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
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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":"{\"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}","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
摘要
目的:探讨上海地区PM2.5浓度对人群过敏性鼻炎(AR)发病率的影响,为过敏性鼻炎的预警和预防提供策略。的影响,为过敏性鼻炎的预警和预防提供策略。方法:收集2017年1月1日至2019年12月31日上海市监测到的大气污染物日均浓度,以及同期上海市5家医院AR患者的临床资料。采用时间序列分析加性泊松回归模型,分析PM2.5水平与AR患者门诊量的相关性。结果:在研究期间,共纳入了56500名AR患者,PM 2.5的日平均浓度为(35.28±23.07)μg/m³。PM 2.5 的浓度与 AR 病例的门诊次数存在相关性。AR日均门诊量与PM 2.5空气污染水平(PCI 1.000 50-1.010 04)呈正相关。结论:上海大气中PM2.5浓度与AR门诊量呈正相关,PM2.5暴露是AR发病的独立因素。这为AR的研究提供了重要的理论依据。
[Association between airborne particulate matter(PM 2.5) concentration and the incidence of allergic rhinitis in Shanghai].
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.