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Relationship of Time-Activity-Adjusted Particle Number Concentration with Blood Pressure
Emerging evidence suggests long-term exposure to ultrafine particulate matter (UFP, aerodynamic diameter < 0.1 µm) is associated with adverse cardiovascular outcomes. We investigated whether annual average UFP exposure was associated with measured systolic blood pressure (SBP), diastolic blood pr...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6165221/ https://www.ncbi.nlm.nih.gov/pubmed/30231494 http://dx.doi.org/10.3390/ijerph15092036 |
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author | Corlin, Laura Ball, Shannon Woodin, Mark Patton, Allison P. Lane, Kevin Durant, John L. Brugge, Doug |
author_facet | Corlin, Laura Ball, Shannon Woodin, Mark Patton, Allison P. Lane, Kevin Durant, John L. Brugge, Doug |
author_sort | Corlin, Laura |
collection | PubMed |
description | Emerging evidence suggests long-term exposure to ultrafine particulate matter (UFP, aerodynamic diameter < 0.1 µm) is associated with adverse cardiovascular outcomes. We investigated whether annual average UFP exposure was associated with measured systolic blood pressure (SBP), diastolic blood pressure (DBP), pulse pressure (PP), and hypertension prevalence among 409 adults participating in the cross-sectional Community Assessment of Freeway Exposure and Health (CAFEH) study. We used measurements of particle number concentration (PNC, a proxy for UFP) obtained from mobile monitoring campaigns in three near-highway and three urban background areas in and near Boston, Massachusetts to develop PNC regression models (20-m spatial and hourly temporal resolution). Individual modeled estimates were adjusted for time spent in different micro-environments (time-activity-adjusted PNC, TAA-PNC). Mean TAA-PNC was 22,000 particles/cm(3) (sd = 6500). In linear models (logistic for hypertension) adjusted for the minimally sufficient set of covariates indicated by a directed acyclic graph (DAG), we found positive, non-significant associations between natural log-transformed TAA-PNC and SBP (β = 5.23, 95%CI: −0.68, 11.14 mmHg), PP (β = 4.27, 95%CI: −0.79, 9.32 mmHg), and hypertension (OR = 1.81, 95%CI: 0.94, 3.48), but not DBP (β = 0.96, 95%CI: −2.08, 4.00 mmHg). Associations were stronger among non-Hispanic white participants and among diabetics in analyses stratified by race/ethnicity and, separately, by health status. |
format | Online Article Text |
id | pubmed-6165221 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-61652212018-10-12 Relationship of Time-Activity-Adjusted Particle Number Concentration with Blood Pressure Corlin, Laura Ball, Shannon Woodin, Mark Patton, Allison P. Lane, Kevin Durant, John L. Brugge, Doug Int J Environ Res Public Health Article Emerging evidence suggests long-term exposure to ultrafine particulate matter (UFP, aerodynamic diameter < 0.1 µm) is associated with adverse cardiovascular outcomes. We investigated whether annual average UFP exposure was associated with measured systolic blood pressure (SBP), diastolic blood pressure (DBP), pulse pressure (PP), and hypertension prevalence among 409 adults participating in the cross-sectional Community Assessment of Freeway Exposure and Health (CAFEH) study. We used measurements of particle number concentration (PNC, a proxy for UFP) obtained from mobile monitoring campaigns in three near-highway and three urban background areas in and near Boston, Massachusetts to develop PNC regression models (20-m spatial and hourly temporal resolution). Individual modeled estimates were adjusted for time spent in different micro-environments (time-activity-adjusted PNC, TAA-PNC). Mean TAA-PNC was 22,000 particles/cm(3) (sd = 6500). In linear models (logistic for hypertension) adjusted for the minimally sufficient set of covariates indicated by a directed acyclic graph (DAG), we found positive, non-significant associations between natural log-transformed TAA-PNC and SBP (β = 5.23, 95%CI: −0.68, 11.14 mmHg), PP (β = 4.27, 95%CI: −0.79, 9.32 mmHg), and hypertension (OR = 1.81, 95%CI: 0.94, 3.48), but not DBP (β = 0.96, 95%CI: −2.08, 4.00 mmHg). Associations were stronger among non-Hispanic white participants and among diabetics in analyses stratified by race/ethnicity and, separately, by health status. MDPI 2018-09-18 2018-09 /pmc/articles/PMC6165221/ /pubmed/30231494 http://dx.doi.org/10.3390/ijerph15092036 Text en © 2018 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 Corlin, Laura Ball, Shannon Woodin, Mark Patton, Allison P. Lane, Kevin Durant, John L. Brugge, Doug Relationship of Time-Activity-Adjusted Particle Number Concentration with Blood Pressure |
title | Relationship of Time-Activity-Adjusted Particle Number Concentration with Blood Pressure |
title_full | Relationship of Time-Activity-Adjusted Particle Number Concentration with Blood Pressure |
title_fullStr | Relationship of Time-Activity-Adjusted Particle Number Concentration with Blood Pressure |
title_full_unstemmed | Relationship of Time-Activity-Adjusted Particle Number Concentration with Blood Pressure |
title_short | Relationship of Time-Activity-Adjusted Particle Number Concentration with Blood Pressure |
title_sort | relationship of time-activity-adjusted particle number concentration with blood pressure |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6165221/ https://www.ncbi.nlm.nih.gov/pubmed/30231494 http://dx.doi.org/10.3390/ijerph15092036 |
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