Abstract:To explore the effects of daily mean temperature on bronchitis outpatient visit in Lanzhou, we collected the data on bronchitis outpatient visit, meteorology and atmospheric pollutants during 2013-2019 from three general hospitals in Lanzhou. In this paper, we construct a distribution lag non-linear model to analyze the relationship between the temperature and the daily risk of bronchitis outpatient visit. The stratified analysis is performed according to the division of ages and gender groups. The effect of daily mean temperature on bronchitis outpatient visit is non-linear and lagging. The hazard effects of low temperature (-5.0℃), and high temperature (25.4℃) are the largest on that very day, and then get weakened gradually with the lag days. The hazard effect of low temperature lasts for 13 days (lag 1-13 d), and the hazard effect of high temperature lasts 19 days. The cold effect has a greater harmful effect and duration than the heat effect. When the temperature is set to -5.0℃ and 25.4℃, the maximal cumulative lag effect appears on lag 0-14 d, and lag 0-21 d, respectively, the RR values are 2.832 (95%CI: 2.411-3.326) and 1.070 (95%CI: 1.054-1.086). The risk of bronchial outpatient visit caused by low temperature, and high temperature is greater for men than for women, with a maximum cumulative relative risk of 3.089 (95%CI: 2.601-3.669) and 1.085 (95%CI: 1.067-1.104). The risk of outpatient visits for children aged 0-14 is significantly higher than that of other age groups at low temperature, and the peak RR appears on lag 0-14 d, with the value of 3.191 (95%CI: 2.654-3.837). When the temperature is at 25.4℃, the maximum value occurs on lag 0-21 d, and the RR value is 1.089 (95%CI: 1.070-1.109). Both high temperature and low temperature imdrove the bronchitis outpatient visit risk. The harmful effect and duration of low temperature are greater than that of high temperature, and children aged 0-14 are more sensitive to low temperature.