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Asthma exacerbations and traffic: examining relationships using link-based traffic metrics and a comprehensive patient database
BACKGROUND: The Rochester Epidemiology Project (REP) is a unique community-based medical record data linkage system that provides individual patient address, diagnosis and visit information for all hospitalizations, as well as emergency department, urgent care and outpatient clinic visits for asthma...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5094142/ https://www.ncbi.nlm.nih.gov/pubmed/27809853 http://dx.doi.org/10.1186/s12940-016-0184-2 |
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author | Lindgren, Paula Johnson, Jean Williams, Allan Yawn, Barbara Pratt, Gregory C. |
author_facet | Lindgren, Paula Johnson, Jean Williams, Allan Yawn, Barbara Pratt, Gregory C. |
author_sort | Lindgren, Paula |
collection | PubMed |
description | BACKGROUND: The Rochester Epidemiology Project (REP) is a unique community-based medical record data linkage system that provides individual patient address, diagnosis and visit information for all hospitalizations, as well as emergency department, urgent care and outpatient clinic visits for asthma. Proximity to traffic is known to be associated with asthma exacerbations and severity. Our null hypothesis was that there is no association between residential proximity to traffic and asthma exacerbations over eleven years of REP data. METHODS: Spatial coordinates of the homes of 19,915 individuals diagnosed with asthma were extracted from the REP database. Three metrics of traffic exposure at residences were calculated from link-based traffic count data. We used exploratory statistics as well as logistic and Poisson regression to examine associations between three traffic metrics at the home address and asthma exacerbations. RESULTS: Asthma exacerbations increased as traffic levels near the home increased. Proximity to traffic was a significant predictor of asthma exacerbations in logistic and Poisson regressions controlling for age, gender and block group poverty. CONCLUSIONS: Over eleven years in a comprehensive county-wide data set of asthma patients, and after controlling for demographic effects, we found evidence that living in proximity to traffic increased the risk of asthma exacerbations. |
format | Online Article Text |
id | pubmed-5094142 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-50941422016-11-07 Asthma exacerbations and traffic: examining relationships using link-based traffic metrics and a comprehensive patient database Lindgren, Paula Johnson, Jean Williams, Allan Yawn, Barbara Pratt, Gregory C. Environ Health Research BACKGROUND: The Rochester Epidemiology Project (REP) is a unique community-based medical record data linkage system that provides individual patient address, diagnosis and visit information for all hospitalizations, as well as emergency department, urgent care and outpatient clinic visits for asthma. Proximity to traffic is known to be associated with asthma exacerbations and severity. Our null hypothesis was that there is no association between residential proximity to traffic and asthma exacerbations over eleven years of REP data. METHODS: Spatial coordinates of the homes of 19,915 individuals diagnosed with asthma were extracted from the REP database. Three metrics of traffic exposure at residences were calculated from link-based traffic count data. We used exploratory statistics as well as logistic and Poisson regression to examine associations between three traffic metrics at the home address and asthma exacerbations. RESULTS: Asthma exacerbations increased as traffic levels near the home increased. Proximity to traffic was a significant predictor of asthma exacerbations in logistic and Poisson regressions controlling for age, gender and block group poverty. CONCLUSIONS: Over eleven years in a comprehensive county-wide data set of asthma patients, and after controlling for demographic effects, we found evidence that living in proximity to traffic increased the risk of asthma exacerbations. BioMed Central 2016-11-03 /pmc/articles/PMC5094142/ /pubmed/27809853 http://dx.doi.org/10.1186/s12940-016-0184-2 Text en © The Author(s). 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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. |
spellingShingle | Research Lindgren, Paula Johnson, Jean Williams, Allan Yawn, Barbara Pratt, Gregory C. Asthma exacerbations and traffic: examining relationships using link-based traffic metrics and a comprehensive patient database |
title | Asthma exacerbations and traffic: examining relationships using link-based traffic metrics and a comprehensive patient database |
title_full | Asthma exacerbations and traffic: examining relationships using link-based traffic metrics and a comprehensive patient database |
title_fullStr | Asthma exacerbations and traffic: examining relationships using link-based traffic metrics and a comprehensive patient database |
title_full_unstemmed | Asthma exacerbations and traffic: examining relationships using link-based traffic metrics and a comprehensive patient database |
title_short | Asthma exacerbations and traffic: examining relationships using link-based traffic metrics and a comprehensive patient database |
title_sort | asthma exacerbations and traffic: examining relationships using link-based traffic metrics and a comprehensive patient database |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5094142/ https://www.ncbi.nlm.nih.gov/pubmed/27809853 http://dx.doi.org/10.1186/s12940-016-0184-2 |
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