We investigated the associations between the daily variations of coarse particulate matter (PM10) and/or sulfur dioxide (SO2) and hospital admissions for asthma and/or chronic obstructive pulmonary disease (COPD) diseases in Kirsehir, Center of Anatolia of Turkey. We analyzed the poison generalized linear model (GLM) to analyze the association between ambient air pollutants such as PM10 and SO2 and asthma and/or COPD admissions. We investigated single-lag days and multi-lag days for the risk increase in asthma, COPD, asthma, and/or COPD hospital admissions PM10, SO2, and PM10 with SO2 per 10 μg/m3. In single-lag day model a 10 μg/m3 increase in the current day (lag 0) concentrations of PM10 and SO2 corresponded to increase of 1.027 (95% CI:1.022-1.033) and 1.069 (95% CI:1.062, 1.077) for asthma. A 10 μg/m3 increase in the current day (lag 0) concentrations of PM10 and SO2 corresponded to increase of 1.029 (95% CI:1.022-1.035) and 1.065 (95% CI:1.056, 1.075) for COPD. A 10 μg/m3 increase in the current day (lag 0) concentrations of PM10 and SO2 corresponded to increase of 1.028 (95% CI:1.024-1.032) and 1.068 (95% CI:1.062, 1.074) for asthma and/or COPD. It was found that some lag structures were related with PM10 and SO2. Significant lags were detected in some lag structures from the previous first day until the previous eighth day (lag 1 to lag 7) in the asthma, COPD, and asthma and/or COPD hospital admissions in the model created with PM10 with SO2 both in the single-lag day model and in the multi-lag day model. Our study that used GLM in time series analysis showed that PM10 and/or SO2 short-term exposure in single-lag day and multi-lag day models was related with increased asthma, COPD, and asthma and/or COPD hospital admissions in the city between 2016 and 2019 until the previous-eighth day.
Keywords: Air pollutants; Asthma; Chronic obstructive pulmonary disease; Particulate matter, Sulfur oxides, Hospital admission.