Tang Wei, Sun Lixia, Wang Jie, Li Kaijie, Liu Shuhan, Wang Mingwei, Cheng Yongran, Dai Lili
Department of Otolaryngology, Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang, People's Republic of China.
Department of Otolaryngology, Hangzhou Xixi Hospital, Hangzhou, Zhejiang, People's Republic of China.
Risk Manag Healthc Policy. 2023 Aug 7;16:1455-1465. doi: 10.2147/RMHP.S416365. eCollection 2023.
Many studies have reported that exposure to air pollution increases the likelihood of acquiring allergic rhinitis (AR). This study investigated associations between short-term air pollution exposure and AR outpatient visits.
The Department of Otorhinolaryngology, Affiliated Hospital of Hangzhou Normal University provided AR outpatient data from January 1, 2019 to December 31, 2021. Daily air quality information for that period was gathered from the Hangzhou Air Quality Inspection Station. We used the Poisson's generalized additive model (GAM) to investigate relationships between daily outpatient AR visits and air pollution, and investigated lag-exposure relationships across days. Subgroup analyses were performed by age (adult (>18 years) and non-adult (<18 years)) and sex (male and female).
We recorded 20,653 instances of AR during the study period. Each 10 g/m increase in fine particulate matter (PM10 and PM2.5) and carbon monoxide (CO) concentrations was associated with significant increases in AR outpatient Visits. The relative risks (RR) were: 1.007 (95% confidence interval (CI): 1.001-1.013), 1.026 (95% CI: 1.008-1.413), and 1.019 (95% CI: 1.008-1.047). AR visits were more likely due to elevated PM2.5, PM10, and CO levels. Additionally, children were more affected than adults.
To better understand the possible effects of air pollution on AR, short-term exposure to ambient air pollution (PM2.5, PM10, and CO) may be linked to increased daily outpatient AR visits.
许多研究报告称，暴露于空气污染中会增加患过敏性鼻炎（AR）的可能性。本研究调查了短期空气污染暴露与AR门诊就诊之间的关联。
杭州师范大学附属医院耳鼻咽喉科提供了2019年1月1日至2021年12月31日的AR门诊数据。该期间的每日空气质量信息来自杭州空气质量检测站。我们使用泊松广义相加模型（GAM）来研究每日AR门诊就诊与空气污染之间的关系，并研究跨天的滞后暴露关系。按年龄（成人（>18岁）和非成人（<18岁））和性别（男性和女性）进行亚组分析。
在研究期间，我们记录了20653例AR病例。细颗粒物（PM10和PM2.5）和一氧化碳（CO）浓度每增加10μg/m，AR门诊就诊量就会显著增加。相对风险（RR）分别为：1.007（95%置信区间（CI）：1.001-1.013）、1.026（95%CI：1.008-1.413）和1.019（95%CI：1.008-1.047）。由于PM2.5、PM10和CO水平升高，AR就诊的可能性更大。此外，儿童比成人受影响更大。
为了更好地了解空气污染对AR的可能影响，短期暴露于环境空气污染（PM2.5、PM10和CO）可能与每日AR门诊就诊量增加有关。
