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寒冷天气对死亡率的影响及寒冷天气特征的影响修饰作用。

The impact of cold spells on mortality and effect modification by cold spell characteristics.

机构信息

The National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.

Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, Guangdong, China.

出版信息

Sci Rep. 2016 Dec 6;6:38380. doi: 10.1038/srep38380.

Abstract

In China, the health impact of cold weather has received little attention, which limits our understanding of the health impacts of climate change. We collected daily mortality and meteorological data in 66 communities across China from 2006 to 2011. Within each community, we estimated the effect of cold spell exposure on mortality using a Distributed Lag Nonlinear Model (DLNM). We also examined the modification effect of cold spell characteristics (intensity, duration, and timing) and individual-specific factors (causes of death, age, gender and education). Meta-analysis method was finally used to estimate the overall effects. The overall cumulative excess risk (CER) of non-accidental mortality during cold spell days was 28.2% (95% CI: 21.4%, 35.3%) compared with non-cold spell days. There was a significant increase in mortality when the cold spell duration and intensity increased or occurred earlier in the season. Cold spell effects and effect modification by cold spell characteristics were more pronounced in south China. The elderly, people with low education level and those with respiratory diseases were generally more vulnerable to cold spells. Cold spells statistically significantly increase mortality risk in China, with greater effects in southern China. This effect is modified by cold spell characteristics and individual-level factors.

摘要

在中国,寒冷天气对健康的影响尚未得到足够重视,这限制了我们对气候变化健康影响的理解。我们收集了 2006 年至 2011 年期间中国 66 个社区的每日死亡率和气象数据。在每个社区内,我们使用分布式滞后非线性模型(DLNM)来估计寒冷天气暴露对死亡率的影响。我们还研究了寒冷天气特征(强度、持续时间和时间)和个体特定因素(死因、年龄、性别和教育)的修饰作用。最后采用荟萃分析方法来估计总体影响。与非寒冷天气日相比,寒冷天气日的非意外死亡率总体累积超额风险(CER)为 28.2%(95%CI:21.4%,35.3%)。随着寒冷天气持续时间和强度的增加或季节早期发生,死亡率显著增加。寒冷天气的影响以及寒冷天气特征的修饰作用在华南地区更为明显。老年人、受教育程度较低的人群和患有呼吸系统疾病的人群通常更容易受到寒冷天气的影响。寒冷天气会显著增加中国的死亡率风险,在华南地区的影响更大。这种影响受寒冷天气特征和个体因素的影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ca1/5138587/0c4901a98a93/srep38380-f1.jpg

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