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

Bibliographic Data

ID15459352
AuthorsLaura Corlin (0000-0002-3348-9063, Boston University, corresponding author), Shannon Ball (0000-0001-8306-3493, Tufts University), Mark Woodin (Tufts University), Allison P Patton (0000-0002-8334-3580, Tufts University), Kevin J Lane (0000-0002-1038-6811, Boston University), Kevin Lane (0000-0001-6109-7799, Department of Environmental Health, Boston University School of Public Health, 715 Albany St, Boston, MA 02118, USA), John L Durant (0000-0002-7016-1622, Tufts University), Doug Brugge (0000-0002-6812-2720, Tufts University)
Year2018
Volume15
Issue9
Pages2036-2036
Publication date2018-09-18
Open AccessYes
TypeARTICLE
VenueInternational Journal of Environmental Research and Public Health (JOURNAL)
Journal identifiersISSN: 1661-7827 • E-ISSN: 1660-4601
PublisherMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph15092036
PMID30231494
OpenAlexW2891351754
LanguageEN
Citations received1
References cited114

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

Blood pressure · Logistic regression · Pulse wave velocity · Air Quality and Health Impacts · Climate Change and Health Impacts · Demography · Medicine · Urban Transport and Accessibility · Internal Medicine

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Citations per year0.2
Citation span2021 - 2021 (1)
Highly citedNo

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