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The impact of the synergistic effect of SO(2) and PM(2.5)/PM(10) on obstructive lung disease in subtropical Taiwan
BACKGROUND: Chronic Obstructive lung diseases (COPD) are complex conditions influenced by various environmental, lifestyle, and genetic factors. Ambient air pollution has been identified as a potential risk factor, causing 4.2 million deaths worldwide in 2016, accounting for 25% of all COPD-related...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10558068/ https://www.ncbi.nlm.nih.gov/pubmed/37809009 http://dx.doi.org/10.3389/fpubh.2023.1229820 |
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author | Chen, Te-Yu Chen, Szu-Chia Wang, Chih-Wen Tu, Hung-Pin Chen, Pei-Shih Hu, Stephen Chu-Sung Li, Chiu-Hui Wu, Da-Wei Hung, Chih-Hsing Kuo, Chao-Hung |
author_facet | Chen, Te-Yu Chen, Szu-Chia Wang, Chih-Wen Tu, Hung-Pin Chen, Pei-Shih Hu, Stephen Chu-Sung Li, Chiu-Hui Wu, Da-Wei Hung, Chih-Hsing Kuo, Chao-Hung |
author_sort | Chen, Te-Yu |
collection | PubMed |
description | BACKGROUND: Chronic Obstructive lung diseases (COPD) are complex conditions influenced by various environmental, lifestyle, and genetic factors. Ambient air pollution has been identified as a potential risk factor, causing 4.2 million deaths worldwide in 2016, accounting for 25% of all COPD-related deaths and 26% of all respiratory infection-related deaths. This study aims to evaluate the associations among chronic lung diseases, air pollution, and meteorological factors. METHODS: This cross-sectional study obtained data from the Taiwan Biobank and Taiwan Air Quality Monitoring Database. We defined obstructive lung disease as patients with FEV1/FVC < 70%. Descriptive analysis between spirometry groups was performed using one-way ANOVA and the chi-square or Fisher’s exact test. A generalized additive model (GAM) was used to evaluate the relationship between SO(2) and PM(2.5)/PM(10) through equations and splines fitting. RESULTS: A total of 2,635 participants were enrolled. Regarding environmental factors, higher temperature, higher relative humidity, and lower rainfall were risk factors for obstructive lung disease. SO(2) was positively correlated with PM(10) and PM(2.5), with correlation coefficients of 0.53 (p < 0.0001) and 0.52 (p < 0.0001), respectively. Additionally, SO(2) modified the relative risk of obstructive impairment for both PM(10) [β coefficient (β) = 0.01, p = 0.0052] and PM(2.5) (β = 0.01, p = 0.0155). Further analysis per standard deviation (per SD) increase revealed that SO(2) also modified the relationship for both PM(10) (β = 0.11, p = 0.0052) and PM(2.5) (β = 0.09, p = 0.0155). Our GAM analysis showed a quadratic pattern for SO(2) (per SD) and PM(10) (per SD) in model 1, and a quadratic pattern for SO(2) (per SD) in model 2. Moreover, our findings confirmed synergistic effects among temperature, SO(2) and PM(2.5)/PM(10), as demonstrated by the significant associations of bivariate (SO(2) vs. PM(10), SO(2) vs. PM(2.5)) thin-plate smoothing splines in models 1 and 2 with obstructive impairment (p < 0.0001). CONCLUSION: Our study showed high temperature, humidity, and low rainfall increased the risk of obstructive lung disease. Synergistic effects were observed among temperature, SO(2), and PM(2.5)/PM(10). The impact of air pollutants on obstructive lung disease should consider these interactions. |
format | Online Article Text |
id | pubmed-10558068 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-105580682023-10-07 The impact of the synergistic effect of SO(2) and PM(2.5)/PM(10) on obstructive lung disease in subtropical Taiwan Chen, Te-Yu Chen, Szu-Chia Wang, Chih-Wen Tu, Hung-Pin Chen, Pei-Shih Hu, Stephen Chu-Sung Li, Chiu-Hui Wu, Da-Wei Hung, Chih-Hsing Kuo, Chao-Hung Front Public Health Public Health BACKGROUND: Chronic Obstructive lung diseases (COPD) are complex conditions influenced by various environmental, lifestyle, and genetic factors. Ambient air pollution has been identified as a potential risk factor, causing 4.2 million deaths worldwide in 2016, accounting for 25% of all COPD-related deaths and 26% of all respiratory infection-related deaths. This study aims to evaluate the associations among chronic lung diseases, air pollution, and meteorological factors. METHODS: This cross-sectional study obtained data from the Taiwan Biobank and Taiwan Air Quality Monitoring Database. We defined obstructive lung disease as patients with FEV1/FVC < 70%. Descriptive analysis between spirometry groups was performed using one-way ANOVA and the chi-square or Fisher’s exact test. A generalized additive model (GAM) was used to evaluate the relationship between SO(2) and PM(2.5)/PM(10) through equations and splines fitting. RESULTS: A total of 2,635 participants were enrolled. Regarding environmental factors, higher temperature, higher relative humidity, and lower rainfall were risk factors for obstructive lung disease. SO(2) was positively correlated with PM(10) and PM(2.5), with correlation coefficients of 0.53 (p < 0.0001) and 0.52 (p < 0.0001), respectively. Additionally, SO(2) modified the relative risk of obstructive impairment for both PM(10) [β coefficient (β) = 0.01, p = 0.0052] and PM(2.5) (β = 0.01, p = 0.0155). Further analysis per standard deviation (per SD) increase revealed that SO(2) also modified the relationship for both PM(10) (β = 0.11, p = 0.0052) and PM(2.5) (β = 0.09, p = 0.0155). Our GAM analysis showed a quadratic pattern for SO(2) (per SD) and PM(10) (per SD) in model 1, and a quadratic pattern for SO(2) (per SD) in model 2. Moreover, our findings confirmed synergistic effects among temperature, SO(2) and PM(2.5)/PM(10), as demonstrated by the significant associations of bivariate (SO(2) vs. PM(10), SO(2) vs. PM(2.5)) thin-plate smoothing splines in models 1 and 2 with obstructive impairment (p < 0.0001). CONCLUSION: Our study showed high temperature, humidity, and low rainfall increased the risk of obstructive lung disease. Synergistic effects were observed among temperature, SO(2), and PM(2.5)/PM(10). The impact of air pollutants on obstructive lung disease should consider these interactions. Frontiers Media S.A. 2023-09-22 /pmc/articles/PMC10558068/ /pubmed/37809009 http://dx.doi.org/10.3389/fpubh.2023.1229820 Text en Copyright © 2023 Chen, Chen, Wang, Tu, Chen, Hu, Li, Wu, Hung and Kuo. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Public Health Chen, Te-Yu Chen, Szu-Chia Wang, Chih-Wen Tu, Hung-Pin Chen, Pei-Shih Hu, Stephen Chu-Sung Li, Chiu-Hui Wu, Da-Wei Hung, Chih-Hsing Kuo, Chao-Hung The impact of the synergistic effect of SO(2) and PM(2.5)/PM(10) on obstructive lung disease in subtropical Taiwan |
title | The impact of the synergistic effect of SO(2) and PM(2.5)/PM(10) on obstructive lung disease in subtropical Taiwan |
title_full | The impact of the synergistic effect of SO(2) and PM(2.5)/PM(10) on obstructive lung disease in subtropical Taiwan |
title_fullStr | The impact of the synergistic effect of SO(2) and PM(2.5)/PM(10) on obstructive lung disease in subtropical Taiwan |
title_full_unstemmed | The impact of the synergistic effect of SO(2) and PM(2.5)/PM(10) on obstructive lung disease in subtropical Taiwan |
title_short | The impact of the synergistic effect of SO(2) and PM(2.5)/PM(10) on obstructive lung disease in subtropical Taiwan |
title_sort | impact of the synergistic effect of so(2) and pm(2.5)/pm(10) on obstructive lung disease in subtropical taiwan |
topic | Public Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10558068/ https://www.ncbi.nlm.nih.gov/pubmed/37809009 http://dx.doi.org/10.3389/fpubh.2023.1229820 |
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