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Open AccessArticle

Relationship of Time-Activity-Adjusted Particle Number Concentration with Blood Pressure

1
Department of Civil and Environmental Engineering, Tufts University School of Engineering, 200 College Ave, Medford, MA 02155, USA
2
Section of Preventive Medicine and Epidemiology, Boston University School of Medicine, 801 Massachusetts Avenue, Suite 470, Boston, MA 02118, USA
3
Department of Public Health and Community Medicine, Tufts University School of Medicine, 136 Harrison Avenue, Boston, MA 02111, USA
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Health Effects Institute, 75 Federal Street, Suite 1400, Boston, MA 02110, USA
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Department of Environmental Health, Boston University School of Public Health, 715 Albany St, Boston, MA 02118, USA
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Tufts University Jonathan M. Tisch College of Civic Life, 35 Professors Row, Medford, MA 02155, USA
*
Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2018, 15(9), 2036; https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph15092036
Received: 22 August 2018 / Revised: 8 September 2018 / Accepted: 13 September 2018 / Published: 18 September 2018
(This article belongs to the Special Issue Transportation-Related Air Pollution and Human Health)
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/cm3 (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. View Full-Text
Keywords: particle number concentration; ultrafine particulate matter; time-activity adjustment; blood pressure; hypertension; traffic-related air pollution; directed acyclic graph particle number concentration; ultrafine particulate matter; time-activity adjustment; blood pressure; hypertension; traffic-related air pollution; directed acyclic graph
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MDPI and ACS Style

Corlin, L.; Ball, S.; Woodin, M.; Patton, A.P.; Lane, K.; Durant, J.L.; Brugge, D. Relationship of Time-Activity-Adjusted Particle Number Concentration with Blood Pressure. Int. J. Environ. Res. Public Health 2018, 15, 2036. https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph15092036

AMA Style

Corlin L, Ball S, Woodin M, Patton AP, Lane K, Durant JL, Brugge D. Relationship of Time-Activity-Adjusted Particle Number Concentration with Blood Pressure. International Journal of Environmental Research and Public Health. 2018; 15(9):2036. https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph15092036

Chicago/Turabian Style

Corlin, Laura; Ball, Shannon; Woodin, Mark; Patton, Allison P.; Lane, Kevin; Durant, John L.; Brugge, Doug. 2018. "Relationship of Time-Activity-Adjusted Particle Number Concentration with Blood Pressure" Int. J. Environ. Res. Public Health 15, no. 9: 2036. https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph15092036

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