Phillips Sarah M, Bandini Linda G, Compton Dung V, Naumova Elena N, Must Aviva
Department of Family Medicine and Community Health, Tufts University School of Medicine, Boston, MA, USA.
J Nutr. 2003 May;133(5):1419-25. doi: 10.1093/jn/133.5.1419.
Previous studies have assessed the ability of bioelectrical impedance analysis (BIA) to estimate body composition cross-sectionally, but less is known about the ability of BIA to detect changes in body composition longitudinally over the adolescent growth period. Body composition was assessed by isotopic dilution of H(2)(18)O and BIA in 196 initially nonobese girls enrolled in a longitudinal study. Two prediction equations for use in our population of girls were developed, one for use premenarcheally and one for use postmenarcheally. We compared estimates from our equation with those derived from several published equations. Using longitudinal data analysis techniques, we estimated changes in fat-free mass (FFM) and percentage body fat (%BF) over time from BIA, compared with changes in FFM and % BF estimated by H(2)(18)O. A total of 422 measurements from 196 girls were available for analysis. Of the participants, 26% had one measurement of body composition, 43% had two measurements of body composition and 31% had three or more measurements of body composition. By either H(2)(18)O or BIA, the mean %BF at study entry was 23% (n = 196) and the mean %BF at 4 y postmenarche was 27% (n = 133). In our cohort, the best predictive equations to estimate FFM by BIA were: PREMENARCHE: FFM = -5.508 + (0.420 x height(2)/resistance) + (0.209 x weight) + (0.08593 x height) + (0.515 x black race) - (0.02273 x other race). POSTMENARCHE: FFM = -11.937 + (0.389 x height(2)/resistance) + (0.285 x weight) + (0.124 x height) + (0.543 x black race) + (0.393 x other race). Overall, we found that BIA provided accurate estimates of the change in both FFM and %BF over time.
以往的研究评估了生物电阻抗分析(BIA)横断面估计身体成分的能力,但对于BIA在青少年生长发育期间纵向检测身体成分变化的能力了解较少。在一项纵向研究中,对196名最初不肥胖的女孩采用重水(H₂¹⁸O)同位素稀释法和BIA评估身体成分。针对我们研究中的女孩群体,开发了两个预测方程,一个用于月经初潮前,一个用于月经初潮后。我们将我们方程的估计值与几个已发表方程得出的估计值进行了比较。使用纵向数据分析技术,我们根据BIA估计了无脂肪量(FFM)和体脂百分比(%BF)随时间的变化,并与重水法估计的FFM和%BF变化进行了比较。共有来自196名女孩的422次测量数据可供分析。在参与者中,26%有一次身体成分测量,43%有两次身体成分测量,31%有三次或更多次身体成分测量。通过重水法或BIA,研究开始时的平均%BF为23%(n = 196),月经初潮后4年的平均%BF为27%(n = 133)。在我们的队列中,通过BIA估计FFM的最佳预测方程为:月经初潮前:FFM = -5.508 +(0.4⒉0×身高²/电阻)+(0.209×体重)+(0.08593×身高)+(0.515×黑人种族)-(0⒉273×其他种族)。月经初潮后:FFM = -11.937 +(0.389×身高²/电阻)+(0.285×体重)+(0.124×身高)+(0.54⒊黑人种族)+(0⒊93×其他种族)。总体而言,我们发现BIA能够准确估计FFM和%BF随时间的变化。