↓ Skip to main content

Regional pulse wave velocities and their cardiovascular risk factors among healthy middle-aged men: a cross-sectional population-based study

Overview of attention for article published in BMC Cardiovascular Disorders, January 2014
Altmetric Badge

Citations

dimensions_citation
54 Dimensions

Readers on

mendeley
66 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Regional pulse wave velocities and their cardiovascular risk factors among healthy middle-aged men: a cross-sectional population-based study
Published in
BMC Cardiovascular Disorders, January 2014
DOI 10.1186/1471-2261-14-5
Pubmed ID
Authors

Jina Choo, Chol Shin, Emma Barinas-Mitchell, Kamal Masaki, Bradley J Willcox, Todd B Seto, Hirotsugu Ueshima, Sunghee Lee, Katsuyuki Miura, Lakshmi Venkitachalam, Rachel H Mackey, Rhobert W Evans, Lewis H Kuller, Kim Sutton-Tyrrell, Akira Sekikawa

Abstract

Both carotid-femoral (cf) pulse wave velocity (PWV) and brachial-ankle (ba) PWV employ arterial sites that are not consistent with the path of blood flow. Few previous studies have reported the differential characteristics between cfPWV and baPWV by simultaneously comparing these with measures of pure central (aorta) and peripheral (leg) arterial stiffness, i.e., heart-femoral (hf) PWV and femoral-ankle (fa) PWV in healthy populations. We aimed to identify the degree to which these commonly used measures of cfPWV and baPWV correlate with hfPWV and faPWV, respectively, and to evaluate whether both cfPWV and baPWV are consistent with either hfPWV or faPWV in their associations with cardiovascular (CV) risk factors.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 1 2%
Unknown 65 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 17%
Researcher 11 17%
Student > Master 10 15%
Student > Doctoral Student 6 9%
Student > Bachelor 4 6%
Other 11 17%
Unknown 13 20%
Readers by discipline Count As %
Medicine and Dentistry 18 27%
Engineering 8 12%
Nursing and Health Professions 7 11%
Sports and Recreations 4 6%
Agricultural and Biological Sciences 2 3%
Other 8 12%
Unknown 19 29%