Air Pollution and Allergic Rhinitis: Findings from a Prospective Cohort Study

IF 10.8 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL
Peiyang Luo, Jiacheng Ying, Jiayu Li, Zongming Yang, Xiaohui Sun, Ding Ye, Cuiqing Liu, Jianbing Wang* and Yingying Mao*, 
{"title":"Air Pollution and Allergic Rhinitis: Findings from a Prospective Cohort Study","authors":"Peiyang Luo,&nbsp;Jiacheng Ying,&nbsp;Jiayu Li,&nbsp;Zongming Yang,&nbsp;Xiaohui Sun,&nbsp;Ding Ye,&nbsp;Cuiqing Liu,&nbsp;Jianbing Wang* and Yingying Mao*,&nbsp;","doi":"10.1021/acs.est.3c04527","DOIUrl":null,"url":null,"abstract":"<p >To investigate the association of long-term exposure to ambient air pollution with the risk of allergic rhinitis (AR), we performed a longitudinal analysis of 379,488 participants (47.4% women) free of AR at baseline in the UK Biobank. The annual average concentrations of PM<sub>2.5</sub>, PM<sub>coarse</sub>, PM<sub>10</sub>, NO<sub>2</sub>, and NO<sub><i>x</i></sub> were estimated by land use regression models. Cox proportional hazard models were used to calculate hazard ratios (HRs) and 95% confidence intervals (CIs). A weighted polygenic risk score was constructed. During a median follow-up period of 12.5 years, 3095 AR cases were identified. We observed significant associations between the risk of AR and PM<sub>2.5</sub> (HR: 1.51, 95% CI: 1.27–1.79, per 5 μg/m<sup>3</sup>), PM<sub>coarse</sub> (HR: 1.28, 95% CI: 1.06–1.55, per 5 μg/m<sup>3</sup>), PM<sub>10</sub> (HR: 1.45, 95% CI: 1.20–1.74, per 10 μg/m<sup>3</sup>), NO<sub>2</sub> (HR: 1.14, 95% CI: 1.09–1.19, per 10 μg/m<sup>3</sup>), and NO<sub><i>x</i></sub> (HR: 1.10, 95% CI: 1.05–1.15, per 20 μg/m<sup>3</sup>). Moreover, participants with high air pollution combined with high genetic risk showed the highest risk of AR, although no multiplicative or additive interaction was observed. In conclusion, long-term exposure to air pollutants was associated with an elevated risk of AR, particularly in high-genetic-risk populations, emphasizing the urgent need to improve air quality.</p>","PeriodicalId":36,"journal":{"name":"环境科学与技术","volume":"57 42","pages":"15835–15845"},"PeriodicalIF":10.8000,"publicationDate":"2023-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"环境科学与技术","FirstCategoryId":"1","ListUrlMain":"https://pubs.acs.org/doi/10.1021/acs.est.3c04527","RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ENVIRONMENTAL","Score":null,"Total":0}
引用次数: 0

Abstract

To investigate the association of long-term exposure to ambient air pollution with the risk of allergic rhinitis (AR), we performed a longitudinal analysis of 379,488 participants (47.4% women) free of AR at baseline in the UK Biobank. The annual average concentrations of PM2.5, PMcoarse, PM10, NO2, and NOx were estimated by land use regression models. Cox proportional hazard models were used to calculate hazard ratios (HRs) and 95% confidence intervals (CIs). A weighted polygenic risk score was constructed. During a median follow-up period of 12.5 years, 3095 AR cases were identified. We observed significant associations between the risk of AR and PM2.5 (HR: 1.51, 95% CI: 1.27–1.79, per 5 μg/m3), PMcoarse (HR: 1.28, 95% CI: 1.06–1.55, per 5 μg/m3), PM10 (HR: 1.45, 95% CI: 1.20–1.74, per 10 μg/m3), NO2 (HR: 1.14, 95% CI: 1.09–1.19, per 10 μg/m3), and NOx (HR: 1.10, 95% CI: 1.05–1.15, per 20 μg/m3). Moreover, participants with high air pollution combined with high genetic risk showed the highest risk of AR, although no multiplicative or additive interaction was observed. In conclusion, long-term exposure to air pollutants was associated with an elevated risk of AR, particularly in high-genetic-risk populations, emphasizing the urgent need to improve air quality.

Abstract Image

空气污染与过敏性鼻炎:前瞻性队列研究结果。
为了研究长期暴露于环境空气污染与过敏性鼻炎(AR)风险的关系,我们在英国生物库对379488名基线无AR的参与者(47.4%的女性)进行了纵向分析。通过土地利用回归模型估算PM2.5、PMcoarse、PM10、NO2和NOx的年平均浓度。Cox比例风险模型用于计算风险比(HR)和95%置信区间(CI)。构建了加权多基因风险评分。在12.5年的中位随访期内,发现3095例AR病例。我们观察到AR风险与PM2.5(HR:1.51,95%CI:1.27-1.79,每5μg/m3)、粗颗粒物(HR:1.28,95%CI:1.06-1.55,每5µg/m3)、PM10(HR:1.45,95%CI:1.20-1.74,每10μg/m3),NO2(HR:1.14,95%CI:1.09-1.19,每10µg/m3)和NOx(HR:1.10,95%CI:1.05-1.15,每20μg/m3)之间存在显著相关性。此外,高空气污染和高遗传风险的参与者表现出最高的AR风险,尽管没有观察到乘法或加法相互作用。总之,长期暴露于空气污染物与AR风险升高有关,特别是在高遗传风险人群中,这强调了改善空气质量的迫切需要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
环境科学与技术
环境科学与技术 环境科学-工程:环境
CiteScore
17.50
自引率
9.60%
发文量
12359
审稿时长
2.8 months
期刊介绍: Environmental Science & Technology (ES&T) is a co-sponsored academic and technical magazine by the Hubei Provincial Environmental Protection Bureau and the Hubei Provincial Academy of Environmental Sciences. Environmental Science & Technology (ES&T) holds the status of Chinese core journals, scientific papers source journals of China, Chinese Science Citation Database source journals, and Chinese Academic Journal Comprehensive Evaluation Database source journals. This publication focuses on the academic field of environmental protection, featuring articles related to environmental protection and technical advancements.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信