In the current study, we evaluated the effect of extreme low temperature on respiratory diseases in Lanzhou from January 1, 2013 to July 31, 2017 using a distributed lag non-linear model (DLNM) based on the daily data of meteorology and hospital visitsfor respiratory diseases.Age (≤ 15years, 16-45years, 46 -60years, ≥ 60years) and gender (male and female) modification were also performed. Results indicatedthe greatestlag effect of average daily minimum temperature (Tmin) on relative risks (RRs)for respiratory diseases. The maximum RR value ranged from 0.89 to 1.41 and the response-effect curvewas V-shaped. At lag of 0~4d, the cold effect represented by extreme low temperature was the most significant. Atlag of 5~19d, a new peak appeared near Tmin at 0℃, and the cold effect started to decrease, while the heat effect disappeared completely. At lag of 20~30d, the minimum RR value appeared when Tmin was -10℃ and the peak value was near the temperature point of 0℃. Lag effect completely disappearedat 22d. Under extreme low temperatures, respiratory diseases showed long-term hysteresis and higherrisksforthe younger ages, while short-term hysteresis and lowerriskforthe older ages. As to the gender, males showed a longer lag effect than females.
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