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. 2024 Jul 15;24(1):1877.
doi: 10.1186/s12889-024-19380-2.

Effects of major air pollutants on angina hospitalizations: a correlation study

Affiliations

Effects of major air pollutants on angina hospitalizations: a correlation study

Anning Zhu et al. BMC Public Health. .

Abstract

Background: Angina is a crucial risk signal for cardiovascular disease. However, few studies have evaluated the effects of ambient air pollution exposure on angina.

Objective: We aimed to explore the short-term effects of air pollution on hospitalization for angina and its lag effects.

Methods: We collected data on air pollutant concentrations and angina hospitalizations from 2013 to 2020. Distributed lag nonlinear model (DLNM) was used to evaluate the short-term effects of air pollutants on angina hospitalization under different lag structures. Stratified analysis by sex, age and season was obtained.

Results: A total of 39,110 cases of angina hospitalization were included in the study. The results showed a significant positive correlation between PM2.5, SO2, NO2, and CO and angina hospitalization. Their maximum harmful effects were observed at lag0-7 (RR = 1.042; 95% CI: 1.017, 1.068), lag0-3 (RR = 1.067; 95% CI: 1.005, 1.133), lag0-6 (RR = 1.078; 95% CI: 1.041, 1.117), and lag0-6 (RR = 1.244; 95% CI: 1.109, 1.397), respectively. PM10 did not have an overall risk effect on angina hospitalization, but it did have a risk effect on women and the elderly. O3 was significantly negatively correlated with angina hospitalization, with the most pronounced effect observed at lag0-6 (RR = 0.960; 95% CI: 0.940, 0.982). Stratified analysis results showed that women and the elderly were more susceptible to pollutants, and the adverse effects of pollutants were stronger in the cold season.

Conclusion: Short-term exposure to PM2.5, SO2, NO2, and CO increases the risk of hospitalization for angina.

Keywords: Air pollution; Angina pectoris; Hospitalization; Relative risk.

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Conflict of interest statement

The authors declare no competing interests.

Figures

Fig. 1
Fig. 1
Time series of angina hospitalizations and pollutant concentrations in Lanzhou, China, 2013–2020
Fig. 2
Fig. 2
Exposure response relationships between six air pollutants and angina hospitalizations
Fig. 3
Fig. 3
Contour plot of relative risk of angina hospitalization with changes in air pollutant concentration and lag days
Fig. 4
Fig. 4
Relative risk (95% CI) of angina hospitalization for each 10 µg/m3 increase in air pollutant concentration (each 1 mg/m3 increase in CO) in single-day lags and cumulative lags
Fig. 5
Fig. 5
Relative risk (95% CI) of angina hospitalization stratified by sex for each 10 µg/m3 increase in air pollutant concentration (each 1 mg/m3 increase in CO) in single-day lags and cumulative lags
Fig. 6
Fig. 6
Relative risk (95% CI) of angina hospitalization stratified by age for each 10 µg/m3 increase in air pollutant concentration (each 1 mg/m3 increase in CO) in single-day lags and cumulative lags
Fig. 7
Fig. 7
Relative risk (95% CI) of angina hospitalization stratified by season for each 10 µg/m3 increase in air pollutant concentration (each 1 mg/m3 increase in CO) in single-day lags and cumulative lags

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