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Spatial environmental factors predict cardiovascular and all-cause mortality: Results of the SPACE study

BACKGROUND: Environmental exposures account for a growing proportion of global mortality. Large cohort studies are needed to characterize the independent impact of environmental exposures on mortality in low-income settings. METHODS: We collected data on individual and environmental risk factors for...

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Autores principales: Hadley, Michael B., Nalini, Mahdi, Adhikari, Samrachana, Szymonifka, Jackie, Etemadi, Arash, Kamangar, Farin, Khoshnia, Masoud, McChane, Tyler, Pourshams, Akram, Poustchi, Hossein, Sepanlou, Sadaf G., Abnet, Christian, Freedman, Neal D., Boffetta, Paolo, Malekzadeh, Reza, Vedanthan, Rajesh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9231727/
https://www.ncbi.nlm.nih.gov/pubmed/35749347
http://dx.doi.org/10.1371/journal.pone.0269650
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author Hadley, Michael B.
Nalini, Mahdi
Adhikari, Samrachana
Szymonifka, Jackie
Etemadi, Arash
Kamangar, Farin
Khoshnia, Masoud
McChane, Tyler
Pourshams, Akram
Poustchi, Hossein
Sepanlou, Sadaf G.
Abnet, Christian
Freedman, Neal D.
Boffetta, Paolo
Malekzadeh, Reza
Vedanthan, Rajesh
author_facet Hadley, Michael B.
Nalini, Mahdi
Adhikari, Samrachana
Szymonifka, Jackie
Etemadi, Arash
Kamangar, Farin
Khoshnia, Masoud
McChane, Tyler
Pourshams, Akram
Poustchi, Hossein
Sepanlou, Sadaf G.
Abnet, Christian
Freedman, Neal D.
Boffetta, Paolo
Malekzadeh, Reza
Vedanthan, Rajesh
author_sort Hadley, Michael B.
collection PubMed
description BACKGROUND: Environmental exposures account for a growing proportion of global mortality. Large cohort studies are needed to characterize the independent impact of environmental exposures on mortality in low-income settings. METHODS: We collected data on individual and environmental risk factors for a multiethnic cohort of 50,045 individuals in a low-income region in Iran. Environmental risk factors included: ambient fine particular matter air pollution; household fuel use and ventilation; proximity to traffic; distance to percutaneous coronary intervention (PCI) center; socioeconomic environment; population density; local land use; and nighttime light exposure. We developed a spatial survival model to estimate the independent associations between these environmental exposures and all-cause and cardiovascular mortality. FINDINGS: Several environmental factors demonstrated associations with mortality after adjusting for individual risk factors. Ambient fine particulate matter air pollution predicted all-cause mortality (per μg/m(3), HR 1.20, 95% CI 1.07, 1.36) and cardiovascular mortality (HR 1.17, 95% CI 0.98, 1.39). Biomass fuel use without chimney predicted all-cause mortality (reference = gas, HR 1.23, 95% CI 0.99, 1.53) and cardiovascular mortality (HR 1.36, 95% CI 0.99, 1.87). Kerosene fuel use without chimney predicted all-cause mortality (reference = gas, HR 1.09, 95% CI 0.97, 1.23) and cardiovascular mortality (HR 1.19, 95% CI 1.01, 1.41). Distance to PCI center predicted all-cause mortality (per 10km, HR 1.01, 95% CI 1.004, 1.022) and cardiovascular mortality (HR 1.02, 95% CI 1.004, 1.031). Additionally, proximity to traffic predicted all-cause mortality (HR 1.13, 95% CI 1.01, 1.27). In a separate validation cohort, the multivariable model effectively predicted both all-cause mortality (AUC 0.76) and cardiovascular mortality (AUC 0.81). Population attributable fractions demonstrated a high mortality burden attributable to environmental exposures. INTERPRETATION: Several environmental factors predicted cardiovascular and all-cause mortality, independent of each other and of individual risk factors. Mortality attributable to environmental factors represents a critical opportunity for targeted policies and programs.
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spelling pubmed-92317272022-06-25 Spatial environmental factors predict cardiovascular and all-cause mortality: Results of the SPACE study Hadley, Michael B. Nalini, Mahdi Adhikari, Samrachana Szymonifka, Jackie Etemadi, Arash Kamangar, Farin Khoshnia, Masoud McChane, Tyler Pourshams, Akram Poustchi, Hossein Sepanlou, Sadaf G. Abnet, Christian Freedman, Neal D. Boffetta, Paolo Malekzadeh, Reza Vedanthan, Rajesh PLoS One Research Article BACKGROUND: Environmental exposures account for a growing proportion of global mortality. Large cohort studies are needed to characterize the independent impact of environmental exposures on mortality in low-income settings. METHODS: We collected data on individual and environmental risk factors for a multiethnic cohort of 50,045 individuals in a low-income region in Iran. Environmental risk factors included: ambient fine particular matter air pollution; household fuel use and ventilation; proximity to traffic; distance to percutaneous coronary intervention (PCI) center; socioeconomic environment; population density; local land use; and nighttime light exposure. We developed a spatial survival model to estimate the independent associations between these environmental exposures and all-cause and cardiovascular mortality. FINDINGS: Several environmental factors demonstrated associations with mortality after adjusting for individual risk factors. Ambient fine particulate matter air pollution predicted all-cause mortality (per μg/m(3), HR 1.20, 95% CI 1.07, 1.36) and cardiovascular mortality (HR 1.17, 95% CI 0.98, 1.39). Biomass fuel use without chimney predicted all-cause mortality (reference = gas, HR 1.23, 95% CI 0.99, 1.53) and cardiovascular mortality (HR 1.36, 95% CI 0.99, 1.87). Kerosene fuel use without chimney predicted all-cause mortality (reference = gas, HR 1.09, 95% CI 0.97, 1.23) and cardiovascular mortality (HR 1.19, 95% CI 1.01, 1.41). Distance to PCI center predicted all-cause mortality (per 10km, HR 1.01, 95% CI 1.004, 1.022) and cardiovascular mortality (HR 1.02, 95% CI 1.004, 1.031). Additionally, proximity to traffic predicted all-cause mortality (HR 1.13, 95% CI 1.01, 1.27). In a separate validation cohort, the multivariable model effectively predicted both all-cause mortality (AUC 0.76) and cardiovascular mortality (AUC 0.81). Population attributable fractions demonstrated a high mortality burden attributable to environmental exposures. INTERPRETATION: Several environmental factors predicted cardiovascular and all-cause mortality, independent of each other and of individual risk factors. Mortality attributable to environmental factors represents a critical opportunity for targeted policies and programs. Public Library of Science 2022-06-24 /pmc/articles/PMC9231727/ /pubmed/35749347 http://dx.doi.org/10.1371/journal.pone.0269650 Text en https://creativecommons.org/publicdomain/zero/1.0/This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 (https://creativecommons.org/publicdomain/zero/1.0/) public domain dedication.
spellingShingle Research Article
Hadley, Michael B.
Nalini, Mahdi
Adhikari, Samrachana
Szymonifka, Jackie
Etemadi, Arash
Kamangar, Farin
Khoshnia, Masoud
McChane, Tyler
Pourshams, Akram
Poustchi, Hossein
Sepanlou, Sadaf G.
Abnet, Christian
Freedman, Neal D.
Boffetta, Paolo
Malekzadeh, Reza
Vedanthan, Rajesh
Spatial environmental factors predict cardiovascular and all-cause mortality: Results of the SPACE study
title Spatial environmental factors predict cardiovascular and all-cause mortality: Results of the SPACE study
title_full Spatial environmental factors predict cardiovascular and all-cause mortality: Results of the SPACE study
title_fullStr Spatial environmental factors predict cardiovascular and all-cause mortality: Results of the SPACE study
title_full_unstemmed Spatial environmental factors predict cardiovascular and all-cause mortality: Results of the SPACE study
title_short Spatial environmental factors predict cardiovascular and all-cause mortality: Results of the SPACE study
title_sort spatial environmental factors predict cardiovascular and all-cause mortality: results of the space study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9231727/
https://www.ncbi.nlm.nih.gov/pubmed/35749347
http://dx.doi.org/10.1371/journal.pone.0269650
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