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中国东部地区环境空气污染与癫痫住院之间的关联。

Association between ambient air pollution and hospital admission for epilepsy in Eastern China.

作者信息

Bao Xiaoyuan, Tian Xin, Yang Chao, Li Yan, Hu Yonghua

机构信息

Medical Informatics Center, Peking University Health Science Center, 38 Xueyuan Road, Beijing 100191, China.

Department of Health Policy and Administration, Peking University Health Science Center, 38 Xueyuan Road, Beijing 100191, China.

出版信息

Epilepsy Res. 2019 May;152:52-58. doi: 10.1016/j.eplepsyres.2019.02.012. Epub 2019 Feb 25.

Abstract

BACKGROUND

We aimed to study the short-term association between air pollutants and hospitalization for epilepsy in 47 hospitals from 10 cities in eastern China.

METHOD

We identified hospital epilepsy admissions in 2014 and 2015. A conditional Poisson regression model was used to examine the association between air pollutants and hospital admission, with temperature and relative humidity adjusted using the natural spline (ns) function. Pollutants included sulfur dioxide (SO), nitrogen dioxide (NO), carbon monoxide (CO), and particulate matter (PM). The association was stratified by sex, age, and geographic region in single-pollutant and two-pollutant models.

RESULTS

An interquartile (IQR) increase of NO and CO on the concurrent day is correlated with an increased admission of 2.0% (0.5%, 3.6%) and 1.1% (0.1%, 2.1%), respectively. The association is stronger in children (≤18 years) and in northern China, but did not vary with sex. A positive association was also observed on the previous day for CO [1.5%, 95% confidence interval (CI): 0.3%, 2.6%], NO (2.5%, 95% CI: 0.6%, 4.3%), and PM (1.32%, 95% CI: 0.16%, 2.48%). Moving average concentration of 7 days for all pollutants was associated with decreased admission (CO: -1.29%, NO: -0.4.69%, SO:-2.12%, PM:-0.98%, PM:-1.70%).

CONCLUSION

Exposures to NO and CO on concurrent days, and PM on the previous day, are associated with increased epilepsy hospitalization, whereas cumulative exposure appeared protective.

摘要

背景

我们旨在研究中国东部10个城市47家医院的空气污染物与癫痫住院之间的短期关联。

方法

我们确定了2014年和2015年医院癫痫住院病例。采用条件泊松回归模型检验空气污染物与住院之间的关联,并使用自然样条(ns)函数对温度和相对湿度进行调整。污染物包括二氧化硫(SO)、二氧化氮(NO)、一氧化碳(CO)和颗粒物(PM)。在单污染物和双污染物模型中,按性别、年龄和地理区域对关联进行分层。

结果

同日二氧化氮和一氧化碳四分位数间距(IQR)增加分别与住院率增加2.0%(0.5%,3.6%)和1.1%(0.1%,2.1%)相关。这种关联在儿童(≤18岁)和中国北方更强,但不随性别变化。前一天一氧化碳[1.5%,95%置信区间(CI):0.3%,2.6%]、二氧化氮(2.5%,95%CI:0.6%,4.3%)和颗粒物(1.32%,95%CI:0.16%,2.48%)也观察到正相关。所有污染物7天移动平均浓度与住院率降低相关(一氧化碳:-1.29%,二氧化氮:-0.469%,二氧化硫:-2.12%,颗粒物:-0.98%,颗粒物:-1.70%)。

结论

同日接触二氧化氮和一氧化碳以及前一天接触颗粒物与癫痫住院率增加相关,而累积接触似乎具有保护作用。

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