Effect of temperature changes between neighboring days on mortality risk of respiratory diseases
LI Shufen1, NI Zhisong1, CHENG Chuanlong1, ZUO Hui1, LIANG Kemeng1, SONG Sihao1, XI Rui1, YANG Shuxia2, CUI Feng2, LI Xiujun1
1. Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong 250012, China; 2. Zibo Center for Disease Control and Prevention, Zibo, Shandong 255026, China
Abstract：Objective To investigate the impact of temperature changes between neighboring days (TCN) on the mortality risk of respiratory diseases, so as to provide the evidence for the study of deaths from respiratory diseases caused by climate change. Methods The monitoring data of deaths from respiratory diseases in Zibo City from 2015 to 2019 were collected from Shandong Provincial Management Information System for Chronic Diseases and Cause of Death Surveillance. The meteorological and air pollutant data of the same period were collected from China Meteorological Data Website and ChinaHighAirPollutants dataset. The effect of TCN on the risk of deaths from respiratory diseases was examined using a generalized additive model combined with a distributed lag non-linear model, and subgroup analyses for gender and age were conducted. The disease burden attributed to TCN at different intervals was assessed by calculating attributable fraction. Results Totally 11 767 deaths from respiratory diseases were reported in Zibo City from 2015 to 2019, including 6 648 males (56.50%) and 5 119 females (43.50%). There were 1 307 deaths aged <65 years (11.11%), and 10 460 deaths aged 65 years and older (88.89%). A monotonically increasing exposure-response relationship was observed between TCN and deaths from respiratory diseases in the general population, females, and the population aged 65 years and older. The 95th percentile of TCN (P95, 3.84 ℃) reached the peak at a cumulative lagged of day 11 (RR=2.063, 95%CI: 1.261-3.376). The results of subgroup analyses showed greater impacts on females and the population aged 65 years and older, with cumulative lagged effects peaking at day 12 (RR=3.119, 95%CI: 1.476-6.589) and day 11 (RR=2.107, 95%CI: 1.260-3.523). The results of attributional risk analysis showed that next-day warming might increase the attributable risk of deaths from respiratory diseases, and next-day cooling might decrease the attributable risk. Conclusion Next-day warming may increase the mortality risk of respiratory diseases, and has greater impacts on females and the population aged 65 years and older.
李树芬, 倪志松, 程传龙, 左慧, 梁珂梦, 宋思豪, 席睿, 杨淑霞, 崔峰, 李秀君. 隔日温差对呼吸系统疾病死亡风险的影响[J]. 预防医学, 2024, 36(10): 842-846,850.
LI Shufen, NI Zhisong, CHENG Chuanlong, ZUO Hui, LIANG Kemeng, SONG Sihao, XI Rui, YANG Shuxia, CUI Feng, LI Xiujun. Effect of temperature changes between neighboring days on mortality risk of respiratory diseases. Preventive Medicine, 2024, 36(10): 842-846,850.
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