Résumé
Objective To explore the effect of air pollution on children’s respiratory diseases in Tianjin, so as to provide reference for the prevention and control of diseases. Methods Conditional Logistic regression model of single pollutant and multiple pollutants was used to estimate the relationships between air pollutants concentration and children’s respiratory system diseases. Results Conditional Logistic regression model of single pollutant conditions showed that the excess risk (ER) effects and 95% CI of NO2, PM2.5, PM10 and CO appeared were 2.823%(2.581-3.065), 0.476%(0.382-0.569), 0.437%(0.368-0.506), 22.263%(15.449-29.478), respectively. Logistic regression analysis of multiple pollutants conditions showed that NO2 exposure had the greatest effect on children’s respiratory diseases in cold season, and the excess risk (ER) was 7.395%(6.595-8.202). Conclusion The elevated daily average concentration of NO2, PM10, PM2.5, and CO can increase the risk of children’s respiratory diseases.