Literature DB >> 23388666

Accuracy of segmental multi-frequency bioelectrical impedance analysis for assessing whole-body and appendicular fat mass and lean soft tissue mass in frail women aged 75 years and older.

M Kim1, H Kim.   

Abstract

BACKGROUND/
OBJECTIVE: We aimed to examine the accuracy of segmental multi-frequency bioelectrical impedance analysis (SMF-BIA) for the assessment of whole-body and appendicular fat mass (FM) and lean soft tissue mass (LM) in frail older women, using dual-energy X-ray absorptiometry (DXA) as a reference method. SUBJECTS/
METHODS: All 129 community-dwelling Japanese frail older women with a mean age of 80.9 years (range, 75-89 years) from the Frailty Intervention Trial were recruited. The agreements between SMF-BIA and DXA for whole-body and appendicular body composition were assessed using simple linear regression and Bland-Altman analysis.
RESULTS: High coefficients of determination (R(2)) for whole-body FM (R(2)=0.94, s.e. of estimate (SEE)=1.2 kg), whole-body LM (R(2)=0.85, SEE=1.4 kg), and appendicular FM (R(2)=0.82, SEE=1.1 kg) were observed between SMF-BIA and DXA. The R(2) coefficient for appendicular LM was moderate (R(2)=0.76, SEE=0.8 kg). Bland-Altman plots demonstrated that there was systematic (constant) bias (that is, DXA minus SMF-BIA) with overestimation of whole-body FM (bias=-1.2 kg, 95% confidence interval (CI)=-1.5 to -0.1) and underestimation of whole-body LM (bias=2.1 kg, 95% CI=1.8-2.3) by SMF-BIA. Similar, the appendicular measurements also demonstrated systematic bias with overestimation of appendicular FM (bias=-0.3 kg, 95% CI=-0.5 to -0.1) and underestimation of whole-body LM (bias=1.5 kg, 95% CI=1.4-1.7) by SMF-BIA. In addition, the individual level accuracy demonstrated a non-proportional bias for whole-body LM (r=0.08, P=0.338) and appendicular FM (r=0.07, P=0.413).
CONCLUSIONS: SMF-BIA had acceptable accuracy for the estimation of whole-body and appendicular FM and LM in frail older women, although SMF-BIA underestimated LM and overestimated FM relative to DXA.

Entities:  

Mesh:

Year:  2013        PMID: 23388666     DOI: 10.1038/ejcn.2013.9

Source DB:  PubMed          Journal:  Eur J Clin Nutr        ISSN: 0954-3007            Impact factor:   4.016


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