Na Sun, Jingrong Gong, Yanan Hao, Zhenfeng Sun, Yu Huang, Yuejin Yu, Wei Huang, Lufang Tian, Dan Luo, Wei Tang, Kai Fan, Shaoqing Yu, Ruxin Zhang
{"title":"[Association between airborne particulate matter(PM 2.5) concentration and the incidence of allergic rhinitis in Shanghai].","authors":"Na Sun, Jingrong Gong, Yanan Hao, Zhenfeng Sun, Yu Huang, Yuejin Yu, Wei Huang, Lufang Tian, Dan Luo, Wei Tang, Kai Fan, Shaoqing Yu, Ruxin Zhang","doi":"10.13201/j.issn.2096-7993.2023.06.006","DOIUrl":null,"url":null,"abstract":"<p><p><b>Objective:</b>To explore the impact of PM 2.5 concentration in Shanghai on the incidence of allergic rhinitis(AR) in the population, and provide strategies for early warning and prevention of AR. <b>Methods:</b>Collect daily average concentrations of atmospheric pollutants monitored in Shanghai from January 1, 2017 to December 31, 2019, and clinical data of AR patients from five hospitals in Shanghai during the same period. We used a time-series analysis additive Poisson regression model to analyze the correlation between PM 2.5 levels and outpatient attendance for AR patients. <b>Results:</b>During the study period, a total of 56 500 AR patients were included, and the daily average concentration of PM 2.5 was(35.28±23.07)μg/m³. There is a correlation between the concentration of PM 2.5 and the number of outpatient attendance for AR cases. There is a positive correlation between the daily average number of outpatient for AR and levels of PM 2.5 air pollution((<i>P</i><0.05)) . We found that every 10 μg/m³ increase in PM 2.5, the impact of on the number of AR visits was statistically significant on the same day, the first day behind, and the second day behind, with the strongest impact being the exposure on the same day. Every 10 μg/m³ increases in PM 2.5, the number of outpatient visits increased by 0.526% on the same day(95%<i>CI</i> 1.000 50-1.010 04). <b>Conclusion:</b>The atmospheric PM 2.5 concentration in Shanghai is positively correlated with the number of outpatient for AR, and PM 2.5 exposure is an independent factor in the onset of AR. This provides an important theoretical basis for AR.</p>","PeriodicalId":18104,"journal":{"name":"Lin chuang er bi yan hou tou jing wai ke za zhi = Journal of clinical otorhinolaryngology, head, and neck surgery","volume":"37 6","pages":"434-441"},"PeriodicalIF":0.0000,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10495790/pdf/lcebyhtjwkzz-37-6-434.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Lin chuang er bi yan hou tou jing wai ke za zhi = Journal of clinical otorhinolaryngology, head, and neck surgery","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.13201/j.issn.2096-7993.2023.06.006","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 0
Abstract
Objective:To explore the impact of PM 2.5 concentration in Shanghai on the incidence of allergic rhinitis(AR) in the population, and provide strategies for early warning and prevention of AR. Methods:Collect daily average concentrations of atmospheric pollutants monitored in Shanghai from January 1, 2017 to December 31, 2019, and clinical data of AR patients from five hospitals in Shanghai during the same period. We used a time-series analysis additive Poisson regression model to analyze the correlation between PM 2.5 levels and outpatient attendance for AR patients. Results:During the study period, a total of 56 500 AR patients were included, and the daily average concentration of PM 2.5 was(35.28±23.07)μg/m³. There is a correlation between the concentration of PM 2.5 and the number of outpatient attendance for AR cases. There is a positive correlation between the daily average number of outpatient for AR and levels of PM 2.5 air pollution((P<0.05)) . We found that every 10 μg/m³ increase in PM 2.5, the impact of on the number of AR visits was statistically significant on the same day, the first day behind, and the second day behind, with the strongest impact being the exposure on the same day. Every 10 μg/m³ increases in PM 2.5, the number of outpatient visits increased by 0.526% on the same day(95%CI 1.000 50-1.010 04). Conclusion:The atmospheric PM 2.5 concentration in Shanghai is positively correlated with the number of outpatient for AR, and PM 2.5 exposure is an independent factor in the onset of AR. This provides an important theoretical basis for AR.