Long-term exposure to particulate air pollution and brachial artery flow-mediated dilation in the Old Order Amish

Background Atmospheric particulate matter (PM) has been associated with endothelial dysfunction, an early marker of cardiovascular risk. Our aim was to extend this research to a genetically homogenous, geographically stable rural population using location-specific moving-average air pollution exposu...

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Bibliographic Details
Published in:	Environmental health Vol. 19; no. 1; pp. 50 - 9
Main Authors:	Salimi, Shabnam, Yanosky, Jeff D., Huang, Dina, Montressor-Lopez, Jessica, Vogel, Robert, Reed, Robert M., Mitchell, Braxton D., Puett, Robin C.
Format:	Journal Article
Language:	English
Published:	London BioMed Central 14.05.2020 BioMed Central Ltd Springer Nature B.V BMC
Subjects:	Adult Age Aged Aged, 80 and over Air Pollutants - adverse effects Air pollution Amish Amish - statistics & numerical data Analysis Associations Atherosclerosis Atmospheric models Bayesian analysis Blood pressure Brachial Artery - drug effects Brachial Artery - physiology Cardiovascular diseases Dilation Earth and Environmental Science Endothelial function, Cardiovascular disease Endothelium Environment Environmental Epidemiology Environmental Exposure - adverse effects Environmental Health Estimates Exposure Female Geographic information systems Health risks Heart Humans Hypertension Male Mathematical models Measurement methods Middle Aged Nitric oxide Occupational Medicine/Industrial Medicine Oxidative stress Particulate emissions Particulate matter Particulate Matter - adverse effects Pennsylvania Pollution index Polynomials Population Public Health Regional Blood Flow Regression analysis Regression models Remote sensing Risk factors Rural Population - statistics & numerical data Rural populations Seasons Shear stress Smoking Studies Ultrasonic imaging Veins & arteries Velocity Viscosity Young Adult Pennsylvania Endothelial function, Cardiovascular disease Air pollution Particulate matter
ISSN:	1476-069X, 1476-069X
Online Access:	Get full text
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