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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...

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Autores principales: Lee, Ki Woong, Choi, Yoon-Hyeong, Hwang, Sung Ha, Paik, Hae Jung, Kim, Mee Kum, Wee, Won Ryang, Kim, Dong Hyun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Academy of Medical Sciences 2017
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.
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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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