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Spatial epidemiology of dry eye disease: findings from South Korea
BACKGROUND: DED rate maps from diverse regions may allow us to understand world-wide spreading pattern of the disease. Only few studies compared the prevalence of DED between geographical regions in non-spatial context. Therefore, we examined the spatial epidemiological pattern of DED prevalence in...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4139141/ https://www.ncbi.nlm.nih.gov/pubmed/25128034 http://dx.doi.org/10.1186/1476-072X-13-31 |
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author | Um, Sun-Bi Kim, Na Hyun Lee, Hyung Keun Song, Jong Suk Kim, Hyeon Chang |
author_facet | Um, Sun-Bi Kim, Na Hyun Lee, Hyung Keun Song, Jong Suk Kim, Hyeon Chang |
author_sort | Um, Sun-Bi |
collection | PubMed |
description | BACKGROUND: DED rate maps from diverse regions may allow us to understand world-wide spreading pattern of the disease. Only few studies compared the prevalence of DED between geographical regions in non-spatial context. Therefore, we examined the spatial epidemiological pattern of DED prevalence in South Korea using a nationally representative sample. METHODS: We analyzed 16,431 Korean adults aged 30 years or older of the 5th Korea National Health and Nutrition Examination Survey. DED was defined as previously diagnosed by an ophthalmologist as well as symptoms experienced. Multiple logistic regression analysis was used to assess the spatial pattern in the prevalence of DED, and effects of environmental factors. RESULTS: Among seven metropolitan cities and nine provinces, three metropolitan cities located in the southeast of Korea revealed the highest prevalence of DED. After adjusting for sex, age and survey year, people living in urban areas had higher risk of having DED. Adjusted odds ratio for having previously diagnosed DED was 1.677 (95% CI 1.299-2.166) for metropolitan cities and 1.580 (95% CI 1.215-2.055) for other cities compared to rural areas. Corresponding odds ratio for presenting DED symptoms was 1.388 (95% CI 1.090-1.766) for metropolitan cities and 1.271 (95% CI 0.999-1.617) for other cities. Lower humidity and longer sunshine duration were significantly associated with DED. Among air pollutants, SO(2) was associated with DED, while NO(2), O(3), CO, and PM10 were not. CONCLUSION: Our findings suggest that prevalence of DED can be affected by the degree of urbanization and environmental factors such as humidity and sunshine duration. |
format | Online Article Text |
id | pubmed-4139141 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-41391412014-08-21 Spatial epidemiology of dry eye disease: findings from South Korea Um, Sun-Bi Kim, Na Hyun Lee, Hyung Keun Song, Jong Suk Kim, Hyeon Chang Int J Health Geogr Research BACKGROUND: DED rate maps from diverse regions may allow us to understand world-wide spreading pattern of the disease. Only few studies compared the prevalence of DED between geographical regions in non-spatial context. Therefore, we examined the spatial epidemiological pattern of DED prevalence in South Korea using a nationally representative sample. METHODS: We analyzed 16,431 Korean adults aged 30 years or older of the 5th Korea National Health and Nutrition Examination Survey. DED was defined as previously diagnosed by an ophthalmologist as well as symptoms experienced. Multiple logistic regression analysis was used to assess the spatial pattern in the prevalence of DED, and effects of environmental factors. RESULTS: Among seven metropolitan cities and nine provinces, three metropolitan cities located in the southeast of Korea revealed the highest prevalence of DED. After adjusting for sex, age and survey year, people living in urban areas had higher risk of having DED. Adjusted odds ratio for having previously diagnosed DED was 1.677 (95% CI 1.299-2.166) for metropolitan cities and 1.580 (95% CI 1.215-2.055) for other cities compared to rural areas. Corresponding odds ratio for presenting DED symptoms was 1.388 (95% CI 1.090-1.766) for metropolitan cities and 1.271 (95% CI 0.999-1.617) for other cities. Lower humidity and longer sunshine duration were significantly associated with DED. Among air pollutants, SO(2) was associated with DED, while NO(2), O(3), CO, and PM10 were not. CONCLUSION: Our findings suggest that prevalence of DED can be affected by the degree of urbanization and environmental factors such as humidity and sunshine duration. BioMed Central 2014-08-15 /pmc/articles/PMC4139141/ /pubmed/25128034 http://dx.doi.org/10.1186/1476-072X-13-31 Text en Copyright © 2014 Um et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/4.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Um, Sun-Bi Kim, Na Hyun Lee, Hyung Keun Song, Jong Suk Kim, Hyeon Chang Spatial epidemiology of dry eye disease: findings from South Korea |
title | Spatial epidemiology of dry eye disease: findings from South Korea |
title_full | Spatial epidemiology of dry eye disease: findings from South Korea |
title_fullStr | Spatial epidemiology of dry eye disease: findings from South Korea |
title_full_unstemmed | Spatial epidemiology of dry eye disease: findings from South Korea |
title_short | Spatial epidemiology of dry eye disease: findings from South Korea |
title_sort | spatial epidemiology of dry eye disease: findings from south korea |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4139141/ https://www.ncbi.nlm.nih.gov/pubmed/25128034 http://dx.doi.org/10.1186/1476-072X-13-31 |
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