Haapala Irja, Hirvonen Anu, Niskanen Leo, Uusitupa Matti, Kröger Heikki, Alhava Esko, Nissinen Aulikki
Department of Public Health and General Practice, University of Kuopio, Kuopio, Finland.
Clin Physiol Funct Imaging. 2002 Nov;22(6):383-91. doi: 10.1046/j.1475-097x.2002.00447.x.
In this study, the bioelectrical impedance analysis (BIA), skinfold thickness measurement (STM) and dual-energy X-ray absorptiometry (DXA), as a reference method, were compared with each other in the assessment of body composition in elderly (62-72-year-old) Finnish women (n=93). BIA had better agreement with DXA in the assessment of fat free mass (FFM, R2=0.70, Sres=2.1) and fat mass (FM, R2=0.93, Sres=2.3) than the STM (FFM, R2=0.62, Sres=2.4; FM, R2=0.89,Sres=2.8). There was quite a large variation in the estimates when different BIA prediction equations were used. The equation developed in this study, FFM (kg)=-128.06 + 1.85 x BMI-0.63 x weight + 1.07 x height - 0.03 x resistance +10.0 x waist-hip ratio, yielded a small and unbiased error (0.5 +/- 1.6 kg), with a small residual standard deviation (R2=0.83, Sres=1.6). However, error associated with the estimate of FM was positively related to the degree of FM. BIA(Heitmann) equation yielded unbiased estimates of both FFM and FM (FFM, R2=0.77, Sres=1.8; FM, R2=0.95, Sres=1.9). Both the STM and BIA (manufacturer's equation) resulted in error which was statistically significant and positively correlated with FFM and FM. These results indicate that BIA prediction equations, chosen with care, can improve the performance of equations based upon anthropometric measurements alone in the assessment of body composition in elderly women.
在本研究中，将生物电阻抗分析（BIA）、皮褶厚度测量（STM）以及作为参考方法的双能X线吸收法（DXA）用于评估芬兰老年（62至72岁）女性（n = 93）的身体成分，并进行相互比较。在评估去脂体重（FFM，R2 = 0.70，Sres = 2.1）和脂肪量（FM，R2 = 0.93，Sres = 2.3）方面，BIA与DXA的一致性优于STM（FFM，R2 = 0.62，Sres = 2.4；FM，R2 = 0.89，Sres = 2.8）。当使用不同的BIA预测方程时，估计值存在相当大的差异。本研究开发的方程FFM（kg）=-128.06 + 1.85×BMI - 0.63×体重 + 1.07×身高 - 0.03×电阻 + 10.0×腰臀比，产生的误差小且无偏差（0.5±1.6 kg），剩余标准差小（R2 = 0.83，Sres = 1.6）。然而，与FM估计相关的误差与FM程度呈正相关。BIA（Heitmann）方程对FFM和FM的估计均无偏差（FFM，R2 = 0.77，Sres = 1.8；FM，R2 = 0.95，Sres = 1.9）。STM和BIA（制造商方程）均导致具有统计学意义的误差，且与FFM和FM呈正相关。这些结果表明，谨慎选择的BIA预测方程可改善仅基于人体测量学的方程在评估老年女性身体成分方面的性能。
