Abstract
Background and objectives: Air pollution has been widely considered as an important factor in causing heart disease, respiratory disease, and death. This study sought to determine the relationship between short-term exposure to air pollutants and hospital admissions, cardiovascular and respiratory deaths and total mortality rate in Shahrekord, Iran.Procedure: This is a time series and ecological research. We collected data on hospital admissions and cardiovascular mortality and total mortality from 2012 to 2018. The study used the quasi-Poisson regression combined with linear distributed lag models, adjusted for trend, seasonality, temperature, relative humidity, weekdays and holidays.Results: Our results show a direct and significant statistical relationship between: O3 exposure in lag4 for total mortality, PM10 exposure in lag1 for total mortality and in lag4 and lag1 for respiratory death, PM2.5 exposure for total cardiovascular admissions in lag5, respiratory mortality in lag4, total respiratory admissions in lag3, NO2 exposure to respiratory mortality in lag1, and cardiovascular mortality in lag0, increased risk of death and pathogenesis.The results show a statistically significant inverse relationship between: NO and total admissions in lag3 and for respiratory mortality in lag1 between PM2.5 and cardiovascular mortality in lag1, NO with respiratory mortality in lag1 and cardiovascular admissions in lag3, NO2 with cardiovascular admissions in lag1 and NOX with respiratory death in lag0, which reduces the risk of death and pathogenesis.Conclusion: Air pollution has a significant relationship with the number of hospital admissions and mortality in Shahrekord, Iran.