associated with pterygium, while higher education level and myopia were negatively associated with pterygium (each P ≤ 0.001). Male sex and myopia were negatively associated with pterygium recurrence (each P < 0.05). In conclusion, exposure to higher PM(10) levels was associated with primary pterygium, although this study observed no significant association between air pollution and overall pterygium or pterygium recurrence in Korean adults. The Korean Academy of Medical Sciences 2017-01 2016-11-24 /pmc/articles/PMC5143287/ /pubmed/27914144 http://dx.doi.org/10.3346/jkms.2017.32.1.143 Text en © 2017 The Korean Academy of Medical Sciences. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Lee, Ki Woong Choi, Yoon-Hyeong Hwang, Sung Ha Paik, Hae Jung Kim, Mee Kum Wee, Won Ryang Kim, Dong Hyun Outdoor Air Pollution and Pterygium in Korea |
title | Outdoor Air Pollution and Pterygium in Korea |
title_full | Outdoor Air Pollution and Pterygium in Korea |
title_fullStr | Outdoor Air Pollution and Pterygium in Korea |
title_full_unstemmed | Outdoor Air Pollution and Pterygium in Korea |
title_short | Outdoor Air Pollution and Pterygium in Korea |
title_sort | outdoor air pollution and pterygium in korea |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5143287/ https://www.ncbi.nlm.nih.gov/pubmed/27914144 http://dx.doi.org/10.3346/jkms.2017.32.1.143 |
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