Literature DB >> 31513736

Associations among air pollutants, grass pollens, and daily number of grass pollen allergen-positive patients: a longitudinal study from 2012 to 2016.

Yuhui Ouyang1,2, Zhaoyin Yin3, Ying Li2, Erzhong Fan2, Luo Zhang1,2.   

Abstract

BACKGROUND: Grass pollen is the most prevalent sensitizing aeroallergen to cause respiratory allergies in northern China. Air pollutants have a substantial effect on respiratory health and some pollens. This study aimed to investigate relationships among airborne grass pollen, air pollutants and allergic diseases, in order to determine their effects on patients with grass pollen allergies in Beijing, China, during the period from 2013 to 2016.
METHODS: Data regarding autumnal grass pollens and air pollutants measured in Beijing from 2012 to 2016 were obtained from local governmental agencies. Patient data regarding specific immunoglobulin E (IgE) analyses from 2013 to 2016 were obtained from the Department of Allergy in Beijing Tongren Hospital. Spearman's rank correlation analysis was used to assess associations between the daily number of grass pollen allergen-positive patients and the following parameters: 3 clinically-relevant grass pollen genera (Artemisia, Humulus, and Chenopodium) and inhalable pollutants.
RESULTS: Correlation analysis indicated that the daily number of grass pollen-positive patients was significantly associated with the peak period of grass pollens, as well as pollutants SO2 and NOx. Moreover, concentrations of air pollutants (eg, ozone, oxides of nitrogen [NOx ], and SO2 ) were consistently and significantly associated with concentrations of grass pollens; particulate matter 2.5 µm in diameter was negatively associated with Artemisia and Chenopodium pollens.
CONCLUSION: Grass pollens exhibited substantial impact on allergic disease morbidity. Air pollutants impacted allergic disease and grass pollen. Thus, public health and clinical approaches to anticipate and reduce allergic disease morbidity from pollen and pollutants are needed.
© 2019 ARS-AAOA, LLC.

Entities:  

Keywords:  Artemisia; Chenopodium; China; Humulus; Poaceae; immunoglobulin E; ozone; particulate matter; respiratory hypersensitivity; sulfur dioxide

Mesh:

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Year:  2019        PMID: 31513736     DOI: 10.1002/alr.22389

Source DB:  PubMed          Journal:  Int Forum Allergy Rhinol        ISSN: 2042-6976            Impact factor:   3.858


  4 in total

1.  Prediction of airborne pollen concentrations by artificial neural network and their relationship with meteorological parameters and air pollutants.

Authors:  Gholamreza Goudarzi; Yaser Tahmasebi Birgani; Mohammad-Ali Assarehzadegan; Abdolkazem Neisi; Maryam Dastoorpoor; Armin Sorooshian; Mohsen Yazdani
Journal:  J Environ Health Sci Eng       Date:  2022-01-15

2.  Using the Internet Big Data to Investigate the Epidemiological Characteristics of Allergic Rhinitis and Allergic Conjunctivitis.

Authors:  Huijun Qiu; Rui Zheng; Xinyue Wang; Zhuanggui Chen; Peiying Feng; Xuekun Huang; Yuqi Zhou; Jin Tao; Min Dai; Lianxiong Yuan; Xiangdong Wang; Luo Zhang; Qintai Yang
Journal:  Risk Manag Healthc Policy       Date:  2021-05-06

3.  Correlation of Pollen Concentration and Meteorological Factors with Medical Condition of Allergic Rhinitis in Shenyang Area.

Authors:  Feifei Jiang; Aihui Yan
Journal:  Comput Math Methods Med       Date:  2022-09-27       Impact factor: 2.809

4.  Serum IgE Predicts Difference of Population and Allergens in Allergic Diseases: Data from Weifang City, China.

Authors:  Zhang Xu-De; Guo Bei-Bei; Wang Xi-Juan; Li Hai-Bo; Zhang Li-Li; Liu Feng-Xia
Journal:  Mediators Inflamm       Date:  2021-06-25       Impact factor: 4.711

  4 in total

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