应用简易体脂参数估测男性2型糖尿病患者腹腔内及腹壁皮下脂肪面积

目的研究2型糖尿病患者简易体脂参数与腹壁皮下（SA）及腹腔内脂肪含量（VA）的关系，并且用简易体脂参数来建立预测SA及VA的方程。方法应用计算机断层扫描对91例男性2型糖尿病患者在腰椎4-5间隙水平进行SA及VA的测量，同时测量其体重（W）、身高（H）、体重指数（BMI）、腰围（WC）、臀围（HC）以及腰臀比（WHR）。随机抽取80％的病例（77例）通过多元逐步回归分析，分别以SA及VA为因变量，W、BMI、WC以及WHR为自变量．建立回归方程，用剩余的20％受试者（14例）对回归方程进行回代验证。结果在男性2型糖尿病患者，预测SA的回归方程中包含了BMI，预测VA的回归方程中包含了WC和BMI；在回代验证中，SA的预测值与测量值之间的平均差异为＋4．34％．VA的预测值与测量值之间的平均差异为＋2．06％，预测值与测量值之间的吻合程度较好。结论男性2型糖尿病患者的SA及VA可以通过简易体脂参数来预测。

Predicting Visceral and Abdominal Subcutaneous Adipose Areas with Anthropometric Parameters in Chinese Male Patients with Type 2 Diabetes

Objective To predict the abdominal subcutaneous adipose area (SA) and visceral adipose area (VA) with simple anthropometric parameters in Chinese male patients with type 2 diabetes. Methods The SA and VA were measured by Computed Tomography (CT) in 91 Chinese male patients with type 2 diabetes. The anthropometric parameters used in predicting the SA and VA included weight (W), height (H), body mass index (BMI), waist circumference (WC), hip circumference (HC) and waist to hip ratio (WHR). The multiple stepwise regression analysis was undertaken in a randomly selected sample with 77 subjects (80% of total subjects) to establish predictive equations between the SA or VA and the anthropometric parameters. The equations were then cross-validated in the remaining 14 subjects (20% of total subjects) that had not been included in the regression analysis. Results The BMI and WC entered into the final predictive equation for the SA, while the BMI remained to be the only variable for predicting the SA. The differences between the predicted values and the observed values were 2.06% and 4.34% for the VA and SA respectively. Conclusion The VA and SA in Chinese male patients with type 2 diabetes can be well predicted by anthropometric measurements.