Association of multiple environmental exposures with rhinitis and asthma symptoms in preschool children: Identifying critical risk factor

Background: The concept “one airway, one disease” for childhood rhinitis and asthma has been challenged in recent years. This study aimed to evaluate associations of environmental exposures with alone and co-morbid symptoms of rhinitis and asthma and identify critical risk factor. Methods: 5828 chil...

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Main Authors: Shuang Du, Hao Tang, Han Chen, Yang Shen, Zhiping Niu, Tianyi Chen, Jing Wei, Xia Meng, Wen Su, Qun Wu, Yongqiang Tan, Jing Cai, Zhuohui Zhao
Format: Article
Language:English
Published: Elsevier 2025-01-01
Series:Ecotoxicology and Environmental Safety
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Online Access:http://www.sciencedirect.com/science/article/pii/S0147651324015665
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author Shuang Du
Hao Tang
Han Chen
Yang Shen
Zhiping Niu
Tianyi Chen
Jing Wei
Xia Meng
Wen Su
Qun Wu
Yongqiang Tan
Jing Cai
Zhuohui Zhao
author_facet Shuang Du
Hao Tang
Han Chen
Yang Shen
Zhiping Niu
Tianyi Chen
Jing Wei
Xia Meng
Wen Su
Qun Wu
Yongqiang Tan
Jing Cai
Zhuohui Zhao
author_sort Shuang Du
collection DOAJ
description Background: The concept “one airway, one disease” for childhood rhinitis and asthma has been challenged in recent years. This study aimed to evaluate associations of environmental exposures with alone and co-morbid symptoms of rhinitis and asthma and identify critical risk factor. Methods: 5828 children aged 3–6 years in Shanghai were surveyed in 2019. Rhinitis and wheezing symptoms in the past 12 months were collected using questionnaire. 11 outdoor environment exposure factors were assessed by high-resolution spatial-temporal model based on residences. Logistic regression and random forest were applied to evaluate and rank the association of environmental exposure with rhinitis and wheezing symptoms. Results: The proportions of children with rhinitis alone, wheezing & rhinitis, and wheezing alone were 37.2 %, 4.6 %, and 2.6 %, respectively. Regression modeling of two exposure factors adjusted for each other showed that PM1, PM2.5 and nighttime light(NTL) remained the robust significant associations with rhinitis alone, whereas NO2 had the robust significant association with wheezing & rhinitis and wheezing alone. Random forest ranking analysis further corroborated the most significant environmental exposure for rhinitis alone was PM1, and for wheezing symptoms (both wheezing & rhinitis and wheezing alone) was NO2. Significant additive and multiplicative interactions were examined between indoor dampness and PM1 exposure on rhinitis alone. Conclusion: Children’s current rhinitis alone was more susceptible to ambient PM1 and PM2.5, while asthmatic wheezing symptom, either with or without rhinitis, was more susceptible to NO2. Co-exposure to indoor dampness and PM1 exposure had synergistic effects on rhinitis alone.
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spelling doaj-art-b664b68e66cc4dc2a74a6cf62d8536a22025-01-23T05:25:45ZengElsevierEcotoxicology and Environmental Safety0147-65132025-01-01289117490Association of multiple environmental exposures with rhinitis and asthma symptoms in preschool children: Identifying critical risk factorShuang Du0Hao Tang1Han Chen2Yang Shen3Zhiping Niu4Tianyi Chen5Jing Wei6Xia Meng7Wen Su8Qun Wu9Yongqiang Tan10Jing Cai11Zhuohui Zhao12Department of Environmental Health, School of Public Health, NHC Key Laboratory of Health Technology Assessment, Key Laboratory of Public Health Safety of the Ministry of Education, Fudan University, Shanghai 200032, ChinaDepartment of Environmental Health, School of Public Health, NHC Key Laboratory of Health Technology Assessment, Key Laboratory of Public Health Safety of the Ministry of Education, Fudan University, Shanghai 200032, ChinaDepartment of Environmental Health, School of Public Health, NHC Key Laboratory of Health Technology Assessment, Key Laboratory of Public Health Safety of the Ministry of Education, Fudan University, Shanghai 200032, ChinaDepartment of Environmental Health, School of Public Health, NHC Key Laboratory of Health Technology Assessment, Key Laboratory of Public Health Safety of the Ministry of Education, Fudan University, Shanghai 200032, ChinaDepartment of Environmental Health, School of Public Health, NHC Key Laboratory of Health Technology Assessment, Key Laboratory of Public Health Safety of the Ministry of Education, Fudan University, Shanghai 200032, ChinaDepartment of Environmental Health, School of Public Health, NHC Key Laboratory of Health Technology Assessment, Key Laboratory of Public Health Safety of the Ministry of Education, Fudan University, Shanghai 200032, ChinaDepartment of Atmospheric and Oceanic Science, Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD, USADepartment of Environmental Health, School of Public Health, NHC Key Laboratory of Health Technology Assessment, Key Laboratory of Public Health Safety of the Ministry of Education, Fudan University, Shanghai 200032, ChinaDepartment of Pediatrics, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, ChinaDepartment of Pediatrics, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, ChinaDepartment of Pediatrics, Chongming Hospital Affiliated to Shanghai University of Medicine & Health Sciences, Shanghai, ChinaDepartment of Environmental Health, School of Public Health, NHC Key Laboratory of Health Technology Assessment, Key Laboratory of Public Health Safety of the Ministry of Education, Fudan University, Shanghai 200032, China; Corresponding author.Department of Environmental Health, School of Public Health, NHC Key Laboratory of Health Technology Assessment, Key Laboratory of Public Health Safety of the Ministry of Education, Fudan University, Shanghai 200032, China; Typhoon Institute/CMA, Shanghai Key Laboratory of Meteorology and Health, IRDR International Center of Excellence on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health WMO/IGAC MAP-AQ Asian Office Shanghai, Fudan University, Shanghai, China; Corresponding author at: Department of Environmental Health, School of Public Health, NHC Key Laboratory of Health Technology Assessment, Key Laboratory of Public Health Safety of the Ministry of Education, Fudan University, Shanghai 200032, China.Background: The concept “one airway, one disease” for childhood rhinitis and asthma has been challenged in recent years. This study aimed to evaluate associations of environmental exposures with alone and co-morbid symptoms of rhinitis and asthma and identify critical risk factor. Methods: 5828 children aged 3–6 years in Shanghai were surveyed in 2019. Rhinitis and wheezing symptoms in the past 12 months were collected using questionnaire. 11 outdoor environment exposure factors were assessed by high-resolution spatial-temporal model based on residences. Logistic regression and random forest were applied to evaluate and rank the association of environmental exposure with rhinitis and wheezing symptoms. Results: The proportions of children with rhinitis alone, wheezing & rhinitis, and wheezing alone were 37.2 %, 4.6 %, and 2.6 %, respectively. Regression modeling of two exposure factors adjusted for each other showed that PM1, PM2.5 and nighttime light(NTL) remained the robust significant associations with rhinitis alone, whereas NO2 had the robust significant association with wheezing & rhinitis and wheezing alone. Random forest ranking analysis further corroborated the most significant environmental exposure for rhinitis alone was PM1, and for wheezing symptoms (both wheezing & rhinitis and wheezing alone) was NO2. Significant additive and multiplicative interactions were examined between indoor dampness and PM1 exposure on rhinitis alone. Conclusion: Children’s current rhinitis alone was more susceptible to ambient PM1 and PM2.5, while asthmatic wheezing symptom, either with or without rhinitis, was more susceptible to NO2. Co-exposure to indoor dampness and PM1 exposure had synergistic effects on rhinitis alone.http://www.sciencedirect.com/science/article/pii/S0147651324015665Environment exposureRhinitisWheezingRandom forestInteraction effectIndoor dampness
spellingShingle Shuang Du
Hao Tang
Han Chen
Yang Shen
Zhiping Niu
Tianyi Chen
Jing Wei
Xia Meng
Wen Su
Qun Wu
Yongqiang Tan
Jing Cai
Zhuohui Zhao
Association of multiple environmental exposures with rhinitis and asthma symptoms in preschool children: Identifying critical risk factor
Ecotoxicology and Environmental Safety
Environment exposure
Rhinitis
Wheezing
Random forest
Interaction effect
Indoor dampness
title Association of multiple environmental exposures with rhinitis and asthma symptoms in preschool children: Identifying critical risk factor
title_full Association of multiple environmental exposures with rhinitis and asthma symptoms in preschool children: Identifying critical risk factor
title_fullStr Association of multiple environmental exposures with rhinitis and asthma symptoms in preschool children: Identifying critical risk factor
title_full_unstemmed Association of multiple environmental exposures with rhinitis and asthma symptoms in preschool children: Identifying critical risk factor
title_short Association of multiple environmental exposures with rhinitis and asthma symptoms in preschool children: Identifying critical risk factor
title_sort association of multiple environmental exposures with rhinitis and asthma symptoms in preschool children identifying critical risk factor
topic Environment exposure
Rhinitis
Wheezing
Random forest
Interaction effect
Indoor dampness
url http://www.sciencedirect.com/science/article/pii/S0147651324015665
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