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Hourly association between ambient PM2.5 and emergency ambulance dispatches in 11 cities in Japan.
Environmental Research ( IF 8.3 ) Pub Date : 2020-03-30 , DOI: 10.1016/j.envres.2020.109448
Vera Ling Hui Phung 1 , Kayo Ueda 2 , Xerxes Seposo 2 , Akinori Takami 3 , Seiji Sugata 3 , Ayako Yoshino 3 , Takehiro Michikawa 4 , Shin Yamazaki 3 , Akiko Honda 2 , Hirohisa Takano 2
Affiliation  

Numerous epidemiological studies have demonstrated that short-term exposure to ambient PM2.5 increases mortality and morbidity. Investigating the association using hourly ambient PM2.5 exposure may provide important insights, as current evidence is limited mostly to daily lag term. This study aimed to investigate the hourly association between ambient PM2.5 concentrations and all-cause emergency ambulance dispatches (EAD) in 11 cities in Japan. We used a time-stratified case-crossover design and examined the hourly lags of ambient PM2.5 up to 24 h (unconditional distributed lags and moving average lags) using a conditional Poisson regression model. A significant increase in all-cause EAD was observed at lag 0 h [relative risk (RR): 1.0037 (95% CI: 1.0000, 1.0074)] and all moving average lags. The highest RR was observed within the first 6 h (at lag 0-5 h) [RR: 1.0091 (95% CI: 1.0068, 1.0114)], with a slight ascending pattern. This was followed by a descending pattern at lags 0-11, 0-17, and 0-23 h, but significant positive RR was observed even at lag 0-23 h, when the lowest RR was observed [RR: 1.0072 (95% CI: 1.0044, 1.0100)]. Though similar pattern was observed among the elderly, a different pattern was observed among the children (gradually ascending pattern). We conclude that all-cause EAD could be triggered by ambient PM2.5 exposure with very short lags.

中文翻译:

日本11个城市的环境PM2.5与紧急救护车调度之间的每小时关联。

大量的流行病学研究表明,短期暴露于环境PM2.5会增加死亡率和发病率。使用当前的每小时PM2.5暴露量调查关联可能会提供重要的见解,因为当前证据主要限于每日滞后期。这项研究旨在调查日本11个城市的环境PM2.5浓度与全因紧急救护车调度(EAD)之间的每小时关联。我们使用时间分层的案例交叉设计,并使用条件Poisson回归模型检查了长达24小时的环境PM2.5的每小时时滞(无条件分布时滞和移动平均时滞)。滞后0小时观察到全因EAD显着增加[相对风险(RR):1.0037(95%CI:1.0000,1.0074)]和所有移动平均滞后。在最初的6小时内(滞后0-5小时)观察到最高的RR [RR:1.0091(95%CI:1.0068,1.0114)],并有轻微的上升模式。随后是在滞后0-11、0-17和0-23小时的下降模式,但是即使在滞后0-23小时也观察到了显着的正RR,当观察到最低RR时[RR:1.0072(95% CI:1.0044,1.0100)]。尽管在老年人中观察到相似的模式,但是在儿童中观察到了不同的模式(逐渐上升的模式)。我们得出的结论是,全因EAD可能是由环境PM2.5暴露触发的,且延迟非常短。0100)]。尽管在老年人中观察到相似的模式,但是在儿童中观察到了不同的模式(逐渐上升的模式)。我们得出的结论是,全因EAD可能是由环境PM2.5暴露触发的,且延迟非常短。0100)]。尽管在老年人中观察到相似的模式,但是在儿童中观察到了不同的模式(逐渐上升的模式)。我们得出的结论是,全因EAD可能是由环境PM2.5暴露触发的,且延迟非常短。
更新日期:2020-03-31
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