Yohei Takai, Assistant Professor, Ph. D. National Institute of Fitness and Sports in Kanoya, Japan, 1 Shiromizu, Kanoya, Kagoshima, Japan, 8912393,
J Nutr Health Aging. 2014;18(6):579-85. doi: 10.1007/s12603-013-0419-7.
This study aimed to examine the applicability of ultrasound muscle thickness (MT) measurements for predicting whole body fat-free mass (FFM) in elderly individuals.
Cross-sectional study of 77 healthy elderly individuals.
MTs at nine sites of the body and FFM were determined using B-mode ultrasound and dual-energy x-ray absorptiometry (DXA), respectively, in 44 women and 33 men aged 52 to 78 yrs. Stepwise multiple regression analysis produced two equations for predicting DXA-based FFM with sex (dummy: woman = 0 and man = 1) and either MTs at the anterior and posterior of thigh and lower leg (Eq1) or the product of MT and limb length (MT×LL) at thigh anterior and posterior, lower leg posterior, and upper arm anterior (Eq2) as independent variables.
The R2 and SEE for each of the two equations were 0.929 and 2.5 kg for Eq1 and 0.955 and 2.0 kg for Eq2. The estimated FFM from each of Eq1 (44.4 ± 8.9 kg) and Eq2 (44.4 ± 9.0 kg) did not significantly differ from that of the DXA-based FFM (44.4 ± 9.2 kg), without systematic error. However, the absolute value of the difference between the DXA-based and estimated FFM was significantly greater with Eq1 (2.0 ± 1.5 kg) than with Eq2 (1.5 ± 1.3 kg).
The current results indicate that ultrasound MT measurement is useful to predict FFM in the elderly, and its accuracy is improved by using the product of MT and limb length as an independent variable.
本研究旨在探讨超声肌肉厚度(MT)测量值在预测老年人全身去脂体重(FFM)中的适用性。
77 名健康老年人的横断面研究。
使用 B 型超声和双能 X 射线吸收法(DXA)分别测定 44 名女性和 33 名年龄在 52 至 78 岁的男性的 9 个身体部位的 MT 和 FFM。逐步多元回归分析产生了两个方程,分别用性别(哑变量:女性=0,男性=1)和大腿前后、小腿前后和上臂前的 MT 和肢体长度(MT×LL)乘积作为自变量,预测基于 DXA 的 FFM。
两个方程的 R2 和 SEE 分别为 0.929 和 2.5 公斤(方程 1)和 0.955 和 2.0 公斤(方程 2)。方程 1(44.4±8.9 公斤)和方程 2(44.4±9.0 公斤)估计的 FFM 与基于 DXA 的 FFM(44.4±9.2 公斤)无显著差异,无系统误差。然而,基于 DXA 的和估计的 FFM 之间的差异绝对值,方程 1(2.0±1.5 公斤)明显大于方程 2(1.5±1.3 公斤)。
目前的结果表明,超声 MT 测量值可用于预测老年人的 FFM,并且通过使用 MT 和肢体长度的乘积作为自变量,其准确性得到提高。