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高温与空气污染对死亡率的交互影响:中国合肥的时间序列分析。

The interactive effects between high temperature and air pollution on mortality: A time-series analysis in Hefei, China.

机构信息

School of Medicine, The University of Auckland, Auckland, New Zealand.

Hefei Center for Disease Control and Prevention, Hefei, China.

出版信息

Sci Total Environ. 2017 Jan 1;575:1530-1537. doi: 10.1016/j.scitotenv.2016.10.033. Epub 2016 Oct 28.

Abstract

Recent evidence suggests that there may be an interaction between air pollution and heat on mortality, which is pertinent in the context of global climate change. We sought to examine this interaction in Hefei, a hot and polluted Chinese city. We conducted time-series analyses using daily mortality, air pollutant concentration (including particulate matter with aerodynamic diameter <10μm (PM), sulphur dioxide (SO) and nitrogen dioxide (NO)), and temperature data from 2008 to 2014. We applied quasi-Poisson regression models with natural cubic splines and examined the interactive effects using temperature-stratified models. Subgroup analyses were conducted by age, gender, and educational levels. We observed consistently stronger associations between air pollutants and mortality at high temperatures than at medium temperatures. These differences were statistically significant for the associations between PM and non-accidental mortality and between all pollutants studied and respiratory mortality. Mean percentage increases in non-accidental mortality per 10μg/m at high temperatures were 2.40% (95% confidence interval: 0.64 to 4.20) for PM, 7.77% (0.60 to 15.00) for SO, and 6.83% (-1.37 to 15.08) for NO. The estimates for PM were 3.40% (0.96 to 5.90) in females and 4.21% (1.44 to 7.05) in the illiterate, marking them as more vulnerable. No clear trend was identified by age. We observed an interaction between air pollutants and high temperature on mortality in Hefei, which was stronger in females and the illiterate. This may be due to differences in behaviours affecting personal exposure to high temperatures and has potential policy implications.

摘要

最近的证据表明,空气污染和高温对死亡率可能存在相互作用,这在全球气候变化的背景下尤为重要。我们试图在中国的一个高温、污染严重的城市合肥,检验这种相互作用。我们利用 2008 年至 2014 年的每日死亡率、空气污染物浓度(包括空气动力学直径<10μm 的颗粒物(PM)、二氧化硫(SO)和二氧化氮(NO))和温度数据进行时间序列分析。我们采用自然三次样条的拟泊松回归模型,并通过温度分层模型检验交互作用。根据年龄、性别和教育水平进行亚组分析。我们发现,在高温下,空气污染物与死亡率之间的关联比中温下更强。在 PM 与非意外死亡率之间的关联以及所有研究污染物与呼吸死亡率之间的关联中,这种差异具有统计学意义。高温下,PM 每增加 10μg/m 时非意外死亡率的平均百分比增加为 2.40%(95%置信区间:0.64 至 4.20),SO 为 7.77%(0.60 至 15.00),NO 为 6.83%(-1.37 至 15.08)。PM 在女性中为 3.40%(0.96 至 5.90),在文盲中为 4.21%(1.44 至 7.05),表明他们更脆弱。年龄方面没有明显趋势。我们观察到在合肥,空气污染和高温对死亡率存在相互作用,在女性和文盲中作用更强。这可能是由于行为差异导致个人对高温的暴露不同,这具有潜在的政策意义。

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