Cargando…

Ambient air pollutants relate to hospital admissions for chronic obstructive pulmonary disease in Ganzhou, China

OBJECTIVE: To evaluate the relationship between ambient air pollutants and chronic obstructive pulmonary disease in relatively low-polluted areas in China. METHODS: Atmospheric pollutants levels and meteorological data were obtained from January 2016 to December 2020. The medical database including...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhou, Xingye, Li, Chenwei, Gao, Yanfang, Zhou, Chuanfei, Huang, Lei, Zhang, Xiaokang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Faculdade de Saúde Pública da Universidade de São Paulo 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9165633/
https://www.ncbi.nlm.nih.gov/pubmed/35703601
http://dx.doi.org/10.11606/s1518-8787.2022056004324
_version_ 1784720432410132480
author Zhou, Xingye
Li, Chenwei
Gao, Yanfang
Zhou, Chuanfei
Huang, Lei
Zhang, Xiaokang
author_facet Zhou, Xingye
Li, Chenwei
Gao, Yanfang
Zhou, Chuanfei
Huang, Lei
Zhang, Xiaokang
author_sort Zhou, Xingye
collection PubMed
description OBJECTIVE: To evaluate the relationship between ambient air pollutants and chronic obstructive pulmonary disease in relatively low-polluted areas in China. METHODS: Atmospheric pollutants levels and meteorological data were obtained from January 2016 to December 2020. The medical database including daily hospital admissions for chronic obstructive pulmonary disease (ICD10: J44) was derived from the First Affiliated Hospital of Gannan Medical University. The generalized additive model was used to analyze the percentage change with 95% confidence interval in daily hospital admissions for chronic obstructive pulmonary disease associated with a 10 µg/m(3 )increase in atmospheric pollutants levels. RESULTS: In total, occurred 4,980 chronic obstructive pulmonary disease hospital admissions (not including emergency department visits) during 2016–2020. The mean concentrations of daily PM(2.5), PM(10), SO(2), NO(2), O(3), and CO were 37.5 μg/m(3), 60.1 μg/m(3), 18.7 μg/m(3), 23.5 μg/m(3), 70.0 μg/m(3), and 1.2 mg/m(3) in Ganzhou. Each 10 µg/m(3) increment of PM(2.5), PM(10), NO(2), and O(3) were significantly associated with 2.8% (95%CI: 1.0–4.7), 1.3% (95%CI: 0.3–2.4), 2.8% (95%CI: 0.4–5.4), and 1.5% (95%CI: 0.2–2.7) elevation in daily chronic obstructive pulmonary disease hospital admissions. The estimates of delayed effects of PM(2.5), PM(10), NO(2), and O(3) were observed at lag6, lag6, lag8, lag1, respectively. The health effects of particulate pollutants (PM(2.5) and PM(10)) may be independent of other pollutants. The adverse effects of air pollutants were more evident in the warm season (May–Oct) than in the cold season (Nov–Apr). CONCLUSION: Our study demonstrated that elevated concentrations of atmospheric pollutant (PM(2.5), PM(10), NO(2), and O(3)), especially particulate pollutants, can be associated with increased daily count of hospital admissions for chronic obstructive pulmonary disease , which may promote further understanding of the potential hazards of relatively low levels of air pollution on chronic obstructive pulmonary disease and other respiratory disorders.
format Online
Article
Text
id pubmed-9165633
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Faculdade de Saúde Pública da Universidade de São Paulo
record_format MEDLINE/PubMed
spelling pubmed-91656332022-07-05 Ambient air pollutants relate to hospital admissions for chronic obstructive pulmonary disease in Ganzhou, China Zhou, Xingye Li, Chenwei Gao, Yanfang Zhou, Chuanfei Huang, Lei Zhang, Xiaokang Rev Saude Publica Original Article OBJECTIVE: To evaluate the relationship between ambient air pollutants and chronic obstructive pulmonary disease in relatively low-polluted areas in China. METHODS: Atmospheric pollutants levels and meteorological data were obtained from January 2016 to December 2020. The medical database including daily hospital admissions for chronic obstructive pulmonary disease (ICD10: J44) was derived from the First Affiliated Hospital of Gannan Medical University. The generalized additive model was used to analyze the percentage change with 95% confidence interval in daily hospital admissions for chronic obstructive pulmonary disease associated with a 10 µg/m(3 )increase in atmospheric pollutants levels. RESULTS: In total, occurred 4,980 chronic obstructive pulmonary disease hospital admissions (not including emergency department visits) during 2016–2020. The mean concentrations of daily PM(2.5), PM(10), SO(2), NO(2), O(3), and CO were 37.5 μg/m(3), 60.1 μg/m(3), 18.7 μg/m(3), 23.5 μg/m(3), 70.0 μg/m(3), and 1.2 mg/m(3) in Ganzhou. Each 10 µg/m(3) increment of PM(2.5), PM(10), NO(2), and O(3) were significantly associated with 2.8% (95%CI: 1.0–4.7), 1.3% (95%CI: 0.3–2.4), 2.8% (95%CI: 0.4–5.4), and 1.5% (95%CI: 0.2–2.7) elevation in daily chronic obstructive pulmonary disease hospital admissions. The estimates of delayed effects of PM(2.5), PM(10), NO(2), and O(3) were observed at lag6, lag6, lag8, lag1, respectively. The health effects of particulate pollutants (PM(2.5) and PM(10)) may be independent of other pollutants. The adverse effects of air pollutants were more evident in the warm season (May–Oct) than in the cold season (Nov–Apr). CONCLUSION: Our study demonstrated that elevated concentrations of atmospheric pollutant (PM(2.5), PM(10), NO(2), and O(3)), especially particulate pollutants, can be associated with increased daily count of hospital admissions for chronic obstructive pulmonary disease , which may promote further understanding of the potential hazards of relatively low levels of air pollution on chronic obstructive pulmonary disease and other respiratory disorders. Faculdade de Saúde Pública da Universidade de São Paulo 2022-05-18 /pmc/articles/PMC9165633/ /pubmed/35703601 http://dx.doi.org/10.11606/s1518-8787.2022056004324 Text en https://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Zhou, Xingye
Li, Chenwei
Gao, Yanfang
Zhou, Chuanfei
Huang, Lei
Zhang, Xiaokang
Ambient air pollutants relate to hospital admissions for chronic obstructive pulmonary disease in Ganzhou, China
title Ambient air pollutants relate to hospital admissions for chronic obstructive pulmonary disease in Ganzhou, China
title_full Ambient air pollutants relate to hospital admissions for chronic obstructive pulmonary disease in Ganzhou, China
title_fullStr Ambient air pollutants relate to hospital admissions for chronic obstructive pulmonary disease in Ganzhou, China
title_full_unstemmed Ambient air pollutants relate to hospital admissions for chronic obstructive pulmonary disease in Ganzhou, China
title_short Ambient air pollutants relate to hospital admissions for chronic obstructive pulmonary disease in Ganzhou, China
title_sort ambient air pollutants relate to hospital admissions for chronic obstructive pulmonary disease in ganzhou, china
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9165633/
https://www.ncbi.nlm.nih.gov/pubmed/35703601
http://dx.doi.org/10.11606/s1518-8787.2022056004324
work_keys_str_mv AT zhouxingye ambientairpollutantsrelatetohospitaladmissionsforchronicobstructivepulmonarydiseaseinganzhouchina
AT lichenwei ambientairpollutantsrelatetohospitaladmissionsforchronicobstructivepulmonarydiseaseinganzhouchina
AT gaoyanfang ambientairpollutantsrelatetohospitaladmissionsforchronicobstructivepulmonarydiseaseinganzhouchina
AT zhouchuanfei ambientairpollutantsrelatetohospitaladmissionsforchronicobstructivepulmonarydiseaseinganzhouchina
AT huanglei ambientairpollutantsrelatetohospitaladmissionsforchronicobstructivepulmonarydiseaseinganzhouchina
AT zhangxiaokang ambientairpollutantsrelatetohospitaladmissionsforchronicobstructivepulmonarydiseaseinganzhouchina