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Impact of Meteorological Parameters and Air Pollutants on Weed Pollen-Induced Allergic Rhinitis Symptoms in Dalian, China

花粉 医学 中国 空气污染 污染物 哮喘 空气污染物 杂草 环境科学 环境卫生 环境保护 过敏原 环境工程 中国 疾病负担 空气温度 过敏 免疫学
作者
Lu Qi,Qi Hang Zhang,Pei Xin,Shan Deng
出处
期刊:International Archives of Allergy and Immunology [Karger Publishers]
卷期号:: 1-13
标识
DOI:10.1159/000548918
摘要

Introduction: In recent years, coastal cities like Dalian have experienced a notable rise in pollen-induced allergic rhinitis (PiAR). This trend highlights the urgent need to investigate how climatic changes and air pollution exacerbate this growing public health challenge. This study examines the combined effects of meteorological variables, air pollutants, and airborne pollen on weed PiAR symptoms in Dalian, a coastal city located in the warm temperate zone of China. Methods: Daily pollen concentrations were monitored from August to October 2023, concurrently with meteorological data and air quality indices. Clinical data, including symptoms and fractional exhaled nitric oxide (FENO) levels, were collected from 61 PiAR patients to evaluate the impact of environmental factors on allergy severity and airway inflammation. Results: Among meteorological variables, temperature exhibited a positive influence on the concentrations of total pollen, specifically that of Artemisia, Humulus, and Chenopodium pollen, while air pressure showed an inverse relationship. Regarding air pollutants, O<sub>3</sub> concentration was positively associated with Artemisia pollen levels, whereas CO and NO<sub>2</sub> were negatively associated. Statistical analysis demonstrated a strong positive correlation between daily weed pollen concentrations and the Combined Symptom and Medication Score (CSMS) (r = 0.81, p < 0.0001), as well as between weekly average pollen concentrations and the Rhinoconjunctivitis Quality of Life Questionnaire (RQLQ) score (r = 0.95, p < 0.0001). Pollen exposure showed a significant immediate effect on CSMS at lag 0 (EE = 0.205, 95% CI: 0.076–0.334), while air pressure exhibited significant lagged and cumulative effects during lag days 0–5 (EE = 0.815, 95% CI: 0.337–1.293). Notably, the interaction between temperature and air pressure was also statistically significant (p < 0.001). Additionally, FENO levels in PiAR patients significantly rose during the peak weed pollen season (p < 0.001), indicating elevated airway inflammation. Conclusion: This study highlights the complex interplay between meteorological factors, air pollutants, and pollen in exacerbating allergic symptoms. The findings underscore the need for integrated environmental and clinical management strategies to mitigate the burden of PiAR in urban settings.
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