Short-term exposure to extreme temperature and outpatient visits for respiratory diseases among children in the northern city of China: A time-series study

Author:

Wu Ya1,Liu Xiaobo2,Gao Lijie1,Sun Xiaohong2,Hong Qianqi2,Wang Qian1,Kang Zhen2,Yang Chao2,Zhu Sui1

Affiliation:

1. Jinan University

2. Harbin Center for Disease Control and Prevention

Abstract

Abstract Background Although studies have indicated that extreme temperature is strongly associated with respiratory diseases, there is a dearth of studies focused on children, especially in China. We aimed to explore the association between extreme temperature and children’s outpatient visits for respiratory diseases and seasonal modification effects in Harbin, China. Methods A distributed lag nonlinear model (DLNM) was used to explore the effect of extreme temperature on the daily outpatient visits for respiratory diseases among children and lag effects as well as seasonal modification effects. Results Extremely low temperatures were defined as the 1st percentile and 2.5th percentile of temperature. Extremely high temperatures were defined as the 97.5th percentile and 99th percentile of temperature. At extremely high temperatures, both 26°C (97.5th ) and 27°C (99th ) showed adverse effects at lag 0–6 days, with relative risks (RRs) of 1.34 [95% confidence interval (CI): 1.21–1.48] and 1.38 (95% CI: 1.24–1.53), respectively. However, at extremely low temperatures, both − 26°C (1st ) and − 23°C (2.5th ) showed protective effects on children’s outpatient visits for respiratory diseases at lag 0–10 days, with RRs of 0.86 (95% CI: 0.76–0.97) and 0.85 (95% CI: 0.75–0.95), respectively. We also found seasonal modification effects, with the association being stronger in the warm season than in the cold season at extremely high temperatures. Conclusions Our study indicated that extremely hot temperatures increase the risk of children’s outpatient visits for respiratory diseases. Efforts to reduce the exposure of children to extremely high temperatures may have the potential to mitigate the burden of pediatric respiratory diseases, especially in the warm season.

Publisher

Research Square Platform LLC

Reference56 articles.

1. The 2019 report of The Lancet Countdown on health and climate change: ensuring that the health of a child born today is not defined by a changing climate;Watts N;Lancet,2019

2. 2018 fourth warmest year in continued warming trend, according to NASA;Zhongming Z;NOAA,2019

3. Extreme temperatures and time use in china;Garg T;JEBO,2020

4. Understanding human influence on climate change in China;Sun Y;Natl Sci Rev,2021

5. Song L. Blue book on climate change in China 2021. 2021. http://www.cma.gov.cn/en2014/news/News/202108/t20210812_582844.html; Accessed 5 September 2021.

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