Liang M T, Norris S
Human Performance Laboratory, University of Medicine and Dentistry of New Jersey, Stratford 08084.
Med Sci Sports Exerc. 1993 Nov;25(11):1231-9.
To examine the effects of increased skin blood flow (BFsk) and skin temperature (Tsk) on bioelectric impedance (BIA), 30 young males participated as subjects. All subjects underwent the following measurements: 1) BFsk and Tsk for the chest, biceps, thigh, and calf; 2) body composition using the BIA prediction equations and underwater weighting (UW); and 3) triceps skinfold (SFtri) thickness. After the baseline studies (M1) the subjects exercised for 30 min at approximately 83% of maximal heart rate. The above measurements were repeated immediately after exercise (M2), and at 1-h recovery from exercise (M3). Repeated measures ANOVA showed that mean Tsk and BFsk, and for the four measured sites were significantly increased from M1 to M2 (P < 0.05) and decreased from M2 to M3 (P < 0.05). These changes did not affect BIA measurement for resistance (R) and reactance between M1 and M2 (P > 0.05), and between M2 and M3 (P > 0.05). With regression analysis the following independent variables were identified as strong contributing factors for predicting fat-free mass (FFM): 1) SFtri and total body water for M1 and M3; and 2) WT, SFtri, and Tsk of the chest for M2. Two FFM equations have little multicolinearity (M1 and M2), e.g., they have low root mean square errors (< or = 2.6 kg), very high values for R2 (> or = 0.94), and relatively low values for coefficient of variations (< or = 5.65%). Differences (P < 0.05) were observed between the UW method and the Lukasi equation for estimating FFM for M1 and M3, but not for M2.(ABSTRACT TRUNCATED AT 250 WORDS)
为研究皮肤血流量(BFsk)增加和皮肤温度(Tsk)升高对生物电阻抗(BIA)的影响,30名年轻男性参与了此项研究。所有受试者均接受了以下测量:1)胸部、肱二头肌、大腿和小腿的BFsk和Tsk;2)使用BIA预测方程和水下称重法(UW)测量身体成分;3)肱三头肌皮褶(SFtri)厚度。在进行基线研究(M1)后,受试者以大约最大心率的83%进行30分钟的运动。运动结束后立即(M2)以及运动恢复1小时后(M3)重复上述测量。重复测量方差分析表明,四个测量部位的平均Tsk和BFsk从M1到M2显著增加(P < 0.05),从M2到M3显著降低(P < 0.05)。这些变化对M1和M2之间以及M2和M3之间的电阻抗(R)和电抗的BIA测量没有影响(P > 0.05)。通过回归分析,确定了以下自变量是预测去脂体重(FFM)的重要影响因素:1)M1和M3时的SFtri和全身水含量;2)M2时胸部的体重(WT)、SFtri和Tsk。两个FFM方程几乎不存在多重共线性(M1和M2),例如,它们具有较低的均方根误差(≤2.6 kg)、非常高的R2值(≥0.94)以及相对较低的变异系数值(≤5.65%)。在M1和M3时,UW法和卢卡西方程在估计FFM方面存在差异(P <