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中国北京地区大气污染与气象因素对特应性皮炎门诊人次影响的交互作用:一项时间序列分析。

The interactive effects between air pollution and meteorological factors on the hospital outpatient visits for atopic dermatitis in Beijing, China: a time-series analysis.

机构信息

Department of Occupational and Environmental Health, School of Public Health, Peking University, Beijing, China.

Chinese Research Academy of Environmental Sciences, Beijing, China.

出版信息

J Eur Acad Dermatol Venereol. 2019 Dec;33(12):2362-2370. doi: 10.1111/jdv.15820. Epub 2019 Sep 2.

DOI:10.1111/jdv.15820
PMID:31325384
Abstract

BACKGROUND

The prevalence of atopic dermatitis (AD) dramatically increased over these years and environmental factors were considered as potential contributors towards these trends.

OBJECTIVE

This study aimed to explore several major environmental exposures, including air pollution, temperature and relative humidity, in order to identify potential modifiable risk factors and their interactive effects on AD.

METHODS

We applied a bivariate response surface model and stratification model based on time-series Poisson generalized additive models to examine the interactive effects of air pollution and meteorological factors on AD.

RESULTS

A total of 64 987 outpatient visits for AD were recorded from 1 January 2013 to 31 December 2017. Interactive effects were found between air pollutants and meteorological factors. Enhanced positive associations between pollutants and outpatient visits for AD were found at the highest quartile temperature level. A 10 μg/m increase in PM , PM , NO and SO were associated with 0.42% (95% CI: 0.16-0.67%), 0.34% (95% CI: 0.15-0.54%), 1.11% (95% CI: 0.38-1.84%) and 1.06% (0.21-1.93%) increase in outpatient visits for AD at the highest quartile temperature level.

CONCLUSION

That effects of air pollutants on AD can be modified by meteorological factors, with enhanced effects on hot days.

摘要

背景

近年来,特应性皮炎(AD)的患病率显著增加,环境因素被认为是导致这些趋势的潜在因素。

目的

本研究旨在探讨包括空气污染、温度和相对湿度在内的几种主要环境暴露因素,以确定潜在的可改变的危险因素及其对 AD 的交互作用。

方法

我们应用双变量响应曲面模型和基于时间序列泊松广义相加模型的分层模型,以研究空气污染和气象因素对 AD 的交互作用。

结果

2013 年 1 月 1 日至 2017 年 12 月 31 日期间,共记录了 64987 例 AD 门诊就诊。发现污染物和气象因素之间存在交互作用。在温度最高四分位数水平,污染物与 AD 门诊就诊之间的正相关关系增强。PM 、PM 、NO 和 SO 每增加 10μg/m ,与 AD 门诊就诊的增幅分别为 0.42%(95%CI:0.16-0.67%)、0.34%(95%CI:0.15-0.54%)、1.11%(95%CI:0.38-1.84%)和 1.06%(0.21-1.93%),在温度最高四分位数水平。

结论

空气污染物对 AD 的影响可以通过气象因素来修饰,在高温天气下影响更为明显。

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