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Association between Meniere’s disease and air pollution in South Korea

Meniere’s disease is thought to be a disorder of the inner ear function, affected by genetic and environmental factors. Several recent studies have shown that air pollution could affect middle and inner ear diseases. The purpose of this study was to investigate the relationship between the Meniere’s...

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Autores principales: Lee, Dong-Han, Han, Jiyeon, Jang, Myoung-jin, Suh, Myung-Whan, Lee, Jun Ho, Oh, Seung Ha, Park, Moo Kyun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8222348/
https://www.ncbi.nlm.nih.gov/pubmed/34162905
http://dx.doi.org/10.1038/s41598-021-92355-0
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author Lee, Dong-Han
Han, Jiyeon
Jang, Myoung-jin
Suh, Myung-Whan
Lee, Jun Ho
Oh, Seung Ha
Park, Moo Kyun
author_facet Lee, Dong-Han
Han, Jiyeon
Jang, Myoung-jin
Suh, Myung-Whan
Lee, Jun Ho
Oh, Seung Ha
Park, Moo Kyun
author_sort Lee, Dong-Han
collection PubMed
description Meniere’s disease is thought to be a disorder of the inner ear function, affected by genetic and environmental factors. Several recent studies have shown that air pollution could affect middle and inner ear diseases. The purpose of this study was to investigate the relationship between the Meniere’s disease occurrence and air pollution status in Korea. This study used a time-stratified case-crossover design. Hospital visit data by Meniere’s disease were collected from the Korea National Health Insurance Service-National Sample Cohort (NHIS-NSC) database. Daily air pollution data for sulfur dioxide (SO(2)), nitrogen dioxide (NO(2)), carbon monoxide (CO), ozone (O(3)), and particulate matter (PM(10): ≤ 10 μm in diameter, and PM(2.5): ≤ 2.5 μm in diameter) were collected from the National Ambient air quality Monitoring Information System (NAMIS) database. We used two-stage analysis to assess the association between degree of air pollution and the occurrence of Meniere’s disease. In the first stage, region-specific analysis was conducted to estimate the odds ratios (ORs) of Meniere’s disease risk associated with each air pollutant exposure by using conditional logistic regression for matched case–control sets in 16 regions. In the second stage, region-specific ORs from the first stage were combined and the pooled effect estimates were derived through fixed and random effect meta-analysis. Subgroup analysis was conducted for age, sex, seasonality, and urbanization of residence. In total, 29,646 (32.1% males and 67.9% females) Meniere’s disease cases were identified from Korea NHIS-NSC database between 2008 and 2015. Overall, SO(2), NO(2), CO, and PM(10) showed significant correlation with Meniere’s disease risk at immediate lags, and weaker correlation at delayed lags, whereas O(3) showed slightly negative correlation at the immediate lag (lag0) and PM(2.5) did not show strong correlation (SO(2): 1.04 [95% confidence interval: 1.01, 1.06]; NO(2): 1.08 [1.06, 1.11]; CO: 1.04 [1.02, 1.06]; O(3): 0.96 [0.93, 0.99]: statistically significant ORs at lag0 are listed). These positive and negative associations between Meniere’s disease and each air pollutant were generally stronger in the age of 40–64, female, summer (June–August) season, and urban subgroups. Our results showed that hospital visits for Meniere’s disease were associated with the measured concentrations of ambient air pollutants SO(2), NO(2), CO, and PM(10). Further studies are required to confirm these associations and find their mechanisms.
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spelling pubmed-82223482021-06-24 Association between Meniere’s disease and air pollution in South Korea Lee, Dong-Han Han, Jiyeon Jang, Myoung-jin Suh, Myung-Whan Lee, Jun Ho Oh, Seung Ha Park, Moo Kyun Sci Rep Article Meniere’s disease is thought to be a disorder of the inner ear function, affected by genetic and environmental factors. Several recent studies have shown that air pollution could affect middle and inner ear diseases. The purpose of this study was to investigate the relationship between the Meniere’s disease occurrence and air pollution status in Korea. This study used a time-stratified case-crossover design. Hospital visit data by Meniere’s disease were collected from the Korea National Health Insurance Service-National Sample Cohort (NHIS-NSC) database. Daily air pollution data for sulfur dioxide (SO(2)), nitrogen dioxide (NO(2)), carbon monoxide (CO), ozone (O(3)), and particulate matter (PM(10): ≤ 10 μm in diameter, and PM(2.5): ≤ 2.5 μm in diameter) were collected from the National Ambient air quality Monitoring Information System (NAMIS) database. We used two-stage analysis to assess the association between degree of air pollution and the occurrence of Meniere’s disease. In the first stage, region-specific analysis was conducted to estimate the odds ratios (ORs) of Meniere’s disease risk associated with each air pollutant exposure by using conditional logistic regression for matched case–control sets in 16 regions. In the second stage, region-specific ORs from the first stage were combined and the pooled effect estimates were derived through fixed and random effect meta-analysis. Subgroup analysis was conducted for age, sex, seasonality, and urbanization of residence. In total, 29,646 (32.1% males and 67.9% females) Meniere’s disease cases were identified from Korea NHIS-NSC database between 2008 and 2015. Overall, SO(2), NO(2), CO, and PM(10) showed significant correlation with Meniere’s disease risk at immediate lags, and weaker correlation at delayed lags, whereas O(3) showed slightly negative correlation at the immediate lag (lag0) and PM(2.5) did not show strong correlation (SO(2): 1.04 [95% confidence interval: 1.01, 1.06]; NO(2): 1.08 [1.06, 1.11]; CO: 1.04 [1.02, 1.06]; O(3): 0.96 [0.93, 0.99]: statistically significant ORs at lag0 are listed). These positive and negative associations between Meniere’s disease and each air pollutant were generally stronger in the age of 40–64, female, summer (June–August) season, and urban subgroups. Our results showed that hospital visits for Meniere’s disease were associated with the measured concentrations of ambient air pollutants SO(2), NO(2), CO, and PM(10). Further studies are required to confirm these associations and find their mechanisms. Nature Publishing Group UK 2021-06-23 /pmc/articles/PMC8222348/ /pubmed/34162905 http://dx.doi.org/10.1038/s41598-021-92355-0 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Lee, Dong-Han
Han, Jiyeon
Jang, Myoung-jin
Suh, Myung-Whan
Lee, Jun Ho
Oh, Seung Ha
Park, Moo Kyun
Association between Meniere’s disease and air pollution in South Korea
title Association between Meniere’s disease and air pollution in South Korea
title_full Association between Meniere’s disease and air pollution in South Korea
title_fullStr Association between Meniere’s disease and air pollution in South Korea
title_full_unstemmed Association between Meniere’s disease and air pollution in South Korea
title_short Association between Meniere’s disease and air pollution in South Korea
title_sort association between meniere’s disease and air pollution in south korea
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8222348/
https://www.ncbi.nlm.nih.gov/pubmed/34162905
http://dx.doi.org/10.1038/s41598-021-92355-0
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