Global, regional, and national burden of ischemic heart disease attributable to ambient PM2.5 from 1990 to 2019: An analysis for the global burden of disease study 2019

Li-Hao Guo; Li-Zi Lin; Yang Zhou; Bin Jalaludin; Lidia Morawska; Shyamali C Dharmage; Luke D Knibbs; Guo-Feng Huang; Duo-Hong Chen; Huimin Ma; Meng Gao; Joachim Heinrich; Peien Zhou; Zhao-Huan Gui; Chu Chu; Ru-Qing Liu; Guang-Hui Dong

doi:10.1016/j.envres.2023.117635

Global, regional, and national burden of ischemic heart disease attributable to ambient PM_2.5 from 1990 to 2019: An analysis for the global burden of disease study 2019

Environ Res. 2024 Jan 15:241:117635. doi: 10.1016/j.envres.2023.117635. Epub 2023 Nov 14.

Authors

Li-Hao Guo¹, Li-Zi Lin², Yang Zhou³, Bin Jalaludin⁴, Lidia Morawska⁵, Shyamali C Dharmage⁶, Luke D Knibbs⁷, Guo-Feng Huang⁸, Duo-Hong Chen⁹, Huimin Ma¹⁰, Meng Gao¹¹, Joachim Heinrich¹², Peien Zhou¹³, Zhao-Huan Gui¹⁴, Chu Chu¹⁵, Ru-Qing Liu¹⁶, Guang-Hui Dong¹⁷

Affiliations

¹ Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China. Electronic address: guolh7@mail2.sysu.edu.cn.
² Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China. Electronic address: linlz@mail.sysu.edu.cn.
³ State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, South China Institute of Environmental Sciences, Ministry of Environmental Protection, Guangzhou, 510655, China. Electronic address: zhouyang@scies.org.
⁴ Centre for Air Quality and Health Research and Evaluation, Glebe, NSW, 2037, Australia; Ingham Institute for Applied Medial Research, Liverpool, NSW, 2170, Australia; School of Public Health and Community Medicine, The University of New South Wales, Kensington, NSW, 2052, Australia. Electronic address: b.jalaludin@unsw.edu.au.
⁵ International Laboratory for Air Quality and Health, Queensland University of Technology, Brisbane, Queensland, 4001, Australia. Electronic address: l.morawska@qut.edu.au.
⁶ Allergy and Lung Health Unit, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, VIC, 3052, Australia. Electronic address: s.dharmage@unimelb.edu.au.
⁷ School of Public Health, Faculty of Medicine and Health, The University of Sydney, NSW, 2006, Australia. Electronic address: knibbs@sydney.edu.au.
⁸ Department of Air Quality Forecasting and Early Warning, Guangdong Environmental Monitoring Center, State Environmental Protection Key Laboratory of Regional Air Quality Monitoring, Guangdong Environmental Protection Key Laboratory of Atmospheric Secondary Pollution, Guangzhou, 510308, China. Electronic address: 49399439@qq.com.
⁹ Department of Air Quality Forecasting and Early Warning, Guangdong Environmental Monitoring Center, State Environmental Protection Key Laboratory of Regional Air Quality Monitoring, Guangdong Environmental Protection Key Laboratory of Atmospheric Secondary Pollution, Guangzhou, 510308, China. Electronic address: Chenduohong@hotmail.com.
¹⁰ State Key Laboratory of Organic Geochemistry and Guangdong Key Laboratory of Environmental Protection and Resources Utilization, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou, 510640, China. Electronic address: mahuimin@gig.ac.cn.
¹¹ Department of Geography, Hong Kong Baptist University, Hong Kong, China. Electronic address: mmgao2@hkbu.edu.hk.
¹² Institute and Clinic for Occupational, Social and Environmental Medicine, University Hospital, LMU Munich, Munich, 80336, Germany. Electronic address: heinrich@helmholtz-muenchen.de.
¹³ Department of Public Health & Primary Care, University of Cambridge, Cambridge, CB2 1TN, UK. Electronic address: pz284@cam.ac.uk.
¹⁴ Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China. Electronic address: guizhh3@mail.sysu.edu.cn.
¹⁵ Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China. Electronic address: chuch3@mail2.sysu.edu.cn.
¹⁶ Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China. Electronic address: liurq@mail.sysu.edu.cn.
¹⁷ Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China. Electronic address: donggh5@mail.sysu.edu.cn.

PMID: 37972813
DOI: 10.1016/j.envres.2023.117635

Abstract

Information on the spatio-temporal patterns of the burden of ischemic heart disease (IHD) caused by ambient ambient fine particulate matter (PM_2.5) in the global level is needed to prioritize the control of ambient air pollution and prevent the burden of IHD. The Global Burden of Disease Study (GBD) 2019 provides data on IHD attributable to ambient PM_2.5. The IHD burden and mortality attributable to ambient PM_2.5 were analyzed by year, age, gender, socio-demographic index (SDI) level, geographical region and country. Estimated annual percentage change (EAPC) was calculated to estimate the temporal trends of age-standardized mortality rate (ASMR) and age-standardized disability-adjusted life years rate (ASDR) from 1990 to 2019. Globally, the ASMR and ASDR for ambient PM_2.5-related IHD tended to level off generally, with EAPC of -0.03 (95% CI: -0.06, 0.12) and 0.3 (95% CI: 0.22, 0.37), respectively. In the past 30 years, there were obvious differences in the trend of burden change among different regions. A highest increased burden was estimated in low-middle SDI region (EAPC of ASMR: 3.73 [95% CI: 3.56, 3.9], EAPC of ASDR: 3.83 [95% CI: 3.64, 4.02]). In contrast, the burden in high SDI region (EAPC of ASMR: -4.48 [95% CI: -4.6, -4.35], EAPC of ASDR: -3.98 [95% CI: -4.12, -3.85]) has declined most significantly. Moreover, this burden was higher among men and older populations. EAPCs of the ASMR (R = -0.776, p < 0.001) and ASDR (R = -0.781, p < 0.001) of this burden had significant negative correlations with the countries' SDI level. In summary, although trends in the global burden of IHD attributable to ambient PM_2.5 are stabilizing, but this burden has shifted from high SDI countries to middle and low SDI countries, especially among men and elderly populations. To reduce this burden, the air pollution management prevention need to be further strengthened, especially among males, older populations, and middle and low SDI countries.

Keywords: Air pollution; Ambient PM(2.5); Death; Disability-adjusted life years; Global burden; IHD.

MeSH terms

Aged
Air Pollution* / adverse effects
Environmental Pollution
Global Burden of Disease
Global Health
Humans
Male
Myocardial Ischemia* / epidemiology
Quality-Adjusted Life Years