Literature DB >> 21508715

The prevalence of asymptomatic and symptomatic peripheral arterial disease and peripheral arterial disease risk factors in the U.S. population.

Judith Aponte1.   

Abstract

The National Health and Nutrition Examination Survey 2003 to 2004 data set was utilized to examine trends and differences of individuals with asymptomatic and symptomatic peripheral arterial disease (PAD) and PAD risk factor variables, determined by Ankle-Brachial Index measurement. A descriptive secondary data analysis was conducted by using the variables age, gender, hypertension (ie, systolic blood pressure and diastolic blood pressure), dyslipidemia (ie, high-density lipoprotein and low-density lipoprotein), diabetes, and cigarette smoking.

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Year:  2011        PMID: 21508715     DOI: 10.1097/HNP.0b013e3182157c4a

Source DB:  PubMed          Journal:  Holist Nurs Pract        ISSN: 0887-9311            Impact factor:   1.000


  5 in total

Review 1.  Peripheral arterial disease and chronic heart failure: a dangerous mix.

Authors:  Sally C Inglis; Adriana Hermis; Sajad Shehab; Phillip J Newton; Sara Lal; Patricia M Davidson
Journal:  Heart Fail Rev       Date:  2013-07       Impact factor: 4.214

2.  Symptomatic and asymptomatic peripheral artery disease and the risk of abdominal aortic aneurysm: The Atherosclerosis Risk in Communities (ARIC) study.

Authors:  Caitlin W Hicks; Ada Al-Qunaibet; Ning Ding; Lucia Kwak; Aaron R Folsom; Hirofumi Tanaka; Thomas Mosley; Lynne E Wagenknecht; Weihong Tang; Gerardo Heiss; Kunihiro Matsushita
Journal:  Atherosclerosis       Date:  2021-08-14       Impact factor: 6.847

3.  Facilitators and barriers to implementation of the ankle brachial index in outpatient physical therapy practice: a qualitative study.

Authors:  Kristin M Lefebvre; Crystal Cody; Erika Jayne; Jennifer Mason; Rebecca Monaghan; Kerstin Palombaro
Journal:  Cardiopulm Phys Ther J       Date:  2013-03

4.  Use of the ankle-brachial index combined with the percentage of mean arterial pressure at the ankle to improve prediction of all-cause mortality in type 2 diabetes mellitus: an observational study.

Authors:  Yu-Hsuan Li; Wayne Huey-Herng Sheu; I-Te Lee
Journal:  Cardiovasc Diabetol       Date:  2020-10-09       Impact factor: 9.951

5.  Activity data from wearables as an indicator of functional capacity in patients with cardiovascular disease.

Authors:  Neil Rens; Neil Gandhi; Jonathan Mak; Jeddeo Paul; Drew Bent; Stephanie Liu; Dasha Savage; Helle Nielsen-Bowles; Doran Triggs; Ghausia Ata; Julia Talgo; Santiago Gutierrez; Oliver Aalami
Journal:  PLoS One       Date:  2021-03-24       Impact factor: 3.240

  5 in total

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