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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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Detalles Bibliográficos
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
Descripción
Sumario: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.