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[Association between airborne particulate matter(PM 2.5) concentration and the incidence of allergic rhinitis in Shanghai].
Sun, Na; Gong, Jingrong; Hao, Yanan; Sun, Zhenfeng; Huang, Yu; Yu, Yuejin; Huang, Wei; Tian, Lufang; Luo, Dan; Tang, Wei; Fan, Kai; Yu, Shaoqing; Zhang, Ruxin.
Affiliation
  • Sun N; Department of Otolaryngology,Huadong Hospital,Fudan University,Shanghai,200040,China.
  • Gong J; Department of Otolaryngology,Fifth People's Hospital Fudan University.
  • Hao Y; Department of Otolaryngology,Seventh People's Hospital,Traditional Chinese Medicine.
  • Sun Z; Department of Otolaryngology,First People's Hospital,Jiao Tong University.
  • Huang Y; Department of Otolaryngology,Huadong Hospital,Fudan University,Shanghai,200040,China.
  • Yu Y; Department of Otolaryngology,Seventh People's Hospital,Traditional Chinese Medicine.
  • Huang W; Department of Otolaryngology,Seventh People's Hospital,Traditional Chinese Medicine.
  • Tian L; Department of Otolaryngology,Fifth People's Hospital Fudan University.
  • Luo D; Department of Otolaryngology,First People's Hospital,Jiao Tong University.
  • Tang W; Department of Otolaryngology,Tongji Hospital,Tongji University.
  • Fan K; Department of Otolaryngology,Tongji Hospital,Tongji University.
  • Yu S; Department of Otolaryngology,Tongji Hospital,Tongji University.
  • Zhang R; Department of Otolaryngology,Huadong Hospital,Fudan University,Shanghai,200040,China.
Article in Zh | MEDLINE | ID: mdl-37253516
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.
Subject(s)
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Air Pollutants / Air Pollution / Rhinitis, Allergic Type of study: Etiology_studies / Incidence_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Country/Region as subject: Asia Language: Zh Journal: Lin Chuang Er Bi Yan Hou Tou Jing Wai Ke Za Zhi Year: 2023 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Air Pollutants / Air Pollution / Rhinitis, Allergic Type of study: Etiology_studies / Incidence_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Country/Region as subject: Asia Language: Zh Journal: Lin Chuang Er Bi Yan Hou Tou Jing Wai Ke Za Zhi Year: 2023 Document type: Article
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