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Exposure to multiple air pollutants and the incidence of coronary heart disease: A fine-scale geographic analysis
Geographical variations in cardiovascular disease rates have been linked to individual air pollutants. Investigating the relation between cardiovascular disease and exposure to a complex mixture of air pollutants requires holistic approaches. We assessed the relationship between exposure to multiple...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Published by Elsevier B.V.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7112033/ https://www.ncbi.nlm.nih.gov/pubmed/32018947 http://dx.doi.org/10.1016/j.scitotenv.2020.136608 |
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author | Occelli, Florent Lanier, Caroline Cuny, Damien Deram, Annabelle Dumont, Julie Amouyel, Philippe Montaye, Michèle Dauchet, Luc Dallongeville, Jean Genin, Michaël |
author_facet | Occelli, Florent Lanier, Caroline Cuny, Damien Deram, Annabelle Dumont, Julie Amouyel, Philippe Montaye, Michèle Dauchet, Luc Dallongeville, Jean Genin, Michaël |
author_sort | Occelli, Florent |
collection | PubMed |
description | Geographical variations in cardiovascular disease rates have been linked to individual air pollutants. Investigating the relation between cardiovascular disease and exposure to a complex mixture of air pollutants requires holistic approaches. We assessed the relationship between exposure to multiple air pollutants and the incidence of coronary heart disease (CHD) in a general population sample. We collected data in the Lille MONICA registry (2008–2011) on 3268 incident cases (age range: 35–74). Based on 20 indicators, we derived a composite environmental score (SEnv) for cumulative exposure to air pollution. Poisson regression models were used to analyse associations between CHD rates on one hand and SEnv and each single indicator on the other (considered in tertiles, where T3 is the most contaminated). We adjusted models for age, sex, area-level social deprivation, and neighbourhood spatial structure. The incidence of CHD was a spatially heterogeneous (p=0.006). There was a significant positive association between SEnv and CHD incidence (trend p=0.0151). The relative risks [95%CI] of CHD were 1.08 [0.98–1.18] and 1.16 [1.04–1.29] for the 2nd and 3rd tertile of SEnv exposure. In the single pollutant analysis, PM(10), NO(2), cadmium, copper, nickel, and palladium were significantly associated with CHD rates. Multiple air pollution was associated with an increased risk of CHD. Single pollutants reflecting road traffic pollution were the most strongly associated with CHD. Our present results are consistent with the literature data on the impact of road traffic on the CHD risk in urban areas. |
format | Online Article Text |
id | pubmed-7112033 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Published by Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-71120332020-04-02 Exposure to multiple air pollutants and the incidence of coronary heart disease: A fine-scale geographic analysis Occelli, Florent Lanier, Caroline Cuny, Damien Deram, Annabelle Dumont, Julie Amouyel, Philippe Montaye, Michèle Dauchet, Luc Dallongeville, Jean Genin, Michaël Sci Total Environ Article Geographical variations in cardiovascular disease rates have been linked to individual air pollutants. Investigating the relation between cardiovascular disease and exposure to a complex mixture of air pollutants requires holistic approaches. We assessed the relationship between exposure to multiple air pollutants and the incidence of coronary heart disease (CHD) in a general population sample. We collected data in the Lille MONICA registry (2008–2011) on 3268 incident cases (age range: 35–74). Based on 20 indicators, we derived a composite environmental score (SEnv) for cumulative exposure to air pollution. Poisson regression models were used to analyse associations between CHD rates on one hand and SEnv and each single indicator on the other (considered in tertiles, where T3 is the most contaminated). We adjusted models for age, sex, area-level social deprivation, and neighbourhood spatial structure. The incidence of CHD was a spatially heterogeneous (p=0.006). There was a significant positive association between SEnv and CHD incidence (trend p=0.0151). The relative risks [95%CI] of CHD were 1.08 [0.98–1.18] and 1.16 [1.04–1.29] for the 2nd and 3rd tertile of SEnv exposure. In the single pollutant analysis, PM(10), NO(2), cadmium, copper, nickel, and palladium were significantly associated with CHD rates. Multiple air pollution was associated with an increased risk of CHD. Single pollutants reflecting road traffic pollution were the most strongly associated with CHD. Our present results are consistent with the literature data on the impact of road traffic on the CHD risk in urban areas. Published by Elsevier B.V. 2020-04-20 2020-01-29 /pmc/articles/PMC7112033/ /pubmed/32018947 http://dx.doi.org/10.1016/j.scitotenv.2020.136608 Text en © 2020 Published by Elsevier B.V. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Occelli, Florent Lanier, Caroline Cuny, Damien Deram, Annabelle Dumont, Julie Amouyel, Philippe Montaye, Michèle Dauchet, Luc Dallongeville, Jean Genin, Michaël Exposure to multiple air pollutants and the incidence of coronary heart disease: A fine-scale geographic analysis |
title | Exposure to multiple air pollutants and the incidence of coronary heart disease: A fine-scale geographic analysis |
title_full | Exposure to multiple air pollutants and the incidence of coronary heart disease: A fine-scale geographic analysis |
title_fullStr | Exposure to multiple air pollutants and the incidence of coronary heart disease: A fine-scale geographic analysis |
title_full_unstemmed | Exposure to multiple air pollutants and the incidence of coronary heart disease: A fine-scale geographic analysis |
title_short | Exposure to multiple air pollutants and the incidence of coronary heart disease: A fine-scale geographic analysis |
title_sort | exposure to multiple air pollutants and the incidence of coronary heart disease: a fine-scale geographic analysis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7112033/ https://www.ncbi.nlm.nih.gov/pubmed/32018947 http://dx.doi.org/10.1016/j.scitotenv.2020.136608 |
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