Association of Long-Term Near-Highway Exposure to Ultrafine Particles with Cardiovascular Diseases, Diabetes and Hypertension

Yu Li, Kevin J. Lane, Laura Corlin, Allison P. Patton, John L. Durant, Mohan Thanikachalam, Mark Woodin, Molin Wang and Doug Brugge
Additional contact information
Yu Li: Department of Rheumatology, Allergy and Immunology, Massachusetts General Hospital, Boston, MA 02114, USA
Kevin J. Lane: Yale School of Forestry and Environmental Studies, Yale University, New Haven, CT 06511, USA
Laura Corlin: Department of Civil and Environmental Engineering, Tufts University, Medford, MA 02155, USA
Allison P. Patton: Department of Civil and Environmental Engineering, Tufts University, Medford, MA 02155, USA
John L. Durant: Department of Civil and Environmental Engineering, Tufts University, Medford, MA 02155, USA
Mohan Thanikachalam: Department of Public Health and Community Medicine, Tufts University School of Medicine, Boston, MA 02111, USA
Mark Woodin: Department of Civil and Environmental Engineering, Tufts University, Medford, MA 02155, USA
Molin Wang: Channing Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA 02115, USA
Doug Brugge: Department of Civil and Environmental Engineering, Tufts University, Medford, MA 02155, USA

IJERPH, 2017, vol. 14, issue 5, 1-16

Abstract: Ultrafine particle (UFP) concentrations are elevated near busy roadways, however, their effects on prevalence of cardiovascular diseases, diabetes, and hypertension are not well understood. To investigate these associations, data on demographics, diseases, medication use, and time of activities were collected by in-home surveys for 704 participants in three pairs of near-highway and urban background neighborhoods in and near Boston (MA, USA). Body mass index (BMI) was measured for a subset of 435 participants. Particle number concentration (PNC, a measure of UFP) was collected by mobile monitoring in each area. Intra-neighborhood spatial-temporal regression models (approximately 20 m resolution) were used to estimate hourly ambient PNC at the residences of participants. We used participant time activity information to adjust annual average residential PNC values and assign individualized time activity adjusted annual average PNC exposures (TAA-PNC). Using multivariate logistic regression models, we found an odds ratio (OR) of 1.35 (95% CI: 0.83, 2.22) of TAA-PNC with stroke and ischemic heart diseases (S/IHD), an OR of 1.14 (95% CI: 0.81, 1.62) with hypertension, and an OR of 0.71 (95% CI: 0.46, 1.10) for diabetes. A subset analysis controlling for BMI produced slightly stronger associations for S/IHD (OR = 1.61, 95% CI: 0.88, 2.92) and hypertension (OR = 1.28, 95% CI: 0.81, 2.02), and no association with diabetes (OR = 1.09, 95% CI = 0.61, 1.96). Further research is needed with larger sample sizes and longitudinal follow-up.

Keywords: ultrafine particles; ischemic heart disease; diabetes; hypertension; time-activity adjusted particle number concentration (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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