Assessing appendicular skeletal muscle mass with bioelectrical impedance analysis in free-living Caucasian older adults
Articolo
Data di Pubblicazione:
2014
Abstract:
Background & aims: Aging is characterized by a loss of appendicular skeletal muscle mass (ASMM)
leading to physical disability and death. Bioelectrical impedance analysis (BIA) is reliable in estimating
ASMM but no prediction equations are available for elderly Caucasian subjects. The aim of the study was
to develop and validate an equation derived from bioelectrical impedance analysis (BIA) to predict
appendicular skeletal muscle mass (ASMM) in healthy Caucasian elderly subjects, taking dual X-ray
absorptiometry (DXA) as the reference method, and comparing the reliability of the new equation with
another BIA-based model developed by Kyle et al. (Kyle UG, Genton L, Hans D, Pichard C, 2003).
Methods: With a cross-sectional design, 296 free-living, healthy Caucasian subjects (117 men, 179
women) over 60 years of age were enrolled. Lean mass of limbs was measured with DXA to ascertain
ASMM (ASMMDxA). Whole-body tetrapolar BIA was performed to measure resistance (Rz), resistance
normalized for stature (RI), and reactance (Xc). The BIA multiple regression equation for predicting
ASMM was developed using a double cross-validation technique. The predicted ASMM values were
compared with ASMMKyle, i.e. ASMM estimates derived from the model developed by Kyle et al. (Kyle
et al., 2003).
Results: Cross-validation resulted in a unique equation using the whole sample: ASMM
(kg) ¼ 3.964 þ (0.227*RI) þ (0.095*weight) þ (1.384*sex) þ (0.064*Xc) [R2 ¼ 0.92 and SEE ¼ 1.14 kg]. In
our sample, ASMMKyle differed significantly from the ASMMDxA (p < 0.0001), with a mean error
of 0.97 ± 1.34 kg (5.1 ± 6.9%). Unlike the present BIA prediction equation, the Kyle et al. model showed a
correlation between the bias and the mean of ASMMDxA and ASMMKyle (r ¼ 0.406, p < 0.001).
Conclusion: The new BIA equation provides a valid estimate of ASMM in older Caucasian adults.
Tipologia CRIS:
01.01 Articolo in rivista
Keywords:
Body composition; Limbs lean mass; Older adults; Prediction equation; Sarcopenia
Elenco autori:
Manzato, Enzo
Link alla scheda completa:
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