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Estimating the Causal Impact of Proximity to Gold and Copper Mines on Respiratory Diseases in Chilean Children: An Application of Targeted Maximum Likelihood Estimation
In a town located in a desert area of Northern Chile, gold and copper open-pit mining is carried out involving explosive processes. These processes are associated with increased dust exposure, which might affect children’s respiratory health. Therefore, we aimed to quantify the causal attributable r...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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MDPI
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5800138/ https://www.ncbi.nlm.nih.gov/pubmed/29280971 http://dx.doi.org/10.3390/ijerph15010039 |
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author | Herrera, Ronald Berger, Ursula von Ehrenstein, Ondine S. Díaz, Iván Huber, Stella Moraga Muñoz, Daniel Radon, Katja |
author_facet | Herrera, Ronald Berger, Ursula von Ehrenstein, Ondine S. Díaz, Iván Huber, Stella Moraga Muñoz, Daniel Radon, Katja |
author_sort | Herrera, Ronald |
collection | PubMed |
description | In a town located in a desert area of Northern Chile, gold and copper open-pit mining is carried out involving explosive processes. These processes are associated with increased dust exposure, which might affect children’s respiratory health. Therefore, we aimed to quantify the causal attributable risk of living close to the mines on asthma or allergic rhinoconjunctivitis risk burden in children. Data on the prevalence of respiratory diseases and potential confounders were available from a cross-sectional survey carried out in 2009 among 288 (response: [Formula: see text]) children living in the community. The proximity of the children’s home addresses to the local gold and copper mine was calculated using geographical positioning systems. We applied targeted maximum likelihood estimation to obtain the causal attributable risk (CAR) for asthma, rhinoconjunctivitis and both outcomes combined. Children living more than the first quartile away from the mines were used as the unexposed group. Based on the estimated CAR, a hypothetical intervention in which all children lived at least one quartile away from the copper mine would decrease the risk of rhinoconjunctivitis by [Formula: see text] percentage points (CAR: [Formula: see text]; [Formula: see text] confidence interval ([Formula: see text] CI): [Formula: see text]; [Formula: see text]); and [Formula: see text] percentage points (CAR: [Formula: see text]; [Formula: see text] CI: [Formula: see text]; [Formula: see text]) for both outcomes combined. Overall, our results suggest that a hypothetical intervention intended to increase the distance between the place of residence of the highest exposed children would reduce the prevalence of respiratory disease in the community by around four percentage points. This approach could help local policymakers in the development of efficient public health strategies. |
format | Online Article Text |
id | pubmed-5800138 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-58001382018-02-06 Estimating the Causal Impact of Proximity to Gold and Copper Mines on Respiratory Diseases in Chilean Children: An Application of Targeted Maximum Likelihood Estimation Herrera, Ronald Berger, Ursula von Ehrenstein, Ondine S. Díaz, Iván Huber, Stella Moraga Muñoz, Daniel Radon, Katja Int J Environ Res Public Health Article In a town located in a desert area of Northern Chile, gold and copper open-pit mining is carried out involving explosive processes. These processes are associated with increased dust exposure, which might affect children’s respiratory health. Therefore, we aimed to quantify the causal attributable risk of living close to the mines on asthma or allergic rhinoconjunctivitis risk burden in children. Data on the prevalence of respiratory diseases and potential confounders were available from a cross-sectional survey carried out in 2009 among 288 (response: [Formula: see text]) children living in the community. The proximity of the children’s home addresses to the local gold and copper mine was calculated using geographical positioning systems. We applied targeted maximum likelihood estimation to obtain the causal attributable risk (CAR) for asthma, rhinoconjunctivitis and both outcomes combined. Children living more than the first quartile away from the mines were used as the unexposed group. Based on the estimated CAR, a hypothetical intervention in which all children lived at least one quartile away from the copper mine would decrease the risk of rhinoconjunctivitis by [Formula: see text] percentage points (CAR: [Formula: see text]; [Formula: see text] confidence interval ([Formula: see text] CI): [Formula: see text]; [Formula: see text]); and [Formula: see text] percentage points (CAR: [Formula: see text]; [Formula: see text] CI: [Formula: see text]; [Formula: see text]) for both outcomes combined. Overall, our results suggest that a hypothetical intervention intended to increase the distance between the place of residence of the highest exposed children would reduce the prevalence of respiratory disease in the community by around four percentage points. This approach could help local policymakers in the development of efficient public health strategies. MDPI 2017-12-27 2018-01 /pmc/articles/PMC5800138/ /pubmed/29280971 http://dx.doi.org/10.3390/ijerph15010039 Text en © 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Herrera, Ronald Berger, Ursula von Ehrenstein, Ondine S. Díaz, Iván Huber, Stella Moraga Muñoz, Daniel Radon, Katja Estimating the Causal Impact of Proximity to Gold and Copper Mines on Respiratory Diseases in Chilean Children: An Application of Targeted Maximum Likelihood Estimation |
title | Estimating the Causal Impact of Proximity to Gold and Copper Mines on Respiratory Diseases in Chilean Children: An Application of Targeted Maximum Likelihood Estimation |
title_full | Estimating the Causal Impact of Proximity to Gold and Copper Mines on Respiratory Diseases in Chilean Children: An Application of Targeted Maximum Likelihood Estimation |
title_fullStr | Estimating the Causal Impact of Proximity to Gold and Copper Mines on Respiratory Diseases in Chilean Children: An Application of Targeted Maximum Likelihood Estimation |
title_full_unstemmed | Estimating the Causal Impact of Proximity to Gold and Copper Mines on Respiratory Diseases in Chilean Children: An Application of Targeted Maximum Likelihood Estimation |
title_short | Estimating the Causal Impact of Proximity to Gold and Copper Mines on Respiratory Diseases in Chilean Children: An Application of Targeted Maximum Likelihood Estimation |
title_sort | estimating the causal impact of proximity to gold and copper mines on respiratory diseases in chilean children: an application of targeted maximum likelihood estimation |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5800138/ https://www.ncbi.nlm.nih.gov/pubmed/29280971 http://dx.doi.org/10.3390/ijerph15010039 |
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