Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou 510632, China.
Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430, China.
Sci Total Environ. 2023 Dec 15;904:166859. doi: 10.1016/j.scitotenv.2023.166859. Epub 2023 Sep 9.
Most previous studies have focused on the health effect of temperature or humidity, and few studies have explored the combined health effects of exposure to temperature and humidity. This study aims to estimate the relationship between humidity-cold events and mortality, and then to compare the mortality burden between exposure to dry-cold events and wet-cold events, and finally to explore whether there was an additive interaction of temperature and humidity on mortality.
In the study, Daily mortality data during 2006-2017 were collected from Centers for Disease Control and Prevention in China, and daily mean temperature and daily mean relative humidity data from 698 weather stations in China were obtained from the China Meteorological Data Sharing Service system. We first employed time-series design with a distributed lag nonlinear model and a multivariate meta-analysis model to examine the association between humidity-cold events with mortality.
We found that humidity-cold events significantly increased mortality risk, and the effect of wet-cold events (RR:1.24, 95%CI:1.20,1.29) was higher than that of dry-cold events (RR:1.14, 95%CI:1.10,1.18). Dry-cold events and wet-cold events accounted for 2.41 % and 2.99 % excess deaths, respectively with higher burden for the elderly ≥85 years old, Central China and CVD. In addition, there is a synergistic additive interaction between low temperature and high humidity in winter.
This study showed that humidity-cold events significantly increased mortality risk, and the effect of wet-cold events was higher than that of dry-cold events.
大多数先前的研究都集中在温度或湿度对健康的影响上,很少有研究探讨暴露于温度和湿度对健康的综合影响。本研究旨在估计湿度-寒冷事件与死亡率之间的关系,然后比较暴露于干燥-寒冷事件和潮湿-寒冷事件的死亡率负担,最后探讨温度和湿度对死亡率是否存在相加交互作用。
本研究从中国疾病预防控制中心收集了 2006-2017 年期间的每日死亡率数据,并从中国气象数据共享服务系统获取了中国 698 个气象站的每日平均温度和每日平均相对湿度数据。我们首先采用时间序列设计,利用分布式滞后非线性模型和多变量荟萃分析模型来检验湿度-寒冷事件与死亡率之间的关系。
我们发现湿度-寒冷事件显著增加了死亡率风险,潮湿-寒冷事件(RR:1.24,95%CI:1.20,1.29)的影响高于干燥-寒冷事件(RR:1.14,95%CI:1.10,1.18)。干燥-寒冷事件和潮湿-寒冷事件分别导致 2.41%和 2.99%的超额死亡,其中 85 岁及以上的老年人、中国中部地区和心血管疾病的负担更高。此外,冬季低温和高湿度之间存在协同的相加交互作用。
本研究表明,湿度-寒冷事件显著增加了死亡率风险,潮湿-寒冷事件的影响高于干燥-寒冷事件。