Ran Xingwu, Li Xiaosong, Tong Nanwei, Li Qifu, Tang Baode, Li Xiujun
Department of Endocrinology and Metabolism, West China Hospital, Sichuan University, Chengdu 610041, China.
Sichuan Da Xue Xue Bao Yi Xue Ban. 2003 Jul;34(3):519-22, 526.
To explore the relationship of simple anthropometric parameters with abdominal subcutaneous adipose area (SA) with visceral adipose area (VA), and to generate equations predicting SA and VA by simple anthropometric parameters.
SA and VA were measured with computed tomography (CT) in 309 human subjects (male 88, female 221). Weight (W), height (H), body mass index (BMI), waist circumference (WC), abdominal circumference (AC), hip circumference (HC) and waist to hip ratio (WHR) were also measured. Multiple stepwise regression analysis was used to generate equations for predicting SA and VA from age and simple anthropometric parameters of 259 subjects (80%, including 181 women and 78 men) randomly selected from the overall sample. These equations were then cross-validated in the remaining 50 subjects (20%, including 40 women and 10 men).
The best regression equations for male were developed for predicting SA and VA, and the explanatory variables included WC and age. In women, the equation for predicting SA included AC and BMI; the equation for predicting VA included WHR and W and age. In the cross-validation study, the differences between predicted and observed values of VA in men and women were -7.83% and -6.94%, respectively; the differences between predicted and observed values of SA in men and women were 8.01% and 0.69%, respectively. The goodness of fit between predicted and observed values is good.
The absolute amount of human VA and SA in obese Chinese can be predicted from anthropometric measurements.
探讨简单人体测量参数与腹部皮下脂肪面积（SA）和内脏脂肪面积（VA）之间的关系，并通过简单人体测量参数生成预测SA和VA的方程。
对309名受试者（男性88名，女性221名）进行计算机断层扫描（CT）测量SA和VA。同时测量体重（W）、身高（H）、体重指数（BMI）、腰围（WC）、腹围（AC）、臀围（HC）和腰臀比（WHR）。采用多元逐步回归分析，从总体样本中随机选取259名受试者（80%，包括181名女性和78名男性）的年龄和简单人体测量参数生成预测SA和VA的方程。然后在其余50名受试者（20%，包括40名女性和10名男性）中进行交叉验证。
建立了男性预测SA和VA的最佳回归方程，解释变量包括WC和年龄。在女性中，预测SA的方程包括AC和BMI；预测VA的方程包括WHR、W和年龄。在交叉验证研究中，男性和女性VA预测值与观察值的差异分别为-7.83%和-6.94%；男性和女性SA预测值与观察值的差异分别为8.01%和0.69%。预测值与观察值之间的拟合度良好。
通过人体测量可以预测肥胖中国人的VA和SA的绝对量。
