Loading…

Phase angle measured by electrical bioimpedance and global cardiovascular risk in older adults

Aim Population aging is a worldwide phenomenon associated with physiological and metabolic changes that contribute to the increased prevalence of risk factors for cardiovascular disease. The phase angle (PA) is a variable calculated by bioelectrical impedance analysis, interpreted as a direct measur...

Full description

Saved in:
Bibliographic Details
Published in:Geriatrics & gerontology international 2018-05, Vol.18 (5), p.732-737
Main Authors: Saad, Maria AN, Jorge, Antonio JL, de Andrade Martins, Wolney, Cardoso, Gilberto P, dos Santos, Marcia MS, Rosa, Maria LG, Lima, Giovanna AB, de Moraes, Rafaela Q, da Cruz Filho, Rubens A
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Aim Population aging is a worldwide phenomenon associated with physiological and metabolic changes that contribute to the increased prevalence of risk factors for cardiovascular disease. The phase angle (PA) is a variable calculated by bioelectrical impedance analysis, interpreted as a direct measure of cell stability. The objective of the present study was to investigate the correlation of PA with the anthropometric measures, metabolic profile and the cardiovascular risk estimated by the Global Cardiovascular Risk Score in the elderly population. Methods A cross‐sectional study was carried out with 402 patients aged >60 years (70.4 ± 6.9 years, 74% female) treated in primary care. Patients were evaluated by blood pressure, anthropometric measurements and body composition. The score of the risk and the stratification of the cardiovascular risk were calculated using the criteria from the Framingham Heart Study. Results Age, systolic blood pressure, neck circumference and fat‐free mass correlated with PA in female patients. In men, age and systolic blood pressure were the variables that correlated with the PA in the bivariate analysis. In the multiple linear regression, for the female group the risk score presented an independent variation with PA (P = 0.051) and age (P
ISSN:1444-1586
1447-0594
DOI:10.1111/ggi.13241