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Association between Particulate Matter Pollution Concentration and Hospital Admissions for Hypertension in Ganzhou, China

Fine particulate matter (PM(2.5)) and respirable particulate matter (PM(10)) are two major air pollutants with toxic effects on the cardiovascular system. Hypertension, as a chronic noncommunicable cardiovascular disease, is also a risk factor for several diseases. We applied generalized linear mode...

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Autores principales: Li, Chenwei, Zhou, Xinye, Huang, Kun, Zhang, Xiaokang, Gao, Yanfang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8872648/
https://www.ncbi.nlm.nih.gov/pubmed/35223092
http://dx.doi.org/10.1155/2022/7413115
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author Li, Chenwei
Zhou, Xinye
Huang, Kun
Zhang, Xiaokang
Gao, Yanfang
author_facet Li, Chenwei
Zhou, Xinye
Huang, Kun
Zhang, Xiaokang
Gao, Yanfang
author_sort Li, Chenwei
collection PubMed
description Fine particulate matter (PM(2.5)) and respirable particulate matter (PM(10)) are two major air pollutants with toxic effects on the cardiovascular system. Hypertension, as a chronic noncommunicable cardiovascular disease, is also a risk factor for several diseases. We applied generalized linear models with a quasi-Poisson link to assess the effect of air pollution exposure on the number of daily admissions for patients with hypertension. In addition, we established a two-pollutant model to evaluate PM(2.5) and PM(10) hazard effect stability by adjusting the other gaseous pollutants. Results showed that during the study period, 24 h mean concentrations of ambient PM(2.5) and PM(10) at 38.17 and 59.84 μg/m(3), respectively, and a total of 2,611 hypertension hospital admissions were recorded. Air pollution concentrations significantly affected the number of hospitalizations for hypertension approximately 2 months after exposure. For each 10 μg/m(3) increase in PM(2.5) and PM(10) in single-pollutant models, the number of hospitalizations for hypertension increased by 7.92% (95% CI: 5.48% to 10.42%) and 4.46% (95% CI: 2.86% to 5.65%), respectively, at the lag day with the strongest effect. NO(2), O(3), CO, and SO(2) had different significant effects on the number of hospitalizations over the same time period, and PM(2.5) and PM(10) still showed robust significant effects after adjustment of gas pollutants through a two-pollutant model. These findings may contribute to a better understanding of the health effects of ambient particulate matter.
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spelling pubmed-88726482022-02-25 Association between Particulate Matter Pollution Concentration and Hospital Admissions for Hypertension in Ganzhou, China Li, Chenwei Zhou, Xinye Huang, Kun Zhang, Xiaokang Gao, Yanfang Int J Hypertens Research Article Fine particulate matter (PM(2.5)) and respirable particulate matter (PM(10)) are two major air pollutants with toxic effects on the cardiovascular system. Hypertension, as a chronic noncommunicable cardiovascular disease, is also a risk factor for several diseases. We applied generalized linear models with a quasi-Poisson link to assess the effect of air pollution exposure on the number of daily admissions for patients with hypertension. In addition, we established a two-pollutant model to evaluate PM(2.5) and PM(10) hazard effect stability by adjusting the other gaseous pollutants. Results showed that during the study period, 24 h mean concentrations of ambient PM(2.5) and PM(10) at 38.17 and 59.84 μg/m(3), respectively, and a total of 2,611 hypertension hospital admissions were recorded. Air pollution concentrations significantly affected the number of hospitalizations for hypertension approximately 2 months after exposure. For each 10 μg/m(3) increase in PM(2.5) and PM(10) in single-pollutant models, the number of hospitalizations for hypertension increased by 7.92% (95% CI: 5.48% to 10.42%) and 4.46% (95% CI: 2.86% to 5.65%), respectively, at the lag day with the strongest effect. NO(2), O(3), CO, and SO(2) had different significant effects on the number of hospitalizations over the same time period, and PM(2.5) and PM(10) still showed robust significant effects after adjustment of gas pollutants through a two-pollutant model. These findings may contribute to a better understanding of the health effects of ambient particulate matter. Hindawi 2022-02-17 /pmc/articles/PMC8872648/ /pubmed/35223092 http://dx.doi.org/10.1155/2022/7413115 Text en Copyright © 2022 Chenwei Li et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Li, Chenwei
Zhou, Xinye
Huang, Kun
Zhang, Xiaokang
Gao, Yanfang
Association between Particulate Matter Pollution Concentration and Hospital Admissions for Hypertension in Ganzhou, China
title Association between Particulate Matter Pollution Concentration and Hospital Admissions for Hypertension in Ganzhou, China
title_full Association between Particulate Matter Pollution Concentration and Hospital Admissions for Hypertension in Ganzhou, China
title_fullStr Association between Particulate Matter Pollution Concentration and Hospital Admissions for Hypertension in Ganzhou, China
title_full_unstemmed Association between Particulate Matter Pollution Concentration and Hospital Admissions for Hypertension in Ganzhou, China
title_short Association between Particulate Matter Pollution Concentration and Hospital Admissions for Hypertension in Ganzhou, China
title_sort association between particulate matter pollution concentration and hospital admissions for hypertension in ganzhou, china
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8872648/
https://www.ncbi.nlm.nih.gov/pubmed/35223092
http://dx.doi.org/10.1155/2022/7413115
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