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Long-term PM(2.5) exposure in association with chronic respiratory diseases morbidity: A cohort study in Northern China

Several literatures have examined the risk of chronic respiratory diseases in association with short-term ambient PM(2.5) exposure in China. However, little evidence has examined the chronic impacts of PM(2.5) exposure on morbidity of chronic respiratory diseases in cohorts from high pollution count...

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Autores principales: Yan, Mengfan, Ge, Han, Zhang, Liwen, Chen, Xi, Yang, Xueli, Liu, Fangchao, Shan, Anqi, Liang, Fengchao, Li, Xuejun, Ma, Zhao, Dong, Guanghui, Liu, Yamin, Chen, Jie, Wang, Tong, Zhao, Baoxin, Zeng, Qiang, Lu, Xiangfeng, Liu, Yang, Tang, Nai-jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10380089/
https://www.ncbi.nlm.nih.gov/pubmed/36049332
http://dx.doi.org/10.1016/j.ecoenv.2022.114025
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author Yan, Mengfan
Ge, Han
Zhang, Liwen
Chen, Xi
Yang, Xueli
Liu, Fangchao
Shan, Anqi
Liang, Fengchao
Li, Xuejun
Ma, Zhao
Dong, Guanghui
Liu, Yamin
Chen, Jie
Wang, Tong
Zhao, Baoxin
Zeng, Qiang
Lu, Xiangfeng
Liu, Yang
Tang, Nai-jun
author_facet Yan, Mengfan
Ge, Han
Zhang, Liwen
Chen, Xi
Yang, Xueli
Liu, Fangchao
Shan, Anqi
Liang, Fengchao
Li, Xuejun
Ma, Zhao
Dong, Guanghui
Liu, Yamin
Chen, Jie
Wang, Tong
Zhao, Baoxin
Zeng, Qiang
Lu, Xiangfeng
Liu, Yang
Tang, Nai-jun
author_sort Yan, Mengfan
collection PubMed
description Several literatures have examined the risk of chronic respiratory diseases in association with short-term ambient PM(2.5) exposure in China. However, little evidence has examined the chronic impacts of PM(2.5) exposure on morbidity of chronic respiratory diseases in cohorts from high pollution countries. Our study aims to investigate the associations. Based on a retrospective cohort among adults in northern China, a Cox regression model with time-varying PM(2.5) exposure and a concentration-response (C-R) curve model were performed to access the relationships between incidence of chronic respiratory diseases and long-term PM(2.5) exposure during a mean follow-up time of 9.8 years. Individual annual average PM(2.5) estimates were obtained from a satellite-based model with high resolution. The incident date of a chronic respiratory disease was identified according to self-reported physician diagnosis time and/or intake of medication for treatment. Among 38,047 urban subjects analyzed in all-cause chronic respiratory disease cohort, 482 developed new cases. In CB (38,369), asthma (38,783), and COPD (38,921) cohorts, the onsets were 276, 89, and 14, respectively. After multivariable adjustment, hazard ratio and 95% confidence interval for morbidity of all-cause chronic respiratory disease, CB, asthma, and COPD were 1.15 (1.01, 1.31), 1.20 (1.00, 1.42), 0.76 (0.55, 1.04), and 0.66 (0.29, 1.47) with each 10 μg/m(3) increment in PM(2.5), respectively. Stronger effect estimates were suggested in alcohol drinkers across stratified analyses. Additionally, the shape of C-R curve showed an increasing linear relationship before 75.00 μg/m(3) concentrations of PM(2.5) for new-onset all-cause chronic respiratory disease, and leveled off at higher levels. These findings indicated that long-term exposure to high-level PM(2.5) increased the risks of incident chronic respiratory diseases in China. Further evidence of C-R curves is warranted to clarify the associations of adverse chronic respiratory outcomes involving air pollution.
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spelling pubmed-103800892023-10-01 Long-term PM(2.5) exposure in association with chronic respiratory diseases morbidity: A cohort study in Northern China Yan, Mengfan Ge, Han Zhang, Liwen Chen, Xi Yang, Xueli Liu, Fangchao Shan, Anqi Liang, Fengchao Li, Xuejun Ma, Zhao Dong, Guanghui Liu, Yamin Chen, Jie Wang, Tong Zhao, Baoxin Zeng, Qiang Lu, Xiangfeng Liu, Yang Tang, Nai-jun Ecotoxicol Environ Saf Article Several literatures have examined the risk of chronic respiratory diseases in association with short-term ambient PM(2.5) exposure in China. However, little evidence has examined the chronic impacts of PM(2.5) exposure on morbidity of chronic respiratory diseases in cohorts from high pollution countries. Our study aims to investigate the associations. Based on a retrospective cohort among adults in northern China, a Cox regression model with time-varying PM(2.5) exposure and a concentration-response (C-R) curve model were performed to access the relationships between incidence of chronic respiratory diseases and long-term PM(2.5) exposure during a mean follow-up time of 9.8 years. Individual annual average PM(2.5) estimates were obtained from a satellite-based model with high resolution. The incident date of a chronic respiratory disease was identified according to self-reported physician diagnosis time and/or intake of medication for treatment. Among 38,047 urban subjects analyzed in all-cause chronic respiratory disease cohort, 482 developed new cases. In CB (38,369), asthma (38,783), and COPD (38,921) cohorts, the onsets were 276, 89, and 14, respectively. After multivariable adjustment, hazard ratio and 95% confidence interval for morbidity of all-cause chronic respiratory disease, CB, asthma, and COPD were 1.15 (1.01, 1.31), 1.20 (1.00, 1.42), 0.76 (0.55, 1.04), and 0.66 (0.29, 1.47) with each 10 μg/m(3) increment in PM(2.5), respectively. Stronger effect estimates were suggested in alcohol drinkers across stratified analyses. Additionally, the shape of C-R curve showed an increasing linear relationship before 75.00 μg/m(3) concentrations of PM(2.5) for new-onset all-cause chronic respiratory disease, and leveled off at higher levels. These findings indicated that long-term exposure to high-level PM(2.5) increased the risks of incident chronic respiratory diseases in China. Further evidence of C-R curves is warranted to clarify the associations of adverse chronic respiratory outcomes involving air pollution. 2022-10-01 2022-08-29 /pmc/articles/PMC10380089/ /pubmed/36049332 http://dx.doi.org/10.1016/j.ecoenv.2022.114025 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) ).
spellingShingle Article
Yan, Mengfan
Ge, Han
Zhang, Liwen
Chen, Xi
Yang, Xueli
Liu, Fangchao
Shan, Anqi
Liang, Fengchao
Li, Xuejun
Ma, Zhao
Dong, Guanghui
Liu, Yamin
Chen, Jie
Wang, Tong
Zhao, Baoxin
Zeng, Qiang
Lu, Xiangfeng
Liu, Yang
Tang, Nai-jun
Long-term PM(2.5) exposure in association with chronic respiratory diseases morbidity: A cohort study in Northern China
title Long-term PM(2.5) exposure in association with chronic respiratory diseases morbidity: A cohort study in Northern China
title_full Long-term PM(2.5) exposure in association with chronic respiratory diseases morbidity: A cohort study in Northern China
title_fullStr Long-term PM(2.5) exposure in association with chronic respiratory diseases morbidity: A cohort study in Northern China
title_full_unstemmed Long-term PM(2.5) exposure in association with chronic respiratory diseases morbidity: A cohort study in Northern China
title_short Long-term PM(2.5) exposure in association with chronic respiratory diseases morbidity: A cohort study in Northern China
title_sort long-term pm(2.5) exposure in association with chronic respiratory diseases morbidity: a cohort study in northern china
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10380089/
https://www.ncbi.nlm.nih.gov/pubmed/36049332
http://dx.doi.org/10.1016/j.ecoenv.2022.114025
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