Validity of bioimpedance for the assessment of total body and segmental fat-free mass in older men and women and a comparison of methods used to classify sarcopenia
Year: 2009
Type: article
Study design: Observational Study
Abstract: The purpose of the current investigation was to evaluate the validity of several total body fat-free mass (FFM), muscle mass (TBMM), water (TBW), and appendicular lean mass (ALM) equations in older adults compared to a criterion four-compartment (4C) model and dual-energy X-ray absorptiometry (DXA). Additionally, this investigation examined two body composition-based methods for the classification of sarcopenia. Seventy-four healthy older men (n = 32) and women (n = 42) participated in the investigation (mean ± SD, age = 72 ± 6 years, height =167.5 ± 8.5 cm, mass = 69.49 ± 12.71 kg). Body composition was assessed using bioimpedance analysis (BIA/MFBIA) and spectroscopy (BIS) and compared to a 4C model and DXA. Additionally, relative skeletal muscle index (RSMI) and skeletal muscle index (SMI) were calculated using DXA and BIA, respectively. In both men and women, TBW methods produced low SEE values (< 1.57 kg) and high r values (> 0.92), but meandifferences were observed (> -2.01 L) compared to deuterium oxide. A BIS-estimated TBW two-compartment model produced low SEE values (< 2.17 kg) and high r values (> 0.88), but mean differences were observed (> -3.71 kg) compared to the 4C model. BIS TBMM equations resulted in low SEE values (< 2.28 kg) and high r values (> 0.79), but mean differences were observed (> -0.68 kg) in all but one equation for men and women combined, and one for the women alone compared to DXA muscle mass values. Equations for ALM estimated via BIS resulted in low SEE values (< 2.07 kg) and high r values (> 0.69), but mean differences were observed (> -1.20 kg) compared to DXA lean mass values. A MFBIA device produced low SEE values (< 2.14 kg) and high r values (> 0.77), but mean
Author: Jordan R. Moon
Language: English
Subfield: Physiology (medical)
Field: Medicine
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W2271519505