Cargando…

Acute effect of fine particulate matter and respiratory mortality in Changsha, China: a time-series analysis

BACKGROUND: Previous studies have confirmed that exposure to fine particulate matter (PM(2.5)) is associated with respiratory disease mortality. However, due to the differences in PM(2.5) concentration, composition and population susceptibility within different regions, the estimates of the associat...

Descripción completa

Detalles Bibliográficos
Autores principales: Feng, Qi, Chen, Yan, Su, Sha, Zhang, Xixing, Lin, Xijian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9652800/
https://www.ncbi.nlm.nih.gov/pubmed/36368963
http://dx.doi.org/10.1186/s12890-022-02216-3
_version_ 1784828552914403328
author Feng, Qi
Chen, Yan
Su, Sha
Zhang, Xixing
Lin, Xijian
author_facet Feng, Qi
Chen, Yan
Su, Sha
Zhang, Xixing
Lin, Xijian
author_sort Feng, Qi
collection PubMed
description BACKGROUND: Previous studies have confirmed that exposure to fine particulate matter (PM(2.5)) is associated with respiratory disease mortality. However, due to the differences in PM(2.5) concentration, composition and population susceptibility within different regions, the estimates of the association between PM(2.5) concentration and mortality are different. Moreover, few studies have examined the potential hazard of excessive PM(2.5) exposure in terms of respiratory disease mortality. METHODS: Daily recorded data on meteorological indices, environmental pollutants, and causes of death data in Changsha from January 2015 to December 2018 were obtained. The potential relationship between PM(2.5) concentrations and respiratory disease mortality was determined using distributed lag nonlinear model (DLNM), which includes the relative risk (RR) and cumulative relative risk (CRR) of the lagged effect. The synergistic effects of other air pollutants were also considered. RESULTS: A total of 8,825 cases of respiratory disease mortality occurred in Changsha between 2015 and 2018. The acute effect of PM(2.5) concentration was associated with an increased risk of respiratory disease mortality. Regarding the lag specific effect, a 10 μg/m(3) increase in PM(2.5) concentration on respiratory disease mortality was statistically significant at lag day 0 and lag day 7 with a relative risk of 1.019 (95% CI 1.007- 1.031) and 1.013(95%CI: 1.002-1.024). As for the cumulative lag effect, a 4-day moving average of PM(2.5) concentrations was significantly associated with a cumulative relative risk of 1.027 (95%CI: 1.011-1.031). The single-day lag effect and cumulative 4-day lag effect for male individuals were more significant than those observed in females. The effect of PM(2.5) concentrations and respiratory disease mortality remained statistically significant in the multi-pollutant models (SO(2), NO(2), and O(3)). A higher risk was observed in the cold season than in the warm season. CONCLUSIONS: Our findings show a potential association between exposure to PM(2.5) concentration and respiratory disease mortality in Changsha, with male individuals observed to have particularly higher risk.
format Online
Article
Text
id pubmed-9652800
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-96528002022-11-15 Acute effect of fine particulate matter and respiratory mortality in Changsha, China: a time-series analysis Feng, Qi Chen, Yan Su, Sha Zhang, Xixing Lin, Xijian BMC Pulm Med Research BACKGROUND: Previous studies have confirmed that exposure to fine particulate matter (PM(2.5)) is associated with respiratory disease mortality. However, due to the differences in PM(2.5) concentration, composition and population susceptibility within different regions, the estimates of the association between PM(2.5) concentration and mortality are different. Moreover, few studies have examined the potential hazard of excessive PM(2.5) exposure in terms of respiratory disease mortality. METHODS: Daily recorded data on meteorological indices, environmental pollutants, and causes of death data in Changsha from January 2015 to December 2018 were obtained. The potential relationship between PM(2.5) concentrations and respiratory disease mortality was determined using distributed lag nonlinear model (DLNM), which includes the relative risk (RR) and cumulative relative risk (CRR) of the lagged effect. The synergistic effects of other air pollutants were also considered. RESULTS: A total of 8,825 cases of respiratory disease mortality occurred in Changsha between 2015 and 2018. The acute effect of PM(2.5) concentration was associated with an increased risk of respiratory disease mortality. Regarding the lag specific effect, a 10 μg/m(3) increase in PM(2.5) concentration on respiratory disease mortality was statistically significant at lag day 0 and lag day 7 with a relative risk of 1.019 (95% CI 1.007- 1.031) and 1.013(95%CI: 1.002-1.024). As for the cumulative lag effect, a 4-day moving average of PM(2.5) concentrations was significantly associated with a cumulative relative risk of 1.027 (95%CI: 1.011-1.031). The single-day lag effect and cumulative 4-day lag effect for male individuals were more significant than those observed in females. The effect of PM(2.5) concentrations and respiratory disease mortality remained statistically significant in the multi-pollutant models (SO(2), NO(2), and O(3)). A higher risk was observed in the cold season than in the warm season. CONCLUSIONS: Our findings show a potential association between exposure to PM(2.5) concentration and respiratory disease mortality in Changsha, with male individuals observed to have particularly higher risk. BioMed Central 2022-11-12 /pmc/articles/PMC9652800/ /pubmed/36368963 http://dx.doi.org/10.1186/s12890-022-02216-3 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Feng, Qi
Chen, Yan
Su, Sha
Zhang, Xixing
Lin, Xijian
Acute effect of fine particulate matter and respiratory mortality in Changsha, China: a time-series analysis
title Acute effect of fine particulate matter and respiratory mortality in Changsha, China: a time-series analysis
title_full Acute effect of fine particulate matter and respiratory mortality in Changsha, China: a time-series analysis
title_fullStr Acute effect of fine particulate matter and respiratory mortality in Changsha, China: a time-series analysis
title_full_unstemmed Acute effect of fine particulate matter and respiratory mortality in Changsha, China: a time-series analysis
title_short Acute effect of fine particulate matter and respiratory mortality in Changsha, China: a time-series analysis
title_sort acute effect of fine particulate matter and respiratory mortality in changsha, china: a time-series analysis
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9652800/
https://www.ncbi.nlm.nih.gov/pubmed/36368963
http://dx.doi.org/10.1186/s12890-022-02216-3
work_keys_str_mv AT fengqi acuteeffectoffineparticulatematterandrespiratorymortalityinchangshachinaatimeseriesanalysis
AT chenyan acuteeffectoffineparticulatematterandrespiratorymortalityinchangshachinaatimeseriesanalysis
AT susha acuteeffectoffineparticulatematterandrespiratorymortalityinchangshachinaatimeseriesanalysis
AT zhangxixing acuteeffectoffineparticulatematterandrespiratorymortalityinchangshachinaatimeseriesanalysis
AT linxijian acuteeffectoffineparticulatematterandrespiratorymortalityinchangshachinaatimeseriesanalysis