Validation of bioelectrical impedance analysis for estimating limb lean mass in free-living Caucasian elderly people
Articolo
Data di Pubblicazione:
2017
Abstract:
Background & aims: Aging is characterized by a loss of limb lean mass (LLM) that can lead to physical
disability and death. Regional bioelectrical impedance analysis (BIA) may be a reliable method for
estimating LLM, but no prediction equations are available for elderly Caucasian subjects. The aim of this
study was to develop and validate a BIA-based equation for predicting LLM in healthy elderly Caucasians,
taking dual X-ray absorptiometry (DXA) as the reference method.
Methods: Using a cross-sectional design, 244 free-living healthy Caucasian subjects (117 men, 179
women) over 60 years of age were enrolled. LLM was measured with DXA (LLMDXA), and the resistance
(Rz) and reactance (Xc) of each limb were measured with a regional bioelectrical impedance analyzer. A
resistive index (RI) was calculated from stature in meters divided by Rz of each arm. A BIA-based multiple
regression equation for predicting the lean mass (LM) of dominant and non-dominant limbs was
developed using a double cross-validation technique.
Results: Using the sample as a whole, cross-validation resulted in an equation specific for each limb, as
follows, where sex equals 1 for males, and 0 for females: LM (kg) ¼ 0.081 þ (0.061*RI) þ (0.010*body
weight) þ (0.299*sex) for the dominant arm; LM (kg) ¼ 0.026 þ (0.014*RI) þ (0.009*body
weight) þ (0.352*sex) for the non-dominant arm; LM (kg) ¼ 0.462 þ (0.027*RI) þ (0.047*body
weight) þ (0.639*sex) þ (0.026*Xc) for the dominant leg; and for the non-dominant leg, LM
(kg) ¼ 0.522 þ (0.029*RI) þ (0.045*body weight) þ (0.569*sex) þ (0.025*Xc). The DXA-measured and
BIA-predicted LLM for each limb did not differ significantly.
Conclusion: Our newly-developed BIA equations seem to provide a valid estimation of LLM in older
Caucasian adults.
Tipologia CRIS:
01.01 Articolo in rivista
Keywords:
Body composition; Limb lean mass; Older adults; Prediction equation; Sarcopenia
Elenco autori:
Manzato, Enzo
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