Asthma mortality attributable to ambient temperatures: A case-crossover study in China

哮喘 医学 可归因风险 人口学 逻辑回归 中国 分布滞后 环境卫生 人口 内科学 地理 统计 数学 社会学 考古
作者
Yun Zhou,Jingju Pan,Ruijun Xu,Wenfeng Lu,Yaqi Wang,Tingting Liu,Zhaoyu Fan,Yingxin Li,Chunxiang Shi,Lan Zhang,Yuewei Liu,Hong Sun
出处
期刊:Environmental Research [Elsevier BV]
卷期号:214 (Pt 4): 114116-114116 被引量:21
标识
DOI:10.1016/j.envres.2022.114116
摘要

Whether ambient temperature exposure contributes to death from asthma remains unknown to date. We therefore conducted a case-crossover study in China to quantitatively evaluate the association and burden of ambient temperature exposure on asthma mortality.Using data from the National Mortality Surveillance System in China, we conducted a time-stratified case-crossover study of 15 888 individuals who lived in Hubei and Jiangsu province, China and died from asthma as the underlying cause in 2015-2019. Individual-level exposures to air temperature and apparent temperature on the date of death and 21 days prior were assessed based on each subject's residential address. Distributed lag nonlinear models based on conditional logistic regression were used to quantify exposure-response associations and calculate fraction and number of deaths attributable to non-optimum ambient temperatures.We observed a reverse J-shaped association between air temperature and risk of asthma mortality, with a minimum mortality temperature of 21.3 °C. Non-optimum ambient temperature is responsible for substantial excess mortality from asthma. In total, 26.3% of asthma mortality were attributable to non-optimum temperatures, with moderate cold, moderate hot, extreme cold and extreme hot responsible for 21.7%, 2.4%, 2.1% and 0.9% of asthma mortality, respectively. The total attributable fraction and number was significantly higher among adults aged less than 80 years in hot temperature.Exposure to non-optimum ambient temperature, especially moderate cold temperature, was responsible for substantial excess mortality from asthma. These findings have important implications for planning of public-health interventions to minimize the adverse respiratory damage from non-optimum ambient temperature.
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