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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.
Afiliação
  • Corlin L; Department of Civil and Environmental Engineering, Tufts University School of Engineering, 200 College Ave, Medford, MA 02155, USA. lauracorlin25@gmail.com.
  • Ball S; Section of Preventive Medicine and Epidemiology, Boston University School of Medicine, 801 Massachusetts Avenue, Suite 470, Boston, MA 02118, USA. lauracorlin25@gmail.com.
  • Woodin M; Department of Civil and Environmental Engineering, Tufts University School of Engineering, 200 College Ave, Medford, MA 02155, USA. shannon.ball94@gmail.com.
  • Patton AP; Department of Public Health and Community Medicine, Tufts University School of Medicine, 136 Harrison Avenue, Boston, MA 02111, USA. shannon.ball94@gmail.com.
  • Lane K; Department of Civil and Environmental Engineering, Tufts University School of Engineering, 200 College Ave, Medford, MA 02155, USA. mark.woodin@tufts.edu.
  • Durant JL; Department of Public Health and Community Medicine, Tufts University School of Medicine, 136 Harrison Avenue, Boston, MA 02111, USA. mark.woodin@tufts.edu.
  • Brugge D; Department of Civil and Environmental Engineering, Tufts University School of Engineering, 200 College Ave, Medford, MA 02155, USA. apatton@healtheffects.org.
Article em En | MEDLINE | ID: mdl-30231494
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 (ß = 5.23, 95%CI: -0.68, 11.14 mmHg), PP (ß = 4.27, 95%CI: -0.79, 9.32 mmHg), and hypertension (OR = 1.81, 95%CI: 0.94, 3.48), but not DBP (ß = 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.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Pressão Sanguínea / Poluentes Atmosféricos / Poluição do Ar / Material Particulado / Hipertensão Tipo de estudo: Observational_studies / Prevalence_studies / Risk_factors_studies Limite: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged País como assunto: America do norte Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Pressão Sanguínea / Poluentes Atmosféricos / Poluição do Ar / Material Particulado / Hipertensão Tipo de estudo: Observational_studies / Prevalence_studies / Risk_factors_studies Limite: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged País como assunto: America do norte Idioma: En Ano de publicação: 2018 Tipo de documento: Article