Giuseppe Sergi1, Marina De Rui2, Nicola Veronese1, Francesco Bolzetta1, Linda Berton1, Sara Carraro1, Giulia Bano1, Alessandra Coin1, Enzo Manzato3, Egle Perissinotto4. 1. Department of Medicine - DIMED, Geriatrics Division, University of Padova, Padova, Italy. 2. Department of Medicine - DIMED, Geriatrics Division, University of Padova, Padova, Italy. Electronic address: marinaderui@gmail.com. 3. Department of Medicine - DIMED, Geriatrics Division, University of Padova, Padova, Italy; National Research Council, Aging Branch, Institute of Neuroscience, Padova, Italy. 4. Department of Cardiac, Thoracic and Vascular Sciences, Biostatistics, Epidemiology and Public Health Unit, University of Padova, Padova, Italy.
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) = -3.964 + (0.227*RI) + (0.095*weight) + (1.384*sex) + (0.064*Xc) [R(2) = 0.92 and SEE = 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 = -0.406, p < 0.001). CONCLUSION: The new BIA equation provides a valid estimate of ASMM in older Caucasian adults.
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) = -3.964 + (0.227*RI) + (0.095*weight) + (1.384*sex) + (0.064*Xc) [R(2) = 0.92 and SEE = 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 = -0.406, p < 0.001). CONCLUSION: The new BIA equation provides a valid estimate of ASMM in older Caucasian adults.
Authors: Erick P de Oliveira; Laura Cristina Jardim Porto; Lara Vilar Fernandes; Alexandre Elias Gomes Paiva; Ana Clara Borges Silva; Isabela Coelho de Castro; Andrezza Fernanda Santiago Journal: Aging Clin Exp Res Date: 2021-08-16 Impact factor: 3.636
Authors: M A Minetto; C Caresio; M Salvi; V D'Angelo; N E Gorji; F Molinari; G Arnaldi; S Kesari; E Arvat Journal: J Endocrinol Invest Date: 2018-11-15 Impact factor: 4.256