Abstract：Objective To explore the relationship between different temperature indicators and hospital admission for childhood pneumonia.Methods The hospital admissions for pneumonia in children aged 0-14 years and meteorological data in Ningbo from 2015 to 2017 were collected. A distributed lag non-linear model combined with a generalized linear model was employed to analyze the exposure-response relationships between different temperature indicators（daily average,minimum and maximum temperature;the first percentile as low temperature and the 99th percentile as high temperature）and hospital admission for childhood pneumonia.Results A total of 4 542 cases of childhood pneumonia were recruited. There were obvious seasonal fluctuations found in the inpatient volume of childhood pneumonia,which peaked in winter and bottomed in summer. After adjusting for potential confounding variables such as relative humidity,PM2.5,long term trend and seasonal trend,the results suggested that after exposed to whether low or high temperature,the inpatient volume of childhood pneumonia would increase. When the daily average temperature and daily minimum temperature were employed,the effect of high temperature on the increase of inpatient volume for childhood pneumonia was statistically significant and the cumulative relative risk for a lag of 0-7 days were 1.52（95%CI：1.04-2.23）and 1.59（95%CI：1.08-2.34）,respectively. When the daily maximum temperature was employed,the effect of low temperature on the increase of inpatient volume for childhood pneumonia was statistically significant and the cumulative relative risk for a lag of 0-7 days were 1.30（95%CI：1.02-1.66）.Conclusion Our findings suggested that an increased risk of hospital admission for childhood pneumonia was associated with both low and high temperature.
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