Effects of ambient PM_2.5 on non-accidental death: a time-series study in Shenzhen, China during 2014-2019

ABSTRACT

This study aims to investigate the impact of PM_2.5 on non-accidental death of residents. The single-pollutant model revealed that the influence of PM_2.5 on non-accidental death was significant at lag0 and lag4–6, and was greatest at lag5. A 10 µg/m³ increase in PM_2.5 was related with a 1.31% increase in non-accidental deaths. The connection between PM_2.5 and non-accidental death was stronger in femalesthan males, in people aged ≥ 65 years than people aged < 65 years, and in people below high school education than people with high school education or above. Two-pollutant model revealed that the influence of PM_2.5 on non-accidental death was essentially unchanged when CO, SO₂, and O₃ were included and reduced when NO₂ was included. The multiple-pollutant model showed that the effect of ambient PM_2.5 on non-accidental death was reduced. An increase in PM_2.5 concentrations may cause an increase in non-accidental death.

KEYWORDS:

• Mortality
• generalized additive model
• PM_2.5

Acknowledgements

The authors would like to thank all the participants, coordinators, and administrators for their supports in this study.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Authors’ contributions

Jingfeng Mu: Methodology, Software, Visualization, Writing-original draft, Funding acquisition. Haoxi Zhong: Software, Visualization, Writing-original draft. Mingjie Jiang: Data curation.

Data availability statement

The datasets used and/or analysed during the current study available from the corresponding author on reasonable request.

Ethics approval

This study was approved by the Ethics Committee of the Shenzhen Eye Hospital (2023KYPJ057).

Supplemental data

Supplemental data for this article can be accessed online at https://doi.org/10.1080/09603123.2024.2341430.

Additional information

Funding

This work was supported by Shenzhen Fund for Guangdong Provincial High-level Clinical Key Specialties [SZGSP014] and Shenzhen Science and Technology Program [JCYJ20230807114608016].