The Effects of PM Components on the Cardiovascular Disease Admissions in Shanghai City, China: a Multi- Region Study

Overview

Journal BMC Public Health

Publisher Biomed Central

Specialty Public Health

Date 2024 Dec 31

PMID 39741307

Authors

Wanying Su

Heping Liu

Tiantian Han

Yunyun Wang

Yi An

Yan Lin

Affiliations

Soon will be listed here.

Abstract

Background: The burden of cardiovascular disease (CVD) is severe worldwide. Although many studies have investigated the association of particulate pollution with CVD, the effect of finer particulate pollution components on CVD remains unclear. This study aimed to explore the effect of five PM components ([Formula: see text], sulfate; [Formula: see text], nitrate; [Formula: see text], ammonium; OM, organic matter; BC, carbon black) on CVD admission in Shanghai City, identify the susceptible population, and provide clues for the prevention and control of particulate pollution.

Methods: Daily PM components data during 2013-2019 in three districts of Shanghai were obtained from Tracking Air Pollution in China. We obtained CVD daily admissions data from relevant departments of Tongji Hospital, including basic information (sex, age, time of admissions, ICD code of root cause of admissions, etc.). First, generalized additive model (GAM) and distributed lag non-linear (DLNM) model were used to evaluate the individual effects of PM components on CVD admission in three districts of Shanghai. Then, the three regions were pooled for analysis using either a random-effects model or a fixed-effects model.

Results: Overall, all five PM components had significant effects on CVD admission risk. BC and OM were strongly associated with daily CVD admissions, with increasing interquartile range of the concentrations, the maximum values of cumulative RR (95% CI) were 1.318 (95%CI: 1.222-1.415) and 1.243 (95%CI: 1.164-1.322), respectively. The elderly (≥ 65 years old) was more sensitive to the four PM components than the young population. [Formula: see text] and BC were strongest associated with CVD admissions in the elderly than in younger people, with increasing interquartile range of the concentrations, the maximum cumulative RR (95% CI) was 1.567 (95% CI: 1.116-2.019) and 1.534 (95% CI: 1.104-1.963), respectively.

Conclusions: This study found that five PM components were significant risk factors for CVD admissions and specific CVD diseases in Shanghai City. The elderly were susceptible to [Formula: see text],[Formula: see text], OM, and BC.

References

Rahman M, Shu Y, Chow T, Lurmann F, Yu X, Martinez M . Prenatal Exposure to Air Pollution and Autism Spectrum Disorder: Sensitive Windows of Exposure and Sex Differences. Environ Health Perspect. 2022; 130(1):17008. PMC: 8765363. DOI: 10.1289/EHP9509. View

Klompmaker J, Hart J, James P, Benjamin Sabath M, Wu X, Zanobetti A . Air pollution and cardiovascular disease hospitalization - Are associations modified by greenness, temperature and humidity?. Environ Int. 2021; 156:106715. PMC: 8380672. DOI: 10.1016/j.envint.2021.106715. View

Tian Y, Liu H, Zhao Z, Xiang X, Li M, Juan J . Association between ambient air pollution and daily hospital admissions for ischemic stroke: A nationwide time-series analysis. PLoS Med. 2018; 15(10):e1002668. PMC: 6171821. DOI: 10.1371/journal.pmed.1002668. View

Lin H, Tao J, Du Y, Liu T, Qian Z, Tian L . Particle size and chemical constituents of ambient particulate pollution associated with cardiovascular mortality in Guangzhou, China. Environ Pollut. 2015; 208(Pt B):758-66. DOI: 10.1016/j.envpol.2015.10.056. View

Pun V, Yu I, Qiu H, Ho K, Sun Z, Louie P . Short-term associations of cause-specific emergency hospitalizations and particulate matter chemical components in Hong Kong. Am J Epidemiol. 2014; 179(9):1086-95. DOI: 10.1093/aje/kwu026. View

Altman D, Bland J . Interaction revisited: the difference between two estimates. BMJ. 2003; 326(7382):219. PMC: 1125071. DOI: 10.1136/bmj.326.7382.219. View

Lin H, Liu T, Xiao J, Zeng W, Li X, Guo L . Mortality burden of ambient fine particulate air pollution in six Chinese cities: Results from the Pearl River Delta study. Environ Int. 2016; 96:91-97. DOI: 10.1016/j.envint.2016.09.007. View

Liu S, Li Y, Zeng X, Wang H, Yin P, Wang L . Burden of Cardiovascular Diseases in China, 1990-2016: Findings From the 2016 Global Burden of Disease Study. JAMA Cardiol. 2019; 4(4):342-352. PMC: 6484795. DOI: 10.1001/jamacardio.2019.0295. View

Zhang Y, Liu L, Zhang L, Yu C, Wang X, Shi Z . Assessing short-term impacts of PM constituents on cardiorespiratory hospitalizations: Multi-city evidence from China. Int J Hyg Environ Health. 2021; 240:113912. DOI: 10.1016/j.ijheh.2021.113912. View

10.

Li G, Zhao H, Hu M, He J, Yang W, Zhang H . Short-term exposure to six air pollutants and cause-specific cardiovascular mortality of nine counties or districts in Anhui Province, China. Environ Sci Pollut Res Int. 2022; 29(49):75072-75085. DOI: 10.1007/s11356-022-21128-7. View

11.

Zhang S, Chen L, Qian Z, Li D, Cai M, Wang C . Associations between air pollution and the risk of first admission and multiple readmissions for cardiovascular diseases. Heart. 2023; 110(5):337-345. DOI: 10.1136/heartjnl-2023-322682. View

12.

Rao X, Zhong J, Brook R, Rajagopalan S . Effect of Particulate Matter Air Pollution on Cardiovascular Oxidative Stress Pathways. Antioxid Redox Signal. 2017; 28(9):797-818. PMC: 5831906. DOI: 10.1089/ars.2017.7394. View

13.

Higgins J, Thompson S, Deeks J, Altman D . Measuring inconsistency in meta-analyses. BMJ. 2003; 327(7414):557-60. PMC: 192859. DOI: 10.1136/bmj.327.7414.557. View

14.

Jin Y, Andersson H, Zhang S . Air Pollution Control Policies in China: A Retrospective and Prospects. Int J Environ Res Public Health. 2016; 13(12). PMC: 5201360. DOI: 10.3390/ijerph13121219. View

15.

. Global, regional, and national age-sex-specific mortality for 282 causes of death in 195 countries and territories, 1980-2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet. 2018; 392(10159):1736-1788. PMC: 6227606. DOI: 10.1016/S0140-6736(18)32203-7. View

16.

Gillum R . New considerations in analyzing stroke and heart disease mortality trends: the Year 2000 Age Standard and the International Statistical Classification of Diseases and Related Health Problems, 10th Revision. Stroke. 2002; 33(6):1717-21. DOI: 10.1161/01.str.0000016925.58848.ea. View

17.

Li H, Cai J, Chen R, Zhao Z, Ying Z, Wang L . Particulate Matter Exposure and Stress Hormone Levels: A Randomized, Double-Blind, Crossover Trial of Air Purification. Circulation. 2017; 136(7):618-627. DOI: 10.1161/CIRCULATIONAHA.116.026796. View

18.

Liu C, Yin P, Chen R, Meng X, Wang L, Niu Y . Ambient carbon monoxide and cardiovascular mortality: a nationwide time-series analysis in 272 cities in China. Lancet Planet Health. 2018; 2(1):e12-e18. DOI: 10.1016/S2542-5196(17)30181-X. View

19.

Liu H, Tian Y, Xu Y, Huang Z, Huang C, Hu Y . Association between ambient air pollution and hospitalization for ischemic and hemorrhagic stroke in China: A multicity case-crossover study. Environ Pollut. 2017; 230:234-241. DOI: 10.1016/j.envpol.2017.06.057. View

20.

Kelly F, Dunster C, Mudway I . Air pollution and the elderly: oxidant/antioxidant issues worth consideration. Eur Respir J Suppl. 2003; 40:70s-75s. DOI: 10.1183/09031936.03.00402903. View