Prediction of visceral fat area from anthropometric and segmental body composition variables using computed tomography
Prediction of visceral fat area from anthropometric and segmental body composition variables using computed tomography
复制标题
DOI：
10.1007/s11332-007-0033-3
复制
发表时间：
2007-05
影响因子：
1.5
通讯作者：
S. Demura;S. Sato;T. Noguchi;Y. Nakata
中科院分区：
文献类型：
--
作者：
S. Demura;S. Sato;T. Noguchi;Y. Nakata
摘要本研究通过计算机断层扫描（CT）从人体测量和节段性脂肪百分比变量中估计了L4-L5水平（V4 -5）的内脏脂肪面积。受试者为73名年龄在24-78岁之间的成年人（50名男性和23名女性）。交叉验证与另外38名成年人（25名男性和13名女性），年龄在21-80岁之间。人体测量变量检查身高，体重，腰围，臀围，矢状径，和皮下脂肪厚度（SFT）在14个网站。分别用超声和双能X线吸收法（DXA）测量SFT和节段脂肪百分比。通过逐步多元回归分析，利用这些变量，得到了一组合适的预测VEGF 4 - 5的组合。使用7个预测因子获得预测方程：矢状径、腰围、3个皮下厚度变量（肩胛下、胸1和腹部）以及躯干和左腿的节段性脂肪百分比（R=0.902，R2=0.813，SEE=17.5 cm 2）。在Bland-Altman程序中，在原始组中未发现系统误差，但仅在交叉验证组的女性中发现。原始组和交叉验证组中，平均VCA 4 - 5值的预测方程的SEE百分比分别为22.5%和20.1%。此外，原始组和交叉验证组中平均VEGF 4 - 5值误差的SD值百分比分别为21.1%和22.2%。这些值与先前研究中的值相当或上级。本研究从人体测量学和节段性身体成分变量提供了一个有用的预测方程。
AbstractThis study estimated the area of visceral fat at the L4-L5 level (VFAL4-5) measured by computed tomography (CT) from anthropometric and segmental percent fat variables. Subjects were 73 adults (50 men and 23 women) aged 24–78 years. Cross-validation was permormed with another 38 adults (25 men and 13 women) aged 21–80 years. The anthropometric variables examined were height, weight, waist circumference, hip circumference, sagittal diameter, and subcutaneous fat thickness (SFT) at 14 sites. SFT and segmental percent fat were measured by ultrasonography and dualenergy X-ray absorptiometry (DXA), respectively. A combination of suitable predictors of VFAL4-5was derived by stepwise multiple regression analysis using these variables. A prediction equation was obtained that used seven predictors: sagittal diameter, waist circumference, three subcutaneous thickness variables (subscapula, chest 1 and abdomen), and segmental percent fat at the trunk and left leg (R=0.902, R2=0.813, SEE=17.5 cm2). In a Bland-Altman procedure, systematic error was not found in the original group but was only found in women in the cross-validation group. The percentage of the SEE of the prediction equation for the mean VFAL4-5value was 22.5% in the original group and 20.1% in the cross-validation group. Furthermore, the percentages of SD values of the error for the mean VFAL4-5value were 21.1% in the original group and 22.2% in the cross-validation group. These values were comparable or superior to those in previous studies. This study provides a useful prediction equation for VFAL4-5from anthropometry and segmental body composition variables.