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The impact of monthly air pollution exposure and its interaction with individual factors: Insight from a large cohort study of comprehensive hospitalizations in Guangzhou area

BACKGROUND: Although the association between short-term air pollution exposure and certain hospitalizations has been well documented, evidence on the effect of longer-term (e. g., monthly) air pollution on a comprehensive set of outcomes is still limited. METHOD: A total of 68,416 people in South Ch...

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Autores principales: Ju, Xu, Yimaer, Wumitijiang, Du, Zhicheng, Wang, Xinran, Cai, Huanle, Chen, Shirui, Zhang, Yuqin, Wu, Gonghua, Wu, Wenjing, Lin, Xiao, Wang, Ying, Jiang, Jie, Hu, Weihua, Zhang, Wangjian, Hao, Yuantao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10071997/
https://www.ncbi.nlm.nih.gov/pubmed/37026147
http://dx.doi.org/10.3389/fpubh.2023.1137196
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author Ju, Xu
Yimaer, Wumitijiang
Du, Zhicheng
Wang, Xinran
Cai, Huanle
Chen, Shirui
Zhang, Yuqin
Wu, Gonghua
Wu, Wenjing
Lin, Xiao
Wang, Ying
Jiang, Jie
Hu, Weihua
Zhang, Wangjian
Hao, Yuantao
author_facet Ju, Xu
Yimaer, Wumitijiang
Du, Zhicheng
Wang, Xinran
Cai, Huanle
Chen, Shirui
Zhang, Yuqin
Wu, Gonghua
Wu, Wenjing
Lin, Xiao
Wang, Ying
Jiang, Jie
Hu, Weihua
Zhang, Wangjian
Hao, Yuantao
author_sort Ju, Xu
collection PubMed
description BACKGROUND: Although the association between short-term air pollution exposure and certain hospitalizations has been well documented, evidence on the effect of longer-term (e. g., monthly) air pollution on a comprehensive set of outcomes is still limited. METHOD: A total of 68,416 people in South China were enrolled and followed up during 2019–2020. Monthly air pollution level was estimated using a validated ordinary Kriging method and assigned to individuals. Time-dependent Cox models were developed to estimate the relationship between monthly PM(10) and O(3) exposures and the all-cause and cause-specific hospitalizations after adjusting for confounders. The interaction between air pollution and individual factors was also investigated. RESULTS: Overall, each 10 μg/m(3) increase in PM(10) concentration was associated with a 3.1% (95%CI: 1.3%−4.9%) increment in the risk of all-cause hospitalization. The estimate was even greater following O(3) exposure (6.8%, 5.5%−8.2%). Furthermore, each 10 μg/m(3) increase in PM(10) was associated with a 2.3%-9.1% elevation in all the cause-specific hospitalizations except for those related to respiratory and digestive diseases. The same increment in O(3) was relevant to a 4.7%−22.8% elevation in the risk except for respiratory diseases. Additionally, the older individuals tended to be more vulnerable to PM(10) exposure (P(interaction): 0.002), while the alcohol abused and those with an abnormal BMI were more vulnerable to the impact of O(3) (P(interaction): 0.052 and 0.011). However, the heavy smokers were less vulnerable to O(3) exposure (P(interaction): 0.032). CONCLUSION: We provide comprehensive evidence on the hospitalization hazard of monthly PM(10) and O(3) exposure and their interaction with individual factors.
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spelling pubmed-100719972023-04-05 The impact of monthly air pollution exposure and its interaction with individual factors: Insight from a large cohort study of comprehensive hospitalizations in Guangzhou area Ju, Xu Yimaer, Wumitijiang Du, Zhicheng Wang, Xinran Cai, Huanle Chen, Shirui Zhang, Yuqin Wu, Gonghua Wu, Wenjing Lin, Xiao Wang, Ying Jiang, Jie Hu, Weihua Zhang, Wangjian Hao, Yuantao Front Public Health Public Health BACKGROUND: Although the association between short-term air pollution exposure and certain hospitalizations has been well documented, evidence on the effect of longer-term (e. g., monthly) air pollution on a comprehensive set of outcomes is still limited. METHOD: A total of 68,416 people in South China were enrolled and followed up during 2019–2020. Monthly air pollution level was estimated using a validated ordinary Kriging method and assigned to individuals. Time-dependent Cox models were developed to estimate the relationship between monthly PM(10) and O(3) exposures and the all-cause and cause-specific hospitalizations after adjusting for confounders. The interaction between air pollution and individual factors was also investigated. RESULTS: Overall, each 10 μg/m(3) increase in PM(10) concentration was associated with a 3.1% (95%CI: 1.3%−4.9%) increment in the risk of all-cause hospitalization. The estimate was even greater following O(3) exposure (6.8%, 5.5%−8.2%). Furthermore, each 10 μg/m(3) increase in PM(10) was associated with a 2.3%-9.1% elevation in all the cause-specific hospitalizations except for those related to respiratory and digestive diseases. The same increment in O(3) was relevant to a 4.7%−22.8% elevation in the risk except for respiratory diseases. Additionally, the older individuals tended to be more vulnerable to PM(10) exposure (P(interaction): 0.002), while the alcohol abused and those with an abnormal BMI were more vulnerable to the impact of O(3) (P(interaction): 0.052 and 0.011). However, the heavy smokers were less vulnerable to O(3) exposure (P(interaction): 0.032). CONCLUSION: We provide comprehensive evidence on the hospitalization hazard of monthly PM(10) and O(3) exposure and their interaction with individual factors. Frontiers Media S.A. 2023-03-21 /pmc/articles/PMC10071997/ /pubmed/37026147 http://dx.doi.org/10.3389/fpubh.2023.1137196 Text en Copyright © 2023 Ju, Yimaer, Du, Wang, Cai, Chen, Zhang, Wu, Wu, Lin, Wang, Jiang, Hu, Zhang and Hao. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Public Health
Ju, Xu
Yimaer, Wumitijiang
Du, Zhicheng
Wang, Xinran
Cai, Huanle
Chen, Shirui
Zhang, Yuqin
Wu, Gonghua
Wu, Wenjing
Lin, Xiao
Wang, Ying
Jiang, Jie
Hu, Weihua
Zhang, Wangjian
Hao, Yuantao
The impact of monthly air pollution exposure and its interaction with individual factors: Insight from a large cohort study of comprehensive hospitalizations in Guangzhou area
title The impact of monthly air pollution exposure and its interaction with individual factors: Insight from a large cohort study of comprehensive hospitalizations in Guangzhou area
title_full The impact of monthly air pollution exposure and its interaction with individual factors: Insight from a large cohort study of comprehensive hospitalizations in Guangzhou area
title_fullStr The impact of monthly air pollution exposure and its interaction with individual factors: Insight from a large cohort study of comprehensive hospitalizations in Guangzhou area
title_full_unstemmed The impact of monthly air pollution exposure and its interaction with individual factors: Insight from a large cohort study of comprehensive hospitalizations in Guangzhou area
title_short The impact of monthly air pollution exposure and its interaction with individual factors: Insight from a large cohort study of comprehensive hospitalizations in Guangzhou area
title_sort impact of monthly air pollution exposure and its interaction with individual factors: insight from a large cohort study of comprehensive hospitalizations in guangzhou area
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10071997/
https://www.ncbi.nlm.nih.gov/pubmed/37026147
http://dx.doi.org/10.3389/fpubh.2023.1137196
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