Effect of short-term exposure to air pollution on daily cardio- and cerebro-vascular hospitalisations in areas with a low level of air pollution.

Author:

Hasnain Md Golam1ORCID,Garcia-Esperon Carlos2,Tomari Yumi1,Walker Rhonda3,Saluja Tarunpreet4,Rahman Md Mijanur5,Boyle Andrew6,Levi Christopher R2,Naidu Ravi7,Filippelli Gabriel8,Spratt Neil J2

Affiliation:

1. The University of Newcastle College of Health Medicine and Wellbeing

2. John Hunter Hospital Department of Neurology

3. John Hunter Hospital

4. John Hunter Hospital Department of Cardiology

5. The Daffodil Centre, The University of Sydney

6. John Hunter Hospital, Department of Cardiology

7. The University of Newcastle College of Engineering Science and Environment

8. Department of Earth Sciences, Indiana University-Purdue University Indianapolis

Abstract

Abstract Exposure to air pollution is associated with increased cardio- and cerebro-vascular diseases. However, the evidence regarding the short-term effect of air pollution on cardio- and cerebro-vascular hospitalisations in areas with relatively low air pollution levels is limited. This study aims to examine the effect of short-term exposure to different air pollutants on hospital admissions due to cardio- and cerebro-vascular diseases in rural and regional Australia with low air pollution. The study was conducted in five local Government areas of Hunter New England Local Health District (HNE-LHD). Hospitalisation data from January 2018 to February 2020 (820 days) were accessed from the HNE-LHD admitted patients’ dataset. Poisson regression model was used to examine the association between the exposure (air pollutants) and outcome variables (hospitalisation due to cardio- and cerebrovascular disease). The concentrations of gaseous air pollutants, Sulphur Dioxide (SO2), Nitrogen Dioxide (NO2), Ozone (O3), Carbon Monoxide (CO), and Ammonia (NH3) were below national benchmark concentrations for every day of the study period. In single pollutant models, SO2 and NO2 significantly increased the daily number of cardio and cerebrovascular hospitalisations. The highest cumulative effect for SO2 was observed across lag 0-3 days (Incidence Rate Ratio, IRR: 1.77; 95% Confidence Interval, CI: 1.18-2.65; p-value: 0.01), and for NO2, it was across lag 0-2 days (IRR: 1.13; 95% CI: 1.02-1.25; p-value: 0.02). In contrast, higher O3 was associated with decreased cardio- and cerebro-vascular hospitalisations, with the largest effect observed at lag 0 (IRR: 0.94; 95% CI: 0.89-0.98; p-value: 0.02). In the multi-pollutant model, the effect of NO2 remained significant at lag 0 and corresponded to a 21% increase in cardio- and cerebro-vascular hospitalisation (95% CI: 1%-44%; p-value = 0.04). Thus, the study revealed that gaseous air pollutants, specifically NO2, were positively related to increased cardio- and cerebro-vascular hospitalisations, even at concentrations below the national standards.

Publisher

Research Square Platform LLC

Reference27 articles.

1. Air Quality Data Services (2020) NSW Government: Planning, Industry and Environment; https://www.dpie.nsw.gov.au/air-quality/air-quality-data-services (access 11.04.2022).

2. Air Quality Monitoring Reports. Available: https://www.environment.nsw.gov.au/topics/air/monitoring-air-quality/air-quality-monitoring-reports (access 11.04.2022)

3. Cardiovascular effects of air pollution;Bourdrel T;Arch Cardiovasc Dis,2017

4. Climate Data Online (2020) Australian Government: Bureau of Meteorology; http://www.bom.gov.au/climate/data/ (access 11.04.2022).

5. Estimates and 25-year trends of the global burden of disease attributable to ambient air pollution: an analysis of data from the Global Burden of Diseases Study 2015;Cohen AJ;Lancet (London England),2017

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3