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. 2024 Jul 24;14(1):17106.
doi: 10.1038/s41598-024-67617-2.

Time series analysis of the interaction between ambient temperature and air pollution on hospitalizations for AECOPD in Ganzhou, China

Chenyang Shi  1 , Jinyun Zhu  2 , Guoliang Liu  3 , Zhicheng Du  4 , Yanbin Hao  5
Affiliations

Time series analysis of the interaction between ambient temperature and air pollution on hospitalizations for AECOPD in Ganzhou, China

Chenyang Shi et al. Sci Rep. .

Abstract

This study aimed to investigate the univariate and bivariate effects of ambient temperature and air pollutants on 57,251 inpatients with AECOPD (Acute Exacerbation of Chronic Obstructive Pulmonary Disease) in Ganzhou from January 1, 2016, to December 31, 2019. We categorized the daily mean temperature and air pollutant variables based on the exposure-response curve of the Distributed Lag Non-Linear Model. Poisson regression model was used for interaction and stratification analysis. The Relative Excess Risk due to Interaction (RERI) with 95% confidence intervals (95% CI) between daily mean temperature (Tmean) and air pollutants including NO2, PM2.5, and PM10 were - 0.428 (95% CI - 0.637, - 0.218), -- 0.227 (95% CI - 0.293, - 0.161), and - 0.119 (95% CI - 0.159, - 0.079). Further stratification analysis showed the relative risk (RR) (95% CI) of high NO2 (> 33 μg/m3) at low Tmean (≤ 28 °C) was 1.119 (95% CI 1.096, 1.142). Low temperatures with high PM10 in men and high PM2.5 in women were associated with a higher risk of AECOPD hospitalization. The results indicate a higher risk of hospitalization for AECOPD when there is with high concentrations of air pollution at low temperatures.

Keywords: AECOPD; Air pollution; Distributed lag nonlinear model; Interaction; Temperature.

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Conflict of interest statement

The authors declare no competing interests.

Figures

Figure 1
Figure 1
Daily trends of AECOPD hospitalizations and environmental factors in Ganzhou, 2016–2019.
Figure 2
Figure 2
Cumulative effect curves of daily mean temperature (Tmean), PM2.5, PM10 and NO2 on AECOPD hospitalizations in Ganzhou, 2016–2019.
See this image and copyright information in PMC

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