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Impacts of discriminated PM(2.5) on global under-five and maternal mortality

Globally, it was estimated that maternal and under-five deaths were high in low-income countries than that of high-income countries. Most studies, however, have focused only on the clinical causes of maternal and under-five deaths, and yet there could be other factors such as ambient particulate mat...

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Autores principales: Owili, Patrick Opiyo, Lin, Tang-Huang, Muga, Miriam Adoyo, Lien, Wei-Hung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7573627/
https://www.ncbi.nlm.nih.gov/pubmed/33077784
http://dx.doi.org/10.1038/s41598-020-74437-7
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author Owili, Patrick Opiyo
Lin, Tang-Huang
Muga, Miriam Adoyo
Lien, Wei-Hung
author_facet Owili, Patrick Opiyo
Lin, Tang-Huang
Muga, Miriam Adoyo
Lien, Wei-Hung
author_sort Owili, Patrick Opiyo
collection PubMed
description Globally, it was estimated that maternal and under-five deaths were high in low-income countries than that of high-income countries. Most studies, however, have focused only on the clinical causes of maternal and under-five deaths, and yet there could be other factors such as ambient particulate matter (PM). The current global estimates indicate that exposure to ambient PM(2.5) (with ≤ 2.5 microns aerodynamic diameter) has caused about 7 million deaths and over 100 million disability-adjusted life-years. There are also several health risks that have been linked PM(2.5), including mortality, both regionally and globally; however, PM(2.5) is a mixture of many compounds from various sources. Globally, there is little evidence of the health effects of various types of PM(2.5,) which may uniquely contribute to the global burden of disease. Currently, only two studies had estimated the effects of discriminated ambient PM(2.5), that is, anthropogenic, biomass and dust, on under-five and maternal mortality using satellite measurements, and this study found a positive association in Africa and Asia. However, the study area was conducted in only one region and may not reflect the spatial variations throughout the world. Therefore, in this study, we discriminated different ambient PM(2.5) and estimated the effects on a global scale. Using the generalized linear mixed-effects model (GLMM) with a random-effects model, we found that biomass PM(2.5) was associated with an 8.9% (95% confidence interval [CI] 4.1–13.9%) increased risk of under-five deaths, while dust PM(2.5) was marginally associated with 9.5% of under-five deaths. Nevertheless, our study found no association between PM(2.5) type and global maternal deaths. This result may be because the majority of maternal deaths could be associated with preventable deaths that would require clinical interventions. Identification of the mortality-related types of ambient PM(2.5) can enable the development of a focused intervention strategy of placing appropriate preventive measures for reducing the generation of source-specific PM(2.5) and subsequently diminishing PM(2.5)-related mortality.
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spelling pubmed-75736272020-10-21 Impacts of discriminated PM(2.5) on global under-five and maternal mortality Owili, Patrick Opiyo Lin, Tang-Huang Muga, Miriam Adoyo Lien, Wei-Hung Sci Rep Article Globally, it was estimated that maternal and under-five deaths were high in low-income countries than that of high-income countries. Most studies, however, have focused only on the clinical causes of maternal and under-five deaths, and yet there could be other factors such as ambient particulate matter (PM). The current global estimates indicate that exposure to ambient PM(2.5) (with ≤ 2.5 microns aerodynamic diameter) has caused about 7 million deaths and over 100 million disability-adjusted life-years. There are also several health risks that have been linked PM(2.5), including mortality, both regionally and globally; however, PM(2.5) is a mixture of many compounds from various sources. Globally, there is little evidence of the health effects of various types of PM(2.5,) which may uniquely contribute to the global burden of disease. Currently, only two studies had estimated the effects of discriminated ambient PM(2.5), that is, anthropogenic, biomass and dust, on under-five and maternal mortality using satellite measurements, and this study found a positive association in Africa and Asia. However, the study area was conducted in only one region and may not reflect the spatial variations throughout the world. Therefore, in this study, we discriminated different ambient PM(2.5) and estimated the effects on a global scale. Using the generalized linear mixed-effects model (GLMM) with a random-effects model, we found that biomass PM(2.5) was associated with an 8.9% (95% confidence interval [CI] 4.1–13.9%) increased risk of under-five deaths, while dust PM(2.5) was marginally associated with 9.5% of under-five deaths. Nevertheless, our study found no association between PM(2.5) type and global maternal deaths. This result may be because the majority of maternal deaths could be associated with preventable deaths that would require clinical interventions. Identification of the mortality-related types of ambient PM(2.5) can enable the development of a focused intervention strategy of placing appropriate preventive measures for reducing the generation of source-specific PM(2.5) and subsequently diminishing PM(2.5)-related mortality. Nature Publishing Group UK 2020-10-19 /pmc/articles/PMC7573627/ /pubmed/33077784 http://dx.doi.org/10.1038/s41598-020-74437-7 Text en © The Author(s) 2020 Open Access This 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/.
spellingShingle Article
Owili, Patrick Opiyo
Lin, Tang-Huang
Muga, Miriam Adoyo
Lien, Wei-Hung
Impacts of discriminated PM(2.5) on global under-five and maternal mortality
title Impacts of discriminated PM(2.5) on global under-five and maternal mortality
title_full Impacts of discriminated PM(2.5) on global under-five and maternal mortality
title_fullStr Impacts of discriminated PM(2.5) on global under-five and maternal mortality
title_full_unstemmed Impacts of discriminated PM(2.5) on global under-five and maternal mortality
title_short Impacts of discriminated PM(2.5) on global under-five and maternal mortality
title_sort impacts of discriminated pm(2.5) on global under-five and maternal mortality
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7573627/
https://www.ncbi.nlm.nih.gov/pubmed/33077784
http://dx.doi.org/10.1038/s41598-020-74437-7
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