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Ambient particulate matter and biomass burning: an ecological time series study of respiratory and cardiovascular hospital visits in northern Thailand
BACKGROUND: Exposure to particulate matter (PM) emitted from biomass burning is an increasing concern, particularly in Southeast Asia. It is not yet clear how the source of PM influences the risk of an adverse health outcome. The objective of this study was to quantify and compare health risks of PM...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7333306/ https://www.ncbi.nlm.nih.gov/pubmed/32620124 http://dx.doi.org/10.1186/s12940-020-00629-3 |
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author | Mueller, W. Loh, M. Vardoulakis, S. Johnston, H. J. Steinle, S. Precha, N. Kliengchuay, W. Tantrakarnapa, K. Cherrie, J. W. |
author_facet | Mueller, W. Loh, M. Vardoulakis, S. Johnston, H. J. Steinle, S. Precha, N. Kliengchuay, W. Tantrakarnapa, K. Cherrie, J. W. |
author_sort | Mueller, W. |
collection | PubMed |
description | BACKGROUND: Exposure to particulate matter (PM) emitted from biomass burning is an increasing concern, particularly in Southeast Asia. It is not yet clear how the source of PM influences the risk of an adverse health outcome. The objective of this study was to quantify and compare health risks of PM from biomass burning and non-biomass burning sources in northern Thailand. METHODS: We collected ambient air pollutant data (PM with a diameter of < 10 μm [PM(10)], PM(2.5), Carbon Monoxide [CO], Ozone [O(3)], and Nitrogen Dioxide [NO(2)]) from ground-based monitors and daily outpatient hospital visits in Thailand during 2014–2017. Outpatient data included chronic lower respiratory disease (CLRD), ischaemic heart disease (IHD), and cerebrovascular disease (CBVD). We performed an ecological time series analysis to evaluate the association between daily air pollutants and outpatient visits. We used the 90th and 95th percentiles of PM(10) concentrations to determine days of exposure to PM predominantly from biomass burning. RESULTS: There was significant intra annual variation in PM(10) levels, with the highest concentrations occurring during March, coinciding with peak biomass burning. Incidence Rate Ratios (IRRs) between daily PM(10) and outpatient visits were elevated most on the same day as exposure for CLRD = 1.020 (95% CI: 1.012 to 1.028) and CBVD = 1.020 (95% CI: 1.004 to 1.035), with no association with IHD = 0.994 (95% CI: 0.974 to 1.014). Adjusting for CO tended to increase effect estimates. We did not find evidence of an exposure response relationship with levels of PM(10) on days of biomass burning. CONCLUSIONS: We found same-day exposures of PM(10) to be associated with certain respiratory and cardiovascular outpatient visits. We advise implementing measures to reduce population exposures to PM wherever possible, and to improve understanding of health effects associated with burning specific types of biomass in areas where such large-scale activities occur. |
format | Online Article Text |
id | pubmed-7333306 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-73333062020-07-06 Ambient particulate matter and biomass burning: an ecological time series study of respiratory and cardiovascular hospital visits in northern Thailand Mueller, W. Loh, M. Vardoulakis, S. Johnston, H. J. Steinle, S. Precha, N. Kliengchuay, W. Tantrakarnapa, K. Cherrie, J. W. Environ Health Research BACKGROUND: Exposure to particulate matter (PM) emitted from biomass burning is an increasing concern, particularly in Southeast Asia. It is not yet clear how the source of PM influences the risk of an adverse health outcome. The objective of this study was to quantify and compare health risks of PM from biomass burning and non-biomass burning sources in northern Thailand. METHODS: We collected ambient air pollutant data (PM with a diameter of < 10 μm [PM(10)], PM(2.5), Carbon Monoxide [CO], Ozone [O(3)], and Nitrogen Dioxide [NO(2)]) from ground-based monitors and daily outpatient hospital visits in Thailand during 2014–2017. Outpatient data included chronic lower respiratory disease (CLRD), ischaemic heart disease (IHD), and cerebrovascular disease (CBVD). We performed an ecological time series analysis to evaluate the association between daily air pollutants and outpatient visits. We used the 90th and 95th percentiles of PM(10) concentrations to determine days of exposure to PM predominantly from biomass burning. RESULTS: There was significant intra annual variation in PM(10) levels, with the highest concentrations occurring during March, coinciding with peak biomass burning. Incidence Rate Ratios (IRRs) between daily PM(10) and outpatient visits were elevated most on the same day as exposure for CLRD = 1.020 (95% CI: 1.012 to 1.028) and CBVD = 1.020 (95% CI: 1.004 to 1.035), with no association with IHD = 0.994 (95% CI: 0.974 to 1.014). Adjusting for CO tended to increase effect estimates. We did not find evidence of an exposure response relationship with levels of PM(10) on days of biomass burning. CONCLUSIONS: We found same-day exposures of PM(10) to be associated with certain respiratory and cardiovascular outpatient visits. We advise implementing measures to reduce population exposures to PM wherever possible, and to improve understanding of health effects associated with burning specific types of biomass in areas where such large-scale activities occur. BioMed Central 2020-07-03 /pmc/articles/PMC7333306/ /pubmed/32620124 http://dx.doi.org/10.1186/s12940-020-00629-3 Text en © The Author(s) 2020 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/. The Creative Commons Public Domain Dedication waiver (http://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 Mueller, W. Loh, M. Vardoulakis, S. Johnston, H. J. Steinle, S. Precha, N. Kliengchuay, W. Tantrakarnapa, K. Cherrie, J. W. Ambient particulate matter and biomass burning: an ecological time series study of respiratory and cardiovascular hospital visits in northern Thailand |
title | Ambient particulate matter and biomass burning: an ecological time series study of respiratory and cardiovascular hospital visits in northern Thailand |
title_full | Ambient particulate matter and biomass burning: an ecological time series study of respiratory and cardiovascular hospital visits in northern Thailand |
title_fullStr | Ambient particulate matter and biomass burning: an ecological time series study of respiratory and cardiovascular hospital visits in northern Thailand |
title_full_unstemmed | Ambient particulate matter and biomass burning: an ecological time series study of respiratory and cardiovascular hospital visits in northern Thailand |
title_short | Ambient particulate matter and biomass burning: an ecological time series study of respiratory and cardiovascular hospital visits in northern Thailand |
title_sort | ambient particulate matter and biomass burning: an ecological time series study of respiratory and cardiovascular hospital visits in northern thailand |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7333306/ https://www.ncbi.nlm.nih.gov/pubmed/32620124 http://dx.doi.org/10.1186/s12940-020-00629-3 |
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