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

Fine particulate matter (PM2.5) and respirable particulate matter (PM10) 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 w...

Full description

Saved in:
Bibliographic Details
Main Authors: Chenwei Li, Xinye Zhou, Kun Huang, Xiaokang Zhang, Yanfang Gao
Format: Article
Language:English
Published: Wiley 2022-01-01
Series:International Journal of Hypertension
Online Access:http://dx.doi.org/10.1155/2022/7413115
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1832564052799258624
author Chenwei Li
Xinye Zhou
Kun Huang
Xiaokang Zhang
Yanfang Gao
author_facet Chenwei Li
Xinye Zhou
Kun Huang
Xiaokang Zhang
Yanfang Gao
author_sort Chenwei Li
collection DOAJ
description Fine particulate matter (PM2.5) and respirable particulate matter (PM10) 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 PM2.5 and PM10 hazard effect stability by adjusting the other gaseous pollutants. Results showed that during the study period, 24 h mean concentrations of ambient PM2.5 and PM10 at 38.17 and 59.84 μg/m3, 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/m3 increase in PM2.5 and PM10 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. NO2, O3, CO, and SO2 had different significant effects on the number of hospitalizations over the same time period, and PM2.5 and PM10 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.
format Article
id doaj-art-4cb11bb78c504e35bdacec1850d00016
institution Kabale University
issn 2090-0392
language English
publishDate 2022-01-01
publisher Wiley
record_format Article
series International Journal of Hypertension
spelling doaj-art-4cb11bb78c504e35bdacec1850d000162025-02-03T01:11:56ZengWileyInternational Journal of Hypertension2090-03922022-01-01202210.1155/2022/7413115Association between Particulate Matter Pollution Concentration and Hospital Admissions for Hypertension in Ganzhou, ChinaChenwei Li0Xinye Zhou1Kun Huang2Xiaokang Zhang3Yanfang Gao4School of Public Health and Health ManagementSchool of Public Health and Health ManagementSchool of Public Health and Health ManagementSchool of Public Health and Health ManagementSchool of Public Health and Health ManagementFine particulate matter (PM2.5) and respirable particulate matter (PM10) 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 PM2.5 and PM10 hazard effect stability by adjusting the other gaseous pollutants. Results showed that during the study period, 24 h mean concentrations of ambient PM2.5 and PM10 at 38.17 and 59.84 μg/m3, 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/m3 increase in PM2.5 and PM10 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. NO2, O3, CO, and SO2 had different significant effects on the number of hospitalizations over the same time period, and PM2.5 and PM10 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.http://dx.doi.org/10.1155/2022/7413115
spellingShingle Chenwei Li
Xinye Zhou
Kun Huang
Xiaokang Zhang
Yanfang Gao
Association between Particulate Matter Pollution Concentration and Hospital Admissions for Hypertension in Ganzhou, China
International Journal of Hypertension
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
url http://dx.doi.org/10.1155/2022/7413115
work_keys_str_mv AT chenweili associationbetweenparticulatematterpollutionconcentrationandhospitaladmissionsforhypertensioninganzhouchina
AT xinyezhou associationbetweenparticulatematterpollutionconcentrationandhospitaladmissionsforhypertensioninganzhouchina
AT kunhuang associationbetweenparticulatematterpollutionconcentrationandhospitaladmissionsforhypertensioninganzhouchina
AT xiaokangzhang associationbetweenparticulatematterpollutionconcentrationandhospitaladmissionsforhypertensioninganzhouchina
AT yanfanggao associationbetweenparticulatematterpollutionconcentrationandhospitaladmissionsforhypertensioninganzhouchina