Sergi Giuseppe, De Rui Marina, Veronese Nicola, Bolzetta Francesco, Berton Linda, Carraro Sara, Bano Giulia, Coin Alessandra, Manzato Enzo, Perissinotto Egle
Department of Medicine - DIMED, Geriatrics Division, University of Padova, Padova, Italy.
Department of Medicine - DIMED, Geriatrics Division, University of Padova, Padova, Italy.
Clin Nutr. 2015 Aug;34(4):667-73. doi: 10.1016/j.clnu.2014.07.010. Epub 2014 Jul 24.
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).
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).
Cross-validation resulted in a unique equation using the whole sample: ASMM (kg) = -3.964 + (0.227RI) + (0.095weight) + (1.384sex) + (0.064Xc) [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).
The new BIA equation provides a valid estimate of ASMM in older Caucasian adults.
衰老的特征是四肢骨骼肌质量(ASMM)丧失,进而导致身体残疾和死亡。生物电阻抗分析(BIA)在估算ASMM方面是可靠的,但尚无适用于老年白种人的预测方程。本研究的目的是开发并验证一个基于生物电阻抗分析(BIA)得出的方程,以预测健康白种老年受试者的四肢骨骼肌质量(ASMM),采用双能X线吸收法(DXA)作为参考方法,并将新方程的可靠性与Kyle等人(Kyle UG,Genton L,Hans D,Pichard C,2003年)开发的另一个基于BIA的模型进行比较。
采用横断面设计,纳入了296名60岁以上自由生活的健康白种受试者(117名男性,179名女性)。用DXA测量四肢瘦体重以确定ASMM(ASMMDxA)。进行全身四极BIA以测量电阻(Rz)、身高标准化电阻(RI)和电抗(Xc)。使用双重交叉验证技术开发预测ASMM的BIA多元回归方程。将预测的ASMM值与ASMMKyle进行比较,即与Kyle等人(Kyle等人,2003年)开发的模型得出的ASMM估计值进行比较。
交叉验证得出了一个适用于整个样本的独特方程:ASMM(kg)=-3.964 +(0.227×RI)+(0.095×体重)+(1.384×性别)+(0.064×Xc)[R(2)= 0.92,标准误= 1.14 kg]。在我们的样本中,ASMMKyle与ASMMDxA有显著差异(p < 0.0001),平均误差为-0.97±1.34 kg(5.1±6.9%)。与当前的BIA预测方程不同,Kyle等人的模型显示偏差与ASMMDxA和ASMMKyle的均值之间存在相关性(r = -0.406,p < 0.001)。
新的BIA方程为老年白种成年人的ASMM提供了有效的估计。