Effects of airborne pollen on allergic rhinitis and asthma across different age groups in Beijing, China
In the context of global warming and rapid urbanization, pollen has become a significant public health concern for Chinese citizens. However, there is a paucity of epidemiological research on the impact of pollen on allergen-linked diseases, such as allergic rhinitis and asthma, in China. Using data...
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Published in | The Science of the total environment Vol. 912; p. 169215 |
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Main Authors | , , , , , , , , , , |
Format | Journal Article |
Language | English |
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Elsevier B.V
20.02.2024
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Abstract | In the context of global warming and rapid urbanization, pollen has become a significant public health concern for Chinese citizens. However, there is a paucity of epidemiological research on the impact of pollen on allergen-linked diseases, such as allergic rhinitis and asthma, in China. Using data from the Beijing Chaoyang Hospital between 2013 and 2019, which included allergic rhinitis and asthma incidence, meteorological records, and air pollution data, we employed a Generalized Additive Model (GAM) to examine the relationship between overall and type-specific pollen concentrations in relation to varying population exposures. We found that increased overall pollen concentrations significantly increased the risks of allergic rhinitis and asthma in diverse populations. Notably, the risk of allergic rhinitis was higher than that of asthma at equivalent pollen concentrations. Seasonal trends indicated that spring pollen peaks, primarily from trees, were associated with a lower risk of both allergic rhinitis and asthma than autumn peaks, predominantly from weeds. This study underscores the importance of identifying pollen species that pose heightened risks to different demographic groups across seasons, thereby providing targeted interventions for public health agencies.
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•Pollen concentrations have increased under global warming and are a health threat.•A generalized additive model linked pollen concentrations and rhinitis and asthma.•The source of pollen and seasonality impact pollen-linked epidemiological outcomes.•An increase in pollen concentrations increased the risk of rhinitis and asthma.•Spring pollen peaks led to a lower risk of asthma and rhinitis than autumn peaks. |
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AbstractList | In the context of global warming and rapid urbanization, pollen has become a significant public health concern for Chinese citizens. However, there is a paucity of epidemiological research on the impact of pollen on allergen-linked diseases, such as allergic rhinitis and asthma, in China. Using data from the Beijing Chaoyang Hospital between 2013 and 2019, which included allergic rhinitis and asthma incidence, meteorological records, and air pollution data, we employed a Generalized Additive Model (GAM) to examine the relationship between overall and type-specific pollen concentrations in relation to varying population exposures. We found that increased overall pollen concentrations significantly increased the risks of allergic rhinitis and asthma in diverse populations. Notably, the risk of allergic rhinitis was higher than that of asthma at equivalent pollen concentrations. Seasonal trends indicated that spring pollen peaks, primarily from trees, were associated with a lower risk of both allergic rhinitis and asthma than autumn peaks, predominantly from weeds. This study underscores the importance of identifying pollen species that pose heightened risks to different demographic groups across seasons, thereby providing targeted interventions for public health agencies. In the context of global warming and rapid urbanization, pollen has become a significant public health concern for Chinese citizens. However, there is a paucity of epidemiological research on the impact of pollen on allergen-linked diseases, such as allergic rhinitis and asthma, in China. Using data from the Beijing Chaoyang Hospital between 2013 and 2019, which included allergic rhinitis and asthma incidence, meteorological records, and air pollution data, we employed a Generalized Additive Model (GAM) to examine the relationship between overall and type-specific pollen concentrations in relation to varying population exposures. We found that increased overall pollen concentrations significantly increased the risks of allergic rhinitis and asthma in diverse populations. Notably, the risk of allergic rhinitis was higher than that of asthma at equivalent pollen concentrations. Seasonal trends indicated that spring pollen peaks, primarily from trees, were associated with a lower risk of both allergic rhinitis and asthma than autumn peaks, predominantly from weeds. This study underscores the importance of identifying pollen species that pose heightened risks to different demographic groups across seasons, thereby providing targeted interventions for public health agencies. [Display omitted] •Pollen concentrations have increased under global warming and are a health threat.•A generalized additive model linked pollen concentrations and rhinitis and asthma.•The source of pollen and seasonality impact pollen-linked epidemiological outcomes.•An increase in pollen concentrations increased the risk of rhinitis and asthma.•Spring pollen peaks led to a lower risk of asthma and rhinitis than autumn peaks. In the context of global warming and rapid urbanization, pollen has become a significant public health concern for Chinese citizens. However, there is a paucity of epidemiological research on the impact of pollen on allergen-linked diseases, such as allergic rhinitis and asthma, in China. Using data from the Beijing Chaoyang Hospital between 2013 and 2019, which included allergic rhinitis and asthma incidence, meteorological records, and air pollution data, we employed a Generalized Additive Model (GAM) to examine the relationship between overall and type-specific pollen concentrations in relation to varying population exposures. We found that increased overall pollen concentrations significantly increased the risks of allergic rhinitis and asthma in diverse populations. Notably, the risk of allergic rhinitis was higher than that of asthma at equivalent pollen concentrations. Seasonal trends indicated that spring pollen peaks, primarily from trees, were associated with a lower risk of both allergic rhinitis and asthma than autumn peaks, predominantly from weeds. This study underscores the importance of identifying pollen species that pose heightened risks to different demographic groups across seasons, thereby providing targeted interventions for public health agencies.In the context of global warming and rapid urbanization, pollen has become a significant public health concern for Chinese citizens. However, there is a paucity of epidemiological research on the impact of pollen on allergen-linked diseases, such as allergic rhinitis and asthma, in China. Using data from the Beijing Chaoyang Hospital between 2013 and 2019, which included allergic rhinitis and asthma incidence, meteorological records, and air pollution data, we employed a Generalized Additive Model (GAM) to examine the relationship between overall and type-specific pollen concentrations in relation to varying population exposures. We found that increased overall pollen concentrations significantly increased the risks of allergic rhinitis and asthma in diverse populations. Notably, the risk of allergic rhinitis was higher than that of asthma at equivalent pollen concentrations. Seasonal trends indicated that spring pollen peaks, primarily from trees, were associated with a lower risk of both allergic rhinitis and asthma than autumn peaks, predominantly from weeds. This study underscores the importance of identifying pollen species that pose heightened risks to different demographic groups across seasons, thereby providing targeted interventions for public health agencies. |
ArticleNumber | 169215 |
Author | Xingqin, An Wenxi, Ruan Zhaobin, Sun Yuxin, Zhao Ziming, Li Shihong, Li Jingyi, Xin Na, Gao Yaqin, Bu Shuwen, Zhang Yinglin, Liang |
Author_xml | – sequence: 1 givenname: Sun surname: Zhaobin fullname: Zhaobin, Sun email: szb850804@163.com organization: State Key Laboratory of Severe Weather of CMA, Chinese Academy of Meteorological Sciences, Beijing 100081, China – sequence: 2 givenname: Zhao surname: Yuxin fullname: Yuxin, Zhao organization: State Key Laboratory of Severe Weather of CMA, Chinese Academy of Meteorological Sciences, Beijing 100081, China – sequence: 3 givenname: An surname: Xingqin fullname: Xingqin, An organization: State Key Laboratory of Severe Weather of CMA, Chinese Academy of Meteorological Sciences, Beijing 100081, China – sequence: 4 givenname: Gao surname: Na fullname: Na, Gao organization: Department of Respiratoryand Critical Care Medicine, Yulin No. 2 Hospital, Yulin 719000, China – sequence: 5 givenname: Li surname: Ziming fullname: Ziming, Li organization: Beijing Weather Forecast Center, Beijing 100089, China – sequence: 6 givenname: Zhang surname: Shuwen fullname: Shuwen, Zhang organization: College of Traditional Chinese Medicine and College of Integrated Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing 210023, China – sequence: 7 givenname: Liang surname: Yinglin fullname: Yinglin, Liang organization: State Key Laboratory of Severe Weather of CMA, Chinese Academy of Meteorological Sciences, Beijing 100081, China – sequence: 8 givenname: Ruan surname: Wenxi fullname: Wenxi, Ruan organization: State Key Laboratory of Severe Weather of CMA, Chinese Academy of Meteorological Sciences, Beijing 100081, China – sequence: 9 givenname: Bu surname: Yaqin fullname: Yaqin, Bu organization: State Key Laboratory of Severe Weather of CMA, Chinese Academy of Meteorological Sciences, Beijing 100081, China – sequence: 10 givenname: Xin surname: Jingyi fullname: Jingyi, Xin organization: State Key Laboratory of Severe Weather of CMA, Chinese Academy of Meteorological Sciences, Beijing 100081, China – sequence: 11 givenname: Li surname: Shihong fullname: Shihong, Li email: lshltz1@163.com organization: Department of Respiratory and Critical Care Medicine, Beijing Institute of Respiratory Medicine and Beijing Chao-Yang Hospital, Capital Medical University, Beijing, 100020, China |
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Keywords | Population exposure Generalized additive model Pollen concentrations Exposure-response relationship |
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SubjectTerms | air pollution allergic rhinitis asthma autumn China environment Exposure-response relationship Generalized additive model hospitals pollen Pollen concentrations Population exposure public health risk species spring urbanization |
Title | Effects of airborne pollen on allergic rhinitis and asthma across different age groups in Beijing, China |
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