甘肃省三个城市与交通有关的空气污染与过敏性鼻炎门诊量之间的关系。

IF 4.3 3区 环境科学与生态学 Q1 CHEMISTRY, ANALYTICAL
Hongran Ma, Furong Qu, Jiyuan Dong and Jiancheng Wang
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引用次数: 0

摘要

新的证据表明,过敏性鼻炎(AR)的发病率越来越高,这可能与空气质量有关。本研究旨在评估交通相关空气污染物(TRAPs)与过敏性鼻炎门诊量之间的关系。从 2018 年 1 月至 2020 年 12 月,研究人员在定西、陇南和天水收集了 AR 的每日门诊数据、空气污染物浓度和气象数据。利用准泊松分布(Quasi-Poisson distribution),结合分布式滞后非线性模型(DLNM),采用广义加法模型(GAM)来探讨 TRAPs 对三个城市 AR 门诊量的关联和滞后效应。根据性别、年龄和季节进行了分层分析。三个城市共记录了 11 106 例 AR 门诊病例。PM2.5增加10微克/立方米时,定西、陇南和天水的效应估计值分别在滞后04、滞后06和滞后07达到最大,相对风险(RR)值分别为4.696(95% CI:1.890,11.614)、2.842(95% CI:2.102,4.922)和1.102(95% CI:1.066,1.140)。就二氧化氮而言,定西(RR = 1.262,95% CI:1.081,1.473)、陇南(RR = 2.554,95% CI:2.100,4.805)和天水(RR = 1.158,95% CI:1.106,1.213)的相关性最高,分别为滞后 07、滞后 06 和滞后 07。同时,观察到 CO 增加 1 mg m-3 的最强效应是:定西在滞后 07 期为 2.786(95% CI:1.467,5.291),陇南在滞后 05 期为 1.502(95% CI:1.096,2.059),天水在滞后 04 期为 1.385(95% CI:1.137,1.686)。15-64岁的成年人似乎更容易受到TRAPs的影响,而且这种关联在寒冷季节更强。本研究结果表明,暴露于TRAPs与AR门诊量呈正相关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Associations between traffic-related air pollution and allergic rhinitis outpatient visits in three cities of Gansu Province†

Associations between traffic-related air pollution and allergic rhinitis outpatient visits in three cities of Gansu Province†

Associations between traffic-related air pollution and allergic rhinitis outpatient visits in three cities of Gansu Province†

Emerging evidence indicates an increasing prevalence of allergic rhinitis (AR), potentially linked to air quality. The aim of the present study was to assess the relationship between traffic-related air pollutants (TRAPs) and outpatient visits for AR. Daily outpatient data for AR, air pollutant concentrations, and meteorological data were collected from January 2018 to December 2020 in Dingxi, Longnan, and Tianshui. Utilizing a Quasi-Poisson distribution, a generalized additive model (GAM) was employed in conjunction with distributed lag non-linear models (DLNM) to explore the association and lag effects of TRAPs on AR outpatient visits across the three cities. Stratified analyses based on gender, age, and season were conducted. A total of 11 106 outpatient visits for AR were recorded in the three cities. For an increase of 10 μg m−3 in PM2.5, the effect estimates in Dingxi, Longnan, and Tianshui reached their maximum at lag04, lag06, and lag07, respectively, with relative risk (RR) values of 4.696 (95% CI: 1.890, 11.614), 2.842 (95% CI: 2.102, 4.922), and 1.102 (95% CI: 1.066, 1.140). For NO2, the highest associations were exhibited in Dingxi (RR = 1.262, 95% CI: 1.081, 1.473) at lag07, in Longnan (RR = 2.554, 95% CI: 2.100, 4.805) at lag06, and in Tianshui (RR = 1.158, 95% CI: 1.106, 1.213) at lag07. Meanwhile, the strongest effects observed for a 1 mg m−3 increase in CO were 2.786 (95% CI: 1.467, 5.291) for Dingxi at lag07, 1.502 (95% CI: 1.096, 2.059) for Longnan at lag05, and 1.385 (95% CI: 1.137, 1.686) for Tianshui at lag04. Adults aged 15–64 years appeared to be more susceptible to TRAPs, and the associations were stronger in the cold season. The results of the present study indicate that exposure to TRAPs was positively correlated with outpatient visits for AR.

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来源期刊
Environmental Science: Processes & Impacts
Environmental Science: Processes & Impacts CHEMISTRY, ANALYTICAL-ENVIRONMENTAL SCIENCES
CiteScore
9.50
自引率
3.60%
发文量
202
审稿时长
1 months
期刊介绍: Environmental Science: Processes & Impacts publishes high quality papers in all areas of the environmental chemical sciences, including chemistry of the air, water, soil and sediment. We welcome studies on the environmental fate and effects of anthropogenic and naturally occurring contaminants, both chemical and microbiological, as well as related natural element cycling processes.
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