ORIGINAL RESEARCH article

Front. Public Health

Sec. Environmental Health and Exposome

Volume 13 - 2025 | doi: 10.3389/fpubh.2025.1543602

Association between exposure to air pollutants and cardiovascular disease mortality in coastal area of eastern China

Provisionally accepted
  • 1Department of Biostatistics, School of Public Health, Suzhou Medical College of Soochow University, Suzhou,Jiangsu, China
  • 2Department of Chronic Disease Prevention and Control, Rudong Center for Disease Control and Prevention, Nantong, China

The final, formatted version of the article will be published soon.

The impact of air pollutants on cardiovascular disease (CVD) mortality remains inadequately studied in Rudong, an eastern coastal area of China. This study aimed to investigate the association between air pollutants and CVD mortality in Rudong.Methods: Daily number of deaths from CVD, meteorological and air pollutants data in Rudong from 2013 to 2022 were collected. The generalized additive model (GAM) was employed to analyze the relationship between air pollutants and CVD mortality, and stratified analyses were conducted by gender, age, and season.Results: There was a significant association between air pollutants and CVD mortality. A total of 36,972 deaths from CVD-related deaths were included in the study. We observed that short-term exposure to PM2.5, PM10, SO2, CO, and O3 was positively correlated with CVD mortality. Per 10 μg/m 3 increment in PM2.5 (lag05), PM10 (lag05), SO2 (lag05), CO (lag04), and O3 (lag06) (per 1 mg/m 3 increment in CO), the excess risk of CVD mortality were 0.899 (95%CI: 0.021, 1.785), 0.938

Keywords: Air Pollutants, Excess deaths, Time-series study, Generalized additive model, Coastal area, Cardiovascular Diseases

Received: 11 Dec 2024; Accepted: 21 May 2025.

Copyright: © 2025 Cao, Zhou and Tang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Zaixiang Tang, Department of Biostatistics, School of Public Health, Suzhou Medical College of Soochow University, Suzhou,Jiangsu, China

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