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

被引:13
|
作者
Zhou, Yun [1 ]
Pan, Jingju [2 ]
Xu, Ruijun [3 ]
Lu, Wenfeng [1 ]
Wang, Yaqi [3 ]
Liu, Tingting [3 ]
Fan, Zhaoyu [3 ]
Li, Yingxin [3 ]
Shi, Chunxiang [4 ]
Zhang, Lan [2 ]
Liu, Yuewei [3 ]
Sun, Hong [5 ]
机构
[1] Guangzhou Med Univ, Affiliated Hosp 1, Sch Publ Hlth, State Key Lab Resp Dis, Guangzhou, Peoples R China
[2] Hubei Prov Ctr Dis Control & Prevent, Inst Chron Noncommunicable Dis Control & Prevent, Wuhan, Peoples R China
[3] Sun Yat Sen Univ, Sch Publ Hlth, Dept Epidemiol, 74 Zhongshan Second Rd, Guangzhou 510080, Guangdong, Peoples R China
[4] Natl Meteorol Informat Ctr, Beijing, Peoples R China
[5] Jiangsu Prov Ctr Dis Control & Prevent, 172 Jiangsu Rd, Nanjing 210009, Jiangsu, Peoples R China
关键词
Asthma mortality; Ambient temperatures; Exposure-response relationship; Non-optimum ambient temperature; Case-crossover study; COLD TEMPERATURE; HEAT; WEATHER; CITIES; DEATH; CELLS;
D O I
10.1016/j.envres.2022.114116
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Background: 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.Methods: 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.Results: 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 tempera -tures, 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.Conclusions: Exposure to non-optimum ambient temperature, especially moderate cold temperature, was responsible for substantial excess mortality from asthma. These findings have important implications for plan-ning of public-health interventions to minimize the adverse respiratory damage from non-optimum ambient temperature.
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页数:7
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