Association between ambient air pollution and daily non-accidental mortality

Evidence from the coastal city of Shantou, China

Bibliographic Data

ID22075552
AuthorsYanhu Ji (0000-0001-5045-2919, Zhangzhou Vocational and Technical College), Yangchun Zheng (Taiwan Centers for Disease Control), Chen Zhou (0000-0001-5684-4462, Taiwan Centers for Disease Control), Xinyi Chen (0000-0001-5084-7849, Shantou University), Zepeng Huang (0000-0001-9997-649X, Shantou University, corresponding author), Guangxing Xu (Taiwan Centers for Disease Control, corresponding author)
Year2026
Volume14
Pages1821846-1821846
Publication date2026-06-18
Open AccessYes
TypeARTICLE
VenueFrontiers in Public Health (JOURNAL)
Journal identifiersISSN: 2296-2565 • E-ISSN: 2296-2565
PublisherFrontiers Media SA (PUBLISHER • CH)
DOI10.3389/fpubh.2026.1821846
PMID42395289
OpenAlexW7165170331
LanguageEN
References cited46

Background Current epidemiological evidence on the association between air pollutants and non-accidental mortality remains limited, particularly in developing countries. This study aimed to investigate the short-term association between ambient air pollution and non-accidental mortality, and to quantify the attributable disease burden in Shantou, a subtropical coastal city in China. Methods Daily data on non-accidental mortality, meteorological factors, and ambient air pollutants including PM 2.5 , PM 10 , SO 2 , NO 2 , CO, and O 3 were collected in Shantou from 2016 to 2020. A Poisson generalized additive model (GAM) was applied to estimate the acute effects of air pollutants on non-accidental mortality, with stratification analyses by gender, age, and season. Attributable fractions (AFs) and attributable numbers (ANs) were further estimated based on the World Health Organization (WHO) air quality guidelines and Chinese air quality standards. Results Non-accidental mortality in Shantou was significantly associated with exposure to PM 2.5 , PM 10 , SO 2 , NO 2 and O 3 , but not with CO. Per 10 μg/m 3 increase in air pollutant concentration, the strongest relative risks (RRs) and 95% confidence intervals (CIs) for non-accidental mortality were 1.0199 (1.0106–1.0294) for PM 2.5 at lag03 days, 1.0146 (1.0085–1.0209) for PM 10 at lag 03 days, 1.1268 (1.0773–1.1786) for SO 2 at lag 07 days, 1.0256 (1.0093–1.0422) for NO 2 at lag 03 days, and 1.0048 (1.0013–1.0083) for O3 at lag 04 days, respectively. Stratified analyses showed that individuals aged 65 years and older were more susceptible only to O3. The significant adverse effect of O3 was significantly stronger in the warm season than in the cold season, while no significant difference was found between males and females. Overall, 4.23% (5,576 cases) of non-accidental deaths were attributable to excess exposure to air pollution exceeding the WHO air quality guidelines. Conclusion Short-term exposure to PM 2.5 , PM 10 , SO 2 , NO 2 and O 3 was significantly associated with elevated non-accidental mortality in Shantou, a coastal subtropical city, imposing a considerable disease burden. Our findings highlight the urgent need for effective air pollution control strategies to reduce the related disease burden

Air pollutants · Air pollution · Air quality index · China · Distributed lag · Generalized additive model · Lag · Pollutant · Relative risk · Air Quality and Health Impacts · Climate Change and Health Impacts · Energy and Environment Impacts

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