Armellini F, Zamboni M, Castelli S, Micciolo R, Mino A, Turcato E, Rigo L, Bergamo-Andreis I A, Bosello O
Institute of Internal Medicine, Ospedale Policlinico, Verona, Italy.
Int J Obes Relat Metab Disord. 1994 Sep;18(9):641-7.
The aim of this study was the verification of the clinical utility of predictive equations for total and intra-abdominal adipose tissue areas. Formulas were calculated using computed tomography (CT) as the gold standard. Ninety-three females were randomly divided into two groups. The predictive equation group was used to calculate the predictive equations for computed tomography adipose tissue areas at the L4-L5 level. These equations were then used to predict total and intra-abdominal adipose tissue area in the validation group. Correlations were made between metabolic parameters and both measured and calculated areas and single predictors. The following measurements were carried out: age, weight/height ratio, body mass index, waist, hip, waist/hip ratio, ultrasound measurement of intra-abdominal distance between abdominal muscle and aorta, sagittal abdominal diameter by CT, adipose tissue intra-abdominal area by CT, total abdominal adipose tissue area by CT. Blood glucose and insulin both fasting and after glucose load. Fasting cholesterol and triglycerides. The best predictors of total and visceral adipose tissue areas were, respectively: weight/height ratio and ultrasound intra-abdominal measurement. Correlations between metabolic parameters and adipose tissue areas both as measured and as calculated by predictive equations were quite similar. Correlations between metabolic parameters and single best predictors of measured adipose tissue areas also gave the same results. Some simple and safe anthropometric measurements can be used, instead of total and visceral adipose tissue area as assessed by CT, when studying associations between adipose tissue and metabolic parameters on sufficiently large groups of patients.
本研究的目的是验证用于计算全身和腹内脂肪组织面积的预测方程的临床实用性。以计算机断层扫描（CT）作为金标准来计算公式。93名女性被随机分为两组。预测方程组用于计算L4 - L5水平的计算机断层扫描脂肪组织面积的预测方程。然后用这些方程预测验证组的全身和腹内脂肪组织面积。对代谢参数与测量面积、计算面积以及单个预测指标之间进行相关性分析。进行了以下测量：年龄、体重/身高比、体重指数、腰围、臀围、腰臀比、超声测量腹直肌与主动脉之间的腹内距离、CT测量的矢状腹径、CT测量的腹内脂肪组织面积、CT测量的全腹脂肪组织面积。空腹及葡萄糖负荷后血糖和胰岛素水平。空腹胆固醇和甘油三酯水平。全身和内脏脂肪组织面积的最佳预测指标分别为：体重/身高比和超声腹内测量值。代谢参数与测量的脂肪组织面积以及预测方程计算的脂肪组织面积之间的相关性非常相似。代谢参数与测量的脂肪组织面积的单个最佳预测指标之间的相关性也得出相同结果。在对足够多的患者群体研究脂肪组织与代谢参数之间的关联时，一些简单且安全的人体测量方法可用于替代通过CT评估的全身和内脏脂肪组织面积。
