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The association between long-term exposure to low-level PM(2.5) and mortality in the state of Queensland, Australia: A modelling study with the difference-in-differences approach

BACKGROUND: To date, few studies have investigated the causal relationship between mortality and long-term exposure to a low level of fine particulate matter (PM(2.5)) concentrations. METHODS AND FINDINGS: We studied 242,320 registered deaths in Queensland between January 1, 1998, and December 31, 2...

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Autores principales: Yu, Wenhua, Guo, Yuming, Shi, Liuhua, Li, Shanshan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7302440/
https://www.ncbi.nlm.nih.gov/pubmed/32555635
http://dx.doi.org/10.1371/journal.pmed.1003141
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author Yu, Wenhua
Guo, Yuming
Shi, Liuhua
Li, Shanshan
author_facet Yu, Wenhua
Guo, Yuming
Shi, Liuhua
Li, Shanshan
author_sort Yu, Wenhua
collection PubMed
description BACKGROUND: To date, few studies have investigated the causal relationship between mortality and long-term exposure to a low level of fine particulate matter (PM(2.5)) concentrations. METHODS AND FINDINGS: We studied 242,320 registered deaths in Queensland between January 1, 1998, and December 31, 2013, with satellite-retrieved annual average PM(2.5) concentrations to each postcode. A variant of difference-in-differences (DID) approach was used to investigate the association of long-term PM(2.5) exposure with total mortality and cause-specific (cardiovascular, respiratory, and non-accidental) mortality. We observed 217,510 non-accidental deaths, 133,661 cardiovascular deaths, and 30,748 respiratory deaths in Queensland during the study period. The annual average PM(2.5) concentrations ranged from 1.6 to 9.0 μg/m(3), which were well below the current World Health Organization (WHO) annual standard (10 μg/m(3)). Long-term exposure to PM(2.5) was associated with increased total mortality and cause-specific mortality. For each 1 μg/m(3) increase in annual PM(2.5), we found a 2.02% (95% CI 1.41%–2.63%; p < 0.01) increase in total mortality. Higher effect estimates were observed in Brisbane than those in Queensland for all types of mortality. A major limitation of our study is that the DID design is under the assumption that no predictors other than seasonal temperature exhibit different spatial-temporal variations in relation to PM(2.5) exposure. However, if this assumption is violated (e.g., socioeconomic status [SES] and outdoor physical activities), the DID design is still subject to confounding. CONCLUSIONS: Long-term exposure to PM(2.5) was associated with total, non-accidental, cardiovascular, and respiratory mortality in Queensland, Australia, where PM(2.5) levels were measured well below the WHO air quality standard.
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spelling pubmed-73024402020-06-19 The association between long-term exposure to low-level PM(2.5) and mortality in the state of Queensland, Australia: A modelling study with the difference-in-differences approach Yu, Wenhua Guo, Yuming Shi, Liuhua Li, Shanshan PLoS Med Research Article BACKGROUND: To date, few studies have investigated the causal relationship between mortality and long-term exposure to a low level of fine particulate matter (PM(2.5)) concentrations. METHODS AND FINDINGS: We studied 242,320 registered deaths in Queensland between January 1, 1998, and December 31, 2013, with satellite-retrieved annual average PM(2.5) concentrations to each postcode. A variant of difference-in-differences (DID) approach was used to investigate the association of long-term PM(2.5) exposure with total mortality and cause-specific (cardiovascular, respiratory, and non-accidental) mortality. We observed 217,510 non-accidental deaths, 133,661 cardiovascular deaths, and 30,748 respiratory deaths in Queensland during the study period. The annual average PM(2.5) concentrations ranged from 1.6 to 9.0 μg/m(3), which were well below the current World Health Organization (WHO) annual standard (10 μg/m(3)). Long-term exposure to PM(2.5) was associated with increased total mortality and cause-specific mortality. For each 1 μg/m(3) increase in annual PM(2.5), we found a 2.02% (95% CI 1.41%–2.63%; p < 0.01) increase in total mortality. Higher effect estimates were observed in Brisbane than those in Queensland for all types of mortality. A major limitation of our study is that the DID design is under the assumption that no predictors other than seasonal temperature exhibit different spatial-temporal variations in relation to PM(2.5) exposure. However, if this assumption is violated (e.g., socioeconomic status [SES] and outdoor physical activities), the DID design is still subject to confounding. CONCLUSIONS: Long-term exposure to PM(2.5) was associated with total, non-accidental, cardiovascular, and respiratory mortality in Queensland, Australia, where PM(2.5) levels were measured well below the WHO air quality standard. Public Library of Science 2020-06-18 /pmc/articles/PMC7302440/ /pubmed/32555635 http://dx.doi.org/10.1371/journal.pmed.1003141 Text en © 2020 Yu et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Yu, Wenhua
Guo, Yuming
Shi, Liuhua
Li, Shanshan
The association between long-term exposure to low-level PM(2.5) and mortality in the state of Queensland, Australia: A modelling study with the difference-in-differences approach
title The association between long-term exposure to low-level PM(2.5) and mortality in the state of Queensland, Australia: A modelling study with the difference-in-differences approach
title_full The association between long-term exposure to low-level PM(2.5) and mortality in the state of Queensland, Australia: A modelling study with the difference-in-differences approach
title_fullStr The association between long-term exposure to low-level PM(2.5) and mortality in the state of Queensland, Australia: A modelling study with the difference-in-differences approach
title_full_unstemmed The association between long-term exposure to low-level PM(2.5) and mortality in the state of Queensland, Australia: A modelling study with the difference-in-differences approach
title_short The association between long-term exposure to low-level PM(2.5) and mortality in the state of Queensland, Australia: A modelling study with the difference-in-differences approach
title_sort association between long-term exposure to low-level pm(2.5) and mortality in the state of queensland, australia: a modelling study with the difference-in-differences approach
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7302440/
https://www.ncbi.nlm.nih.gov/pubmed/32555635
http://dx.doi.org/10.1371/journal.pmed.1003141
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