Effects of sulfur dioxide and particulate matter pollution on hospital admissions for hypertensive cardiovascular disease: A time series analysis

• Published in: Frontiers in physiology Vol. 14; p. 1124967
• Main Authors: Nouri, Fatemeh, Taheri, Marzieh, Ziaddini, Mahdi, Najafian, Jamshid, Rabiei, Katayoun, Pourmoghadas, Ali, Shariful Islam, Sheikh Mohammed, Sarrafzadegan, Nizal
• Format: Journal Article
• Language: English
• Published: Switzerland Frontiers Media S.A 20.02.2023
• Subjects: air pollution; cubic spline; hypertensive cardiovascular disease; multipollutant model; particulate matter pollution; Physiology; sulfur dioxide; particulate matter pollution; sulfur dioxide; negative binomial regression model; multipollutant model; Poisson regression model; air pollution; cubic spline; hypertensive cardiovascular disease
• ISSN: 1664-042X; 1664-042X
• DOI: 10.3389/fphys.2023.1124967

Air pollution is a major environmental risk factor and the leading cause of disease burden with detrimental effects on cardiovascular systems. Cardiovascular diseases are predisposed by various risk factors, including hypertension, as the most important modifiable risk factor. However, there is a lack of sufficient data concerning the impact of air pollution on hypertension. We sought to study the associations of short-term exposure to Sulfur dioxide (SO ) and particulate matter (PM ) with the number of daily hospital admissions of hypertensive cardiovascular diseases (HCD). All hospitalized patients between March 2010 to March 2012 were recruited with the final diagnosis of HCD based on the International Classification of Diseases 10 (codes: I10-I15) from 15 hospitals in Isfahan, one of the most polluted cities in Iran. The 24-hour average concentrations of pollutants were obtained from 4 monitoring stations. In addition to single- and two-pollutant models, we used Negative Binomial and Poisson models with covariates of holidays, dew point, temperature, wind speed, and extracted latent factors of other pollutants controlling for multi-collinearity to examine the risk for hospital admissions for HCD affected by SO and PM exposures in the multi-pollutant model. A total of 3132 hospitalized patients (63% female) with a mean (standard deviation) age of 64.96 (13.81) were incorporated in the study. The mean concentrations of SO2 and PM10 were 37.64 μg/m3 and 139.08 μg/m3, respectively. Our findings showed that a significantly increased risk of HCD-induced hospital admission was detected for a 10 μg/m3 increase in the 6-day and 3-day moving average of SO2 and PM concentrations in the multi-pollutant model with a percent change of 2.11% (95% confidence interval: 0.61 to 3.63%) and 1.19% (0.33 to 2.05%), respectively. This finding was robust in all models and did not vary by gender (for SO and PM ) and season (for SO ). However, people aged 35-64 and 18-34 years were vulnerable to SO2 and PM10 exposure-triggered HCD risk, respectively. This study supports the hypothesis of the association between short-term exposure to ambient SO and PM and the number of hospital admissions due to HCD.